Publications

1. Smith K, Deutsch AJ, McGrail C, Kim H, Hsu S, Huerta-Chagoya A, Mandla R, Schroeder PH, Westerman KE, Szczerbinski L, Majarian TD, Kaur V, Williamson A, Zaitlen N, Claussnitzer M, Florez JC, Manning AK, Mercader JM, Gaulton KJ, Udler MS. Multi-ancestry polygenic mechanisms of type 2 diabetes.. Nature medicine, 2024.
2. 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.
3. Taraszka K, Groha S, King D, Tell R, White K, Ziv E, Zaitlen N, Gusev A. A comprehensive analysis of clinical and polygenic germline influences on somatic mutational burden.. American journal of human genetics, 2024.
4. Pazokitoroudi A, Dahl A, Zaitlen N, Rosset S, Sankararaman S. A scalable and robust variance components method reveals insights into the architecture of gene-environment interactions underlying complex traits.. bioRxiv : the preprint server for biology, 2023.
5. Zhu WS, Litterman AJ, Sekhon HS, Kageyama R, Arce MM, Taylor KE, Zhao W, Criswell LA, Zaitlen N, Erle DJ, Ansel KM. GCLiPP: global crosslinking and protein purification method for constructing high-resolution occupancy maps for RNA binding proteins.. Genome biology, 2023.
6. LaBianca S, Brikell I, Helenius D, Loughnan R, Mefford J, Palmer CE, Walker R, Gådin JR, Krebs M, Appadurai V, Vaez M, Agerbo E, Pedersen MG, Børglum AD, Hougaard DM, Mors O, Nordentoft M, Mortensen PB, Kendler KS, Jernigan TL, Geschwind DH, Ingason A, Dahl AW, Zaitlen N, Dalsgaard S, Werge TM, Schork AJ. Polygenic profiles define aspects of clinical heterogeneity in attention deficit hyperactivity disorder.. Nature genetics, 2023.
7. Avram O, Durmus B, Rakocz N, Corradetti G, An U, Nitalla MG, Rudas A, Wakatsuki Y, Hirabayashi K, Velaga S, Tiosano L, Corvi F, Verma A, Karamat A, Lindenberg S, Oncel D, Almidani L, Hull V, Fasih-Ahmad S, Esmaeilkhanian H, Wykoff CC, Rahmani E, Arnold CW, Zhou B, Zaitlen N, Gronau I, Sankararaman S, Chiang JN, Sadda SR, Halperin E. SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data.. Research square, 2023.
8. An U, Pazokitoroudi A, Alvarez M, Huang L, Bacanu S, Schork AJ, Kendler K, Pajukanta P, Flint J, Zaitlen N, Cai N, Dahl A, Sankararaman S. Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries.. Nature genetics, 2023.
9. Oyageshio OP, Myrick JW, Saayman J, van der Westhuizen L, Al-Hindi D, Reynolds AW, Zaitlen N, Uren C, Möller M, Henn BM. Strong Effect of Demographic Changes on Tuberculosis Susceptibility in South Africa.. medRxiv : the preprint server for health sciences, 2023.
10. Wei A, Border R, Fu B, Cullina S, Brandes N, Sankararaman S, Kenny EE, Udler MS, Ntranos V, Zaitlen N, Arboleda VA. The genetic underpinnings of variable penetrance and expressivity of pathogenic mutations in cardiometabolic traits.. medRxiv : the preprint server for health sciences, 2023.
11. Fu B, Pazokitoroudi A, Xue A, Anand A, Anand P, Zaitlen N, Sankararaman S. A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic epistasis.. bioRxiv : the preprint server for biology, 2023.
12. 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.
13. 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.
14. 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.
15. Kachuri L, Mak ACY, Hu D, Eng C, Huntsman S, Elhawary JR, Gupta N, Gabriel S, Xiao S, Keys KL, Oni-Orisan A, Rodríguez-Santana JR, LeNoir MA, Borrell LN, Zaitlen NA, Williams LK, Gignoux CR, Burchard EG, Ziv E. Gene expression in African Americans, Puerto Ricans and Mexican Americans reveals ancestry-specific patterns of genetic architecture.. Nature genetics, 2023.
16. Ganesh D, Chiang JN, Corradetti G, Zaitlen N, Halperin E, Sadda SR. Effect of statins on the age of onset of age-related macular degeneration.. Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2023.
17. Perez-Garcia J, Herrera-Luis E, Li A, Mak ACY, Huntsman S, Oh SS, Elhawary JR, Eng C, Beckman KB, Hu D, Lorenzo-Diaz F, Lenoir MA, Rodriguez-Santana J, Zaitlen N, Villar J, Borrell LN, Burchard EG, Pino-Yanes M. Multi-omic approach associates blood methylome with bronchodilator drug response in pediatric asthma.. The Journal of allergy and clinical immunology, 2023.
