Education and Training

Publications

1. Yamaguchi TN, Houlahan KE, Zhu H, Kurganovs N, Livingstone J, Fox NS, Yuan J, Sietsma Penington J, Jung CH, Schwarz T, Jaratlerdsiri W, van Riet J, Georgeson P, Mangiola S, Taraszka K, Lesurf R, Jiang J, Chow K, Heisler LE, Shiah YJ, Ramanand SG, Clarkson MJ, Nguyen A, Espiritu SMG, Stuchbery R, Jovelin R, Huang V, Bell C, O'Connor E, McCoy PJ, Lalansingh CM, Cmero M, Salcedo A, Chan EKF, Liu LY, Stricker PD, Bhandari V, Bornman RMS, Sendorek DH, Lonie A, Prokopec SD, Fraser M, Peters JS, Foucal A, Mutambirwa SBA, Mcintosh L, Orain M, Wakefield M, Picard V, Park DJ, Hovington H, Kerger M, Bergeron A, Sabelnykova V, Seo JH, Pomerantz MM, Zaitlen N, Waszak SM, Gusev A, Lacombe L, Fradet Y, Ryan A, Kishan AU, Lolkema MP, Weischenfeldt J, Têtu B, Costello AJ, Hayes VM, Hung RJ, He HH, McPherson JD, Pasaniuc B, van der Kwast T, Papenfuss AT, Freedman ML, Pope BJ, Bristow RG, Mani RS, Corcoran NM, Reimand J, Hovens CM, Boutros PC. The Germline and Somatic Origins of Prostate Cancer Heterogeneity.. Cancer discovery, 2025.
2. Jin J, Li B, Wang X, Yang X, Li Y, Wang R, Ye C, Shu J, Fan Z, Xue F, Ge T, Ritchie MD, Pasaniuc B, Wojcik G, Zhao B. PennPRS: a centralized cloud computing platform for efficient polygenic risk score training in precision medicine.. medRxiv : the preprint server for health sciences, 2025.
3. German J, Cordioli M, Tozzo V, Urbut S, Arumäe K, Smit RAJ, Lee J, Li JH, Janucik A, Ding Y, Akinkuolie A, Heyne H, Eoli A, Saad C, Al-Sarraj Y, Abdel-Latif R, Mohammed S, Hail MA, Barry A, Wang Z, Estonian Biobank research team, Cajuso T, Corbetta A, Natarajan P, Ripatti S, Philippakis A, Szczerbinski L, Pasaniuc B, Kutalik Z, Mbarek H, Loos RJF, Vainik U, Ganna A. Association between plausible genetic factors and weight loss from GLP1-RA and bariatric surgery: a multi-ancestry study in 10 960 individuals from 9 biobanks.. medRxiv : the preprint server for health sciences, 2025.
4. Abramowitz SA, Boulier K, Keat K, Cardone KM, Shivakumar M, DePaolo J, Judy R, Bermudez F, Mimouni N, Neylan C, Kim D, Rader DJ, Ritchie MD, Voight BF, Pasaniuc B, Levin MG, Damrauer SM, Penn Medicine BioBank. Evaluating Performance and Agreement of Coronary Heart Disease Polygenic Risk Scores.. JAMA, 2025.
5. De La Vega FM, Barnes KC, Bland H, Edwards T, Fox K, Ioannidis A, Kenny E, Mathias RA, Pasaniuc B, Torres JB, Velez Edwards DR. Session Introduction: Overcoming health disparities in precision medicine: Intersectional approaches in precision medicine.. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2025.
6. Chang YH, Head ST, Harrison T, Yu Y, Huff CD, Pasaniuc B, Lindström S, Bhattacharya A. Isoform-level analyses of 6 cancers uncover extensive genetic risk mechanisms undetected at the gene-level.. medRxiv : the preprint server for health sciences, 2024.
7. Abramowitz SA, Boulier K, Keat K, Cardone KM, Shivakumar M, DePaolo J, Judy R, Kim D, Rader DJ, Ritchie MD, Voight BF, Pasaniuc B, Levin MG, Damrauer SM. Population Performance and Individual Agreement of Coronary Artery Disease Polygenic Risk Scores.. medRxiv : the preprint server for health sciences, 2024.
8. Doyle AE, Bearden CE, Gur RE, Ledbetter DH, Martin CL, McCoy TH, Pasaniuc B, Perlis RH, Smoller JW, Davis LK. Advancing Mental Health Research Through Strategic Integration of Transdiagnostic Dimensions and Genomics.. Biological psychiatry, 2024.
9. Heffel MG, Zhou J, Zhang Y, Lee DS, Hou K, Pastor-Alonso O, Abuhanna KD, Galasso J, Kern C, Tai CY, Garcia-Padilla C, Nafisi M, Zhou Y, Schmitt AD, Li T, Haeussler M, Wick B, Zhang MJ, Xie F, Ziffra RS, Mukamel EA, Eskin E, Nowakowski TJ, Dixon JR, Pasaniuc B, Ecker JR, Zhu Q, Bintu B, Paredes MF, Luo C. Temporally distinct 3D multi-omic dynamics in the developing human brain.. Nature, 2024.
10. He Y, Lu W, Jee YH, Wang Y, Tsuo K, Qian DC, Diao JA, Huang H, Patel CJ, Byun J, Pasaniuc B, Atkinson EG, Amos CI, Moll M, Cho MH, Martin AR. Multi-trait and multi-ancestry genetic analysis of comorbid lung diseases and traits improves genetic discovery and polygenic risk prediction.. medRxiv : the preprint server for health sciences, 2024.
11. Jee YH, Thibord F, Dominguez A, Sept C, Boulier K, Venkateswaran V, Ding Y, Cherlin T, Verma SS, Faro VL, Bartz TM, Boland A, Brody JA, Deleuze JF, Emmerich J, Germain M, Johnson AD, Kooperberg C, Morange PE, Pankratz N, Psaty BM, Reiner AP, Smadja DM, Sitlani CM, Suchon P, Tang W, Trégouët DA, Zöllner S, Pasaniuc B, Damrauer SM, Sanna S, Snieder H, Lifelines Cohort Study, Kabrhel C, Smith NL, Kraft P, INVENT Consortium. Multi-ancestry polygenic risk scores for venous thromboembolism.. Human molecular genetics, 2024.
12. Fu M, Valiente-Banuet L, Wadhwa SS, Pasaniuc B, Vossel K, Chang TS. Improving genetic risk modeling of dementia from real-world data in underrepresented populations.. Communications biology, 2024.
13. Tsuo K, Shi Z, Ge T, Mandla R, Hou K, Ding Y, Pasaniuc B, Wang Y, Martin AR. All of Us diversity and scale improve polygenic prediction contextually with greatest improvements for under-represented populations.. bioRxiv : the preprint server for biology, 2024.
14. Hervoso JL, Amoah K, Dodson J, Choudhury M, Bhattacharya A, Quinones-Valdez G, Pasaniuc B, Xiao X. Splicing-specific transcriptome-wide association uncovers genetic mechanisms for schizophrenia.. American journal of human genetics, 2024.
15. Hou K, Xu Z, Ding Y, Mandla R, Shi Z, Boulier K, Harpak A, Pasaniuc B. Calibrated prediction intervals for polygenic scores across diverse contexts.. Nature genetics, 2024.
16. Wen C, Margolis M, Dai R, Zhang P, Przytycki PF, Vo DD, Bhattacharya A, Matoba N, Tang M, Jiao C, Kim M, Tsai E, Hoh C, Aygün N, Walker RL, Chatzinakos C, Clarke D, Pratt H, PsychENCODE Consortium†, Peters MA, Gerstein M, Daskalakis NP, Weng Z, Jaffe AE, Kleinman JE, Hyde TM, Weinberger DR, Bray NJ, Sestan N, Geschwind DH, Roeder K, Gusev A, Pasaniuc B, Stein JL, Love MI, Pollard KS, Liu C, Gandal MJ, PsychENCODE Consortium. Cross-ancestry atlas of gene, isoform, and splicing regulation in the developing human brain.. Science (New York, N.Y.), 2024.
17. Patowary A, Zhang P, Jops C, Vuong CK, Ge X, Hou K, Kim M, Gong N, Margolis M, Vo D, Wang X, Liu C, Pasaniuc B, Li JJ, Gandal MJ, de la Torre-Ubieta L. Developmental isoform diversity in the human neocortex informs neuropsychiatric risk mechanisms.. Science (New York, N.Y.), 2024.
18. Yap CX, Vo DD, Heffel MG, Bhattacharya A, Wen C, Yang Y, Kemper KE, Zeng J, Zheng Z, Zhu Z, Hannon E, Vellame DS, Franklin A, Caggiano C, Wamsley B, Geschwind DH, Zaitlen N, Gusev A, Pasaniuc B, Mill J, Luo C, Gandal MJ. Brain cell-type shifts in Alzheimer's disease, autism, and schizophrenia interrogated using methylomics and genetics.. Science advances, 2024.
19. Shang H, Ding Y, Venkateswaran V, Boulier K, Kathuria-Prakash N, Malidarreh PB, Luber JM, Pasaniuc B. Generalizability of PGS313 for breast cancer risk in a Los Angeles biobank.. HGG advances, 2024.
20. Johnson R, Stephens AV, Mester R, Knyazev S, Kohn LA, Freund MK, Bondhus L, Hill BL, Schwarz T, Zaitlen N, Arboleda VA, A Bastarache L, Pasaniuc B, Butte MJ. Electronic health record signatures identify undiagnosed patients with common variable immunodeficiency disease.. Science translational medicine, 2024.
21. Hou K, Gogarten S, Kim J, Hua X, Dias JA, Sun Q, Wang Y, Tan T, Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium Methods Working Group, Atkinson EG, Martin A, Shortt J, Hirbo J, Li Y, Pasaniuc B, Zhang H. Admix-kit: an integrated toolkit and pipeline for genetic analyses of admixed populations.. Bioinformatics (Oxford, England), 2024.
22. Chang T, Fu M, Valiente-Banuet L, Wadhwa S, Pasaniuc B, Vossel K. Improving genetic risk modeling of dementia from real-world data in underrepresented populations.. Research square, 2024.
23. Fu M, Valiente-Banuet L, Wadhwa SS, UCLA Precision Health Data Discovery Repository Working Group, UCLA Precision Health ATLAS Working Group, Pasaniuc B, Vossel K, Chang TS. Improving genetic risk modeling of dementia from real-world data in underrepresented populations.. medRxiv : the preprint server for health sciences, 2024.
24. Fu M, Tran T, Eskin E, Lajonchere C, Pasaniuc B, Geschwind DH, Vossel K, Chang TS. Multi-class Modeling Identifies Shared Genetic Risk for Late-onset Epilepsy and Alzheimer's Disease.. medRxiv : the preprint server for health sciences, 2024.
25. Boltz T, Schwarz T, Bot M, Hou K, Caggiano C, Lapinska S, Duan C, Boks MP, Kahn RS, Zaitlen N, Pasaniuc B, Ophoff R. Cell-type deconvolution of bulk-blood RNA-seq reveals biological insights into neuropsychiatric disorders.. American journal of human genetics, 2024.
26. Venkateswaran V, Boulier K, Ding Y, Johnson R, Bhattacharya A, Pasaniuc B. Polygenic scores for tobacco use provide insights into systemic health risks in a diverse EHR-linked biobank in Los Angeles.. Translational psychiatry, 2024.
