GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI
dc.contributor.author | Alves, AC | |
dc.contributor.author | De Silva, NMG | |
dc.contributor.author | Karhunen, V | |
dc.contributor.author | Sovio, U | |
dc.contributor.author | Das, S | |
dc.contributor.author | Rob Taal, H | |
dc.contributor.author | Warrington, NM | |
dc.contributor.author | Lewin, AM | |
dc.contributor.author | Kaakinen, M | |
dc.contributor.author | Cousminer, DL | |
dc.contributor.author | Thiering, E | |
dc.contributor.author | Timpson, NJ | |
dc.contributor.author | Bond, TA | |
dc.contributor.author | Lowry, E | |
dc.contributor.author | Brown, CD | |
dc.contributor.author | Estivill, X | |
dc.contributor.author | Lindi, V | |
dc.contributor.author | Bradfield, JP | |
dc.contributor.author | Geller, F | |
dc.contributor.author | Speed, D | |
dc.contributor.author | Coin, LJM | |
dc.contributor.author | Loh, M | |
dc.contributor.author | Barton, SJ | |
dc.contributor.author | Beilin, LJ | |
dc.contributor.author | Bisgaard, H | |
dc.contributor.author | Bønnelykke, K | |
dc.contributor.author | Alili, R | |
dc.contributor.author | Hatoum, IJ | |
dc.contributor.author | Schramm, K | |
dc.contributor.author | Cartwright, R | |
dc.contributor.author | Charles, MA | |
dc.contributor.author | Salerno, V | |
dc.contributor.author | Clément, K | |
dc.contributor.author | Claringbould, AAJ | |
dc.contributor.author | Van Duijn, CM | |
dc.contributor.author | Moltchanova, E | |
dc.contributor.author | Eriksson, JG | |
dc.contributor.author | Elks, C | |
dc.contributor.author | Feenstra, B | |
dc.contributor.author | Flexeder, C | |
dc.contributor.author | Franks, S | |
dc.contributor.author | Frayling, TM | |
dc.contributor.author | Freathy, RM | |
dc.contributor.author | Elliott, P | |
dc.contributor.author | Widén, E | |
dc.contributor.author | Hakonarson, H | |
dc.contributor.author | Hattersley, AT | |
dc.contributor.author | Rodriguez, A | |
dc.contributor.author | Banterle, M | |
dc.contributor.author | Heinrich, J | |
dc.contributor.author | Heude, B | |
dc.contributor.author | Holloway, JW | |
dc.contributor.author | Hofman, A | |
dc.contributor.author | Hyppönen, E | |
dc.contributor.author | Inskip, H | |
dc.contributor.author | Kaplan, LM | |
dc.contributor.author | Hedman, AK | |
dc.contributor.author | Läärä, E | |
dc.contributor.author | Prokisch, H | |
dc.contributor.author | Grallert, H | |
dc.contributor.author | Lakka, TA | |
dc.contributor.author | Lawlor, DA | |
dc.contributor.author | Melbye, M | |
dc.contributor.author | Ahluwalia, TS | |
dc.contributor.author | Marinelli, M | |
dc.contributor.author | Millwood, IY | |
dc.contributor.author | Palmer, LJ | |
dc.contributor.author | Pennell, CE | |
dc.contributor.author | Perry, JR | |
dc.contributor.author | Ring, SM | |
dc.contributor.author | Savolainen, MJ | |
dc.contributor.author | Rivadeneira, F | |
dc.contributor.author | Standl, M | |
dc.contributor.author | Sunyer, J | |
dc.contributor.author | Tiesler, CMT | |
dc.contributor.author | Uitterlinden, AG | |
dc.contributor.author | Schierding, W | |
dc.contributor.author | Sullivan, OM | |
dc.contributor.author | Prokopenko, I | |
dc.contributor.author | Herzig, KH | |
dc.contributor.author | Smith, GD | |
dc.contributor.author | O'Reilly, P | |
dc.contributor.author | Felix, JF | |
dc.contributor.author | Buxton, JL | |
dc.contributor.author | Blakemore, AIF | |
dc.contributor.author | Ong, KK | |
dc.contributor.author | Jaddoe, VWV | |
dc.contributor.author | Grant, SFA | |
dc.contributor.author | Sebert, S | |
dc.contributor.author | McCarthy, MI | |
dc.contributor.author | Järvelin, MR | |
dc.date.accessioned | 2020-02-04T10:22:53Z | |
dc.date.issued | 2019-09-04 | |
dc.description.abstract | Early childhood growth patterns are associated with adult health, yet the genetic factors and the developmental stages involved are not fully understood. Here, we combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap with those of adult health. We found a robust overlap between the genetics of child and adult body mass index (BMI), with variants associated with adult BMI acting as early as 4 to 6 years old. However, we demonstrated a completely distinct genetic makeup for peak BMI during infancy, influenced by variation at the LEPR/LEPROT locus. These findings suggest that different genetic factors control infant and child BMI. In light of the obesity epidemic, these findings are important to inform the timing and targets of prevention strategies. | en_GB |
dc.description.sponsorship | Medical Research Council (MRC) | en_GB |
dc.description.sponsorship | Wellcome Trust | en_GB |
dc.description.sponsorship | National Institutes of Health (NIH) | en_GB |
dc.description.sponsorship | Danish National Research Foundation | en_GB |
dc.description.sponsorship | Lundbeck Foundation | en_GB |
dc.description.sponsorship | Danish Medical Research Council | en_GB |
dc.identifier.citation | Vol. 5 (9), article eaaw3095 | en_GB |
dc.identifier.doi | 10.1126/sciadv.aaw3095 | |
dc.identifier.grantnumber | 102215/2/13/2 | en_GB |
dc.identifier.grantnumber | R01 HD056465 | en_GB |
dc.identifier.grantnumber | U01HG004423 | en_GB |
dc.identifier.grantnumber | U01HG004438 | en_GB |
dc.identifier.grantnumber | R19-A2059 | en_GB |
dc.identifier.grantnumber | 09-065592 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/40723 | |
dc.language.iso | en | en_GB |
dc.publisher | American Association for the Advancement of Science (AAAS) | en_GB |
dc.rights | © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). 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 work is properly cited. | en_GB |
dc.title | GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-02-04T10:22:53Z | |
dc.description | This is the final version. Available on open access from AAAS via the DOI in this record | en_GB |
dc.description | Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. Additional data related to this paper may be requested from the authors. | en_GB |
dc.identifier.eissn | 2375-2548 | |
dc.identifier.journal | Science Advances | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2019-08-06 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-09-04 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-02-04T10:18:09Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2020-02-04T10:23:05Z | |
refterms.panel | A | en_GB |
refterms.depositException | publishedGoldOA |
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Except where otherwise noted, this item's licence is described as © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).
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 work is properly cited.