Xinyuan Zhang

发表

Exome-by-phenome-wide rare variant gene burden association with electronic health record phenotypes

Jinbo Chen, D. Rader, M. Ritchie, 2019, bioRxiv.

Mendelian pathway analysis of laboratory traits reveals distinct roles for ciliary subcompartments in common disease pathogenesis

M. Ritchie, T. Drivas, A. Lucas, 2020, bioRxiv.

Genomics-First Evaluation of Heart Disease Associated With Titin-Truncating Variants.

Brandon K. Fornwalt, David L. Birtwell, Michael E. Hall, 2019, Circulation.

Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders

D. Schaid, J. Smoller, J. Denny, 2022, Nature Communications.

Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank

M. Ritchie, Ruowang Li, Xinyuan Zhang, 2020, AMIA.

Association of PTPN22 SNP1858 (rs2476601) and Gene SNP1123 (rs2488457) Polymorphism With Primary Immune Thrombocytopenia Susceptibility: A Meta-Analysis of Case-Control Studies and Trial Sequential Analysis

Xinyuan Zhang, Peng Huang, Lequan Wen, 2022, Frontiers in Genetics.

Collective feature selection to identify crucial epistatic variants

M. Ritchie, Ruowang Li, Dokyoon Kim, 2018, bioRxiv.

Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics

Jason W. Moore, Christopher R. Bauer, Sarah P. Pendergrass, 2021, Nature Communications.

Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics

Christopher R. Bauer, T. Lumley, H. Hakonarson, 2021, Nature communications.

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

Xinyuan Zhang, Marylyn D. Ritchie, Chunhua Weng, 2018, PSB.

A Saturated Map of Common Genetic Variants Associated with Human Height from 5.4 Million Individuals of Diverse Ancestries

Aaron F. McDaid, Yan V. Sun, Cassandra N. Spracklen, 2022 .

Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico

M. Ritchie, S. Pendergrass, A. Basile, 2019, BMC Bioinformatics.

Exome-wide evaluation of rare coding variants using electronic health records identifies new gene–phenotype associations

Alexander Hanbo Li, Judy H. Cho, K. Kaestner, 2021, Nature Medicine.

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

Daniel R. Lavage, Dustin N. Hartzel, F. Dewey, 2018, Scientific Reports.

Exome-wide evaluation of rare coding variants using electronic health records identifies new gene–phenotype associations

K. Kaestner, Jinbo Chen, S. Lemaire, 2021, Nature Medicine.

A saturated map of common genetic variants associated with human height

Aaron F. McDaid, M. P. Concas, Cassandra N. Spracklen, 2022, Nature.

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

Yogasudha Veturi, Anurag Verma, Daniel R. Lavage, 2018, Scientific Reports.

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

W. Chung, H. Hakonarson, D. Schaid, 2018, PSB.

Collective feature selection to identify crucial epistatic variants

Xinyuan Zhang, Jason H. Moore, Ryan J. Urbanowicz, 2018, BioData Mining.