Computationally efficient whole-genome regression for quantitative and binary traits

Genetic Architecture of Gene Expression in European and African Americans: An eQTL Mapping Study in GENOA

(2020) Lulu Shang et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Scalable generalized linear mixed model for region-based association tests in large biobanks and cohorts

(2020) Wei Zhou et al.   NATURE GENETICS

Inferring Gene-by-Environment Interactions with a Bayesian Whole-Genome Regression Model

(2020) Matthew Kerin et al.   AMERICAN JOURNAL OF HUMAN GENETICS

A resource-efficient tool for mixed model association analysis of large-scale data

(2019) Longda Jiang et al.   NATURE GENETICS

Mixed-model association for biobank-scale datasets

(2018) Po-Ru Loh et al.   NATURE GENETICS

Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies

(2018) Wei Zhou et al.   NATURE GENETICS

gwasurvivr: an R package for genome-wide survival analysis

(2018) Abbas A Rizvi et al.   BIOINFORMATICS

Multi-SKAT: General framework to test for rare-variant association with multiple phenotypes

(2018) Diptavo Dutta et al.   GENETIC EPIDEMIOLOGY

The UK Biobank resource with deep phenotyping and genomic data

(2018) Clare Bycroft et al.   NATURE

Identifying loci affecting trait variability and detecting interactions in genome-wide association studies

(2018) Alexander I. Young et al.   NATURE GENETICS

Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes

(2016) Luke Jostins et al.   BIOINFORMATICS

A multiple-phenotype imputation method for genetic studies

(2016) Andrew Dahl et al.   NATURE GENETICS

Efficient Bayesian mixed-model analysis increases association power in large cohorts

(2015) Po-Ru Loh et al.   NATURE GENETICS

Second-generation PLINK: rising to the challenge of larger and richer datasets

(2015) Christopher C Chang et al.   GigaScience

Advantages and pitfalls in the application of mixed-model association methods

(2014) Jian Yang et al.   NATURE GENETICS

Optimal tests for rare variant effects in sequencing association studies

(2012) S. Lee et al.   BIOSTATISTICS

Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding

(2012) G. de los Campos et al.   GENETICS

Rapid variance components–based method for whole-genome association analysis

(2012) Gulnara R Svishcheva et al.   NATURE GENETICS

A mixed-model approach for genome-wide association studies of correlated traits in structured populations

(2012) Arthur Korte et al.   NATURE GENETICS

Genome-wide efficient mixed-model analysis for association studies

(2012) Xiang Zhou et al.   NATURE GENETICS

Improved linear mixed models for genome-wide association studies

(2012) Jennifer Listgarten et al.   NATURE METHODS

Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test

(2011) Michael C. Wu et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Robust relationship inference in genome-wide association studies

(2010) Ani Manichaikul et al.   BIOINFORMATICS

A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis

(2010) Benjamin A Logsdon et al.   BMC BIOINFORMATICS

Mixed linear model approach adapted for genome-wide association studies

(2010) Zhiwu Zhang et al.   NATURE GENETICS

Variance component model to account for sample structure in genome-wide association studies

(2010) Hyun Min Kang et al.   NATURE GENETICS

New approaches to population stratification in genome-wide association studies

(2010) Alkes L. Price et al.   NATURE REVIEWS GENETICS

A powerful approach to sub-phenotype analysis in population-based genetic association studies

(2009) Andrew P. Morris et al.   GENETIC EPIDEMIOLOGY

Accurate Discovery of Expression Quantitative Trait Loci Under Confounding From Spurious and Genuine Regulatory Hotspots

(2008) H. M. Kang et al.   GENETICS