TY - JOUR
T1 - Genetic evidence for causal relationships between maternal obesity-related traits and birth weight
AU - Tyrrell, Jessica
AU - Richmond, Rebecca C.
AU - Palmer, Tom M.
AU - Feenstra, Bjarke
AU - Rangarajan, Janani
AU - Metrustry, Sarah
AU - Cavadino, Alana
AU - Paternoster, Lavinia
AU - Armstrong, Loren L.
AU - De Silva, N. Maneka G
AU - Wood, Andrew R.
AU - Horikoshi, Momoko
AU - Geller, Frank
AU - Myhre, Ronny
AU - Bradfield, Jonathan P.
AU - Kreiner-Møller, Eskil
AU - Huikari, Ille
AU - Painter, Jodie N.
AU - Hottenga, Jouke Jan
AU - Allard, Catherine
AU - Berry, Diane J.
AU - Bouchard, Luigi
AU - Das, Shikta
AU - Evans, David M.
AU - Hakonarson, Hakon
AU - Hayes, M. Geoffrey
AU - Heikkinen, Jani
AU - Hofman, Albert
AU - Knight, Bridget
AU - Lind, Penelope A.
AU - McCarthy, Mark I.
AU - McMahon, George
AU - Medland, Sarah E.
AU - Melbye, Mads
AU - Morris, Andrew P.
AU - Nodzenski, Michael
AU - Reichetzeder, Christoph
AU - Ring, Susan M.
AU - Sebert, Sylvain
AU - Sengpiel, Verena
AU - Sørensen, Thorkild I A
AU - Willemsen, Gonneke
AU - De Geus, Eco J C
AU - Martin, Nicholas G.
AU - Spector, Tim D.
AU - Power, Christine
AU - Järvelin, Marjo Riitta
AU - Bisgaard, Hans
AU - Grant, Struan F A
AU - Nohr, Ellen A.
AU - Jaddoe, Vincent W.
AU - Jacobsson, Bo
AU - Murray, Jeffrey C.
AU - Hocher, Berthold
AU - Hattersley, Andrew T.
AU - Scholtens, Denise M.
AU - Smith, George Davey
AU - Hivert, Marie France
AU - Felix, Janine F.
AU - Hyppönen, Elina
AU - Lowe, William L.
AU - Frayling, Timothy M.
AU - Lawlor, Debbie A.
AU - Freathy, Rachel M.
N1 - Funding Information:
Funding/support of authors is as follows (funding details for individual studies are reported in the Supplement). Drs Frayling and Wood are supported by grant 323195 SZ-245 50371- GLUCOSEGENES-FP7-IDEAS-ERC from the European Research Council; Drs Hattersley and McCarthy areWellcome Trust senior investigators; Dr McCarthy is a National Institutes of Health Research senior investigator. Dr Freathy is a Sir Henry Dale Fellow (Wellcome Trust and Royal Society grant 104150/Z/14/Z); Dr Tyrrell is funded by a Diabetes Research andWellness Foundation Fellowship; Dr Richmond is funded by the Wellcome Trust 4-year studentship (grant code, WT083431MF). Drs Lawlor, Davey Smith, Evans, and Ring all work in a unit that receives funding from the University of Bristol and the UK Medical Research Council (grants MC_UU_1201/1/5, MC_UU_1201/1, and MC_UU_1201/4). Dr Lawlor is supported by awards from theWellcome Trust (WT094529MA andWT088806) and US National Institutes of Health (R01 DK10324) and is a National Institutes of Health Research Senior Investigator (NF-SI-0611-10196). Drs Evans and Medland were supported by an Australian Research Council Future Fellowship (FT130101709 and FT110100548). Dr Järvelin is supported by a DynaHEALTH grant (European Union H2020-PHC-2014; 633595). Dr Feenstra is supported by an Oak Foundation Scholarship. Dr Bouchard is a junior research scholar from the Fonds de la recherché en santé du Québec (FRQS) and a member of the FRQS-funded Centre de recherché du CHUS. DrM-F. Hivert is a Fonds de la recherché en santé du Québec research scholars and was awarded a Clinical Scientist Award by the Canadian Diabetes Association and the Maud Menten Award from the Institute of Genetics- Canadian Institute of Health Research. Dr Allard was awarded the Canadian Institute of Health Research-Frederick Banting and Charles Best Canada Graduate Scholarships. Dr Jaddoe is supported by the Netherlands Organization for Health Research and Development (ZonMw -VIDI 016.136.361). Dr Morris is aWellcome Trust Senior Research Fellow (grant numberWT098017). Dr Sørensen is holder of a European Research Council Advanced Principal Investigator award.
Publisher Copyright:
Copyright 2016 American Medical Association. All rights reserved.
