Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis

Kazuyoshi Ishigaki, Saori Sakaue, Chikashi Terao, Yang Luo, Kyuto Sonehara, Kensuke Yamaguchi, Tiffany Amariuta, Chun Lai Too, Vincent A. Laufer, Ian C. Scott, Sébastien Viatte, Meiko Takahashi, Koichiro Ohmura, Akira Murasawa, Motomu Hashimoto, Hiromu Ito, Samer Hammoudeh, Samar Al Emadi, Basel Masri, Hussein Halabi, Humeira Badsha, Imad Uthman, Xin Wu, Lin Li, Ting Li, Darren Plant, Anne Barton, Gisela Orozco, Suzanne Verstappen, John Bowes, Alex J. MacGregor, Suguru Honda, Masaru Koido, Kohei Tomizuka, Yoichiro Kamatani, Hiroaki Tanaka, Eiichi Tanaka, Akari Suzuki, Yuichi Maeda, Kenichi Yamamoto, Satoru Miyawaki, Gang Xie, Jinyi Zhang, Christopher I. Amos, Edward Keystone, Gertjan Wolbink, Irene van der Horst‐Bruinsma, Jing Cui, Katherine P. Liao, Robert J. Carroll, Hye‐Soon Lee, So‐Young Bang, Katherine Siminovitch, Niek de Vries, Lars Alfredsson, Solbritt Rantapää‐Dahlqvist, Elizabeth W. Karlson, Sang‐Cheol Bae, Robert P. Kimberly, Jeffrey C. Edberg, Xavier Mariette, T. Huizinga, Philippe Dieudé, Matthias Schneider, Martin Kerick, Joshua C. Denny, The BioBank Japan Project, Koichi Matsuda, Keitaro Matsuo, Tsuneyo Mimori, Fumihiko Matsuda, Keishi Fujio, Yoshiya Tanaka, Atsushi Kumanogoh, Matthew Traylor, Cathryn M. Lewis, Stephen Eyre, Huji Xu, Richa Saxena, Thurayya Arayssi, Yuta Kochi, Katsunori Ikari, Masayoshi Harigai, Peter K. Gregersen, Kazuhiko Yamamoto, S. Louis Bridges, Leonid Padyukov, Javier Martı́n, Lars Klareskog, Yukinori Okada, Soumya Raychaudhuri

Nature Genetics · 2022

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Summary

This multi-ancestry genome-wide association study leveraged genotype and phenotype data across diverse populations to identify novel genetic variants and biological pathways underlying rheumatoid arthritis susceptibility. By examining genetic associations across multiple ancestries, the research revealed both ancestry-specific and shared genetic contributions to disease risk. The findings advance understanding of rheumatoid arthritis aetiology and suggest the value of inclusive genetic discovery approaches for complex diseases.

UK applicability

The study's identification of shared genetic mechanisms across ancestries may inform clinical risk stratification and drug development applicable to United Kingdom populations. However, ancestry-specific variants identified may have variable prevalence and relevance to UK population structure, requiring validation in British cohorts.

Key measures

Genetic variants (single nucleotide polymorphisms) associated with rheumatoid arthritis across ancestry groups; ancestry-specific versus shared genetic risk mechanisms

Outcomes reported

The study identified novel genetic variants and mechanisms associated with rheumatoid arthritis risk through multi-ancestry genome-wide association analyses. The research characterised both ancestry-specific and shared genetic contributions to disease susceptibility across diverse population groups.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Research
Study design
Genome-wide association study (GWAS)
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1038/s41588-022-01213-w
Catalogue ID
SNmoi53hbn-hjeyhs

Topic tags

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