Network assisted analysis of de novo variants using protein-protein interaction information identified 46 candidate genes for congenital heart disease

Authors

Yuhan Xie, Yale University
Wei Jiang, Yale University
Weilai Dong, Yale University
Hongyu Li, Yale University
Sheng Chih Jin, Washington University School of Medicine in St. Louis
Martina Brueckner, Yale University
Hongyu Zhao, Yale University

Journal

PLoS Genetics

Publication Date

6-1-2022

Volume

18

Issue

6

First Page

e1010252

Document Type

Open Access Publication

DOI

10.1371/journal.pgen.1010252

Rights and Permissions

Xie Y, Jiang W, Dong W, Li H, Jin SC, et al. (2022) Network assisted analysis of de novo variants using protein-protein interaction information identified 46 candidate genes for congenital heart disease. PLOS Genetics 18(6): e1010252. https://doi.org/10.1371/journal.pgen.1010252. © 2022 Xie et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Recommended Citation

Xie, Yuhan; Jiang, Wei; Dong, Weilai; Li, Hongyu; Jin, Sheng Chih; Brueckner, Martina; and Zhao, Hongyu, "Network assisted analysis of de novo variants using protein-protein interaction information identified 46 candidate genes for congenital heart disease." PLoS Genetics. 18, 6. e1010252 (2022).
https://digitalcommons.wustl.edu/oa_4/63