Sriram Sankararaman
Affiliations: | 2010 | Computer Science | University of California, Berkeley, Berkeley, CA, United States |
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"Sriram Sankararaman"Mean distance: 14.44 (cluster 29) | S | N | B | C | P |
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Sign in to add mentorMichael I. Jordan | grad student | 2010 | UC Berkeley | |
(Statistical models for analyzing human genetic variation.) |
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Publications
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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 |
Hou K, Ding Y, Xu Z, et al. (2023) Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals. Nature Genetics |
Zhang X, Kim B, Singh A, et al. (2023) MaLAdapt reveals novel targets of adaptive introgression from Neanderthals and Denisovans in worldwide human populations. Molecular Biology and Evolution |
Zou J, Zhou J, Faller S, et al. (2022) Accurate modeling of replication rates in genome-wide association studies by accounting for Winner's Curse and study-specific heterogeneity. G3 (Bethesda, Md.) |
Chiu AM, Molloy EK, Tan Z, et al. (2022) Inferring population structure in biobank-scale genomic data. American Journal of Human Genetics. 109: 727-737 |
Pazokitoroudi A, Wu Y, Burch KS, et al. (2020) Efficient variance components analysis across millions of genomes. Nature Communications. 11: 4020 |
Sankararaman S. (2020) Methods for detecting introgressed archaic sequences. Current Opinion in Genetics & Development. 62: 85-90 |
Agrawal A, Chiu AM, Le M, et al. (2020) Scalable probabilistic PCA for large-scale genetic variation data. Plos Genetics. 16: e1008773 |
Durvasula A, Sankararaman S. (2020) Recovering signals of ghost archaic introgression in African populations. Science Advances. 6: eaax5097 |