Use of Biological Knowledge to Inform The Analysis of Gene-Gene Interactions Involved in Modulating Virologic Failure with Efavirenz-Containing Treatment Regimens in Art-Naive Actg Clinical Trials Participants. - Benjamin J. Grady; Eric Torstenson; Paul J. McLaren; Paul I. W. de Bakker; David W. Haas; Gregory K. Robbins; Roy M. Gulick; Richard Haubrich; Heather Ribaudo; Marylyn D. Ritchie (Pacific Symposium on Biocomputing, 2011)

Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG). - Shefali S. Verma; Alex T. Frase; Anurag Verma; Sarah A. Pendergrass; Shaun Mahony; David W. Haas; Marylyn D. Ritchie (PSB, 2016)

Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression. - Binglan Li; Shefali S. Verma; Yogasudha Veturi; Anurag Verma; Yuki Bradford; David W. Haas; Marylyn D. Ritchie (PSB, 2018)

Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies. - Binglan Li; Yogasudha Veturi; Yukiko Bradford; Shefali S. Verma; Anurag Verma; Anastasia M. Lucas; David W. Haas; Marylyn D. Ritchie (PSB, 2019)