27. Jee YH, Thibord F, Dominguez A, Sept C, Boulier K, Venkateswaran V, Ding Y, Cherlin T, Verma SS, Faro VL, Bartz TM, Boland A, Brody JA, Deleuze JF, Emmerich J, Germain M, Johnson AD, Kooperberg C, Morange PE, Pankratz N, Psaty BM, Reiner AP, Smadja DM, Sitlani CM, Suchon P, Tang W, Trégouët DA, Zöllner S, Pasaniuc B, Damrauer SM, Sanna S, Snieder H, Lifelines Cohort Study, Kabrhel C, Smith NL, Kraft P, INVENT Consortium. Multi-ancestry polygenic risk scores for venous thromboembolism.. medRxiv : the preprint server for health sciences, 2024.
28. De La Vega FM, Barnes KC, Fox K, Ioannidis A, Kenny E, Mathias RA, Pasaniuc B. Session Introduction: Overcoming health disparities in precision medicine.. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2024.
29. Bhattacharya A, Vo DD, Jops C, Kim M, Wen C, Hervoso JL, Pasaniuc B, Gandal MJ. Isoform-level transcriptome-wide association uncovers genetic risk mechanisms for neuropsychiatric disorders in the human brain.. Nature genetics, 2023.
30. Privé F, Albiñana C, Arbel J, Pasaniuc B, Vilhjálmsson BJ. Inferring disease architecture and predictive ability with LDpred2-auto.. American journal of human genetics, 2023.
31. Venkateswaran V, Petter E, Boulier K, Ding Y, Bhattacharya A, Pasaniuc B. Interplay Of Serum Bilirubin and Tobacco Smoking with Lung and Head and Neck Cancers in a Diverse, EHR-linked Los Angeles Biobank.. Research square, 2023.
32. Patowary A, Zhang P, Jops C, Vuong CK, Ge X, Hou K, Kim M, Gong N, Margolis M, Vo D, Wang X, Liu C, Pasaniuc B, Li JJ, Gandal MJ, de la Torre-Ubieta L. Developmental isoform diversity in the human neocortex informs neuropsychiatric risk mechanisms.. bioRxiv : the preprint server for biology, 2023.
33. Venkateswaran V, Petter E, Boulier K, Ding Y, Bhattacharya A, Pasaniuc B. Interplay Of Serum Bilirubin and Tobacco Smoking with Lung and Head and Neck Cancers in a Diverse, EHR-linked Los Angeles Biobank.. medRxiv : the preprint server for health sciences, 2023.
34. Hou K, Gogarten S, Kim J, Hua X, Dias JA, Sun Q, Wang Y, Tan T, Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium Methods Working Group, Atkinson EG, Martin A, Shortt J, Hirbo J, Li Y, Pasaniuc B, Zhang H. Admix-kit: An Integrated Toolkit and Pipeline for Genetic Analyses of Admixed Populations.. bioRxiv : the preprint server for biology, 2023.
35. COVID-19 Host Genetics Initiative. A second update on mapping the human genetic architecture of COVID-19.. Nature, 2023.
36. Majumdar A, Pasaniuc B. A Bayesian method for estimating gene-level polygenicity under the framework of transcriptome-wide association study.. Statistics in medicine, 2023.
37. Kachuri L, Chatterjee N, Hirbo J, Schaid DJ, Martin I, Kullo IJ, Kenny EE, Pasaniuc B, Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium Methods Working Group, Witte JS, Ge T. Principles and methods for transferring polygenic risk scores across global populations.. Nature reviews. Genetics, 2023.
38. Hou K, Xu Z, Ding Y, Harpak A, Pasaniuc B. Calibrated prediction intervals for polygenic scores across diverse contexts.. medRxiv : the preprint server for health sciences, 2023.
39. Petter E, Ding Y, Hou K, Bhattacharya A, Gusev A, Zaitlen N, Pasaniuc B. Genotype error due to low-coverage sequencing induces uncertainty in polygenic scoring.. American journal of human genetics, 2023.
40. Caggiano C, Boudaie A, Shemirani R, Mefford J, Petter E, Chiu A, Ercelen D, He R, Tward D, Paul KC, Chang TS, Pasaniuc B, Kenny EE, Shortt JA, Gignoux CR, Balliu B, Arboleda VA, Belbin G, Zaitlen N. Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region.. Nature medicine, 2023.
41. Lindström S, Wang L, Feng H, Majumdar A, Huo S, Macdonald J, Harrison T, Turman C, Chen H, Mancuso N, Bammler T, Breast Cancer Association Consortium (BCAC), Gallinger S, Gruber SB, Gunter MJ, Le Marchand L, Moreno V, Offit K, Colorectal Transdisciplinary Study (CORECT), Colon Cancer Family Registry Study (CCFR), Genetics And, De Vivo I, O'Mara TA, Spurdle AB, Tomlinson I, Endometrial Cancer Association Consortium (ECAC), Fitzgerald R, Gharahkhani P, Gockel I, Jankowski J, Macgregor S, Schumacher J, Barnholtz-Sloan J, Bondy ML, Houlston RS, Jenkins RB, Melin B, Wrensch M, Brennan P, Christiani DC, Johansson M, Mckay J, Aldrich MC, Amos CI, Landi MT, Tardon A, International Lung Cancer Consortium (ILCCO), Bishop DT, Demenais F, Goldstein AM, Iles MM, Kanetsky PA, Law MH, Ovarian Cancer Association Consortium (OCAC), Amundadottir LT, Stolzenberg-Solomon R, Wolpin BM, Pancreatic Cancer Cohort Consortium (Panscan), Klein A, Petersen G, Risch H, Pancreatic Cancer Case-Control Consortium (Panc4), The PRACTICAL Consortium, Chanock SJ, Purdue MP, Scelo G, Pharoah P, Kar S, Hung RJ, Pasaniuc B, Kraft P. Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions.. Journal of the National Cancer Institute, 2023.
42. Boltz T, Schwarz T, Bot M, Hou K, Caggiano C, Lapinska S, Duan C, Boks MP, Kahn RS, Zaitlen N, Pasaniuc B, Ophoff R. Cell type deconvolution of bulk blood RNA-Seq to reveal biological insights of neuropsychiatric disorders.. bioRxiv : the preprint server for biology, 2023.
43. Mester R, Hou K, Ding Y, Meeks G, Burch KS, Bhattacharya A, Henn BM, Pasaniuc B. Impact of cross-ancestry genetic architecture on GWASs in admixed populations.. American journal of human genetics, 2023.
44. Ding Y, Hou K, Xu Z, Pimplaskar A, Petter E, Boulier K, Privé F, Vilhjálmsson BJ, Olde Loohuis LM, Pasaniuc B. Polygenic scoring accuracy varies across the genetic ancestry continuum.. Nature, 2023.
45. Wang X, Lu Z, Bhattacharya A, Pasaniuc B, Mancuso N. twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysis.. Bioinformatics (Oxford, England), 2023.
46. Hou K, Ding Y, Xu Z, Wu Y, Bhattacharya A, Mester R, Belbin GM, Buyske S, Conti DV, Darst BF, Fornage M, Gignoux C, Guo X, Haiman C, Kenny EE, Kim M, Kooperberg C, Lange L, Manichaikul A, North KE, Peters U, Rasmussen-Torvik LJ, Rich SS, Rotter JI, Wheeler HE, Wojcik GL, Zhou Y, Sankararaman S, Pasaniuc B. Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals.. Nature genetics, 2023.
47. Wen C, Margolis M, Dai R, Zhang P, Przytycki PF, Vo DD, Bhattacharya A, Matoba N, Jiao C, Kim M, Tsai E, Hoh C, Aygün N, Walker RL, Chatzinakos C, Clarke D, Pratt H, Consortium P, Peters MA, Gerstein M, Daskalakis NP, Weng Z, Jaffe AE, Kleinman JE, Hyde TM, Weinberger DR, Bray NJ, Sestan N, Geschwind DH, Roeder K, Gusev A, Pasaniuc B, Stein JL, Love MI, Pollard KS, Liu C, Gandal MJ. Cross-ancestry, cell-type-informed atlas of gene, isoform, and splicing regulation in the developing human brain.. medRxiv : the preprint server for health sciences, 2023.
48. Morova T, Ding Y, Huang CF, Sar F, Schwarz T, Giambartolomei C, Baca SC, Grishin D, Hach F, Gusev A, Freedman ML, Pasaniuc B, Lack NA. Optimized high-throughput screening of non-coding variants identified from genome-wide association studies.. Nucleic acids research, 2023.
49. Johnson R, Ding Y, Bhattacharya A, Knyazev S, Chiu A, Lajonchere C, Geschwind DH, Pasaniuc B. The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobank.. Cell genomics, 2023.
50. Barnes KC, De La Vega FM, Bustamante CD, Gignoux CR, Kenny E, Mathias RA, Pasaniuc B. Session Introduction: Overcoming health disparities in precision medicine.. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2023.
51. Kneppers J, Severson TM, Siefert JC, Schol P, Joosten SEP, Yu IPL, Huang CF, Morova T, Altintas UB, Giambartolomei C, Seo JH, Baca SC, Carneiro I, Emberly E, Pasaniuc B, Jerónimo C, Henrique R, Freedman ML, Wessels LFA, Lack NA, Bergman AM, Zwart W. Extensive androgen receptor enhancer heterogeneity in primary prostate cancers underlies transcriptional diversity and metastatic potential.. Nature communications, 2022.
52. Butler-Laporte G, Povysil G, Kosmicki JA, Cirulli ET, Drivas T, Furini S, Saad C, Schmidt A, Olszewski P, Korotko U, Quinodoz M, Çelik E, Kundu K, Walter K, Jung J, Stockwell AD, Sloofman LG, Jordan DM, Thompson RC, Del Valle D, Simons N, Cheng E, Sebra R, Schadt EE, Kim-Schulze S, Gnjatic S, Merad M, Buxbaum JD, Beckmann ND, Charney AW, Przychodzen B, Chang T, Pottinger TD, Shang N, Brand F, Fava F, Mari F, Chwialkowska K, Niemira M, Pula S, Baillie JK, Stuckey A, Salas A, Bello X, Pardo-Seco J, Gómez-Carballa A, Rivero-Calle I, Martinón-Torres F, Ganna A, Karczewski KJ, Veerapen K, Bourgey M, Bourque G, Eveleigh RJ, Forgetta V, Morrison D, Langlais D, Lathrop M, Mooser V, Nakanishi T, Frithiof R, Hultström M, Lipcsey M, Marincevic-Zuniga Y, Nordlund J, Schiabor Barrett KM, Lee W, Bolze A, White S, Riffle S, Tanudjaja F, Sandoval E, Neveux I, Dabe S, Casadei N, Motameny S, Alaamery M, Massadeh S, Aljawini N, Almutairi MS, Arabi YM, Alqahtani SA, Al Harthi FS, Almutairi A, Alqubaishi F, Alotaibi S, Binowayn A, Alsolm EA, El Bardisy H, Fawzy M, Cai F, Soranzo N, Butterworth A, COVID-19 Host Genetics Initiative, DeCOI Host Genetics Group, GEN-COVID Multicenter Study (Italy), Mount Sinai Clinical Intelligence Center, GEN-COVID consortium (Spain), GenOMICC Consortium, Japan COVID-19 Task Force, Regeneron Genetics Center, Geschwind DH, Arteaga S, Stephens A, Butte MJ, Boutros PC, Yamaguchi TN, Tao S, Eng S, Sanders T, Tung PJ, Broudy ME, Pan Y, Gonzalez A, Chavan N, Johnson R, Pasaniuc B, Yaspan B, Smieszek S, Rivolta C, Bibert S, Bochud PY, Dabrowski M, Zawadzki P, Sypniewski M, Kaja E, Chariyavilaskul P, Nilaratanakul V, Hirankarn N, Shotelersuk V, Pongpanich M, Phokaew C, Chetruengchai W, Tokunaga K, Sugiyama M, Kawai Y, Hasegawa T, Naito T, Namkoong H, Edahiro R, Kimura A, Ogawa S, Kanai T, Fukunaga K, Okada Y, Imoto S, Miyano S, Mangul S, Abedalthagafi MS, Zeberg H, Grzymski JJ, Washington NL, Ossowski S, Ludwig KU, Schulte EC, Riess O, Moniuszko M, Kwasniewski M, Mbarek H, Ismail SI, Verma A, Goldstein DB, Kiryluk K, Renieri A, Ferreira MAR, Richards JB. Exome-wide association study to identify rare variants influencing COVID-19 outcomes: Results from the Host Genetics Initiative.. PLoS genetics, 2022.
