Another Round of “Clue” to Uncover the Mystery of Complex Traits

od Verma, Shefali Setia, Ritchie, Marylyn D.
Wydane w Genes (Basel) (2018)

Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma

od Kim, Dokyoon, Li, Ruowang, Lucas, Anastasia, Verma, Shefali S, Dudek, Scott M, Ritchie, Marylyn D
Wydane w J Am Med Inform Assoc (2017)

What about the environment? Leveraging multi-omic datasets to characterize the environment’s role in human health

od Passero, Kristin, Setia-Verma, Shefali, McAllister, Kimberly, Manrai, Arjun, Patel, Chirag, Hall, Molly
Wydane w Pac Symp Biocomput (2021)

PHENOME-WIDE INTERACTION STUDY (PheWIS) IN AIDS CLINICAL TRIALS GROUP DATA (ACTG)

od Verma, Shefali S., Frase, Alex T., Verma, Anurag, Pendergrass, Sarah A., Mahony, Shaun, Haas, David W., Ritchie, Marylyn D.
Wydane w Pac Symp Biocomput (2016)

Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression()

od Li, Binglan, Verma, Shefali S., Veturi, Yogasudha C., Verma, Anurag, Bradford, Yuki, Haas, David W., Ritchie, Marylyn D.
Wydane w Pac Symp Biocomput (2018)

A simulation study investigating power estimates in phenome-wide association studies

od Verma, Anurag, Bradford, Yuki, Dudek, Scott, Lucas, Anastasia M., Verma, Shefali S., Pendergrass, Sarah A., Ritchie, Marylyn D.
Wydane w BMC Bioinformatics (2018)

Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies

od Li, Binglan, Veturi, Yogasudha, Bradford, Yuki, Verma, Shefali S., Verma, Anurag, Lucas, Anastasia M., Haas, David W., Ritchie, Marylyn D.
Wydane w Pac Symp Biocomput (2019)

Multiphenotype association study of patients randomized to initiate antiretroviral regimens in AIDS Clinical Trials Group protocol A5202

od Verma, Anurag, Bradford, Yuki, Verma, Shefali S., Pendergrass, Sarah A., Daar, Eric S., Venuto, Charles, Morse, Gene D., Ritchie, Marylyn D., Haas, David W.
Wydane w Pharmacogenet Genomics (2017)

BIOFILTER AS A FUNCTIONAL ANNOTATION PIPELINE FOR COMMON AND RARE COPY NUMBER BURDEN

od KIM, DOKYOON, LUCAS, ANASTASIA, GLESSNER, JOSEPH, VERMA, SHEFALI S., BRADFORD, YUKI, LI, RUOWANG, FRASE, ALEX T., HAKONARSON, HAKON, PEISSIG, PEGGY, BRILLIANT, MURRAY, RITCHIE, MARYLYN D.
Wydane w Pac Symp Biocomput (2016)

Polygenic risk of psychiatric disorders exhibits cross-trait associations in electronic health record data from European ancestry individuals

od Kember, Rachel L., Merikangas, Alison K., Verma, Shefali S., Verma, Anurag, Judy, Renae, Damrauer, Scott M., Ritchie, Marylyn D., Rader, Daniel J., Bućan, Maja
Wydane w Biol Psychiatry (2020)

Collective feature selection to identify crucial epistatic variants

od Verma, Shefali S., Lucas, Anastasia, Zhang, Xinyuan, Veturi, Yogasudha, Dudek, Scott, Li, Binglan, Li, Ruowang, Urbanowicz, Ryan, Moore, Jason H., Kim, Dokyoon, Ritchie, Marylyn D.
Wydane w BioData Min (2018)

PheWAS and Beyond: The Landscape of Associations with Medical Diagnoses and Clinical Measures across 38,662 Individuals from Geisinger

od Verma, Anurag, Lucas, Anastasia, Verma, Shefali S., Zhang, Yu, Josyula, Navya, Khan, Anqa, Hartzel, Dustin N., Lavage, Daniel R., Leader, Joseph, Ritchie, Marylyn D., Pendergrass, Sarah A.
Wydane w Am J Hum Genet (2018)