18. Gorla A, Sankararaman S, Burchard E, Flint J, Zaitlen N, Rahmani E. Phenotypic subtyping via contrastive learning.. bioRxiv : the preprint server for biology, 2023.
19. Border R, Athanasiadis G, Buil A, Schork AJ, Cai N, Young AI, Werge T, Flint J, Kendler KS, Sankararaman S, Dahl AW, Zaitlen NA. Cross-trait assortative mating is widespread and inflates genetic correlation estimates.. Science (New York, N.Y.), 2022.
20. Johnson R, Ding Y, Venkateswaran V, Bhattacharya A, Boulier K, Chiu A, Knyazev S, Schwarz T, Freund M, Zhan L, Burch KS, Caggiano C, Hill B, Rakocz N, Balliu B, Denny CT, Sul JH, Zaitlen N, Arboleda VA, Halperin E, Sankararaman S, Butte MJ, UCLA Precision Health Data Discovery Repository Working Group, UCLA Precision Health ATLAS Working G, Lajonchere C, Geschwind DH, Pasaniuc B. Author Correction: Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative.. Genome medicine, 2022.
21. Taraszka K, Zaitlen N, Eskin E. Leveraging pleiotropy for joint analysis of genome-wide association studies with per trait interpretations.. PLoS genetics, 2022.
22. Sajuthi SP, Everman JL, Jackson ND, Saef B, Rios CL, Moore CM, Mak ACY, Eng C, Fairbanks-Mahnke A, Salazar S, Elhawary J, Huntsman S, Medina V, Nickerson DA, Germer S, Zody MC, Abecasis G, Kang HM, Rice KM, Kumar R, Zaitlen NA, Oh S, NHLBI Trans–Omics for Precision Medicine (TOPMed) Consortium, Rodríguez-Santana J, Burchard EG, Seibold MA. Author Correction: Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology.. Nature communications, 2022.
23. Nassar AH, Adib E, Abou Alaiwi S, El Zarif T, Groha S, Akl EW, Nuzzo PV, Mouhieddine TH, Perea-Chamblee T, Taraszka K, El-Khoury H, Labban M, Fong C, Arora KS, Labaki C, Xu W, Sonpavde G, Haddad RI, Mouw KW, Giannakis M, Hodi FS, Zaitlen N, Schoenfeld AJ, Schultz N, Berger MF, MacConaill LE, Ananda G, Kwiatkowski DJ, Choueiri TK, Schrag D, Carrot-Zhang J, Gusev A. Ancestry-driven recalibration of tumor mutational burden and disparate clinical outcomes in response to immune checkpoint inhibitors.. Cancer cell, 2022.
24. Thompson M, Gordon MG, Lu A, Tandon A, Halperin E, Gusev A, Ye CJ, Balliu B, Zaitlen N. Multi-context genetic modeling of transcriptional regulation resolves novel disease loci.. Nature communications, 2022.
25. Johnson R, Ding Y, Venkateswaran V, Bhattacharya A, Boulier K, Chiu A, Knyazev S, Schwarz T, Freund M, Zhan L, Burch KS, Caggiano C, Hill B, Rakocz N, Balliu B, Denny CT, Sul JH, Zaitlen N, Arboleda VA, Halperin E, Sankararaman S, Butte MJ, UCLA Precision Health Data Discovery Repository Working Group, UCLA Precision Health ATLAS Working G, Lajonchere C, Geschwind DH, Pasaniuc B. Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative.. Genome medicine, 2022.
26. Thompson M, Hill BL, Rakocz N, Chiang JN, Geschwind D, Sankararaman S, Hofer I, Cannesson M, Zaitlen N, Halperin E. Methylation risk scores are associated with a collection of phenotypes within electronic health record systems.. NPJ genomic medicine, 2022.
27. Perez RK, Gordon MG, Subramaniam M, Kim MC, Hartoularos GC, Targ S, Sun Y, Ogorodnikov A, Bueno R, Lu A, Thompson M, Rappoport N, Dahl A, Lanata CM, Matloubian M, Maliskova L, Kwek SS, Li T, Slyper M, Waldman J, Dionne D, Rozenblatt-Rosen O, Fong L, Dall'Era M, Balliu B, Regev A, Yazdany J, Criswell LA, Zaitlen N, Ye CJ. Single-cell RNA-seq reveals cell type-specific molecular and genetic associations to lupus.. Science (New York, N.Y.), 2022.
28. Sajuthi SP, Everman JL, Jackson ND, Saef B, Rios CL, Moore CM, Mak ACY, Eng C, Fairbanks-Mahnke A, Salazar S, Elhawary J, Huntsman S, Medina V, Nickerson DA, Germer S, Zody MC, Abecasis G, Kang HM, Rice KM, Kumar R, Zaitlen NA, Oh S, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Rodríguez-Santana J, Burchard EG, Seibold MA. Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology.. Nature communications, 2022.
