sumSTAAR: A flexible framework for gene-based association studies using GWAS summary statistics › Research Explorer

DOI

https://doi.org/10.1371/journal.pcbi.1010172
Final published version

Nadezhda M. Belonogova
Gulnara R. Svishcheva
Anatoly V. Kirichenko
Irina V. Zorkoltseva
Yakov A. Tsepilov
Tatiana I. Axenovich

Original language	English
Article number	e1010172
Journal	PLoS Computational Biology
Volume	18
Issue number	6
DOIs	https://doi.org/10.1371/journal.pcbi.1010172
Publication status	Published - Jun 2022

OECD FOS+WOS

3.01 BASIC MEDICAL RESEARCH
1.06 BIOLOGICAL SCIENCES

Research areas

Genetic Association Studies, Genome-Wide Association Study/methods, Phenotype, Polymorphism, Single Nucleotide/genetics, Quantitative Trait Loci

ID: 36561144