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sumSTAAR: A flexible framework for gene-based association studies using GWAS summary statistics
Author(s) -
Nadezhda M. Belonogova,
G. R. Svishcheva,
A. V. Kirichenko,
Irina V. Zorkoltseva,
Yakov A. Tsepilov,
Tatiana I. Axenovich
Publication year - 2022
Publication title -
plos computational biology/plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1010172
Subject(s) - genome wide association study , polygene , genetic association , computational biology , computer science , 1000 genomes project , data mining , imputation (statistics) , single nucleotide polymorphism , biology , genetics , gene , quantitative trait locus , machine learning , genotype , missing data

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