How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?

Por Veturi, Yogasudha, Ritchie, Marylyn D.
Publicado no Pac Symp Biocomput (2018)

Effectiveness of Shrinkage and Variable Selection Methods for the Prediction of Complex Human Traits using Data from Distantly Related Individuals

Por Berger, Swetlana, Pérez‐Rodríguez, Paulino, Veturi, Yogasudha, Simianer, Henner, de los Campos, Gustavo
Publicado no Ann Hum Genet (2015)

Incorporating Genetic Heterogeneity in Whole-Genome Regressions Using Interactions

Por de los Campos, Gustavo, Veturi, Yogasudha, Vazquez, Ana I., Lehermeier, Christina, Pérez-Rodríguez, Paulino
Publicado no J Agric Biol Environ Stat (2015)

Assessment of Whole-Genome Regression for Type II Diabetes

Por Vazquez, Ana I., Klimentidis, Yann C., Dhurandhar, Emily J., Veturi, Yogasudha C., Paérez-Rodríguez, Paulino
Publicado no PLoS One (2015)

Modeling Heterogeneity in the Genetic Architecture of Ethnically Diverse Groups Using Random Effect Interaction Models

Por Veturi, Yogasudha, de los Campos, Gustavo, Yi, Nengjun, Huang, Wen, Vazquez, Ana I., Kühnel, Brigitte
Publicado no Genetics (2019)

Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery

Por Cha, Elliot D. K., Veturi, Yogasudha, Agarwal, Chirag, Patel, Aalpen, Arbabshirani, Mohammad R., Pendergrass, Sarah A.
Publicado no J Obes (2018)

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 Database Developed with Information Extracted from Chemotherapy Drug Package Inserts to Enhance Future Prescriptions

Por D’Souza, Malcolm J., Alabed, Ghada J., Wheatley, Jordan M., Roberts, Natalia, Veturi, Yogasudha, Bi, Xia, Continisio, Christopher Hart
Publicado em 2011

Increased Proportion of Variance Explained and Prediction Accuracy of Survival of Breast Cancer Patients with Use of Whole-Genome Multiomic Profiles

Por Vazquez, Ana I., Veturi, Yogasudha, Behring, Michael, Shrestha, Sadeep, Kirst, Matias, Resende, Marcio F. R., de los Campos, Gustavo
Publicado no Genetics (2016)

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)

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)

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)

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43,870 individuals from the eMERGE network

Por Zhang, Xinyuan, Veturi, Yogasudha, Verma, Shefali, Bone, William, Verma, Anurag, Lucas, Anastasia, Hebbring, Scott, Denny, Joshua C., Stanaway, Ian B., Jarvik, Gail P., Crosslin, David, Larson, Eric B., Rasmussen-Torvik, Laura, Pendergrass, Sarah A., Smoller, Jordan W., Hakonarson, Hakon, Sleiman, Patrick, Weng, Chunhua, Fasel, David, Wei, Wei-Qi, Kullo, Iftikhar, Schaid, Daniel, Chung, Wendy K., Ritchie, Marylyn D.
Publicado no Pac Symp Biocomput (2019)