Author
University of California, Los AngelesORCID 0009-0008-9581-3827Unclaimed ORCID profile · follow to get notified of new preprints
7 papers
Recent·Most cited
Moonseong Jeong, Zhengtong Liu, Jiayi Ni…·Sriram Sankararaman
SUMMIT improves heritability and genetic correlation estimation across diverse ancestries using LD scores and GWAS summary statistics, showing better accuracy in non-European populations.
Zhengtong Liu, Aakarsh Anand, Xinyue Qie…·Sriram Sankararaman
This paper introduces REGENA, a method to disentangle gene-environment interaction mechanisms, finding that half of significant GxE signals are scale-dependent and effect heterogeneity drives most remaining GxE heritability.
Z LIU, Arush Ramteke, Aakarsh Anand…·Sriram Sankararaman
The paper introduces ENGINE, a method to infer gene-environment interactions from large-scale biobank data, finding that combining multiple exposures increases detected GxE variance.
Yash Patel, Chenghao Zhu, Takafumi N. Yamaguchi…·Paul Christopher Boutros
Metapipeline-DNA automates comprehensive analysis of DNA sequencing data from raw reads to visualization, supporting germline and somatic genomic features.
Zhengtong Liu, Boyang Fu, Moonseong Jeong…·Sriram Sankararaman
This paper introduces FLEX, a method for estimating gene-level heritability from whole-exome sequencing data, showing rare coding variants contribute significantly to complex trait heritability.
Boyang Fu, Prateek Anand, Aakarsh Anand…·Sriram Sankararaman
The paper introduces QuadKAST, a scalable algorithm for detecting epistasis in complex traits, and identifies 32 trait-gene pairs with significant quadratic effects in UK Biobank data.
Boyang Fu, Ali Pazokitoroudi, Albert Xue…·Sriram Sankararaman
The paper tests for polygenic epistasis in biobank-scale data and finds 16 trait-loci pairs with strong evidence of interaction effects.