PY - 2016/3/15
Y1 - 2016/3/15
N2 - IMPORTANCE Neonates born to overweight or obese women are larger and at higher risk of birth complications. Many maternal obesity-related traits are observationally associated with birth weight, but the causal nature of these associations is uncertain. OBJECTIVE To test for genetic evidence of causal associations of maternal body mass index (BMI) and related traits with birth weight. DESIGN, SETTING, AND PARTICIPANTS Mendelian randomization to test whether maternal BMI and obesity-related traits are potentially causally related to offspring birth weight. Data from 30 487 women in 18 studies were analyzed. Participants were of European ancestry from population-or community-based studies in Europe, North America, or Australia and were part of the Early Growth Genetics Consortium. Live, term, singleton offspring born between 1929 and 2013 were included. EXPOSURES Genetic scores for BMI, fasting glucose level, type 2 diabetes, systolic blood pressure (SBP), triglyceride level, high-density lipoprotein cholesterol (HDL-C) level, vitamin D status, and adiponectin level. MAIN OUTCOME AND MEASURE Offspring birthweight from 18 studies. RESULTS Among the 30 487 newborns the mean birth weight in the various cohorts ranged from 3325 g to 3679 g. The maternal genetic score for BMI was associated with a 2-g (95%CI, 0 to 3 g) higher offspring birth weight per maternal BMI-raising allele (P = .008). The maternal genetic scores for fasting glucose and SBP were also associated with birth weight with effect sizes of 8 g (95%CI, 6 to 10 g) per glucose-raising allele (P = 7 × 10-14) and -4 g (95%CI, -6 to -2g) per SBP-raising allele (P = 1×10-5), respectively. A 1-SD ( ≈ 4 points) genetically higher maternal BMI was associated with a 55-g higher offspring birth weight (95%CI, 17 to 93 g). A 1-SD ( ≈ 7.2mg/dL) genetically higher maternal fasting glucose concentration was associated with 114-g higher offspring birth weight (95%CI, 80 to 147 g). However, a 1-SD ( ≈ 10mmHg) genetically higher maternal SBP was associated with a 208-g lower offspring birth weight (95%CI, -394 to -21 g). For BMI and fasting glucose, genetic associations were consistent with the observational associations, but for systolic blood pressure, the genetic and observational associations were in opposite directions. CONCLUSIONS AND RELEVANCE In this mendelian randomization study, genetically elevated maternal BMI and blood glucose levels were potentially causally associated with higher offspring birth weight, whereas genetically elevated maternal SBP was potentially causally related to lower birth weight. If replicated, these findings may have implications for counseling and managing pregnancies to avoid adverse weight-related birth outcomes.
AB - IMPORTANCE Neonates born to overweight or obese women are larger and at higher risk of birth complications. Many maternal obesity-related traits are observationally associated with birth weight, but the causal nature of these associations is uncertain. OBJECTIVE To test for genetic evidence of causal associations of maternal body mass index (BMI) and related traits with birth weight. DESIGN, SETTING, AND PARTICIPANTS Mendelian randomization to test whether maternal BMI and obesity-related traits are potentially causally related to offspring birth weight. Data from 30 487 women in 18 studies were analyzed. Participants were of European ancestry from population-or community-based studies in Europe, North America, or Australia and were part of the Early Growth Genetics Consortium. Live, term, singleton offspring born between 1929 and 2013 were included. EXPOSURES Genetic scores for BMI, fasting glucose level, type 2 diabetes, systolic blood pressure (SBP), triglyceride level, high-density lipoprotein cholesterol (HDL-C) level, vitamin D status, and adiponectin level. MAIN OUTCOME AND MEASURE Offspring birthweight from 18 studies. RESULTS Among the 30 487 newborns the mean birth weight in the various cohorts ranged from 3325 g to 3679 g. The maternal genetic score for BMI was associated with a 2-g (95%CI, 0 to 3 g) higher offspring birth weight per maternal BMI-raising allele (P = .008). The maternal genetic scores for fasting glucose and SBP were also associated with birth weight with effect sizes of 8 g (95%CI, 6 to 10 g) per glucose-raising allele (P = 7 × 10-14) and -4 g (95%CI, -6 to -2g) per SBP-raising allele (P = 1×10-5), respectively. A 1-SD ( ≈ 4 points) genetically higher maternal BMI was associated with a 55-g higher offspring birth weight (95%CI, 17 to 93 g). A 1-SD ( ≈ 7.2mg/dL) genetically higher maternal fasting glucose concentration was associated with 114-g higher offspring birth weight (95%CI, 80 to 147 g). However, a 1-SD ( ≈ 10mmHg) genetically higher maternal SBP was associated with a 208-g lower offspring birth weight (95%CI, -394 to -21 g). For BMI and fasting glucose, genetic associations were consistent with the observational associations, but for systolic blood pressure, the genetic and observational associations were in opposite directions. CONCLUSIONS AND RELEVANCE In this mendelian randomization study, genetically elevated maternal BMI and blood glucose levels were potentially causally associated with higher offspring birth weight, whereas genetically elevated maternal SBP was potentially causally related to lower birth weight. If replicated, these findings may have implications for counseling and managing pregnancies to avoid adverse weight-related birth outcomes.
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U2 - 10.1001/jama.2016.1975
DO - 10.1001/jama.2016.1975
M3 - Article
C2 - 26978208
AN - SCOPUS:84962534148
SN - 0098-7484
VL - 315
SP - 1129
EP - 1140
JO - JAMA - Journal of the American Medical Association
JF - JAMA - Journal of the American Medical Association
IS - 11
ER -