29. Restuadi R, Steyn FJ, Kabashi E, Ngo ST, Cheng FF, Nabais MF, Thompson MJ, Qi T, Wu Y, Henders AK, Wallace L, Bye CR, Turner BJ, Ziser L, Mathers S, McCombe PA, Needham M, Schultz D, Kiernan MC, van Rheenen W, van den Berg LH, Veldink JH, Ophoff R, Gusev A, Zaitlen N, McRae AF, Henderson RD, Wray NR, Giacomotto J, Garton FC. Functional characterisation of the amyotrophic lateral sclerosis risk locus GPX3/TNIP1.. Genome medicine, 2022.
30. Siegel DA, Le Tonqueze O, Biton A, Zaitlen N, Erle DJ. Massively parallel analysis of human 3' UTRs reveals that AU-rich element length and registration predict mRNA destabilization.. G3 (Bethesda, Md.), 2022.
31. Gusev A, Groha S, Taraszka K, Semenov YR, Zaitlen N. Constructing germline research cohorts from the discarded reads of clinical tumor sequences.. Genome medicine, 2021.
32. Goodrich JK, Singer-Berk M, Son R, Sveden A, Wood J, England E, Cole JB, Weisburd B, Watts N, Caulkins L, Dornbos P, Koesterer R, Zappala Z, Zhang H, Maloney KA, Dahl A, Aguilar-Salinas CA, Atzmon G, Barajas-Olmos F, Barzilai N, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Bowden DW, Centeno-Cruz F, Chambers JC, Chami N, Chan E, Chan J, Cheng CY, Cho YS, Contreras-Cubas C, Córdova E, Correa A, DeFronzo RA, Duggirala R, Dupuis J, Garay-Sevilla ME, García-Ortiz H, Gieger C, Glaser B, González-Villalpando C, Gonzalez ME, Grarup N, Groop L, Gross M, Haiman C, Han S, Hanis CL, Hansen T, Heard-Costa NL, Henderson BE, Hernandez JMM, Hwang MY, Islas-Andrade S, Jørgensen ME, Kang HM, Kim BJ, Kim YJ, Koistinen HA, Kooner JS, Kuusisto J, Kwak SH, Laakso M, Lange L, Lee JY, Lee J, Lehman DM, Linneberg A, Liu J, Loos RJF, Lyssenko V, Ma RCW, Martínez-Hernández A, Meigs JB, Meitinger T, Mendoza-Caamal E, Mohlke KL, Morris AD, Morrison AC, Ng MCY, Nilsson PM, O'Donnell CJ, Orozco L, Palmer CNA, Park KS, Post WS, Pedersen O, Preuss M, Psaty BM, Reiner AP, Revilla-Monsalve C, Rich SS, Rotter JI, Saleheen D, Schurmann C, Sim X, Sladek R, Small KS, So WY, Spector TD, Strauch K, Strom TM, Tai ES, Tam CHT, Teo YY, Thameem F, Tomlinson B, Tracy RP, Tuomi T, Tuomilehto J, Tusié-Luna T, van Dam RM, Vasan RS, Wilson JG, Witte DR, Wong TY, AMP-T2D-GENES Consortia, Burtt NP, Zaitlen N, McCarthy MI, Boehnke M, Pollin TI, Flannick J, Mercader JM, O'Donnell-Luria A, Baxter S, Florez JC, MacArthur DG, Udler MS. Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes.. Nature communications, 2021.
33. Lin M, Park DS, Zaitlen NA, Henn BM, Gignoux CR. Admixed Populations Improve Power for Variant Discovery and Portability in Genome-Wide Association Studies.. Frontiers in genetics, 2021.
34. Caggiano C, Celona B, Garton F, Mefford J, Black BL, Henderson R, Lomen-Hoerth C, Dahl A, Zaitlen N. Comprehensive cell type decomposition of circulating cell-free DNA with CelFiE.. Nature communications, 2021.
35. Belbin GM, Cullina S, Wenric S, Soper ER, Glicksberg BS, Torre D, Moscati A, Wojcik GL, Shemirani R, Beckmann ND, Cohain A, Sorokin EP, Park DS, Ambite JL, Ellis S, Auton A, CBIPM Genomics Team, Regeneron Genetics Center, Bottinger EP, Cho JH, Loos RJF, Abul-Husn NS, Zaitlen NA, Gignoux CR, Kenny EE. Toward a fine-scale population health monitoring system.. Cell, 2021.
36. Sheppard B, Rappoport N, Loh PR, Sanders SJ, Zaitlen N, Dahl A. A model and test for coordinated polygenic epistasis in complex traits.. Proceedings of the National Academy of Sciences of the United States of America, 2021.
37. Stern AJ, Speidel L, Zaitlen NA, Nielsen R. Disentangling selection on genetically correlated polygenic traits via whole-genome genealogies.. American journal of human genetics, 2021.
