scholarly journals Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci

2010 ◽  
Vol 42 (6) ◽  
pp. 508-514 ◽  
Author(s):  
Eli A Stahl ◽  
◽  
Soumya Raychaudhuri ◽  
Elaine F Remmers ◽  
Gang Xie ◽  
...  
2021 ◽  
Author(s):  
Kazuyoshi Ishigaki ◽  
Saori Sakaue ◽  
Chikashi Terao ◽  
Yang Luo ◽  
Kyuto Sonehara ◽  
...  

AbstractTrans-ancestry genetic research promises to improve power to detect genetic signals, fine-mapping resolution, and performances of polygenic risk score (PRS). We here present a large-scale genome-wide association study (GWAS) of rheumatoid arthritis (RA) which includes 276,020 samples of five ancestral groups. We conducted a trans-ancestry meta-analysis and identified 124 loci (P < 5 × 10-8), of which 34 were novel. Candidate genes at the novel loci suggested essential roles of the immune system (e.g., TNIP2 and TNFRSF11A) and joint tissues (e.g., WISP1) in RA etiology. Trans-ancestry fine mapping identified putatively causal variants with biological insights (e.g., LEF1). Moreover, PRS based on trans-ancestry GWAS outperformed PRS based on single-ancestry GWAS and had comparable performance between European and East Asian populations. Our study provides multiple insights into the etiology of RA and improves genetic predictability of RA.


Author(s):  
Mengyao Yu ◽  
Sergiy Kyryachenko ◽  
Stephanie Debette ◽  
Philippe Amouyel ◽  
Jean-Jacques Schott ◽  
...  

Background: Mitral valve prolapse (MVP) is a common cardiac valve disease, which affects 1 in 40 in the general population. Previous genome-wide association study have identified 6 risk loci for MVP. But these loci explained only partially the genetic risk for MVP. We aim to identify additional risk loci for MVP by adding data set from the UK Biobank. Methods: We reanalyzed 1007/479 cases from the MVP-France study, 1469/862 controls from the MVP-Nantes study for reimputation genotypes using HRC and TOPMed panels. We also incorporated 434 MVP cases and 4527 controls from the UK Biobank for discovery analyses. Genetic association was conducted using SNPTEST and meta-analyses using METAL. We used FUMA for post-genome-wide association study annotations and MAGMA for gene-based and gene-set analyses. Results: We found TOPMed imputation to perform better in terms of accuracy in the lower ranges of minor allele frequency below 0.1. Our updated meta-analysis included UK Biobank study for ≈8 million common single-nucleotide polymorphisms (minor allele frequency >0.01) and replicated the association on Chr2 as the top association signal near TNS1 . We identified an additional risk locus on Chr1 ( SYT2 ) and 2 suggestive risk loci on chr8 ( MSRA ) and chr19 ( FBXO46 ), all driven by common variants. Gene-based association using MAGMA revealed 6 risk genes for MVP with pronounced expression levels in cardiovascular tissues, especially the heart and globally part of enriched GO terms related to cardiac development. Conclusions: We report an updated meta-analysis genome-wide association study for MVP using dense imputation coverage and an improved case-control sample. We describe several loci and genes with MVP spanning biological mechanisms highly relevant to MVP, especially during valve and heart development.


Hypertension ◽  
2013 ◽  
Vol 62 (5) ◽  
pp. 853-859 ◽  
Author(s):  
Tanika N. Kelly ◽  
Fumihiko Takeuchi ◽  
Yasuharu Tabara ◽  
Todd L. Edwards ◽  
Young Jin Kim ◽  
...  

2018 ◽  
Vol 36 (Supplement 1) ◽  
pp. e94
Author(s):  
M. Kleber ◽  
L.P. Lyytikainen ◽  
G.E. Delgado ◽  
C. Drechsler ◽  
C. Wanner ◽  
...  

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Melanie D. Napier ◽  
Nora Franceschini ◽  
Rahul Gondalia ◽  
James D. Stewart ◽  
Raúl Méndez-Giráldez ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document