<tt>ReverseGWAS</tt> identifies combined phenotypes associated with a genotype in GWA studies

The source code of ReverseGWAS is freely available to non-commercial users as an installable R package at https://github.com/Leonardini/rgwas.

Authors

Institutions

Publication Details

Journal
Bioinformatics
Published
2026-02-13
DOI
https://doi.org/10.1093/bioinformatics/btag079
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

<tt>ReverseGWAS</tt> identifies combined phenotypes associated with a genotype in GWA studies

Dmitri Bichko, Leonid Chindelevitch, Åsa K. Hedman, Daniel Ziemek
Bioinformatics
Genetic Associations and Epidemiology
article

<tt>ReverseGWAS</tt> identifies combined phenotypes associated with a genotype in GWA studies

Dmitri Bichko, Leonid Chindelevitch, Åsa K. Hedman, Daniel Ziemek
article en

Abstract

The source code of ReverseGWAS is freely available to non-commercial users as an installable R package at https://github.com/Leonardini/rgwas.

BioinformaticsVol. 42(3)
Pfizer (United States) (US), Imperial College London (GB)
Openalex Percentile: Top 50%
Genetic Associations and Epidemiology
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

<tt>ReverseGWAS</tt> identifies combined phenotypes associated with a genotype in GWA studies — Dmitri Bichko, Leonid Chindelevitch, et al. · Bioinformatics (2026) | TGRS Research Map | TGRS