Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight. Issue 19 (6th May 2021)
- Record Type:
- Journal Article
- Title:
- Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight. Issue 19 (6th May 2021)
- Main Title:
- Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight
- Authors:
- Beck, Jeffrey J
Pool, René
van de Weijer, Margot
Chen, Xu
Krapohl, Eva
Gordon, Scott D
Nygaard, Marianne
Debrabant, Birgit
Palviainen, Teemu
van der Zee, Matthijs D
Baselmans, Bart
Finnicum, Casey T
Yi, Lu
Lundström, Sebastian
van Beijsterveldt, Toos
Christiansen, Lene
Heikkilä, Kauko
Kittelsrud, Julie
Loukola, Anu
Ollikainen, Miina
Christensen, Kaare
Martin, Nicholas G
Plomin, Robert
Nivard, Michel
Bartels, Meike
Dolan, Conor
Willemsen, Gonneke
de Geus, Eco
Almqvist, Catarina
Magnusson, Patrik K E
Mbarek, Hamdi
Ehli, Erik A
Boomsma, Dorret I
Hottenga, Jouke-Jan
… (more) - Abstract:
- 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 [ r g ] = 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 studiesAbstract: 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 [ r g ] = 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. … (more)
- Is Part Of:
- Human molecular genetics. Volume 30:Issue 19(2021)
- Journal:
- Human molecular genetics
- Issue:
- Volume 30:Issue 19(2021)
- Issue Display:
- Volume 30, Issue 19 (2021)
- Year:
- 2021
- Volume:
- 30
- Issue:
- 19
- Issue Sort Value:
- 2021-0030-0019-0000
- Page Start:
- 1894
- Page End:
- 1905
- Publication Date:
- 2021-05-06
- Subjects:
- Human molecular genetics -- Periodicals
Human chromosome abnormalities -- Periodicals
572.8 - Journal URLs:
- http://hmg.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/hmg/ddab121 ↗
- Languages:
- English
- ISSNs:
- 0964-6906
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4336.198000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19038.xml