Genetic architecture reconciles linkage and association studies of complex traits.
Journal
Nature genetics
ISSN: 1546-1718
Titre abrégé: Nat Genet
Pays: United States
ID NLM: 9216904
Informations de publication
Date de publication:
07 Oct 2024
07 Oct 2024
Historique:
received:
26
02
2023
accepted:
30
08
2024
medline:
8
10
2024
pubmed:
8
10
2024
entrez:
7
10
2024
Statut:
aheadofprint
Résumé
Linkage studies have successfully mapped loci underlying monogenic disorders, but mostly failed when applied to common diseases. Conversely, genome-wide association studies (GWASs) have identified replicable associations between thousands of SNPs and complex traits, yet capture less than half of the total heritability. In the present study we reconcile these two approaches by showing that linkage signals of height and body mass index (BMI) from 119,000 sibling pairs colocalize with GWAS-identified loci. Concordant with polygenicity, we observed the following: a genome-wide inflation of linkage test statistics; that GWAS results predict linkage signals; and that adjusting phenotypes for polygenic scores reduces linkage signals. Finally, we developed a method using recombination rate-stratified, identity-by-descent sharing between siblings to unbiasedly estimate heritability of height (0.76 ± 0.05) and BMI (0.55 ± 0.07). Our results imply that substantial heritability remains unaccounted for by GWAS-identified loci and this residual genetic variation is polygenic and enriched near these loci.
Identifiants
pubmed: 39375568
doi: 10.1038/s41588-024-01940-2
pii: 10.1038/s41588-024-01940-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Investigateurs
Ilja M Nolte
(IM)
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.
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