53. Gandal MJ, Haney JR, Wamsley B, Yap CX, Parhami S, Emani PS, Chang N, Chen GT, Hoftman GD, de Alba D, Ramaswami G, Hartl CL, Bhattacharya A, Luo C, Jin T, Wang D, Kawaguchi R, Quintero D, Ou J, Wu YE, Parikshak NN, Swarup V, Belgard TG, Gerstein M, Pasaniuc B, Geschwind DH. Broad transcriptomic dysregulation occurs across the cerebral cortex in ASD.. Nature, 2022.
54. Bhattacharya A, Hirbo JB, Zhou D, Zhou W, Zheng J, Kanai M, Global Biobank Meta-analysis Initiative, Pasaniuc B, Gamazon ER, Cox NJ. Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis Initiative.. Cell genomics, 2022.
55. Zhou W, Kanai M, Wu KH, Rasheed H, Tsuo K, Hirbo JB, Wang Y, Bhattacharya A, Zhao H, Namba S, Surakka I, Wolford BN, Lo Faro V, Lopera-Maya EA, Läll K, Favé MJ, Partanen JJ, Chapman SB, Karjalainen J, Kurki M, Maasha M, Brumpton BM, Chavan S, Chen TT, Daya M, Ding Y, Feng YA, Guare LA, Gignoux CR, Graham SE, Hornsby WE, Ingold N, Ismail SI, Johnson R, Laisk T, Lin K, Lv J, Millwood IY, Moreno-Grau S, Nam K, Palta P, Pandit A, Preuss MH, Saad C, Setia-Verma S, Thorsteinsdottir U, Uzunovic J, Verma A, Zawistowski M, Zhong X, Afifi N, Al-Dabhani KM, Al Thani A, Bradford Y, Campbell A, Crooks K, de Bock GH, Damrauer SM, Douville NJ, Finer S, Fritsche LG, Fthenou E, Gonzalez-Arroyo G, Griffiths CJ, Guo Y, Hunt KA, Ioannidis A, Jansonius NM, Konuma T, Lee MTM, Lopez-Pineda A, Matsuda Y, Marioni RE, Moatamed B, Nava-Aguilar MA, Numakura K, Patil S, Rafaels N, Richmond A, Rojas-Muñoz A, Shortt JA, Straub P, Tao R, Vanderwerff B, Vernekar M, Veturi Y, Barnes KC, Boezen M, Chen Z, Chen CY, Cho J, Smith GD, Finucane HK, Franke L, Gamazon ER, Ganna A, Gaunt TR, Ge T, Huang H, Huffman J, Katsanis N, Koskela JT, Lajonchere C, Law MH, Li L, Lindgren CM, Loos RJF, MacGregor S, Matsuda K, Olsen CM, Porteous DJ, Shavit JA, Snieder H, Takano T, Trembath RC, Vonk JM, Whiteman DC, Wicks SJ, Wijmenga C, Wright J, Zheng J, Zhou X, Awadalla P, Boehnke M, Bustamante CD, Cox NJ, Fatumo S, Geschwind DH, Hayward C, Hveem K, Kenny EE, Lee S, Lin YF, Mbarek H, Mägi R, Martin HC, Medland SE, Okada Y, Palotie AV, Pasaniuc B, Rader DJ, Ritchie MD, Sanna S, Smoller JW, Stefansson K, van Heel DA, Walters RG, Zöllner S, Biobank of the Americas, Biobank Japan Project, BioMe, BioVU, CanPath - Ontario Health Study, China Kadoorie Biobank Collaborative Group, Colorado Center for Personalized Medicine, deCODE Genetics, Estonian Biobank, FinnGen, Generation Scotland, Genes & Health Research Team, LifeLines, Mass General Brigham Biobank, Michigan Genomics Initiative, National Biobank of Korea, Penn Medicine BioBank, Qatar Biobank, QSkin Sun and Health Study, Taiwan Biobank, HUNT Study, UCLA ATLAS Community Health Initiative, Uganda Genome Resource, UK Biobank, Martin AR, Willer CJ, Daly MJ, Neale BM. Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease.. Cell genomics, 2022.
56. Baca SC, Singler C, Zacharia S, Seo JH, Morova T, Hach F, Ding Y, Schwarz T, Huang CF, Anderson J, Fay AP, Kalita C, Groha S, Pomerantz MM, Wang V, Linder S, Sweeney CJ, Zwart W, Lack NA, Pasaniuc B, Takeda DY, Gusev A, Freedman ML. Genetic determinants of chromatin reveal prostate cancer risk mediated by context-dependent gene regulation.. Nature genetics, 2022.
57. Linder S, Hoogstraat M, Stelloo S, Eickhoff N, Schuurman K, de Barros H, Alkemade M, Bekers EM, Severson TM, Sanders J, Huang CF, Morova T, Altintas UB, Hoekman L, Kim Y, Baca SC, Sjöström M, Zaalberg A, Hintzen DC, de Jong J, Kluin RJC, de Rink I, Giambartolomei C, Seo JH, Pasaniuc B, Altelaar M, Medema RH, Feng FY, Zoubeidi A, Freedman ML, Wessels LFA, Butler LM, Lack NA, van der Poel H, Bergman AM, Zwart W. Drug-Induced Epigenomic Plasticity Reprograms Circadian Rhythm Regulation to Drive Prostate Cancer toward Androgen Independence.. Cancer discovery, 2022.
58. Zhang MJ, Hou K, Dey KK, Sakaue S, Jagadeesh KA, Weinand K, Taychameekiatchai A, Rao P, Pisco AO, Zou J, Wang B, Gandal M, Raychaudhuri S, Pasaniuc B, Price AL. Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data.. Nature genetics, 2022.
59. Lu Z, Gopalan S, Yuan D, Conti DV, Pasaniuc B, Gusev A, Mancuso N. Multi-ancestry fine-mapping improves precision to identify causal genes in transcriptome-wide association studies.. American journal of human genetics, 2022.
60. Gazal S, Weissbrod O, Hormozdiari F, Dey KK, Nasser J, Jagadeesh KA, Weiner DJ, Shi H, Fulco CP, O'Connor LJ, Pasaniuc B, Engreitz JM, Price AL. Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity.. Nature genetics, 2022.
61. Schwarz T, Boltz T, Hou K, Bot M, Duan C, Loohuis LO, Boks MP, Kahn RS, Ophoff RA, Pasaniuc B. Powerful eQTL mapping through low-coverage RNA sequencing.. HGG advances, 2022.
62. Knyazev S, Chhugani K, Sarwal V, Ayyala R, Singh H, Karthikeyan S, Deshpande D, Baykal PI, Comarova Z, Lu A, Porozov Y, Vasylyeva TI, Wertheim JO, Tierney BT, Chiu CY, Sun R, Wu A, Abedalthagafi MS, Pak VM, Nagaraj SH, Smith AL, Skums P, Pasaniuc B, Komissarov A, Mason CE, Bortz E, Lemey P, Kondrashov F, Beerenwinkel N, Lam TT, Wu NC, Zelikovsky A, Knight R, Crandall KA, Mangul S. Unlocking capacities of genomics for the COVID-19 response and future pandemics.. Nature methods, 2022.
63. Burch KS, Hou K, Ding Y, Wang Y, Gazal S, Shi H, Pasaniuc B. Partitioning gene-level contributions to complex-trait heritability by allele frequency identifies disease-relevant genes.. American journal of human genetics, 2022.
64. Pathak GA, Singh K, Wendt FR, Fleming TW, Overstreet C, Koller D, Tylee DS, De Angelis F, Cabrera Mendoza B, Levey DF, Koenen KC, Krystal JH, Pietrzak RH, O' Donell C, Gaziano JM, Falcone G, Stein MB, Gelernter J, Pasaniuc B, Mancuso N, Davis LK, Polimanti R. Genetically regulated multi-omics study for symptom clusters of posttraumatic stress disorder highlights pleiotropy with hematologic and cardio-metabolic traits.. Molecular psychiatry, 2022.
65. Majumdar A, Patel P, Pasaniuc B, Ophoff RA. A summary-statistics-based approach to examine the role of serotonin transporter promoter tandem repeat polymorphism in psychiatric phenotypes.. European journal of human genetics : EJHG, 2021.
66. Ding Y, Hou K, Burch KS, Lapinska S, Privé F, Vilhjálmsson B, Sankararaman S, Pasaniuc B. Large uncertainty in individual polygenic risk score estimation impacts PRS-based risk stratification.. Nature genetics, 2021.
67. Wu Y, Burch KS, Ganna A, Pajukanta P, Pasaniuc B, Sankararaman S. Fast estimation of genetic correlation for biobank-scale data.. American journal of human genetics, 2021.
68. Hou K, Bhattacharya A, Mester R, Burch KS, Pasaniuc B. On powerful GWAS in admixed populations.. Nature genetics, 2021.
69. Giambartolomei C, Seo JH, Schwarz T, Freund MK, Johnson RD, Spisak S, Baca SC, Gusev A, Mancuso N, Pasaniuc B, Freedman ML. H3K27ac HiChIP in prostate cell lines identifies risk genes for prostate cancer susceptibility.. American journal of human genetics, 2021.
70. Reddy J, Fonseca MAS, Corona RI, Nameki R, Segato Dezem F, Klein IA, Chang H, Chaves-Moreira D, Afeyan LK, Malta TM, Lin X, Abbasi F, Font-Tello A, Sabedot T, Cejas P, Rodríguez-Malavé N, Seo JH, Lin DC, Matulonis U, Karlan BY, Gayther SA, Pasaniuc B, Gusev A, Noushmehr H, Long H, Freedman ML, Drapkin R, Young RA, Abraham BJ, Lawrenson K. Predicting master transcription factors from pan-cancer expression data.. Science advances, 2021.
71. Johnson R, Burch KS, Hou K, Paciuc M, Pasaniuc B, Sankararaman S. Estimation of regional polygenicity from GWAS provides insights into the genetic architecture of complex traits.. PLoS computational biology, 2021.
