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Record W3110376154 · doi:10.1186/s13073-020-00810-w

DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies

2020· review· en· W3110376154 on OpenAlexaff
Florianne O. L. Vehmeijer, Leanne K. Küpers, Gemma C. Sharp, Lucas A. Salas, Samantha Lent, Dereje D. Jima, Gwen Tindula, Sarah E. Reese, Cancan Qi, Olena Gruzieva, Christian M. Page, Faisal I. Rezwan, Phillip E. Melton, Ellen A. Nøhr, Geòrgia Escaramís, Peter Rzehak, Anni Heiskala, Tong Gong, Samuli Tuominen, Lu Gao, Jason P. Ross, Anne P. Starling, John W. Holloway, Paul Yousefi, Gunn Marit Aasvang, Lawrence J. Beilin, Anna Bergström, Elisabeth B. Binder, Leda Chatzi, Eva Corpeleijn, Darina Czamara, Brenda Eskenazi, Susan Ewart, Natàlia Ferré, Veit Grote, Dariusz Gruszfeld, Siri E. Håberg, Cathrine Hoyo, Karen Huen, Robert Karlsson, Inger Kull, Jean‐Paul Langhendries, Johanna Lepeule, Maria C. Magnus, Rachel L. Maguire, Peter L. Molloy, Claire Monnereau, Trevor A. Mori, Emily Oken, Katri Räikkönen, Sheryl L. Rifas‐Shiman, Carlos Ruiz-Arenas, Sylvain Sebért, Vilhelmina Ullemar, Elvira Verduci, Judith M. Vonk, Cheng‐Jian Xu, Ivana V. Yang, Hongmei Zhang, Weimin Zhang, Wilfried Karmaus, Dana Dabelea, Beverly S. Mühlhäusler, Carrie V. Breton, Jari Lahti, Catarina Almqvist, Marjo‐Riitta Järvelin, Berthold Koletzko, Martine Vrijheid, Thorkild I. A. Sørensen, Rae‐Chi Huang, Syed Hasan Arshad, Wenche Nystad, Erik Melén, Gerard H. Koppelman, Stephanie J. London, Nina Holland, Mariona Bustamante, Susan K. Murphy, Marie‐France Hivert, Andrea Baccarelli, Caroline L. Relton, Harold Snieder, Vincent W. V. Jaddoe, Janine F. Felix

Bibliographic record

VenueGenome Medicine · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité de Sherbrooke
FundersUniversity of Colorado School of Medicine, Anschutz Medical CampusNational Institute of Environmental Health SciencesNational Institute of General Medical SciencesNational Institute of Diabetes and Digestive and Kidney DiseasesCollege of Engineering, Michigan State UniversityNorwegian Institute of Public HealthFaculty of Medicine and Health, University of SydneyMedical Research CouncilAnschutz Medical Campus, University of ColoradoSchool of Medicine, Emory UniversityKlinisk Institut, Syddansk UniversitetNational Institutes of HealthCentre National de la Recherche ScientifiqueUniversitat de BarcelonaTurun YliopistoU.S. Department of Health and Human ServicesEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Jewish HealthKarolinska InstitutetZonMwInstitut National de la Santé et de la Recherche MédicaleCommonwealth Scientific and Industrial Research OrganisationCranfield UniversityNorth Carolina State UniversityUniversità degli Studi di MilanoCurtin University of TechnologyHelsingin YliopistoEuropean CommissionDirectorate for Biological SciencesImperial College LondonOulun YliopistoMedizinischen Hochschule HannoverUniversitair Medisch Centrum GroningenMichigan State UniversityJoint Programming Initiative A healthy diet for a healthy lifeUniversité Grenoble AlpesUniversitat de GironaUniversitat Rovira i VirgiliUniversity of MemphisUniversity of Southern CaliforniaWellcome TrustUniversity of SouthamptonInstitut d'Investigació Sanitària Pere VirgiliSchool of Public Health, Imperial College LondonSyddansk UniversitetEmory UniversityAgence Nationale de la RechercheRijksuniversiteit Groningen
KeywordsEpigenomeDNA methylationHuman geneticsMeta-analysisGeneticsBody mass indexIndex (typography)BiologyComputational biologyMethylationAssociation (psychology)EpigeneticsBioinformaticsMedicineDNAPsychologyComputer scienceInternal medicineGeneWorld Wide WebEndocrinology

Abstract

fetched live from OpenAlex

Abstract Background DNA methylation has been shown to be associated with adiposity in adulthood. However, whether similar DNA methylation patterns are associated with childhood and adolescent body mass index (BMI) is largely unknown. More insight into this relationship at younger ages may have implications for future prevention of obesity and its related traits. Methods We examined whether DNA methylation in cord blood and whole blood in childhood and adolescence was associated with BMI in the age range from 2 to 18 years using both cross-sectional and longitudinal models. We performed meta-analyses of epigenome-wide association studies including up to 4133 children from 23 studies. We examined the overlap of findings reported in previous studies in children and adults with those in our analyses and calculated enrichment. Results DNA methylation at three CpGs (cg05937453, cg25212453, and cg10040131), each in a different age range, was associated with BMI at Bonferroni significance,P < 1.06 × 10−7, with a 0.96 standard deviation score (SDS) (standard error (SE) 0.17), 0.32 SDS (SE 0.06), and 0.32 BMI SDS (SE 0.06) higher BMI per 10% increase in methylation, respectively. DNA methylation at nine additional CpGs in the cross-sectional childhood model was associated with BMI at false discovery rate significance. The strength of the associations of DNA methylation at the 187 CpGs previously identified to be associated with adult BMI, increased with advancing age across childhood and adolescence in our analyses. In addition, correlation coefficients between effect estimates for those CpGs in adults and in children and adolescents also increased. Among the top findings for each age range, we observed increasing enrichment for the CpGs that were previously identified in adults (birthPenrichment = 1; childhoodPenrichment = 2.00 × 10−4; adolescencePenrichment = 2.10 × 10−7). Conclusions There were only minimal associations of DNA methylation with childhood and adolescent BMI. With the advancing age of the participants across childhood and adolescence, we observed increasing overlap with altered DNA methylation loci reported in association with adult BMI. These findings may be compatible with the hypothesis that DNA methylation differences are mostly a consequence rather than a cause of obesity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.024
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0070.029
Bibliometrics0.0050.008
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.127
GPT teacher head0.398
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations100
Published2020
Admission routes1
Has abstractyes

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