CollapsABEL: an R library for detecting compound heterozygote alleles in genome-wide association studies

The MC1R Gene and Youthful Looks

(2016) Fan Liu et al.   CURRENT BIOLOGY

The Rotterdam Study: 2016 objectives and design update

(2015) Albert Hofman et al.   EUROPEAN JOURNAL OF EPIDEMIOLOGY

Testing the Effect of Rare Compound-Heterozygous and Recessive Mutations in Case-Parent Sequencing Studies

(2015) Yu Jiang et al.   GENETIC EPIDEMIOLOGY

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

(2015) Christopher C Chang et al.   GigaScience

Testing for Modes of Inheritance Involving Compound Heterozygotes

(2013) Silviu-Alin Bacanu   GENETIC EPIDEMIOLOGY

iLOCi: a SNP interaction prioritization technique for detecting epistasis in genome-wide association studies

(2012) Jittima Piriyapongsa et al.   BMC GENOMICS

BiForce Toolbox: powerful high-throughput computational analysis of gene-gene interactions in genome-wide association studies

(2012) A. Gyenesei et al.   NUCLEIC ACIDS RESEARCH

Model-based prediction of human hair color using DNA variants

(2011) Wojciech Branicki et al.   HUMAN GENETICS

ggplot2: Elegant Graphics for Data Analysis

(2011) Cedric Ginestet   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Detecting Low Frequent Loss-of-Function Alleles in Genome Wide Association Studies with Red Hair Color as Example

(2011) Fan Liu et al.   PLoS One

BOOST: A Fast Approach to Detecting Gene-Gene Interactions in Genome-wide Case-Control Studies

(2010) Xiang Wan et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Predictive rule inference for epistatic interaction detection in genome-wide association studies

(2009) Xiang Wan et al.   BIOINFORMATICS

Finding the missing heritability of complex diseases

(2009) Teri A. Manolio et al.   NATURE

Common Genetic Variation and Human Traits

(2009) David B. Goldstein   NEW ENGLAND JOURNAL OF MEDICINE

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies

(2008) Can Yang et al.   BIOINFORMATICS