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

Por Verma, Shefali Setia, Ritchie, Marylyn D.
Publicado no Genes (Basel) (2018)

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

Por Kim, Dokyoon, Li, Ruowang, Lucas, Anastasia, Verma, Shefali S, Dudek, Scott M, Ritchie, Marylyn D
Publicado no J Am Med Inform Assoc (2017)

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

Por Verma, Shefali S., Frase, Alex T., Verma, Anurag, Pendergrass, Sarah A., Mahony, Shaun, Haas, David W., Ritchie, Marylyn D.
Publicado no Pac Symp Biocomput (2016)

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

Por Li, Binglan, Verma, Shefali S., Veturi, Yogasudha C., Verma, Anurag, Bradford, Yuki, Haas, David W., Ritchie, Marylyn D.
Publicado no Pac Symp Biocomput (2018)

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

Por Verma, Anurag, Bradford, Yuki, Dudek, Scott, Lucas, Anastasia M., Verma, Shefali S., Pendergrass, Sarah A., Ritchie, Marylyn D.
Publicado no BMC Bioinformatics (2018)

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

Por Li, Binglan, Veturi, Yogasudha, Bradford, Yuki, Verma, Shefali S., Verma, Anurag, Lucas, Anastasia M., Haas, David W., Ritchie, Marylyn D.
Publicado no Pac Symp Biocomput (2019)

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

Por Verma, Anurag, Bradford, Yuki, Verma, Shefali S., Pendergrass, Sarah A., Daar, Eric S., Venuto, Charles, Morse, Gene D., Ritchie, Marylyn D., Haas, David W.
Publicado no Pharmacogenet Genomics (2017)

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

Por 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.
Publicado no Pac Symp Biocomput (2016)

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

Por Kember, Rachel L., Merikangas, Alison K., Verma, Shefali S., Verma, Anurag, Judy, Renae, Damrauer, Scott M., Ritchie, Marylyn D., Rader, Daniel J., Bućan, Maja
Publicado no Biol Psychiatry (2020)

Collective feature selection to identify crucial epistatic variants

Por 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.
Publicado no BioData Min (2018)

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

Por 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.
Publicado no Am J Hum Genet (2018)

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

Por 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.
Publicado no Open Forum Infect Dis (2014)

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

Por 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.
Publicado no Genet Epidemiol (2017)

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

Por 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.
Publicado no Sci Rep (2018)

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

Por 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.
Publicado no Sci Rep (2018)

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

Por 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
Publicado no Sci Rep (2019)

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

Por 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
Publicado no Sci Rep (2020)

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

Por 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.
Publicado no PLoS Med (2020)

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

Por 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.
Publicado em 2013

Brain Neurotransmitter Transporter/Receptor Genomics and Efavirenz Central Nervous System Adverse Events

Por Haas, David W., Bradford, Yuki, Verma, Anurag, Verma, Shefali S., Eron, Joseph J., Gulick, Roy M., Riddler, Sharon, Sax, Paul E., Daar, Eric S., Morse, Gene D., Acosta, Edward P., Ritchie, Marylyn D.
Publicado no Pharmacogenet Genomics (2018)