📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

sumSTAAR: A flexible framework for gene-based association studies using GWAS summary statistics (2022)

First Author: Belonogova N
Attributed to:  UK Biobank (core renewal) funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pcbi.1010172

PubMed Identifier: 35653402

Publication URI: http://europepmc.org/abstract/MED/35653402

Type: Journal Article/Review

Parent Publication: PLOS Computational Biology

Issue: 6

ISSN: 1553-734X