mTADA is a framework for identifying risk genes from de novo mutations in multiple traits

Autor: Tan-Hoang Nguyen, Amanda Dobbyn, Ruth C. Brown, Brien P. Riley, Joseph D. Buxbaum, Dalila Pinto, Shaun M. Purcell, Patrick F. Sullivan, Xin He, Eli A. Stahl
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-020-16487-z
Popis: Joint analysis of multiple traits can increase power and provide insights into shared genetic architecture. Here, Nguyen et al. develop multi-trait TADA (mTADA), an extension of TADA (transmission and de novo association test) that jointly analyses de novo mutations of traits for improved risk-gene identification power.
Databáze: Directory of Open Access Journals