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Bioinformatics (Oxford, England)|November 6, 2018
ukbREST: efficient and streamlined data access for reproducible research in large biobanksMilton Pividori, Hae Kyung ImAmerican Journal of Human Genetics|January 21, 2026
A gene-specific variance-control approach corrects polygenicity-driven inflation observed in transcriptome-wide association studiesYanyu Liang, Festus Nyasimi, Hae Kyung ImBiorxiv : the Preprint Server for Biology|October 31, 2023
Pervasive polygenicity of complex traits inflates false positive rates in transcriptome-wide association studiesYanyu Liang, Festus Nyasimi, Hae Kyung ImNature Communications|August 23, 2020
CORE GREML for estimating covariance between random effects in linear mixed models for complex trait analysesXuan Zhou, Hae Kyung Im, S Hong LeeEcology|February 4, 2010
Accounting for animal movement in estimation of resource selection functions: sampling and data analysisJames D Forester, Hae Kyung Im, Paul J RathouzAmerican Journal of Human Genetics|April 3, 2012
On sharing quantitative trait GWAS results in an era of multiple-omics data and the limits of genomic privacyHae Kyung Im, Eric R Gamazon, Dan L Nicolae, et al.Nature Communications|March 4, 2021
A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and predictionYanyu Liang, François Aguet, Alvaro N Barbeira, et al.Genetic Epidemiology|November 5, 2013
Quantitative allelic test--a fast test for very large association studiesSang Mee Lee, Theodore G Karrison, Nancy J Cox, et al.The Lancet. Respiratory Medicine|May 1, 2019
Shared and distinct genetic risk factors for childhood-onset and adult-onset asthma: genome-wide and transcriptome-wide studiesMilton Pividori, Nathan Schoettler, Dan L Nicolae, et al.Pageof 11