| Title: | Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight |
| Journal: | Human Molecular Genetics |
| Published: | 6 May 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/33955455/ |
| DOI: | https://doi.org/10.1093/hmg/ddab121 |
| URL: | https://academic.oup.com/hmg/article-pdf/30/19/1894/40374123/ddab121.pdf |
| Citations: | 7 (4 in last 2 years) as of 8 Aug 2024 |
Publication 4926
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Abstract
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.</p>
9 Keywords
- Adult
- Birth Weight
- Fetal Development
- Genome-Wide Association Study
- Gestational Age
- Humans
- Infant, Newborn
- Pregnancy, Twin
- Twins
34 Authors
- Jeffrey J Beck
- René Pool
- Margot van de Weijer
- Xu Chen
- Eva Krapohl
- Scott D Gordon
- Marianne Nygaard
- Birgit Debrabant
- Teemu Palviainen
- Matthijs D van der Zee
- Bart Baselmans
- Casey T Finnicum
- Lu Yi
- Sebastian Lundström
- Toos van Beijsterveldt
- Lene Christiansen
- Kauko Heikkilä
- Julie Kittelsrud
- Anu Loukola
- Miina Ollikainen
- Kaare Christensen
- Nicholas G Martin
- Robert Plomin
- Michel Nivard
- Meike Bartels
- Conor Dolan
- Gonneke Willemsen
- Eco de Geus
- Catarina Almqvist
- Patrik K E Magnusson
- Hamdi Mbarek
- Erik A Ehli
- Dorret I Boomsma
- Jouke-Jan Hottenga
Enabling scientific discoveries that improve human health