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Noah Zaitlen, Ph.D.

Affiliations: 
2009 Bioinformatics University of California, San Diego, La Jolla, CA 
Area:
Bioinformatics Biology, Genetics, Computer Science
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"Noah Zaitlen"
Bio:

http://bioinformatics.ucsd.edu/alumni_bisb

Parents

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Eleazar Eskin grad student 2009 UCSD (Computer Science Tree)
 (Methods for the Analysis of Human Genetic Variation in the Search for the Genetic Basis of Human Disease.)
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Publications

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Shemirani R, Belbin GM, Cullina S, et al. (2025) SPC: a SPectral Component approach to address recent population structure in genomic analysis. Medrxiv : the Preprint Server For Health Sciences
Dybdahl Krebs M, Georgii Hellberg KL, Lundberg M, et al. (2024) Genetic liability estimated from large-scale family data improves genetic prediction, risk score profiling, and gene mapping for major depression. American Journal of Human Genetics
Pazokitoroudi A, Liu Z, Dahl A, et al. (2024) A scalable and robust variance components method reveals insights into the architecture of gene-environment interactions underlying complex traits. American Journal of Human Genetics
Pazokitoroudi A, Dahl A, Zaitlen N, et al. (2023) 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
An U, Pazokitoroudi A, Alvarez M, et al. (2023) Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries. Nature Genetics
Fu B, Pazokitoroudi A, Xue A, et al. (2023) A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic epistasis. Biorxiv : the Preprint Server For Biology
Kachuri L, Mak ACY, Hu D, et al. (2023) Gene expression in African Americans, Puerto Ricans and Mexican Americans reveals ancestry-specific patterns of genetic architecture. Nature Genetics
Johnson R, Ding Y, Venkateswaran V, et al. (2022) Author Correction: Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative. Genome Medicine. 14: 128
Taraszka K, Zaitlen N, Eskin E. (2022) Leveraging pleiotropy for joint analysis of genome-wide association studies with per trait interpretations. Plos Genetics. 18: e1010447
Thompson M, Gordon MG, Lu A, et al. (2022) Multi-context genetic modeling of transcriptional regulation resolves novel disease loci. Nature Communications. 13: 5704
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