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  5. Common maternal and fetal genetic variants show expected polygenic effects on risk of small- or large-for-gestational-age (SGA or LGA), except in the smallest 3% of babies
 
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Common maternal and fetal genetic variants show expected polygenic effects on risk of small- or large-for-gestational-age (SGA or LGA), except in the smallest 3% of babies
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Common maternal and fetal genetic variants show expected polygenic effects on risk of small- or large-for-gestational-age (S.pdf (936.04 KB)
Published version
Author(s)
Beaumont, Robin N
Kotecha, Sarah J
Wood, Andrew R
Knight, Bridget A
Sebert, Sylvain
more
Type
Journal Article
Abstract
Babies born clinically Small- or Large-for-Gestational-Age (SGA or LGA; sex- and gestational age-adjusted birth weight (BW) <10th or >90th percentile, respectively), are at higher risks of complications. SGA and LGA include babies who have experienced environment-related growth-restriction or overgrowth, respectively, and babies who are heritably small or large. However, the relative proportions within each group are unclear. We assessed the extent to which common genetic variants underlying variation in birth weight influence the probability of being SGA or LGA. We calculated independent fetal and maternal genetic scores (GS) for BW in 11,951 babies and 5,182 mothers. These scores capture the direct fetal and indirect maternal (via intrauterine environment) genetic contributions to BW, respectively. We also calculated maternal fasting glucose (FG) and systolic blood pressure (SBP) GS. We tested associations between each GS and probability of SGA or LGA. For the BW GS, we used simulations to assess evidence of deviation from an expected polygenic model.

Higher BW GS were strongly associated with lower odds of SGA and higher odds of LGA (ORfetal = 0.75 (0.71,0.80) and 1.32 (1.26,1.39); ORmaternal = 0.81 (0.75,0.88) and 1.17 (1.09,1.25), respectively per 1 decile higher GS). We found evidence that the smallest 3% of babies had a higher BW GS, on average, than expected from their observed birth weight (assuming an additive polygenic model: Pfetal = 0.014, Pmaternal = 0.062). Higher maternal SBP GS was associated with higher odds of SGA P = 0.005.

We conclude that common genetic variants contribute to risk of SGA and LGA, but that additional factors become more important for risk of SGA in the smallest 3% of babies.
Date Issued
2020-12-01
Date Acceptance
2020-10-13
Citation
PLoS Genetics, 2020, 16 (12), pp.1-15
URI
http://hdl.handle.net/10044/1/85443
URL
https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1009191
DOI
https://www.dx.doi.org/10.1371/journal.pgen.1009191
ISSN
1553-7390
Publisher
Public Library of Science (PLoS)
Start Page
1
End Page
15
Journal / Book Title
PLoS Genetics
Volume
16
Issue
12
Copyright Statement
© 2020 Beaumont et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
License URL
http://creativecommons.org/licenses/by/4.0/
Sponsor
UNIVERSITY OF OULU
Commission of the European Communities
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000597933100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
Nil
721567
Subjects
Science & Technology
Life Sciences & Biomedicine
Genetics & Heredity
BIRTH-WEIGHT
GROWTH RESTRICTION
ASSOCIATION
GLUCOSE
MANAGEMENT
CONSENSUS
STANDARD
TRAITS
Publication Status
Published
Article Number
ARTN e1009191
Date Publish Online
2020-12-07
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