72. Pathak GA, Singh K, Miller-Fleming TW, Wendt FR, Ehsan N, Hou K, Johnson R, Lu Z, Gopalan S, Yengo L, Mohammadi P, Pasaniuc B, Polimanti R, Davis LK, Mancuso N. Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization.. Nature communications, 2021.
73. Rondel FM, Hosseini R, Sahoo B, Knyazev S, Mandric I, Stewart F, Mandoiu II, Pasaniuc B, Porozov Y, Zelikovsky A. Pipeline for Analyzing Activity of Metabolic Pathways in Planktonic Communities Using Metatranscriptomic Data.. Journal of computational biology : a journal of computational molecular cell biology, 2021.
74. Chen H, Majumdar A, Wang L, Kar S, Brown KM, Feng H, Turman C, Dennis J, Easton D, Michailidou K, Simard J, Breast Cancer Association Consortium (BCAC), Bishop T, Cheng IC, Huyghe JR, Schmit SL, Colorectal Transdisciplinary Study (CORECT), Colon Cancer Family Registry Study (CCFR), Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), O'Mara TA, Spurdle AB, Endometrial Cancer Association Consortium (ECAC), Gharahkhani P, Schumacher J, Jankowski J, Gockel I, Esophageal Cancer GWAS Consortium, Bondy ML, Houlston RS, Jenkins RB, Melin B, Glioma International Case Control Consortium (GICC), Lesseur C, Ness AR, Diergaarde B, Olshan AF, Head-Neck Cancer GWAS Consortium, Amos CI, Christiani DC, Landi MT, McKay JD, International Lung Cancer Consortium (ILCCO), Brossard M, Iles MM, Law MH, MacGregor S, Melanoma GWAS Consortium, Beesley J, Jones MR, Tyrer J, Winham SJ, Ovarian Cancer Association Consortium (OCAC), Klein AP, Petersen G, Li D, Wolpin BM, Pancreatic Cancer Case-Control Consortium (PANC4), Pancreatic Cancer Cohort Consortium (PanScan), Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, PRACTICAL consortium, CRUK, BPC3, CAPS, PEGASUS, Brennan P, Chanock SJ, Gaborieau V, Purdue MP, Renal Cancer GWAS Consortium, Pharoah P, Hung RJ, Amundadottir LT, Kraft P, Pasaniuc B, Lindström S. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals.. HGG advances, 2021.
75. Feng H, Mancuso N, Pasaniuc B, Kraft P. Multitrait transcriptome-wide association study (TWAS) tests.. Genetic epidemiology, 2021.
76. Majumdar A, Giambartolomei C, Cai N, Haldar T, Schwarz T, Gandal M, Flint J, Pasaniuc B. Leveraging eQTLs to identify individual-level tissue of interest for a complex trait.. PLoS computational biology, 2021.
77. Feng H, Mancuso N, Gusev A, Majumdar A, Major M, Pasaniuc B, Kraft P. Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies.. PLoS genetics, 2021.
78. Majumdar A, Burch KS, Haldar T, Sankararaman S, Pasaniuc B, Gauderman WJ, Witte JS. A two-step approach to testing overall effect of gene-environment interaction for multiple phenotypes.. Bioinformatics (Oxford, England), 2021.
79. Pazokitoroudi A, Chiu AM, Burch KS, Pasaniuc B, Sankararaman S. Quantifying the contribution of dominance deviation effects to complex trait variation in biobank-scale data.. American journal of human genetics, 2021.
80. Baca SC, Takeda DY, Seo JH, Hwang J, Ku SY, Arafeh R, Arnoff T, Agarwal S, Bell C, O'Connor E, Qiu X, Alaiwi SA, Corona RI, Fonseca MAS, Giambartolomei C, Cejas P, Lim K, He M, Sheahan A, Nassar A, Berchuck JE, Brown L, Nguyen HM, Coleman IM, Kaipainen A, De Sarkar N, Nelson PS, Morrissey C, Korthauer K, Pomerantz MM, Ellis L, Pasaniuc B, Lawrenson K, Kelly K, Zoubeidi A, Hahn WC, Beltran H, Long HW, Brown M, Corey E, Freedman ML. Reprogramming of the FOXA1 cistrome in treatment-emergent neuroendocrine prostate cancer.. Nature communications, 2021.
81. Chang TS, Ding Y, Freund MK, Johnson R, Schwarz T, Yabu JM, Hazlett C, Chiang JN, Wulf DA, UCLA Precision Health Data Discovery Repository Working Group, Geschwind DH, Butte MJ, Pasaniuc B. Pre-existing conditions in Hispanics/Latinxs that are COVID-19 risk factors.. iScience, 2021.
82. Reus LM, Pasaniuc B, Posthuma D, Boltz T, International FTD-Genomics Consortium, Pijnenburg YAL, Ophoff RA. Gene Expression Imputation Across Multiple Tissue Types Provides Insight Into the Genetic Architecture of Frontotemporal Dementia and Its Clinical Subtypes.. Biological psychiatry, 2021.
83. Lee CH, Shi H, Pasaniuc B, Eskin E, Han B. PLEIO: a method to map and interpret pleiotropic loci with GWAS summary statistics.. American journal of human genetics, 2020.
84. Hazlett C, Wulf DA, Pasaniuc B, Arah OA, Erlandson KM, Montague BT. Credible learning of hydroxychloroquine and dexamethasone effects on COVID-19 mortality outside of randomized trials.. medRxiv : the preprint server for health sciences, 2020.
85. Pathak GA, Singh K, Miller-Fleming TW, Wendt FR, Ehsan N, Hou K, Johnson R, Lu Z, Gopalan S, Yengo L, Mohammadi P, Pasaniuc B, Polimanti R, Davis LK, Mancuso N. Integrative analyses identify susceptibility genes underlying COVID-19 hospitalization.. medRxiv : the preprint server for health sciences, 2020.
86. Watt AC, Cejas P, DeCristo MJ, Metzger-Filho O, Lam EYN, Qiu X, BrinJones H, Kesten N, Coulson R, Font-Tello A, Lim K, Vadhi R, Daniels VW, Montero J, Taing L, Meyer CA, Gilan O, Bell CC, Korthauer KD, Giambartolomei C, Pasaniuc B, Seo JH, Freedman ML, Ma C, Ellis MJ, Krop I, Winer E, Letai A, Brown M, Dawson MA, Long HW, Zhao JJ, Goel S. CDK4/6 inhibition reprograms the breast cancer enhancer landscape by stimulating AP-1 transcriptional activity.. Nature cancer, 2020.
87. Mandric I, Schwarz T, Majumdar A, Hou K, Briscoe L, Perez R, Subramaniam M, Hafemeister C, Satija R, Ye CJ, Pasaniuc B, Halperin E. Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis.. Nature communications, 2020.
88. Pazokitoroudi A, Wu Y, Burch KS, Hou K, Zhou A, Pasaniuc B, Sankararaman S. Efficient variance components analysis across millions of genomes.. Nature communications, 2020.
89. Pomerantz MM, Qiu X, Zhu Y, Takeda DY, Pan W, Baca SC, Gusev A, Korthauer KD, Severson TM, Ha G, Viswanathan SR, Seo JH, Nguyen HM, Zhang B, Pasaniuc B, Giambartolomei C, Alaiwi SA, Bell CA, O'Connor EP, Chabot MS, Stillman DR, Lis R, Font-Tello A, Li L, Cejas P, Bergman AM, Sanders J, van der Poel HG, Gayther SA, Lawrenson K, Fonseca MAS, Reddy J, Corona RI, Martovetsky G, Egan B, Choueiri T, Ellis L, Garraway IP, Lee GM, Corey E, Long HW, Zwart W, Freedman ML. Prostate cancer reactivates developmental epigenomic programs during metastatic progression.. Nature genetics, 2020.
90. Chang TS, Ding Y, Freund MK, Johnson R, Schwarz T, Yabu JM, Hazlett C, Chiang JN, Wulf A, UCLA Health Data Mart Working Group, Geschwind DH, Butte MJ, Pasaniuc B. Prior diagnoses and medications as risk factors for COVID-19 in a Los Angeles Health System.. medRxiv : the preprint server for health sciences, 2020.
91. Hernandez LM, Kim M, Hoftman GD, Haney JR, de la Torre-Ubieta L, Pasaniuc B, Gandal MJ. Transcriptomic Insight Into the Polygenic Mechanisms Underlying Psychiatric Disorders.. Biological psychiatry, 2020.
92. Choi J, Zhang T, Vu A, Ablain J, Makowski MM, Colli LM, Xu M, Hennessey RC, Yin J, Rothschild H, Gräwe C, Kovacs MA, Funderburk KM, Brossard M, Taylor J, Pasaniuc B, Chari R, Chanock SJ, Hoggart CJ, Demenais F, Barrett JH, Law MH, Iles MM, Yu K, Vermeulen M, Zon LI, Brown KM. Massively parallel reporter assays of melanoma risk variants identify MX2 as a gene promoting melanoma.. Nature communications, 2020.
93. Shi H, Burch KS, Johnson R, Freund MK, Kichaev G, Mancuso N, Manuel AM, Dong N, Pasaniuc B. Localizing Components of Shared Transethnic Genetic Architecture of Complex Traits from GWAS Summary Data.. American journal of human genetics, 2020.
94. Walker RL, Ramaswami G, Hartl C, Mancuso N, Gandal MJ, de la Torre-Ubieta L, Pasaniuc B, Stein JL, Geschwind DH. Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms.. Cell, 2020.
95. Walker RL, Ramaswami G, Hartl C, Mancuso N, Gandal MJ, Torre-Ubieta L, Pasaniuc B, Stein JL, Geschwind DH. Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms.. Cell, 2020.