Phenome-wide Association Study Relating Pretreatment Laboratory Parameters With Human Genetic Variants in AIDS Clinical Trials Group Protocols

od Moore, Carrie B., Verma, Anurag, Pendergrass, Sarah, Verma, Shefali S., Johnson, Daniel H., Daar, Eric S., Gulick, Roy M., Haubrich, Richard, Robbins, Gregory K., Ritchie, Marylyn D., Haas, David W.
Wydane w Open Forum Infect Dis (2014)

Genetic risk models: Influence of model size on risk estimates and precision

od Shan, Ying, Tromp, Gerard, Kuivaniemi, Helena, Smelser, Diane T., Verma, Shefali S., Ritchie, Marylyn D., Elmore, James R., Carey, David J., Conley, Yvette P., Gorin, Michael B., Weeks, Daniel E.
Wydane w Genet Epidemiol (2017)

Rare variants in drug target genes contributing to complex diseases, phenome-wide

od Verma, Shefali Setia, Josyula, Navya, Verma, Anurag, Zhang, Xinyuan, Veturi, Yogasudha, Dewey, Frederick E., Hartzel, Dustin N., Lavage, Daniel R., Leader, Joe, Ritchie, Marylyn D., Pendergrass, Sarah A.
Wydane w Sci Rep (2018)

Author Correction: Rare variants in drug target genes contributing to complex diseases, phenome-wide

od Verma, Shefali Setia, Josyula, Navya, Verma, Anurag, Zhang, Xinyuan, Veturi, Yogasudha, Dewey, Frederick E., Hartzel, Dustin N., Lavage, Daniel R., Leader, Joe, Ritchie, Marylyn D., Pendergrass, Sarah A.
Wydane w Sci Rep (2018)

An exome-wide rare variant analysis of Korean men identifies three novel genes predisposing to prostate cancer

od Oh, Jong Jin, Shivakumar, Manu, Miller, Jason, Verma, Shefali, Lee, Hakmin, Hong, Sung Kyu, Lee, Sang Eun, Lee, Younghee, Lee, Soo Ji, Sung, Joohon, Kim, Dokyoon, Byun, Seok-Soo
Wydane w Sci Rep (2019)

Author Correction: An exome-wide rare variant analysis of Korean men identifies three novel genes predisposing to prostate cancer

od Oh, Jong Jin, Shivakumar, Manu, Miller, Jason, Verma, Shefali, Lee, Hakmin, Hong, Sung Kyu, Lee, Sang Eun, Lee, Younghee, Lee, Soo Ji, Sung, Joohon, Kim, Dokyoon, Byun, Seok-Soo
Wydane w Sci Rep (2020)

Genetics of height and risk of atrial fibrillation: A Mendelian randomization study

od Levin, Michael G., Judy, Renae, Gill, Dipender, Vujkovic, Marijana, Verma, Shefali S., Bradford, Yuki, Ritchie, Marylyn D., Hyman, Matthew C., Nazarian, Saman, Rader, Daniel J., Voight, Benjamin F., Damrauer, Scott M.
Wydane w PLoS Med (2020)

NEXT-GENERATION ANALYSIS OF CATARACTS: DETERMINING KNOWLEDGE DRIVEN GENE-GENE INTERACTIONS USING BIOFILTER, AND GENE-ENVIRONMENT INTERACTIONS USING THE PHENX TOOLKIT

od Pendergrass, Sarah A., Verma, Shefali S., Holzinger, Emily R., Moore, Carrie B., Wallace, John, Dudek, Scott M., Huggins, Wayne, Kitchner, Terrie, Waudby, Carol, Berg, Richard, McCarty, Catherine A., Ritchie, Marylyn D.
Wydane 2013