38. Borrell LN, Elhawary JR, Fuentes-Afflick E, Witonsky J, Bhakta N, Wu AHB, Bibbins-Domingo K, Rodríguez-Santana JR, Lenoir MA, Gavin JR, Kittles RA, Zaitlen NA, Wilkes DS, Powe NR, Ziv E, Burchard EG. Race and Genetic Ancestry in Medicine - A Time for Reckoning with Racism.. The New England journal of medicine, 2021.
39. Kang HM, Subramaniam M, Targ S, Nguyen M, Maliskova L, McCarthy E, Wan E, Wong S, Byrnes L, Lanata CM, Gate RE, Mostafavi S, Marson A, Zaitlen N, Criswell LA, Ye CJ. Author Correction: Multiplexed droplet single-cell RNA-sequencing using natural genetic variation.. Nature biotechnology, 2020.
40. Rau CD, Gonzales NM, Bloom JS, Park D, Ayroles J, Palmer AA, Lusis AJ, Zaitlen N. Modeling epistasis in mice and yeast using the proportion of two or more distinct genetic backgrounds: Evidence for "polygenic epistasis".. PLoS genetics, 2020.
41. Mandric I, Rotman J, Yang HT, Strauli N, Montoya DJ, Van Der Wey W, Ronas JR, Statz B, Yao D, Petrova V, Zelikovsky A, Spreafico R, Shifman S, Zaitlen N, Rossetti M, Ansel KM, Eskin E, Mangul S. Author Correction: Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing.. Nature communications, 2020.
42. Dahl A, Zaitlen N. Genetic Influences on Disease Subtypes.. Annual review of genomics and human genetics, 2020.
43. Liu X, Mefford JA, Dahl A, He Y, Subramaniam M, Battle A, Price AL, Zaitlen N. GBAT: a gene-based association test for robust detection of trans-gene regulation.. Genome biology, 2020.
44. Keys KL, Mak ACY, White MJ, Eckalbar WL, Dahl AW, Mefford J, Mikhaylova AV, Contreras MG, Elhawary JR, Eng C, Hu D, Huntsman S, Oh SS, Salazar S, Lenoir MA, Ye JC, Thornton TA, Zaitlen N, Burchard EG, Gignoux CR. On the cross-population generalizability of gene expression prediction models.. PLoS genetics, 2020.
45. Mandric I, Rotman J, Yang HT, Strauli N, Montoya DJ, Van Der Wey W, Ronas JR, Statz B, Yao D, Petrova V, Zelikovsky A, Spreafico R, Shifman S, Zaitlen N, Rossetti M, Ansel KM, Eskin E, Mangul S. Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing.. Nature communications, 2020.
46. Werling DM, Pochareddy S, Choi J, An JY, Sheppard B, Peng M, Li Z, Dastmalchi C, Santpere G, Sousa AMM, Tebbenkamp ATN, Kaur N, Gulden FO, Breen MS, Liang L, Gilson MC, Zhao X, Dong S, Klei L, Cicek AE, Buxbaum JD, Adle-Biassette H, Thomas JL, Aldinger KA, O'Day DR, Glass IA, Zaitlen NA, Talkowski ME, Roeder K, State MW, Devlin B, Sanders SJ, Sestan N. Whole-Genome and RNA Sequencing Reveal Variation and Transcriptomic Coordination in the Developing Human Prefrontal Cortex.. Cell reports, 2020.
47. Mefford J, Park D, Zheng Z, Ko A, Ala-Korpela M, Laakso M, Pajukanta P, Yang J, Witte J, Zaitlen N. Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models.. Journal of computational biology : a journal of computational molecular cell biology, 2020.
48. Dahl A, Nguyen K, Cai N, Gandal MJ, Flint J, Zaitlen N. A Robust Method Uncovers Significant Context-Specific Heritability in Diverse Complex Traits.. American journal of human genetics, 2020.
49. Gallois A, Mefford J, Ko A, Vaysse A, Julienne H, Ala-Korpela M, Laakso M, Zaitlen N, Pajukanta P, Aschard H. A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context.. Nature communications, 2019.
50. Hernandez RD, Uricchio LH, Hartman K, Ye C, Dahl A, Zaitlen N. Ultrarare variants drive substantial cis heritability of human gene expression.. Nature genetics, 2019.
51. Dahl A, Cai N, Ko A, Laakso M, Pajukanta P, Flint J, Zaitlen N. Reverse GWAS: Using genetics to identify and model phenotypic subtypes.. PLoS genetics, 2019.
52. Aschard H, Laville V, Tchetgen ET, Knights D, Imhann F, Seksik P, Zaitlen N, Silverberg MS, Cosnes J, Weersma RK, Xavier R, Beaugerie L, Skurnik D, Sokol H. Genetic effects on the commensal microbiota in inflammatory bowel disease patients.. PLoS genetics, 2019.