96. Feng H, Gusev A, Pasaniuc B, Wu L, Long J, Abu-Full Z, Aittomäki K, Andrulis IL, Anton-Culver H, Antoniou AC, Arason A, Arndt V, Aronson KJ, Arun BK, Asseryanis E, Auer PL, Azzollini J, Balmaña J, Barkardottir RB, Barnes DR, Barrowdale D, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bialkowska K, Blanco A, Blomqvist C, Boeckx B, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borg A, Brauch H, Brenner H, Briceno I, Broeks A, Brüning T, Burwinkel B, Cai Q, Caldés T, Caligo MA, Campbell I, Canisius S, Campa D, Carter BD, Carter J, Castelao JE, Chang-Claude J, Chanock SJ, Christiansen H, Chung WK, Claes KBM, Clarke CL, GEMO Study Collaborators, EMBRACE Collaborators, GC-HBOC study Collaborators, Couch FJ, Cox A, Cross SS, Cybulski C, Czene K, Daly MB, de la Hoya M, De Leeneer K, Dennis J, Devilee P, Diez O, Domchek SM, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Ejlertsen B, Ellberg C, Engel C, Eriksson M, Fasching PA, Fletcher O, Flyger H, Fostira F, Friedman E, Fritschi L, Frost D, Gabrielson M, Ganz PA, Gapstur SM, Garber J, García-Closas M, García-Sáenz JA, Gaudet MM, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Gronwald J, Guénel P, Haiman CA, Hall P, Hamann U, Hake C, He W, Heyworth J, Hogervorst FBL, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Huang G, Hulick PJ, Humphreys K, Imyanitov EN, ABCTB Investigators, HEBON Investigators, BCFR Investigators, OCGN Investigators, Isaacs C, Jakimovska M, Jakubowska A, James P, Janavicius R, Jankowitz RC, John EM, Johnson N, Joseph V, Jung A, Karlan BY, Khusnutdinova E, Kiiski JI, Konstantopoulou I, Kristensen VN, Laitman Y, Lambrechts D, Lazaro C, Leroux D, Leslie G, Lester J, Lesueur F, Lindor N, Lindström S, Lo WY, Loud JT, Lubinski J, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martens JWM, Martinez ME, Matricardi L, Maurer T, Mavroudis D, McGuffog L, Meindl A, Menon U, Michailidou K, Kapoor PM, Miller A, Montagna M, Moreno F, Moserle L, Mulligan AM, Muranen TA, Nathanson KL, Neuhausen SL, Nevanlinna H, Nevelsteen I, Nielsen FC, Nikitina-Zake L, Offit K, Olah E, Olopade OI, Olsson H, Osorio A, Papp J, Park-Simon TW, Parsons MT, Pedersen IS, Peixoto A, Peterlongo P, Peto J, Pharoah PDP, Phillips KA, Plaseska-Karanfilska D, Poppe B, Pradhan N, Prajzendanc K, Presneau N, Punie K, Pylkäs K, Radice P, Rantala J, Rashid MU, Rennert G, Risch HA, Robson M, Romero A, Saloustros E, Sandler DP, Santos C, Sawyer EJ, Schmidt MK, Schmidt DF, Schmutzler RK, Schoemaker MJ, Scott RJ, Sharma P, Shu XO, Simard J, Singer CF, Skytte AB, Soucy P, Southey MC, Spinelli JJ, Spurdle AB, Stone J, Swerdlow AJ, Tapper WJ, Taylor JA, Teixeira MR, Terry MB, Teulé A, Thomassen M, Thöne K, Thull DL, Tischkowitz M, Toland AE, Tollenaar RAEM, Torres D, Truong T, Tung N, Vachon CM, van Asperen CJ, van den Ouweland AMW, van Rensburg EJ, Vega A, Viel A, Vieiro-Balo P, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Winqvist R, Yang XR, Yannoukakos D, Ziogas A, Milne RL, Easton DF, Chenevix-Trench G, Zheng W, Kraft P, Jiang X. Transcriptome-wide association study of breast cancer risk by estrogen-receptor status.. Genetic epidemiology, 2020.
97. Julienne H, Shi H, Pasaniuc B, Aschard H. RAISS: robust and accurate imputation from summary statistics.. Bioinformatics (Oxford, England), 2019.
98. Walker RL, Ramaswami G, Hartl C, Mancuso N, Gandal MJ, de la Torre-Ubieta L, Pasaniuc B, Stein JL, Geschwind DH. Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms.. Cell, 2019.
99. Houlahan KE, Shiah YJ, Gusev A, Yuan J, Ahmed M, Shetty A, Ramanand SG, Yao CQ, Bell C, O'Connor E, Huang V, Fraser M, Heisler LE, Livingstone J, Yamaguchi TN, Rouette A, Foucal A, Espiritu SMG, Sinha A, Sam M, Timms L, Johns J, Wong A, Murison A, Orain M, Picard V, Hovington H, Bergeron A, Lacombe L, Lupien M, Fradet Y, Têtu B, McPherson JD, Pasaniuc B, Kislinger T, Chua MLK, Pomerantz MM, van der Kwast T, Freedman ML, Mani RS, He HH, Bristow RG, Boutros PC. Genome-wide germline correlates of the epigenetic landscape of prostate cancer.. Nature medicine, 2019.
100. Jiang X, Finucane HK, Schumacher FR, Schmit SL, Tyrer JP, Han Y, Michailidou K, Lesseur C, Kuchenbaecker KB, Dennis J, Conti DV, Casey G, Gaudet MM, Huyghe JR, Albanes D, Aldrich MC, Andrew AS, Andrulis IL, Anton-Culver H, Antoniou AC, Antonenkova NN, Arnold SM, Aronson KJ, Arun BK, Bandera EV, Barkardottir RB, Barnes DR, Batra J, Beckmann MW, Benitez J, Benlloch S, Berchuck A, Berndt SI, Bickeböller H, Bien SA, Blomqvist C, Boccia S, Bogdanova NV, Bojesen SE, Bolla MK, Brauch H, Brenner H, Brenton JD, Brook MN, Brunet J, Brunnström H, Buchanan DD, Burwinkel B, Butzow R, Cadoni G, Caldés T, Caligo MA, Campbell I, Campbell PT, Cancel-Tassin G, Cannon-Albright L, Campa D, Caporaso N, Carvalho AL, Chan AT, Chang-Claude J, Chanock SJ, Chen C, Christiani DC, Claes KBM, Claessens F, Clements J, Collée JM, Correa MC, Couch FJ, Cox A, Cunningham JM, Cybulski C, Czene K, Daly MB, deFazio A, Devilee P, Diez O, Gago-Dominguez M, Donovan JL, Dörk T, Duell EJ, Dunning AM, Dwek M, Eccles DM, Edlund CK, Edwards DRV, Ellberg C, Evans DG, Fasching PA, Ferris RL, Liloglou T, Figueiredo JC, Fletcher O, Fortner RT, Fostira F, Franceschi S, Friedman E, Gallinger SJ, Ganz PA, Garber J, García-Sáenz JA, Gayther SA, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, Goode EL, Goodman MT, Goodman G, Grankvist K, Greene MH, Gronberg H, Gronwald J, Guénel P, Håkansson N, Hall P, Hamann U, Hamdy FC, Hamilton RJ, Hampe J, Haugen A, Heitz F, Herrero R, Hillemanns P, Hoffmeister M, Høgdall E, Hong YC, Hopper JL, Houlston R, Hulick PJ, Hunter DJ, Huntsman DG, Idos G, Imyanitov EN, Ingles SA, Isaacs C, Jakubowska A, James P, Jenkins MA, Johansson M, Johansson M, John EM, Joshi AD, Kaneva R, Karlan BY, Kelemen LE, Kühl T, Khaw KT, Khusnutdinova E, Kibel AS, Kiemeney LA, Kim J, Kjaer SK, Knight JA, Kogevinas M, Kote-Jarai Z, Koutros S, Kristensen VN, Kupryjanczyk J, Lacko M, Lam S, Lambrechts D, Landi MT, Lazarus P, Le ND, Lee E, Lejbkowicz F, Lenz HJ, Leslie G, Lessel D, Lester J, Levine DA, Li L, Li CI, Lindblom A, Lindor NM, Liu G, Loupakis F, Lubinski J, Maehle L, Maier C, Mannermaa A, Marchand LL, Margolin S, May T, McGuffog L, Meindl A, Middha P, Miller A, Milne RL, MacInnis RJ, Modugno F, Montagna M, Moreno V, Moysich KB, Mucci L, Muir K, Mulligan AM, Nathanson KL, Neal DE, Ness AR, Neuhausen SL, Nevanlinna H, Newcomb PA, Newcomb LF, Nielsen FC, Nikitina-Zake L, Nordestgaard BG, Nussbaum RL, Offit K, Olah E, Olama AAA, Olopade OI, Olshan AF, Olsson H, Osorio A, Pandha H, Park JY, Pashayan N, Parsons MT, Pejovic T, Penney KL, Peters WHM, Phelan CM, Phipps AI, Plaseska-Karanfilska D, Pring M, Prokofyeva D, Radice P, Stefansson K, Ramus SJ, Raskin L, Rennert G, Rennert HS, van Rensburg EJ, Riggan MJ, Risch HA, Risch A, Roobol MJ, Rosenstein BS, Rossing MA, De Ruyck K, Saloustros E, Sandler DP, Sawyer EJ, Schabath MB, Schleutker J, Schmidt MK, Setiawan VW, Shen H, Siegel EM, Sieh W, Singer CF, Slattery ML, Sorensen KD, Southey MC, Spurdle AB, Stanford JL, Stevens VL, Stintzing S, Stone J, Sundfeldt K, Sutphen R, Swerdlow AJ, Tajara EH, Tangen CM, Tardon A, Taylor JA, Teare MD, Teixeira MR, Terry MB, Terry KL, Thibodeau SN, Thomassen M, Bjørge L, Tischkowitz M, Toland AE, Torres D, Townsend PA, Travis RC, Tung N, Tworoger SS, Ulrich CM, Usmani N, Vachon CM, Van Nieuwenhuysen E, Vega A, Aguado-Barrera ME, Wang Q, Webb PM, Weinberg CR, Weinstein S, Weissler MC, Weitzel JN, West CML, White E, Whittemore AS, Wichmann HE, Wiklund F, Winqvist R, Wolk A, Woll P, Woods M, Wu AH, Wu X, Yannoukakos D, Zheng W, Zienolddiny S, Ziogas A, Zorn KK, Lane JM, Saxena R, Thomas D, Hung RJ, Diergaarde B, McKay J, Peters U, Hsu L, García-Closas M, Eeles RA, Chenevix-Trench G, Brennan PJ, Haiman CA, Simard J, Easton DF, Gruber SB, Pharoah PDP, Price AL, Pasaniuc B, Amos CI, Kraft P, Lindström S. Publisher Correction: Shared heritability and functional enrichment across six solid cancers.. Nature communications, 2019.
101. Hou K, Burch KS, Majumdar A, Shi H, Mancuso N, Wu Y, Sankararaman S, Pasaniuc B. Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture.. Nature genetics, 2019.
102. Chen H, Kichaev G, Bien SA, MacDonald JW, Wang L, Bammler TK, Auer P, Pasaniuc B, Lindström S. Genetic associations of breast and prostate cancer are enriched for regulatory elements identified in disease-related tissues.. Human genetics, 2019.
103. Wu L, Wang J, Cai Q, Cavazos TB, Emami NC, Long J, Shu XO, Lu Y, Guo X, Bauer JA, Pasaniuc B, Penney KL, Freedman ML, Kote-Jarai Z, Witte JS, Haiman CA, Eeles RA, Zheng W, PRACTICAL, CRUK, BPC3, CAPS, PEGASUS Consortia. Identification of Novel Susceptibility Loci and Genes for Prostate Cancer Risk: A Transcriptome-Wide Association Study in Over 140,000 European Descendants.. Cancer research, 2019.
104. Major M, Freund MK, Burch KS, Mancuso N, Ng M, Furniss D, Pasaniuc B, Ophoff RA. Integrative analysis of Dupuytren's disease identifies novel risk locus and reveals a shared genetic etiology with BMI.. Genetic epidemiology, 2019.
105. Gusev A, Lawrenson K, Lin X, Lyra PC, Kar S, Vavra KC, Segato F, Fonseca MAS, Lee JM, Pejovic T, Liu G, Ovarian Cancer Association Consortium, Karlan BY, Freedman ML, Noushmehr H, Monteiro AN, Pharoah PDP, Pasaniuc B, Gayther SA. A transcriptome-wide association study of high-grade serous epithelial ovarian cancer identifies new susceptibility genes and splice variants.. Nature genetics, 2019.
106. Wainberg M, Sinnott-Armstrong N, Mancuso N, Barbeira AN, Knowles DA, Golan D, Ermel R, Ruusalepp A, Quertermous T, Hao K, Björkegren JLM, Im HK, Pasaniuc B, Rivas MA, Kundaje A. Opportunities and challenges for transcriptome-wide association studies.. Nature genetics, 2019.
