Literature DB >> 35486972

Reassessment of candidate gene studies for idiopathic restless legs syndrome in a large genome-wide association study dataset of European ancestry.

Barbara Schormair1,2, Chen Zhao1, Aaro V Salminen1, Konrad Oexle1,2, Juliane Winkelmann1,2,3,4.   

Abstract

STUDY
OBJECTIVES: Several candidate gene studies have been published for idiopathic restless legs syndrome (RLS) in populations of European ancestry, but the reported associations have not been confirmed in independent samples. Our aim was to reassess these findings in a large case-control dataset in order to evaluate their validity.
METHODS: We screened PubMed for RLS candidate gene studies. We used the genome-wide association study (GWAS) dataset of the International EU-RLS-GENE Consortium as our replication sample, which provided genome-wide single-variant association data based on at most 17 220 individuals of European ancestry. We performed additional gene-based tests using the software MAGMA and assessed the power of our study using the genpwr R package.
RESULTS: We identified 14 studies conducted in European samples which assessed 45 variants in 27 genes of which 5 variants had been reported as significantly associated. None of these individual variants were replicated in our GWAS-based reassessment (nominal p > 0.05) and gene-based tests for the respective five genes ADH1B, GABRR3, HMOX1, MAOA, and VDR, were also nonsignificant (nominal p > 0.05). Our replication dataset was well powered to detect the reported effects, even when adjusting for effect size overestimation due to winner's curse. Power estimates were close to 100% for all variants.
CONCLUSION: In summary, none of the significant single-variant associations from candidate gene studies were confirmed in our GWAS dataset. Therefore, these associations were likely false positive. Our observations emphasize the need for large sample sizes and stringent significance thresholds in future association studies for RLS.
© The Author(s) 2022. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  genetic association studies; genome-wide association study; movement disorders; restless legs syndrome

Mesh:

Year:  2022        PMID: 35486972      PMCID: PMC9366638          DOI: 10.1093/sleep/zsac098

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   6.313


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