53. Lea A, Subramaniam M, Ko A, Lehtimäki T, Raitoharju E, Kähönen M, Seppälä I, Mononen N, Raitakari OT, Ala-Korpela M, Pajukanta P, Zaitlen N, Ayroles JF. Genetic and environmental perturbations lead to regulatory decoherence.. eLife, 2019.
54. Boettcher M, Covarrubias S, Biton A, Blau J, Wang H, Zaitlen N, McManus MT. Tracing cellular heterogeneity in pooled genetic screens via multi-level barcoding.. BMC genomics, 2019.
55. Dahl A, Guillemot V, Mefford J, Aschard H, Zaitlen N. Adjusting for Principal Components of Molecular Phenotypes Induces Replicating False Positives.. Genetics, 2019.
56. Uricchio LH, Kitano HC, Gusev A, Zaitlen NA. An evolutionary compass for detecting signals of polygenic selection and mutational bias.. Evolution letters, 2019.
57. Galinsky KJ, Reshef YA, Finucane HK, Loh PR, Zaitlen N, Patterson NJ, Brown BC, Price AL. Estimating cross-population genetic correlations of causal effect sizes.. Genetic epidemiology, 2018.
58. Rappoport N, Paik H, Oskotsky B, Tor R, Ziv E, Zaitlen N, Butte AJ. Comparing Ethnicity-Specific Reference Intervals for Clinical Laboratory Tests from EHR Data.. The journal of applied laboratory medicine, 2018.
59. Mak ACY, White MJ, Eckalbar WL, Szpiech ZA, Oh SS, Pino-Yanes M, Hu D, Goddard P, Huntsman S, Galanter J, Wu AC, Himes BE, Germer S, Vogel JM, Bunting KL, Eng C, Salazar S, Keys KL, Liberto J, Nuckton TJ, Nguyen TA, Torgerson DG, Kwok PY, Levin AM, Celedón JC, Forno E, Hakonarson H, Sleiman PM, Dahlin A, Tantisira KG, Weiss ST, Serebrisky D, Brigino-Buenaventura E, Farber HJ, Meade K, Lenoir MA, Avila PC, Sen S, Thyne SM, Rodriguez-Cintron W, Winkler CA, Moreno-Estrada A, Sandoval K, Rodriguez-Santana JR, Kumar R, Williams LK, Ahituv N, Ziv E, Seibold MA, Darnell RB, Zaitlen N, Hernandez RD, Burchard EG, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium. Whole-Genome Sequencing of Pharmacogenetic Drug Response in Racially Diverse Children with Asthma.. American journal of respiratory and critical care medicine, 2018.
60. Kang EY, Lee CH, Furlotte NA, Joo JWJ, Kostem E, Zaitlen N, Eskin E, Han B. An Association Mapping Framework To Account for Potential Sex Difference in Genetic Architectures.. Genetics, 2018.
61. Peterson RE, Cai N, Dahl AW, Bigdeli TB, Edwards AC, Webb BT, Bacanu SA, Zaitlen N, Flint J, Kendler KS. Molecular Genetic Analysis Subdivided by Adversity Exposure Suggests Etiologic Heterogeneity in Major Depression.. The American journal of psychiatry, 2018.
62. Mangul S, Yang HT, Strauli N, Gruhl F, Porath HT, Hsieh K, Chen L, Daley T, Christenson S, Wesolowska-Andersen A, Spreafico R, Rios C, Eng C, Smith AD, Hernandez RD, Ophoff RA, Santana JR, Levanon EY, Woodruff PG, Burchard E, Seibold MA, Shifman S, Eskin E, Zaitlen N. ROP: dumpster diving in RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues.. Genome biology, 2018.
63. Boettcher M, Tian R, Blau JA, Markegard E, Wagner RT, Wu D, Mo X, Biton A, Zaitlen N, Fu H, McCormick F, Kampmann M, McManus MT. Dual gene activation and knockout screen reveals directional dependencies in genetic networks.. Nature biotechnology, 2018.
64. Kang HM, Subramaniam M, Targ S, Nguyen M, Maliskova L, McCarthy E, Wan E, Wong S, Byrnes L, Lanata CM, Gate RE, Mostafavi S, Marson A, Zaitlen N, Criswell LA, Ye CJ. Multiplexed droplet single-cell RNA-sequencing using natural genetic variation.. Nature biotechnology, 2017.
65. Park DS, Eskin I, Kang EY, Gamazon ER, Eng C, Gignoux CR, Galanter JM, Burchard E, Ye CJ, Aschard H, Eskin E, Halperin E, Zaitlen N. An ancestry-based approach for detecting interactions.. Genetic epidemiology, 2017.
66. Aschard H, Guillemot V, Vilhjalmsson B, Patel CJ, Skurnik D, Ye CJ, Wolpin B, Kraft P, Zaitlen N. Covariate selection for association screening in multiphenotype genetic studies.. Nature genetics, 2017.