107. Mancuso N, Freund MK, Johnson R, Shi H, Kichaev G, Gusev A, Pasaniuc B. Probabilistic fine-mapping of transcriptome-wide association studies.. Nature genetics, 2019.
108. Jiang X, Finucane HK, Schumacher FR, Schmit SL, Tyrer JP, Han Y, Michailidou K, Lesseur C, Kuchenbaecker KB, Dennis J, Conti DV, Casey G, Gaudet MM, Huyghe JR, Albanes D, Aldrich MC, Andrew AS, Andrulis IL, Anton-Culver H, Antoniou AC, Antonenkova NN, Arnold SM, Aronson KJ, Arun BK, Bandera EV, Barkardottir RB, Barnes DR, Batra J, Beckmann MW, Benitez J, Benlloch S, Berchuck A, Berndt SI, Bickeböller H, Bien SA, Blomqvist C, Boccia S, Bogdanova NV, Bojesen SE, Bolla MK, Brauch H, Brenner H, Brenton JD, Brook MN, Brunet J, Brunnström H, Buchanan DD, Burwinkel B, Butzow R, Cadoni G, Caldés T, Caligo MA, Campbell I, Campbell PT, Cancel-Tassin G, Cannon-Albright L, Campa D, Caporaso N, Carvalho AL, Chan AT, Chang-Claude J, Chanock SJ, Chen C, Christiani DC, Claes KBM, Claessens F, Clements J, Collée JM, Correa MC, Couch FJ, Cox A, Cunningham JM, Cybulski C, Czene K, Daly MB, deFazio A, Devilee P, Diez O, Gago-Dominguez M, Donovan JL, Dörk T, Duell EJ, Dunning AM, Dwek M, Eccles DM, Edlund CK, Edwards DRV, Ellberg C, Evans DG, Fasching PA, Ferris RL, Liloglou T, Figueiredo JC, Fletcher O, Fortner RT, Fostira F, Franceschi S, Friedman E, Gallinger SJ, Ganz PA, Garber J, García-Sáenz JA, Gayther SA, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, Goode EL, Goodman MT, Goodman G, Grankvist K, Greene MH, Gronberg H, Gronwald J, Guénel P, Håkansson N, Hall P, Hamann U, Hamdy FC, Hamilton RJ, Hampe J, Haugen A, Heitz F, Herrero R, Hillemanns P, Hoffmeister M, Høgdall E, Hong YC, Hopper JL, Houlston R, Hulick PJ, Hunter DJ, Huntsman DG, Idos G, Imyanitov EN, Ingles SA, Isaacs C, Jakubowska A, James P, Jenkins MA, Johansson M, Johansson M, John EM, Joshi AD, Kaneva R, Karlan BY, Kelemen LE, Kühl T, Khaw KT, Khusnutdinova E, Kibel AS, Kiemeney LA, Kim J, Kjaer SK, Knight JA, Kogevinas M, Kote-Jarai Z, Koutros S, Kristensen VN, Kupryjanczyk J, Lacko M, Lam S, Lambrechts D, Landi MT, Lazarus P, Le ND, Lee E, Lejbkowicz F, Lenz HJ, Leslie G, Lessel D, Lester J, Levine DA, Li L, Li CI, Lindblom A, Lindor NM, Liu G, Loupakis F, Lubinski J, Maehle L, Maier C, Mannermaa A, Marchand LL, Margolin S, May T, McGuffog L, Meindl A, Middha P, Miller A, Milne RL, MacInnis RJ, Modugno F, Montagna M, Moreno V, Moysich KB, Mucci L, Muir K, Mulligan AM, Nathanson KL, Neal DE, Ness AR, Neuhausen SL, Nevanlinna H, Newcomb PA, Newcomb LF, Nielsen FC, Nikitina-Zake L, Nordestgaard BG, Nussbaum RL, Offit K, Olah E, Olama AAA, Olopade OI, Olshan AF, Olsson H, Osorio A, Pandha H, Park JY, Pashayan N, Parsons MT, Pejovic T, Penney KL, Peters WHM, Phelan CM, Phipps AI, Plaseska-Karanfilska D, Pring M, Prokofyeva D, Radice P, Stefansson K, Ramus SJ, Raskin L, Rennert G, Rennert HS, van Rensburg EJ, Riggan MJ, Risch HA, Risch A, Roobol MJ, Rosenstein BS, Rossing MA, De Ruyck K, Saloustros E, Sandler DP, Sawyer EJ, Schabath MB, Schleutker J, Schmidt MK, Setiawan VW, Shen H, Siegel EM, Sieh W, Singer CF, Slattery ML, Sorensen KD, Southey MC, Spurdle AB, Stanford JL, Stevens VL, Stintzing S, Stone J, Sundfeldt K, Sutphen R, Swerdlow AJ, Tajara EH, Tangen CM, Tardon A, Taylor JA, Teare MD, Teixeira MR, Terry MB, Terry KL, Thibodeau SN, Thomassen M, Bjørge L, Tischkowitz M, Toland AE, Torres D, Townsend PA, Travis RC, Tung N, Tworoger SS, Ulrich CM, Usmani N, Vachon CM, Van Nieuwenhuysen E, Vega A, Aguado-Barrera ME, Wang Q, Webb PM, Weinberg CR, Weinstein S, Weissler MC, Weitzel JN, West CML, White E, Whittemore AS, Wichmann HE, Wiklund F, Winqvist R, Wolk A, Woll P, Woods M, Wu AH, Wu X, Yannoukakos D, Zheng W, Zienolddiny S, Ziogas A, Zorn KK, Lane JM, Saxena R, Thomas D, Hung RJ, Diergaarde B, McKay J, Peters U, Hsu L, García-Closas M, Eeles RA, Chenevix-Trench G, Brennan PJ, Haiman CA, Simard J, Easton DF, Gruber SB, Pharoah PDP, Price AL, Pasaniuc B, Amos CI, Kraft P, Lindström S. Shared heritability and functional enrichment across six solid cancers.. Nature communications, 2019.
109. Mancuso N, Gayther S, Gusev A, Zheng W, Penney KL, PRACTICAL consortium, Kote-Jarai Z, Eeles R, Freedman M, Haiman C, Pasaniuc B. Author Correction: Large-scale transcriptome-wide association study identifies new prostate cancer risk regions.. Nature communications, 2019.
110. Kichaev G, Bhatia G, Loh PR, Gazal S, Burch K, Freund MK, Schoech A, Pasaniuc B, Price AL. Leveraging Polygenic Functional Enrichment to Improve GWAS Power.. American journal of human genetics, 2018.
111. Franceschini N, Giambartolomei C, de Vries PS, Finan C, Bis JC, Huntley RP, Lovering RC, Tajuddin SM, Winkler TW, Graff M, Kavousi M, Dale C, Smith AV, Hofer E, van Leeuwen EM, Nolte IM, Lu L, Scholz M, Sargurupremraj M, Pitkänen N, Franzén O, Joshi PK, Noordam R, Marioni RE, Hwang SJ, Musani SK, Schminke U, Palmas W, Isaacs A, Correa A, Zonderman AB, Hofman A, Teumer A, Cox AJ, Uitterlinden AG, Wong A, Smit AJ, Newman AB, Britton A, Ruusalepp A, Sennblad B, Hedblad B, Pasaniuc B, Penninx BW, Langefeld CD, Wassel CL, Tzourio C, Fava C, Baldassarre D, O'Leary DH, Teupser D, Kuh D, Tremoli E, Mannarino E, Grossi E, Boerwinkle E, Schadt EE, Ingelsson E, Veglia F, Rivadeneira F, Beutner F, Chauhan G, Heiss G, Snieder H, Campbell H, Völzke H, Markus HS, Deary IJ, Jukema JW, de Graaf J, Price J, Pott J, Hopewell JC, Liang J, Thiery J, Engmann J, Gertow K, Rice K, Taylor KD, Dhana K, Kiemeney LALM, Lind L, Raffield LM, Launer LJ, Holdt LM, Dörr M, Dichgans M, Traylor M, Sitzer M, Kumari M, Kivimaki M, Nalls MA, Melander O, Raitakari O, Franco OH, Rueda-Ochoa OL, Roussos P, Whincup PH, Amouyel P, Giral P, Anugu P, Wong Q, Malik R, Rauramaa R, Burkhardt R, Hardy R, Schmidt R, de Mutsert R, Morris RW, Strawbridge RJ, Wannamethee SG, Hägg S, Shah S, McLachlan S, Trompet S, Seshadri S, Kurl S, Heckbert SR, Ring S, Harris TB, Lehtimäki T, Galesloot TE, Shah T, de Faire U, Plagnol V, Rosamond WD, Post W, Zhu X, Zhang X, Guo X, Saba Y, MEGASTROKE Consortium, Dehghan A, Seldenrijk A, Morrison AC, Hamsten A, Psaty BM, van Duijn CM, Lawlor DA, Mook-Kanamori DO, Bowden DW, Schmidt H, Wilson JF, Wilson JG, Rotter JI, Wardlaw JM, Deanfield J, Halcox J, Lyytikäinen LP, Loeffler M, Evans MK, Debette S, Humphries SE, Völker U, Gudnason V, Hingorani AD, Björkegren JLM, Casas JP, O'Donnell CJ. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.. Nature communications, 2018.
112. Mancuso N, Gayther S, Gusev A, Zheng W, Penney KL, Kote-Jarai Z, Eeles R, Freedman M, Haiman C, Pasaniuc B, PRACTICAL consortium. Large-scale transcriptome-wide association study identifies new prostate cancer risk regions.. Nature communications, 2018.
113. Freund MK, Burch KS, Shi H, Mancuso N, Kichaev G, Garske KM, Pan DZ, Miao Z, Mohlke KL, Laakso M, Pajukanta P, Pasaniuc B, Arboleda VA. Phenotype-Specific Enrichment of Mendelian Disorder Genes near GWAS Regions across 62 Complex Traits.. American journal of human genetics, 2018.
114. Giambartolomei C, Zhenli Liu J, Zhang W, Hauberg M, Shi H, Boocock J, Pickrell J, Jaffe AE, CommonMind Consortium, Pasaniuc B, Roussos P. A Bayesian framework for multiple trait colocalization from summary association statistics.. Bioinformatics (Oxford, England), 2018.
115. Johnson R, Shi H, Pasaniuc B, Sankararaman S. A unifying framework for joint trait analysis under a non-infinitesimal model.. Bioinformatics (Oxford, England), 2018.
116. Barfield R, Feng H, Gusev A, Wu L, Zheng W, Pasaniuc B, Kraft P. Transcriptome-wide association studies accounting for colocalization using Egger regression.. Genetic epidemiology, 2018.
117. Gusev A, Mancuso N, Won H, Kousi M, Finucane HK, Reshef Y, Song L, Safi A, Schizophrenia Working Group of the Psychiatric Genomics Consortium, McCarroll S, Neale BM, Ophoff RA, O'Donovan MC, Crawford GE, Geschwind DH, Katsanis N, Sullivan PF, Pasaniuc B, Price AL. Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights.. Nature genetics, 2018.
118. Roytman M, Kichaev G, Gusev A, Pasaniuc B. Methods for fine-mapping with chromatin and expression data.. PLoS genetics, 2018.
