The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case study. - Logan Dumitrescu; Robert J. Goodloe; Yukiko Bradford; Eric Farber-Eger; Jonathan Boston; Dana C. Crawford (BioData Min., 2015)

Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. - Dokyoon Kim; Anastasia Lucas; Joseph Glessner; Shefali S. Verma; Yukiko Bradford; Ruowang Li; Alex T. Frase; Hakon Hakonarson; Peggy L. Peissig; Murray H. Brilliant; Marylyn D. Ritchie (PSB, 2016)

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. - Ruowang Li; Scott M. Dudek; Dokyoon Kim; Molly A. Hall; Yukiko Bradford; Peggy L. Peissig; Murray H. Brilliant; James G. Linneman; Catherine A. McCarty; Le Bao; Marylyn D. Ritchie (BioData Min., 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)

A simulation study investigating power estimates in phenome-wide association studies. - Anurag Verma; Yukiko Bradford; Scott M. Dudek; Anastasia Lucas; Shefali S. Verma; Sarah A. Pendergrass; Marylyn D. Ritchie (BMC Bioinform., 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)