67. Zhao W, Siegel D, Biton A, Tonqueze OL, Zaitlen N, Ahituv N, Erle DJ. CRISPR-Cas9-mediated functional dissection of 3'-UTRs.. Nucleic acids research, 2017.
68. Wagle M, Nguyen J, Lee S, Zaitlen N, Guo S. Heritable natural variation of an anxiety-like behavior in larval zebrafish.. Journal of neurogenetics, 2017.
69. Rahmani E, Yedidim R, Shenhav L, Schweiger R, Weissbrod O, Zaitlen N, Halperin E. GLINT: a user-friendly toolset for the analysis of high-throughput DNA-methylation array data.. Bioinformatics (Oxford, England), 2017.
70. Mitra I, Tsang K, Ladd-Acosta C, Croen LA, Aldinger KA, Hendren RL, Traglia M, Lavillaureix A, Zaitlen N, Oldham MC, Levitt P, Nelson S, Amaral DG, Hertz-Picciotto I, Fallin MD, Weiss LA. Correction: Pleiotropic Mechanisms Indicated for Sex Differences in Autism.. PLoS genetics, 2017.
71. Hoffman JD, Graff RE, Emami NC, Tai CG, Passarelli MN, Hu D, Huntsman S, Hadley D, Leong L, Majumdar A, Zaitlen N, Ziv E, Witte JS. Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk.. PLoS genetics, 2017.
72. Rahmani E, Zaitlen N, Baran Y, Eng C, Hu D, Galanter J, Oh S, Burchard EG, Eskin E, Zou J, Halperin E. Correcting for cell-type heterogeneity in DNA methylation: a comprehensive evaluation.. Nature methods, 2017.
73. Galanter JM, Gignoux CR, Oh SS, Torgerson D, Pino-Yanes M, Thakur N, Eng C, Hu D, Huntsman S, Farber HJ, Avila PC, Brigino-Buenaventura E, LeNoir MA, Meade K, Serebrisky D, Rodríguez-Cintrón W, Kumar R, Rodríguez-Santana JR, Seibold MA, Borrell LN, Burchard EG, Zaitlen N. Differential methylation between ethnic sub-groups reflects the effect of genetic ancestry and environmental exposures.. eLife, 2017.
74. Rahmani E, Shenhav L, Schweiger R, Yousefi P, Huen K, Eskenazi B, Eng C, Huntsman S, Hu D, Galanter J, Oh SS, Waldenberger M, Strauch K, Grallert H, Meitinger T, Gieger C, Holland N, Burchard EG, Zaitlen N, Halperin E. Genome-wide methylation data mirror ancestry information.. Epigenetics & chromatin, 2017.
75. Hayeck TJ, Loh PR, Pollack S, Gusev A, Patterson N, Zaitlen NA, Price AL. Mixed Model Association with Family-Biased Case-Control Ascertainment.. American journal of human genetics, 2016.
76. Traglia M, Bseiso D, Gusev A, Adviento B, Park DS, Mefford JA, Zaitlen N, Weiss LA. Genetic Mechanisms Leading to Sex Differences Across Common Diseases and Anthropometric Traits.. Genetics, 2016.
77. Zaitlen N, Huntsman S, Hu D, Spear M, Eng C, Oh SS, White MJ, Mak A, Davis A, Meade K, Brigino-Buenaventura E, LeNoir MA, Bibbins-Domingo K, Burchard EG, Halperin E. The Effects of Migration and Assortative Mating on Admixture Linkage Disequilibrium.. Genetics, 2016.
78. Mitra I, Tsang K, Ladd-Acosta C, Croen LA, Aldinger KA, Hendren RL, Traglia M, Lavillaureix A, Zaitlen N, Oldham MC, Levitt P, Nelson S, Amaral DG, Hertz-Picciotto I, Fallin MD, Weiss LA. Pleiotropic Mechanisms Indicated for Sex Differences in Autism.. PLoS genetics, 2016.
79. Joshi RS, Garg P, Zaitlen N, Lappalainen T, Watson CT, Azam N, Ho D, Li X, Antonarakis SE, Brunner HG, Buiting K, Cheung SW, Coffee B, Eggermann T, Francis D, Geraedts JP, Gimelli G, Jacobson SG, Le Caignec C, de Leeuw N, Liehr T, Mackay DJ, Montgomery SB, Pagnamenta AT, Papenhausen P, Robinson DO, Ruivenkamp C, Schwartz C, Steiner B, Stevenson DA, Surti U, Wassink T, Sharp AJ. DNA Methylation Profiling of Uniparental Disomy Subjects Provides a Map of Parental Epigenetic Bias in the Human Genome.. American journal of human genetics, 2016.
80. Brown BC, Asian Genetic Epidemiology Network Type 2 Diabetes Consortium, Ye CJ, Price AL, Zaitlen N. Transethnic Genetic-Correlation Estimates from Summary Statistics.. American journal of human genetics, 2016.
