E-MAGMA: an eQTL-informed method to identify risk genes using genome-wide association study summary statistics
Author(s) -
Zachary F. Gerring,
Angela Mina-Vargas,
Eric R. Gamazon,
Eske M. Derks
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab115
Subject(s) - expression quantitative trait loci , genome wide association study , biology , genome , quantitative trait locus , genetic association , genetics , gene , computational biology , single nucleotide polymorphism , genotype
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