Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight.
Journal
Human molecular genetics
ISSN: 1460-2083
Titre abrégé: Hum Mol Genet
Pays: England
ID NLM: 9208958
Informations de publication
Date de publication:
15 09 2021
15 09 2021
Historique:
received:
27
01
2021
revised:
19
03
2021
accepted:
20
04
2021
pubmed:
7
5
2021
medline:
8
4
2022
entrez:
6
5
2021
Statut:
ppublish
Résumé
Birth weight (BW) is an important predictor of newborn survival and health and has associations with many adult health outcomes, including cardiometabolic disorders, autoimmune diseases and mental health. On average, twins have a lower BW than singletons as a result of a different pattern of fetal growth and shorter gestational duration. Therefore, investigations into the genetics of BW often exclude data from twins, leading to a reduction in sample size and remaining ambiguities concerning the genetic contribution to BW in twins. In this study, we carried out a genome-wide association meta-analysis of BW in 42 212 twin individuals and found a positive correlation of beta values (Pearson's r = 0.66, 95% confidence interval [CI]: 0.47-0.77) with 150 previously reported genome-wide significant variants for singleton BW. We identified strong positive genetic correlations between BW in twins and numerous anthropometric traits, most notably with BW in singletons (genetic correlation [rg] = 0.92, 95% CI: 0.66-1.18). Genetic correlations of BW in twins with a series of health-related traits closely resembled those previously observed for BW in singletons. Polygenic scores constructed from a genome-wide association study on BW in the UK Biobank demonstrated strong predictive power in a target sample of Dutch twins and singletons. Together, our results indicate that a similar genetic architecture underlies BW in twins and singletons and that future genome-wide studies might benefit from including data from large twin registers.
Identifiants
pubmed: 33955455
pii: 6259567
doi: 10.1093/hmg/ddab121
pmc: PMC8444448
doi:
Types de publication
Journal Article
Meta-Analysis
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1894-1905Subventions
Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : RC2 MH089995
Pays : United States
Organisme : NIAAA NIH HHS
ID : R01 AA009203
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG037985
Pays : United States
Organisme : US National Institutes of Health
ID : P01 AG08761
Organisme : NIH HHS
ID : R01 AG037985
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG008761
Pays : United States
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom
Informations de copyright
© The Author(s) 2021. Published by Oxford University Press.
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