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Record W2968498415 · doi:10.1126/sciadv.aaw3095

GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

2019· review· en· W2968498415 on OpenAlexfundno aff
Alexessander Couto Alves, N. Maneka G. De Silva, Ville Karhunen, Ulla Sovio, Shikta Das, H. Rob Taal, Nicole M. Warrington, Alex Lewin, Marika Kaakinen, Diana L. Cousminer, Elisabeth Thiering, Nicholas J. Timpson, Tom A. Bond, Estelle Lowry, Christopher D. Brown, Xavier Estivill, Virpi Lindi, Jonathan P. Bradfield, Frank Geller, Doug Speed, Lachlan Coin, Marie Loh, Sheila J. Barton, Lawrence J. Beilin, Hans Bisgaard, Klaus Bønnelykke, Rohia Alili, Ida J. Hatoum, Katharina Schramm, Rufus Cartwright, Marie‐Aline Charles, Vincenzo Salerno, Karine Clément, Annique Claringbould, Cornelia M. van Duijn, Elena Moltchanova, Johan G. Eriksson, Cathy E. Elks, Bjarke Feenstra, Claudia Flexeder, Timothy M. Frayling, Rachel M. Freathy, Paul Elliott, Elisabeth Widén, Håkon Håkonarson, Andrew T. Hattersley, Alina Rodriguez, Marco Banterle, Joachim Heinrich, Barbara Heude, John W. Holloway, Albert Hofman, Elina Hyppönen, Hazel Inskip, Lee M. Kaplan, Åsa K. Hedman, Esa Läärä, Holger Prokisch, Harald Grallert, Timo A. Lakka, Debbie A. Lawlor, Mads Melbye, Tarunveer S. Ahluwalia, M. Marinelli, Iona Y. Millwood, Lyle J. Palmer, Craig E. Pennell, John R. B. Perry, Susan M. Ring, Markku J. Savolainen, Fernando Rivadeneira, Marie Standl, Jordi Sunyer, Carla M. T. Tiesler, André G. Uitterlinden, William Schierding, Justin M. O’Sullivan, Inga Prokopenko, Karl‐Heinz Herzig, George Davey Smith, Paul F. O’Reilly, Janine F. Felix, Jessica L. Buxton, Alexandra I. F. Blakemore, Ken K. Ong, Vincent W. V. Jaddoe, Struan F.A. Grant, Sylvain Sebért, Mark I. McCarthy, Marjo‐Riitta Järvelin

Bibliographic record

VenueScience Advances · 2019
Typereview
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsnot available
FundersNational Institute of Mental HealthNational Heart, Lung, and Blood InstituteMarsden FundEuropean Research CouncilInstitut National de la Santé et de la Recherche MédicaleLundbeckfondenNIH Office of the DirectorNovo Nordisk FondenAcademy of FinlandNational Institute of Diabetes and Digestive and Kidney DiseasesInstituto de Salud Carlos IIIZonMwEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentEuropean CommissionMinisterio de Ciencia e InnovaciónNational Institute for Health and Care ResearchMedical Research CouncilDanmarks GrundforskningsfondSundhed og Sygdom, Det Frie ForskningsrådNational Human Genome Research InstituteWellcome TrustCanadian Institutes of Health ResearchWellcome
KeywordsGenome-wide association studyLongitudinal studyDemographyLongitudinal dataBiologyMedicineGeneticsSingle-nucleotide polymorphismGenotype

Abstract

fetched live from OpenAlex

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.046
GPT teacher head0.355
Teacher spread0.309 · 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 designObservational
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

Citations164
Published2019
Admission routes1
Has abstractyes

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