TY - JOUR
T1 - Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors
AU - Early Growth Genetics (EGG) Consortium
AU - Warrington, Nicole M.
AU - Beaumont, Robin N.
AU - Horikoshi, Momoko
AU - Day, Felix R.
AU - Helgeland, Øyvind
AU - Laurin, Charles
AU - Bacelis, Jonas
AU - Peng, Shouneng
AU - Hao, Ke
AU - Feenstra, Bjarke
AU - Wood, Andrew R.
AU - Mahajan, Anubha
AU - Tyrrell, Jessica
AU - Robertson, Neil R.
AU - Rayner, N. William
AU - Qiao, Zhen
AU - Moen, Gunn Helen Øiseth
AU - Vaudel, Marc
AU - Marsit, Carmen J.
AU - Chen, Jia
AU - Nodzenski, Michael
AU - Schnurr, Theresia M.
AU - Zafarmand, Mohammad H.
AU - Bradfield, Jonathan P.
AU - Grarup, Niels
AU - Kooijman, Marjolein N.
AU - Li-Gao, Ruifang
AU - Geller, Frank
AU - Ahluwalia, Tarunveer S.
AU - Paternoster, Lavinia
AU - Rueedi, Rico
AU - Huikari, Ville
AU - Hottenga, Jouke Jan
AU - Lyytikäinen, Leo Pekka
AU - Cavadino, Alana
AU - Metrustry, Sarah
AU - Cousminer, Diana L.
AU - Wu, Ying
AU - Thiering, Elisabeth
AU - Wang, Carol A.
AU - Have, Christian T.
AU - Vilor-Tejedor, Natalia
AU - Joshi, Peter K.
AU - Painter, Jodie N.
AU - Ntalla, Ioanna
AU - Myhre, Ronny
AU - Pitkänen, Niina
AU - Hayes, M. Geoffrey
AU - Scholtens, Denise M.
AU - Lowe, William L.
N1 - Publisher Copyright:
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2018/10/17
Y1 - 2018/10/17
N2 - Birth weight (BW) variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. These associations have been proposed to reflect the lifelong consequences of an adverse intrauterine environment. In earlier work, we demonstrated that much of the negative correlation between BW and adult cardio-metabolic traits could instead be attributable to shared genetic effects. However, that work and other previous studies did not systematically distinguish the direct effects of an individual’s own genotype on BW and subsequent disease risk from indirect effects of their mother’s correlated genotype, mediated by the intrauterine environment. Here, we describe expanded genome-wide association analyses of own BW (n=321,223) and offspring BW (n=230,069 mothers), which identified 278 independent association signals influencing BW (214 novel). We used structural equation modelling to decompose the contributions of direct fetal and indirect maternal genetic influences on BW, implicating fetal- and maternal-specific mechanisms. We used Mendelian randomization to explore the causal relationships between factors influencing BW through fetal or maternal routes, for example, glycemic traits and blood pressure. Direct fetal genotype effects dominate the shared genetic contribution to the association between lower BW and higher type 2 diabetes risk, whereas the relationship between lower BW and higher later blood pressure (BP) is driven by a combination of indirect maternal and direct fetal genetic effects: indirect effects of maternal BP-raising genotypes act to reduce offspring BW, but only direct fetal genotype effects (once inherited) increase the offspring’s later BP. Instrumental variable analysis using maternal BW-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring BP. In successfully separating fetal from maternal genetic effects, this work represents an important advance in genetic studies of perinatal outcomes, and shows that the association between lower BW and higher adult BP is attributable to genetic effects, and not to intrauterine programming.
AB - Birth weight (BW) variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. These associations have been proposed to reflect the lifelong consequences of an adverse intrauterine environment. In earlier work, we demonstrated that much of the negative correlation between BW and adult cardio-metabolic traits could instead be attributable to shared genetic effects. However, that work and other previous studies did not systematically distinguish the direct effects of an individual’s own genotype on BW and subsequent disease risk from indirect effects of their mother’s correlated genotype, mediated by the intrauterine environment. Here, we describe expanded genome-wide association analyses of own BW (n=321,223) and offspring BW (n=230,069 mothers), which identified 278 independent association signals influencing BW (214 novel). We used structural equation modelling to decompose the contributions of direct fetal and indirect maternal genetic influences on BW, implicating fetal- and maternal-specific mechanisms. We used Mendelian randomization to explore the causal relationships between factors influencing BW through fetal or maternal routes, for example, glycemic traits and blood pressure. Direct fetal genotype effects dominate the shared genetic contribution to the association between lower BW and higher type 2 diabetes risk, whereas the relationship between lower BW and higher later blood pressure (BP) is driven by a combination of indirect maternal and direct fetal genetic effects: indirect effects of maternal BP-raising genotypes act to reduce offspring BW, but only direct fetal genotype effects (once inherited) increase the offspring’s later BP. Instrumental variable analysis using maternal BW-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring BP. In successfully separating fetal from maternal genetic effects, this work represents an important advance in genetic studies of perinatal outcomes, and shows that the association between lower BW and higher adult BP is attributable to genetic effects, and not to intrauterine programming.
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U2 - 10.1101/442756
DO - 10.1101/442756
M3 - Article
AN - SCOPUS:85095279871
JO - Free Radical Biology and Medicine
JF - Free Radical Biology and Medicine
SN - 0891-5849
ER -