119. Shi H, Mancuso N, Spendlove S, Pasaniuc B. Local Genetic Correlation Gives Insights into the Shared Genetic Architecture of Complex Traits.. American journal of human genetics, 2017.
120. Hellwege JN, Jeff JM, Wise LA, Gallagher CS, Wellons M, Hartmann KE, Jones SF, Torstenson ES, Dickinson S, Ruiz-Narváez EA, Rohland N, Allen A, Reich D, Tandon A, Pasaniuc B, Mancuso N, Im HK, Hinds DA, Palmer JR, Rosenberg L, Denny JC, Roden DM, Stewart EA, Morton CC, Kenny EE, Edwards TL, Velez Edwards DR. Erratum to: A multi-stage genome-wide association study of uterine fibroids in African Americans.. Human genetics, 2017.
121. Hellwege JN, Jeff JM, Wise LA, Gallagher CS, Wellons M, Hartmann KE, Jones SF, Torstenson ES, Dickinson S, Ruiz-Narváez EA, Rohland N, Allen A, Reich D, Tandon A, Pasaniuc B, Mancuso N, Im HK, Hinds DA, Palmer JR, Rosenberg L, Denny JC, Roden DM, Stewart EA, Morton CC, Kenny EE, Edwards TL, Velez Edwards DR. A multi-stage genome-wide association study of uterine fibroids in African Americans.. Human genetics, 2017.
122. Brown R, Kichaev G, Mancuso N, Boocock J, Pasaniuc B. Enhanced methods to detect haplotypic effects on gene expression.. Bioinformatics (Oxford, England), 2017.
123. Somers M, Olde Loohuis LM, Aukes MF, Pasaniuc B, de Visser KCL, Kahn RS, Sommer IE, Ophoff RA. A Genetic Population Isolate in The Netherlands Showing Extensive Haplotype Sharing and Long Regions of Homozygosity.. Genes, 2017.
124. Hormozdiari F, Zhu A, Kichaev G, Ju CJ, Segrè AV, Joo JWJ, Won H, Sankararaman S, Pasaniuc B, Shifman S, Eskin E. Widespread Allelic Heterogeneity in Complex Traits.. American journal of human genetics, 2017.
125. Mancuso N, Shi H, Goddard P, Kichaev G, Gusev A, Pasaniuc B. Integrating Gene Expression with Summary Association Statistics to Identify Genes Associated with 30 Complex Traits.. American journal of human genetics, 2017.
126. Zubair N, Graff M, Luis Ambite J, Bush WS, Kichaev G, Lu Y, Manichaikul A, Sheu WH, Absher D, Assimes TL, Bielinski SJ, Bottinger EP, Buzkova P, Chuang LM, Chung RH, Cochran B, Dumitrescu L, Gottesman O, Haessler JW, Haiman C, Heiss G, Hsiung CA, Hung YJ, Hwu CM, Juang JJ, Le Marchand L, Lee IT, Lee WJ, Lin LA, Lin D, Lin SY, Mackey RH, Martin LW, Pasaniuc B, Peters U, Predazzi I, Quertermous T, Reiner AP, Robinson J, Rotter JI, Ryckman KK, Schreiner PJ, Stahl E, Tao R, Tsai MY, Waite LL, Wang TD, Buyske S, Ida Chen YD, Cheng I, Crawford DC, Loos RJF, Rich SS, Fornage M, North KE, Kooperberg C, Carty CL. Fine-mapping of lipid regions in global populations discovers ethnic-specific signals and refines previously identified lipid loci.. Human molecular genetics, 2016.
127. Hormozdiari F, van de Bunt M, Segrè AV, Li X, Joo JWJ, Bilow M, Sul JH, Sankararaman S, Pasaniuc B, Eskin E. Colocalization of GWAS and eQTL Signals Detects Target Genes.. American journal of human genetics, 2016.
128. Pasaniuc B, Price AL. Dissecting the genetics of complex traits using summary association statistics.. Nature reviews. Genetics, 2016.
129. Kichaev G, Roytman M, Johnson R, Eskin E, Lindström S, Kraft P, Pasaniuc B. Improved methods for multi-trait fine mapping of pleiotropic risk loci.. Bioinformatics (Oxford, England), 2016.
130. Shi H, Kichaev G, Pasaniuc B. Contrasting the Genetic Architecture of 30 Complex Traits from Summary Association Data.. American journal of human genetics, 2016.
131. Gusev A, Shi H, Kichaev G, Pomerantz M, Li F, Long HW, Ingles SA, Kittles RA, Strom SS, Rybicki BA, Nemesure B, Isaacs WB, Zheng W, Pettaway CA, Yeboah ED, Tettey Y, Biritwum RB, Adjei AA, Tay E, Truelove A, Niwa S, Chokkalingam AP, John EM, Murphy AB, Signorello LB, Carpten J, Leske MC, Wu SY, Hennis AJ, Neslund-Dudas C, Hsing AW, Chu L, Goodman PJ, Klein EA, Witte JS, Casey G, Kaggwa S, Cook MB, Stram DO, Blot WJ, Eeles RA, Easton D, Kote-Jarai Z, Al Olama AA, Benlloch S, Muir K, Giles GG, Southey MC, Fitzgerald LM, Gronberg H, Wiklund F, Aly M, Henderson BE, Schleutker J, Wahlfors T, Tammela TL, Nordestgaard BG, Key TJ, Travis RC, Neal DE, Donovan JL, Hamdy FC, Pharoah P, Pashayan N, Khaw KT, Stanford JL, Thibodeau SN, McDonnell SK, Schaid DJ, Maier C, Vogel W, Luedeke M, Herkommer K, Kibel AS, Cybulski C, Wokolorczyk D, Kluzniak W, Cannon-Albright L, Teerlink C, Brenner H, Dieffenbach AK, Arndt V, Park JY, Sellers TA, Lin HY, Slavov C, Kaneva R, Mitev V, Batra J, Spurdle A, Clements JA, Teixeira MR, Pandha H, Michael A, Paulo P, Maia S, Kierzek A, PRACTICAL consortium, Conti DV, Albanes D, Berg C, Berndt SI, Campa D, Crawford ED, Diver WR, Gapstur SM, Gaziano JM, Giovannucci E, Hoover R, Hunter DJ, Johansson M, Kraft P, Le Marchand L, Lindström S, Navarro C, Overvad K, Riboli E, Siddiq A, Stevens VL, Trichopoulos D, Vineis P, Yeager M, Trynka G, Raychaudhuri S, Schumacher FR, Price AL, Freedman ML, Haiman CA, Pasaniuc B. Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation.. Nature communications, 2016.
132. Gusev A, Ko A, Shi H, Bhatia G, Chung W, Penninx BW, Jansen R, de Geus EJ, Boomsma DI, Wright FA, Sullivan PF, Nikkola E, Alvarez M, Civelek M, Lusis AJ, Lehtimäki T, Raitoharju E, Kähönen M, Seppälä I, Raitakari OT, Kuusisto J, Laakso M, Price AL, Pajukanta P, Pasaniuc B. Integrative approaches for large-scale transcriptome-wide association studies.. Nature genetics, 2016.
133. Han Y, Rand KA, Hazelett DJ, Ingles SA, Kittles RA, Strom SS, Rybicki BA, Nemesure B, Isaacs WB, Stanford JL, Zheng W, Schumacher FR, Berndt SI, Wang Z, Xu J, Rohland N, Reich D, Tandon A, Pasaniuc B, Allen A, Quinque D, Mallick S, Notani D, Rosenfeld MG, Jayani RS, Kolb S, Gapstur SM, Stevens VL, Pettaway CA, Yeboah ED, Tettey Y, Biritwum RB, Adjei AA, Tay E, Truelove A, Niwa S, Chokkalingam AP, John EM, Murphy AB, Signorello LB, Carpten J, Leske MC, Wu SY, Hennis AJM, Neslund-Dudas C, Hsing AW, Chu L, Goodman PJ, Klein EA, Zheng SL, Witte JS, Casey G, Lubwama A, Pooler LC, Sheng X, Coetzee GA, Cook MB, Chanock SJ, Stram DO, Watya S, Blot WJ, Conti DV, Henderson BE, Haiman CA. Prostate Cancer Susceptibility in Men of African Ancestry at 8q24.. Journal of the National Cancer Institute, 2016.
134. Rand KA, Rohland N, Tandon A, Stram A, Sheng X, Do R, Pasaniuc B, Allen A, Quinque D, Mallick S, Le Marchand L, Kaggwa S, Lubwama A, African Ancestry Prostate Cancer GWAS Consortium, ELLIPSE/GAME-ON Consortium, Stram DO, Watya S, Henderson BE, Conti DV, Reich D, Haiman CA. Whole-exome sequencing of over 4100 men of African ancestry and prostate cancer risk.. Human molecular genetics, 2015.
135. Mancuso N, Rohland N, Rand KA, Tandon A, Allen A, Quinque D, Mallick S, Li H, Stram A, Sheng X, Kote-Jarai Z, Easton DF, Eeles RA, PRACTICAL consortium, Le Marchand L, Lubwama A, Stram D, Watya S, Conti DV, Henderson B, Haiman CA, Pasaniuc B, Reich D. The contribution of rare variation to prostate cancer heritability.. Nature genetics, 2015.
136. Aschard H, Gusev A, Brown R, Pasaniuc B. Leveraging local ancestry to detect gene-gene interactions in genome-wide data.. BMC genetics, 2015.
137. Vilhjálmsson BJ, Yang J, Finucane HK, Gusev A, Lindström S, Ripke S, Genovese G, Loh PR, Bhatia G, Do R, Hayeck T, Won HH, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Discovery, Biology, and Risk of , Kathiresan S, Pato M, Pato C, Tamimi R, Stahl E, Zaitlen N, Pasaniuc B, Belbin G, Kenny EE, Schierup MH, De Jager P, Patsopoulos NA, McCarroll S, Daly M, Purcell S, Chasman D, Neale B, Goddard M, Visscher PM, Kraft P, Patterson N, Price AL. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores.. American journal of human genetics, 2015.
138. Kichaev G, Pasaniuc B. Leveraging Functional-Annotation Data in Trans-ethnic Fine-Mapping Studies.. American journal of human genetics, 2015.
139. Shi H, Pasaniuc B, Lange KL. A multivariate Bernoulli model to predict DNaseI hypersensitivity status from haplotype data.. Bioinformatics (Oxford, England), 2015.
140. Hormozdiari F, Kichaev G, Yang WY, Pasaniuc B, Eskin E. Identification of causal genes for complex traits.. Bioinformatics (Oxford, England), 2015.
141. Brown R, Lee H, Eskin A, Kichaev G, Lohmueller KE, Reversade B, Nelson SF, Pasaniuc B. Leveraging ancestry to improve causal variant identification in exome sequencing for monogenic disorders.. European journal of human genetics : EJHG, 2015.
142. Yang WY, Hormozdiari F, Eskin E, Pasaniuc B. A spatial haplotype copying model with applications to genotype imputation.. Journal of computational biology : a journal of computational molecular cell biology, 2014.
