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Record W3033125864 · doi:10.1371/journal.pgen.1008718

Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits

2020· review· en· W3033125864 on OpenAlexafffund
Suzanne Vogelezang, Jonathan P. Bradfield, Tarunveer S. Ahluwalia, John A. Curtin, Timo A. Lakka, Niels Grarup, Markus Scholz, Peter J. van der Most, Claire Monnereau, Evie Stergiakouli, Anni Heiskala, Momoko Horikoshi, Iryna O. Fedko, Natàlia Vilor‐Tejedor, Diana L. Cousminer, Marie Standl, Carol A. Wang, Jorma Viikari, Frank Geller, Carmen Íñiguez, Niina Pitkänen, Alessandra Chesi, Jonas Bačelis, Loïc Yengo, Maties Torrent, Ιωάννα Ντάλλα, Øyvind Helgeland, Saskia Selzam, Judith M. Vonk, Mohammed H. Zafarmand, Barbara Heude, I. Sadaf Farooqi, Akram Alyass, Robin N. Beaumont, Peter Rzehak, José Ramón Bilbao, Theresia M. Schnurr, Inês Barroso, Klaus Bønnelykke, Lawrence J. Beilin, Lisbeth Carstensen, Marie‐Aline Charles, Bo Chawes, Karine Clément, Ricardo Closa‐Monasterolo, Adnan Čustović, Johan G. Eriksson, Joaquín Escribano, Maria M. Groen‐Blokhuis, Veit Grote, Dariusz Gruszfeld, Håkon Håkonarson, Torben Hansen, Andrew T. Hattersley, Mette Hollensted, Jouke‐Jan Hottenga, Elina Hyppönen, Stefan Johansson, Raimo Joro, Mika Kähönen, Ville Karhunen, Wieland Kieß, Bridget Knight, Berthold Koletzko, Andreas Kühnapfel, Kathrin Landgraf, Jean‐Paul Langhendries, Terho Lehtimäki, Jaakko T. Leinonen, Aihuali Li, Virpi Lindi, Estelle Lowry, Mariona Bustamante, Carolina Medina‐Gómez, Mads Melbye, Kim F. Michaelsen, Camilla S. Morgen, Trevor A. Mori, Tenna Ruest Haarmark Nielsen, Harri Niinikoski, Albertine J. Oldehinkel, Katja Pahkala, Kalliope Panoutsopoulou, Oluf Pedersen, Craig E. Pennell, Christopher Power, Sijmen A. Reijneveld, Fernando Rivadeneira, Angela Simpson, Peter D. Sly, Jakob Stokholm, Koon Teo, Elisabeth Thiering, Nicholas J. Timpson, André G. Uitterlinden, Barbera D. C. van Schaik, Marc Vaudel, Elvira Verduci, Rebecca Vinding, Mandy Vogel, Eleftheria Zeggini, Sylvain Sebért, Mads Vendelbo Lind, Christopher D. Brown, Loreto Santa‐Marina, Eva Reischl, Christine Frithioff‐Bøjsøe, David Meyre, Eleanor Wheeler, Ken K. Ong, Ellen A. Nøhr, Tanja G. M. Vrijkotte, Gerard H. Koppelman, Robert Plomin, Pål R. Njølstad, George D. Dedoussis, Philippe Froguel, Thorkild I. A. Sørensen, Bo Jacobsson, Rachel M. Freathy, Babette S. Zemel, Olli T. Raitakari, Martine Vrijheid, Bjarke Feenstra, Leo‐Pekka Lyytikäinen, Harold Snieder, Holger Kirsten, Patrick G. Holt, Joachim Heinrich, Elisabeth Widén, Jordi Sunyer, Dorret I. Boomsma, Marjo‐Riitta Järvelin, Antje Körner, George Davey Smith, Jens‐Christian Holm, Mustafa Atalay, Clare Murray, Hans Bisgaard, Mark I. McCarthy, Vincent W. V. Jaddoe, Struan F.A. Grant, Janine F. Felix

Bibliographic record

VenuePLoS Genetics · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsMcMaster UniversityImpact
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNIHR Cambridge Biomedical Research CentreFondation BotnarMedical Research Council CanadaNovo Nordisk FondenIsrael Science FoundationGreat Ormond Street Hospital for ChildrenLundbeckfondenNational Institute for Health and Care ResearchGeneralitat de CatalunyaNational Institute of Diabetes and Digestive and Kidney DiseasesZonMwMedical Research CouncilKoninklijke Nederlandse Akademie van WetenschappenUniversity of BristolAmerican Diabetes AssociationWellcome TrustSteno Diabetes Center CopenhagenDanish Diabetes AcademySuomen KulttuurirahastoNational Institutes of HealthNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research
KeywordsBody mass indexHeritabilityChildhood obesityBiologyTwin studyMenarcheGenome-wide association studyObesityGeneticsDemographyOverweightEndocrinologyGenotypeSingle-nucleotide polymorphismGene

Abstract

fetched live from OpenAlex

The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed a genome-wide association study meta-analysis of BMI in 61,111 children aged between 2 and 10 years. Twenty-five independent loci reached genome-wide significance in the combined discovery and replication analyses. Two of these, located near NEDD4L and SLC45A3, have not previously been reported in relation to either childhood or adult BMI. Positive genetic correlations of childhood BMI with birth weight and adult BMI, waist-to-hip ratio, diastolic blood pressure and type 2 diabetes were detected (Rg ranging from 0.11 to 0.76, P-values <0.002). A negative genetic correlation of childhood BMI with age at menarche was observed. Our results suggest that the biological processes underlying childhood BMI largely, but not completely, overlap with those underlying adult BMI. The well-known observational associations of BMI in childhood with cardio-metabolic diseases in adulthood may reflect partial genetic overlap, but in light of previous evidence, it is also likely that they are explained through phenotypic continuity of BMI from childhood into adulthood.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.277
Teacher spread0.251 · 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 designNot applicable
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".

Quick stats

Citations233
Published2020
Admission routes2
Has abstractyes

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