81. Uricchio LH, Zaitlen NA, Ye CJ, Witte JS, Hernandez RD. Selection and explosive growth alter genetic architecture and hamper the detection of causal rare variants.. Genome research, 2016.
82. Brown BC, Price AL, Patsopoulos NA, Zaitlen N. Local Joint Testing Improves Power and Identifies Hidden Heritability in Association Studies.. Genetics, 2016.
83. Rahmani E, Zaitlen N, Baran Y, Eng C, Hu D, Galanter J, Oh S, Burchard EG, Eskin E, Zou J, Halperin E. Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies.. Nature methods, 2016.
84. Biton A, Torgerson D, Letonqueze O, Zhao W, Zaitlen N, Erle DJ. Massively Parallel Identification of Regulatory Variants in Asthma.. Annals of the American Thoracic Society, 2016.
85. Balliu B, Zaitlen N. A Novel Test for Detecting SNP-SNP Interactions in Case-Only Trio Studies.. Genetics, 2016.
86. Zou JY, Park DS, Burchard EG, Torgerson DG, Pino-Yanes M, Song YS, Sankararaman S, Halperin E, Zaitlen N. Genetic and socioeconomic study of mate choice in Latinos reveals novel assortment patterns.. Proceedings of the National Academy of Sciences of the United States of America, 2015.
87. Caswell JL, Camarda R, Zhou AY, Huntsman S, Hu D, Brenner SE, Zaitlen N, Goga A, Ziv E. Multiple breast cancer risk variants are associated with differential transcript isoform expression in tumors.. Human molecular genetics, 2015.
88. 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.
89. Park DS, Brown B, Eng C, Huntsman S, Hu D, Torgerson DG, Burchard EG, Zaitlen N. Adapt-Mix: learning local genetic correlation structure improves summary statistics-based analyses.. Bioinformatics (Oxford, England), 2015.
90. Baran Y, Subramaniam M, Biton A, Tukiainen T, Tsang EK, Rivas MA, Pirinen M, Gutierrez-Arcelus M, Smith KS, Kukurba KR, Zhang R, Eng C, Torgerson DG, Urbanek C, GTEx Consortium, Li JB, Rodriguez-Santana JR, Burchard EG, Seibold MA, MacArthur DG, Montgomery SB, Zaitlen NA, Lappalainen T. The landscape of genomic imprinting across diverse adult human tissues.. Genome research, 2015.
91. Watkin LB, Jessen B, Wiszniewski W, Vece TJ, Jan M, Sha Y, Thamsen M, Santos-Cortez RL, Lee K, Gambin T, Forbes LR, Law CS, Stray-Pedersen A, Cheng MH, Mace EM, Anderson MS, Liu D, Tang LF, Nicholas SK, Nahmod K, Makedonas G, Canter DL, Kwok PY, Hicks J, Jones KD, Penney S, Jhangiani SN, Rosenblum MD, Dell SD, Waterfield MR, Papa FR, Muzny DM, Zaitlen N, Leal SM, Gonzaga-Jauregui C, Baylor-Hopkins Center for Mendelian Genomics, Boerwinkle E, Eissa NT, Gibbs RA, Lupski JR, Orange JS, Shum AK. COPA mutations impair ER-Golgi transport and cause hereditary autoimmune-mediated lung disease and arthritis.. Nature genetics, 2015.
92. Hayeck TJ, Zaitlen NA, Loh PR, Vilhjalmsson B, Pollack S, Gusev A, Yang J, Chen GB, Goddard ME, Visscher PM, Patterson N, Price AL. Mixed model with correction for case-control ascertainment increases association power.. American journal of human genetics, 2015.
93. Pirinen M, Lappalainen T, Zaitlen NA, GTEx Consortium, Dermitzakis ET, Donnelly P, McCarthy MI, Rivas MA. Assessing allele-specific expression across multiple tissues from RNA-seq read data.. Bioinformatics (Oxford, England), 2015.
94. Park DS, Baran Y, Hormozdiari F, Eng C, Torgerson DG, Burchard EG, Zaitlen N. PIGS: improved estimates of identity-by-descent probabilities by probabilistic IBD graph sampling.. BMC bioinformatics, 2015.
95. Aschard H, Zaitlen N, Lindström S, Kraft P. Variation in predictive ability of common genetic variants by established strata: the example of breast cancer and age.. Epidemiology (Cambridge, Mass.), 2015.
96. Cornelis MC, Zaitlen N, Hu FB, Kraft P, Price AL. Genetic and environmental components of family history in type 2 diabetes.. Human genetics, 2014.
97. 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.
98. Ye CJ, Feng T, Kwon HK, Raj T, Wilson MT, Asinovski N, McCabe C, Lee MH, Frohlich I, Paik HI, Zaitlen N, Hacohen N, Stranger B, De Jager P, Mathis D, Regev A, Benoist C. Intersection of population variation and autoimmunity genetics in human T cell activation.. Science (New York, N.Y.), 2014.