143. Zaitlen N, Pasaniuc B, Sankararaman S, Bhatia G, Zhang J, Gusev A, Young T, Tandon A, Pollack S, Vilhjálmsson BJ, Assimes TL, Berndt SI, Blot WJ, Chanock S, Franceschini N, Goodman PG, He J, Hennis AJ, Hsing A, Ingles SA, Isaacs W, Kittles RA, Klein EA, Lange LA, Nemesure B, Patterson N, Reich D, Rybicki BA, Stanford JL, Stevens VL, Strom SS, Whitsel EA, Witte JS, Xu J, Haiman C, Wilson JG, Kooperberg C, Stram D, Reiner AP, Tang H, Price AL. Leveraging population admixture to characterize the heritability of complex traits.. Nature genetics, 2014.
144. Gusev A, Lee SH, Trynka G, Finucane H, Vilhjálmsson BJ, Xu H, Zang C, Ripke S, Bulik-Sullivan B, Stahl E, Schizophrenia Working Group of the Psychiatric Genomics Consortium, SWE-SCZ Consortium, Kähler AK, Hultman CM, Purcell SM, McCarroll SA, Daly M, Pasaniuc B, Sullivan PF, Neale BM, Wray NR, Raychaudhuri S, Price AL, Schizophrenia Working Group of the Psychiatric Genomics Consortium, SWE-SCZ Consortium. Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases.. American journal of human genetics, 2014.
145. Yang WY, Platt A, Chiang CW, Eskin E, Novembre J, Pasaniuc B. Spatial localization of recent ancestors for admixed individuals.. G3 (Bethesda, Md.), 2014.
146. Kichaev G, Yang WY, Lindstrom S, Hormozdiari F, Eskin E, Price AL, Kraft P, Pasaniuc B. Integrating functional data to prioritize causal variants in statistical fine-mapping studies.. PLoS genetics, 2014.
147. Hormozdiari F, Kostem E, Kang EY, Pasaniuc B, Eskin E. Identifying causal variants at loci with multiple signals of association.. Genetics, 2014.
148. Pasaniuc B, Zaitlen N, Shi H, Bhatia G, Gusev A, Pickrell J, Hirschhorn J, Strachan DP, Patterson N, Price AL. Fast and accurate imputation of summary statistics enhances evidence of functional enrichment.. Bioinformatics (Oxford, England), 2014.
149. Ko A, Cantor RM, Weissglas-Volkov D, Nikkola E, Reddy PM, Sinsheimer JS, Pasaniuc B, Brown R, Alvarez M, Rodriguez A, Rodriguez-Guillen R, Bautista IC, Arellano-Campos O, Muñoz-Hernández LL, Salomaa V, Kaprio J, Jula A, Jauhiainen M, Heliövaara M, Raitakari O, Lehtimäki T, Eriksson JG, Perola M, Lohmueller KE, Matikainen N, Taskinen MR, Rodriguez-Torres M, Riba L, Tusie-Luna T, Aguilar-Salinas CA, Pajukanta P. Amerindian-specific regions under positive selection harbour new lipid variants in Latinos.. Nature communications, 2014.
150. Brown R, Pasaniuc B. Enhanced methods for local ancestry assignment in sequenced admixed individuals.. PLoS computational biology, 2014.
151. Kaser A, Pasaniuc B. IBD genetics: focus on (dys) regulation in immune cells and the epithelium.. Gastroenterology, 2014.
152. Gusev A, Bhatia G, Zaitlen N, Vilhjalmsson BJ, Diogo D, Stahl EA, Gregersen PK, Worthington J, Klareskog L, Raychaudhuri S, Plenge RM, Pasaniuc B, Price AL. Quantifying missing heritability at known GWAS loci.. PLoS genetics, 2013.
153. Yang WY, Hormozdiari F, Wang Z, He D, Pasaniuc B, Eskin E. Leveraging reads that span multiple single nucleotide polymorphisms for haplotype inference from sequencing data.. Bioinformatics (Oxford, England), 2013.
154. Baran Y, Quintela I, Carracedo A, Pasaniuc B, Halperin E. Enhanced localization of genetic samples through linkage-disequilibrium correction.. American journal of human genetics, 2013.
155. Zaitlen N, Kraft P, Patterson N, Pasaniuc B, Bhatia G, Pollack S, Price AL. Using extended genealogy to estimate components of heritability for 23 quantitative and dichotomous traits.. PLoS genetics, 2013.
156. Pasaniuc B, Sankararaman S, Torgerson DG, Gignoux C, Zaitlen N, Eng C, Rodriguez-Cintron W, Chapela R, Ford JG, Avila PC, Rodriguez-Santana J, Chen GK, Le Marchand L, Henderson B, Reich D, Haiman CA, Gonzàlez Burchard E, Halperin E. Analysis of Latino populations from GALA and MEC studies reveals genomic loci with biased local ancestry estimation.. Bioinformatics (Oxford, England), 2013.
157. Genovese G, Handsaker RE, Li H, Altemose N, Lindgren AM, Chambert K, Pasaniuc B, Price AL, Reich D, Morton CC, Pollak MR, Wilson JG, McCarroll SA. Using population admixture to help complete maps of the human genome.. Nature genetics, 2013.
158. Zaitlen N, Lindström S, Pasaniuc B, Cornelis M, Genovese G, Pollack S, Barton A, Bickeböller H, Bowden DW, Eyre S, Freedman BI, Friedman DJ, Field JK, Groop L, Haugen A, Heinrich J, Henderson BE, Hicks PJ, Hocking LJ, Kolonel LN, Landi MT, Langefeld CD, Le Marchand L, Meister M, Morgan AW, Raji OY, Risch A, Rosenberger A, Scherf D, Steer S, Walshaw M, Waters KM, Wilson AG, Wordsworth P, Zienolddiny S, Tchetgen ET, Haiman C, Hunter DJ, Plenge RM, Worthington J, Christiani DC, Schaumberg DA, Chasman DI, Altshuler D, Voight B, Kraft P, Patterson N, Price AL. Informed conditioning on clinical covariates increases power in case-control association studies.. PLoS genetics, 2012.
159. Pasaniuc B, Rohland N, McLaren PJ, Garimella K, Zaitlen N, Li H, Gupta N, Neale BM, Daly MJ, Sklar P, Sullivan PF, Bergen S, Moran JL, Hultman CM, Lichtenstein P, Magnusson P, Purcell SM, Haas DW, Liang L, Sunyaev S, Patterson N, de Bakker PI, Reich D, Price AL. Extremely low-coverage sequencing and imputation increases power for genome-wide association studies.. Nature genetics, 2012.
160. Zaitlen N, Pasaniuc B, Patterson N, Pollack S, Voight B, Groop L, Altshuler D, Henderson BE, Kolonel LN, Le Marchand L, Waters K, Haiman CA, Stranger BE, Dermitzakis ET, Kraft P, Price AL. Analysis of case-control association studies with known risk variants.. Bioinformatics (Oxford, England), 2012.
161. Baran Y, Pasaniuc B, Sankararaman S, Torgerson DG, Gignoux C, Eng C, Rodriguez-Cintron W, Chapela R, Ford JG, Avila PC, Rodriguez-Santana J, Burchard EG, Halperin E. Fast and accurate inference of local ancestry in Latino populations.. Bioinformatics (Oxford, England), 2012.
162. Fejerman L, Chen GK, Eng C, Huntsman S, Hu D, Williams A, Pasaniuc B, John EM, Via M, Gignoux C, Ingles S, Monroe KR, Kolonel LN, Torres-Mejía G, Pérez-Stable EJ, Burchard EG, Henderson BE, Haiman CA, Ziv E. Admixture mapping identifies a locus on 6q25 associated with breast cancer risk in US Latinas.. Human molecular genetics, 2012.
163. Aschard H, Qiu W, Pasaniuc B, Zaitlen N, Cho MH, Carey V. Combining effects from rare and common genetic variants in an exome-wide association study of sequence data.. BMC proceedings, 2011.
164. Bhatia G, Patterson N, Pasaniuc B, Zaitlen N, Genovese G, Pollack S, Mallick S, Myers S, Tandon A, Spencer C, Palmer CD, Adeyemo AA, Akylbekova EL, Cupples LA, Divers J, Fornage M, Kao WH, Lange L, Li M, Musani S, Mychaleckyj JC, Ogunniyi A, Papanicolaou G, Rotimi CN, Rotter JI, Ruczinski I, Salako B, Siscovick DS, Tayo BO, Yang Q, McCarroll S, Sabeti P, Lettre G, De Jager P, Hirschhorn J, Zhu X, Cooper R, Reich D, Wilson JG, Price AL. Genome-wide comparison of African-ancestry populations from CARe and other cohorts reveals signals of natural selection.. American journal of human genetics, 2011.
165. Wang J, Geesman GJ, Hostikka SL, Atallah M, Blackwell B, Lee E, Cook PJ, Pasaniuc B, Shariat G, Halperin E, Dobke M, Rosenfeld MG, Jordan IK, Lunyak VV. Inhibition of activated pericentromeric SINE/Alu repeat transcription in senescent human adult stem cells reinstates self-renewal.. Cell cycle (Georgetown, Tex.), 2011.
166. He D, Zaitlen N, Pasaniuc B, Eskin E, Halperin E. Genotyping common and rare variation using overlapping pool sequencing.. BMC bioinformatics, 2011.
167. Seldin MF, Pasaniuc B, Price AL. New approaches to disease mapping in admixed populations.. Nature reviews. Genetics, 2011.
168. Pasaniuc B, Zaitlen N, Lettre G, Chen GK, Tandon A, Kao WH, Ruczinski I, Fornage M, Siscovick DS, Zhu X, Larkin E, Lange LA, Cupples LA, Yang Q, Akylbekova EL, Musani SK, Divers J, Mychaleckyj J, Li M, Papanicolaou GJ, Millikan RC, Ambrosone CB, John EM, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Nyante SJ, Bandera EV, Ingles SA, Press MF, Chanock SJ, Deming SL, Rodriguez-Gil JL, Palmer CD, Buxbaum S, Ekunwe L, Hirschhorn JN, Henderson BE, Myers S, Haiman CA, Reich D, Patterson N, Wilson JG, Price AL. Enhanced statistical tests for GWAS in admixed populations: assessment using African Americans from CARe and a Breast Cancer Consortium.. PLoS genetics, 2011.
169. Pasaniuc B, Zaitlen N, Halperin E. Accurate estimation of expression levels of homologous genes in RNA-seq experiments.. Journal of computational biology : a journal of computational molecular cell biology, 2011.
170. Pasaniuc B, Avinery R, Gur T, Skibola CF, Bracci PM, Halperin E. A generic coalescent-based framework for the selection of a reference panel for imputation.. Genetic epidemiology, 2010.
171. Zaitlen N, Pasaniuc B, Gur T, Ziv E, Halperin E. Leveraging genetic variability across populations for the identification of causal variants.. American journal of human genetics, 2010.
172. Pasaniuc B, Sankararaman S, Kimmel G, Halperin E. Inference of locus-specific ancestry in closely related populations.. Bioinformatics (Oxford, England), 2009.
173. Kennedy J, Mandoiu I, Pasaniuc B. Genotype error detection using Hidden Markov Models of haplotype diversity.. Journal of computational biology : a journal of computational molecular cell biology, 2008.
174. Gusev A, Mandoiu II, Pasaniuc B. Highly scalable genotype phasing by entropy minimization.. IEEE/ACM transactions on computational biology and bioinformatics, 2008.
175. Pasaniuc B, Mandoiu I. Highly scalable genotype phasing by entropy minimization.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2006.