99. 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.
100. Zhao W, Pollack JL, Blagev DP, Zaitlen N, McManus MT, Erle DJ. Massively parallel functional annotation of 3' untranslated regions.. Nature biotechnology, 2014.
101. Yang J, Zaitlen NA, Goddard ME, Visscher PM, Price AL. Advantages and pitfalls in the application of mixed-model association methods.. Nature genetics, 2014.
102. 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.
103. Chimusa ER, Zaitlen N, Daya M, Möller M, van Helden PD, Mulder NJ, Price AL, Hoal EG. Genome-wide association study of ancestry-specific TB risk in the South African Coloured population.. Human molecular genetics, 2013.
104. 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.
105. 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.
106. Aschard H, Zaitlen N, Tamimi RM, Lindström S, Kraft P. A nonparametric test to detect quantitative trait loci where the phenotypic distribution differs by genotypes.. Genetic epidemiology, 2013.
107. Price AL, Zaitlen NA, Reich D, Patterson N. Response to Sul and Eskin.. Nature reviews. Genetics, 2013.
108. 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.
109. Zaitlen N, Kraft P. Heritability in the genome-wide association era.. Human genetics, 2012.
110. 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.
111. 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.
112. 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.
113. 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.
114. He D, Zaitlen N, Pasaniuc B, Eskin E, Halperin E. Genotyping common and rare variation using overlapping pool sequencing.. BMC bioinformatics, 2011.
115. 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.
116. 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.
117. Zaitlen N, Eskin E. Imputation aware meta-analysis of genome-wide association studies.. Genetic epidemiology, 2010.
118. Santana R, Mendiburu A, Zaitlen N, Eskin E, Lozano JA. Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms.. Artificial intelligence in medicine, 2010.
119. Price AL, Zaitlen NA, Reich D, Patterson N. New approaches to population stratification in genome-wide association studies.. Nature reviews. Genetics, 2010.
120. Kang HM, Sul JH, Service SK, Zaitlen NA, Kong SY, Freimer NB, Sabatti C, Eskin E. Variance component model to account for sample structure in genome-wide association studies.. Nature genetics, 2010.
121. Kang HM, Zaitlen NA, Eskin E. EMINIM: an adaptive and memory-efficient algorithm for genotype imputation.. Journal of computational biology : a journal of computational molecular cell biology, 2010.
122. 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.
123. Smith EN, Bloss CS, Badner JA, Barrett T, Belmonte PL, Berrettini W, Byerley W, Coryell W, Craig D, Edenberg HJ, Eskin E, Foroud T, Gershon E, Greenwood TA, Hipolito M, Koller DL, Lawson WB, Liu C, Lohoff F, McInnis MG, McMahon FJ, Mirel DB, Murray SS, Nievergelt C, Nurnberger J, Nwulia EA, Paschall J, Potash JB, Rice J, Schulze TG, Scheftner W, Panganiban C, Zaitlen N, Zandi PP, Zöllner S, Schork NJ, Kelsoe JR. Genome-wide association study of bipolar disorder in European American and African American individuals.. Molecular psychiatry, 2009.
124. Zaitlen N, Kang HM, Eskin E. Linkage effects and analysis of finite sample errors in the HapMap.. Human heredity, 2009.
125. Sabatti C, Service SK, Hartikainen AL, Pouta A, Ripatti S, Brodsky J, Jones CG, Zaitlen NA, Varilo T, Kaakinen M, Sovio U, Ruokonen A, Laitinen J, Jakkula E, Coin L, Hoggart C, Collins A, Turunen H, Gabriel S, Elliot P, McCarthy MI, Daly MJ, Järvelin MR, Freimer NB, Peltonen L. Genome-wide association analysis of metabolic traits in a birth cohort from a founder population.. Nature genetics, 2008.
126. Zaitlen N, Reyes-Gomez M, Heckerman D, Jojic N. Shift-invariant adaptive double threading: learning MHC II-peptide binding.. Journal of computational biology : a journal of computational molecular cell biology, 2008.
127. Han B, Kang HM, Seo MS, Zaitlen N, Eskin E. Efficient association study design via power-optimized tag SNP selection.. Annals of human genetics, 2008.
128. Kang HM, Zaitlen NA, Wade CM, Kirby A, Heckerman D, Daly MJ, Eskin E. Efficient control of population structure in model organism association mapping.. Genetics, 2008.
129. Zaitlen N, Kang HM, Eskin E, Halperin E. Leveraging the HapMap correlation structure in association studies.. American journal of human genetics, 2007.
130. Zaitlen NA, Kang HM, Feolo ML, Sherry ST, Halperin E, Eskin E. Inference and analysis of haplotypes from combined genotyping studies deposited in dbSNP.. Genome research, 2005.