Evidence map›Paper›PMID 35315439›Full record

ArticleNature metabolism2022

Characterization of the genetic architecture of infant and early childhood body mass index.

Øyvind Helgeland, Marc Vaudel, Pol Sole-Navais, Christopher Flatley, Julius Juodakis, Jonas Bacelis, Ingvild L Koløen, Gun Peggy Knudsen, Bente B Johansson, Per Magnus and 8 more

Erratum issuedOpen access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 48 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 4 pooled it
7.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 4 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 6 institutions in 2 countries.

Øyvind Helgeland *Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0002-5612-2985
Marc Vaudel *Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0003-1179-9578
Pol Sole-NavaisDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-3326-266X
Christopher FlatleyDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-2225-0188
Julius JuodakisDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0001-5600-974X
Jonas BacelisDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-2450-732X
Ingvild L KoløenCenter for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0002-5132-5628
Gun Peggy KnudsenNorwegian Institute of Public Health, Oslo, Norway.
Bente B JohanssonCenter for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0001-8893-1915
Per MagnusCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
Ted Reichborn KjennerudDepartment of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway.ORCID http://orcid.org/0000-0003-4653-0034
Petur B JuliussonDepartment of Health Registry Research and Development, National Institute of Public Health, Bergen, Norway.ORCID http://orcid.org/0000-0002-7064-1407
Camilla StoltenbergNorwegian Institute of Public Health, Oslo, Norway.ORCID http://orcid.org/0000-0002-8747-1985
Oddgeir L HolmenHUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Ole A AndreassenNORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-4461-3568
Bo JacobssonDepartment of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway.ORCID http://orcid.org/0000-0001-5079-2374
Pål R NjølstadCenter for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway. pal.njolstad@uib.no.ORCID http://orcid.org/0000-0003-0304-6728
Stefan JohanssonCenter for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway. stefan.johansson@uib.no.ORCID http://orcid.org/0000-0002-2298-7008
Norwegian Institute of Public Health · NOHaukeland University Hospital · NOUniversity of Gothenburg · SEUniversity of Bergen · NONorwegian University of Science and Technology · NOOslo University Hospital · NO

Funding

Gene-Environment Interactions in an Autism Birth CohortU01NS047537 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2003 to 2013
$27.0M
Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009NINDS NIH HHS U01 NS047537
6 · The paper itself

Abstract

Early childhood obesity is a growing global concern; however, the role of common genetic variation on infant and child weight development is unclear. Here, we identify 46 loci associated with early childhood body mass index at specific ages, matching different child growth phases, and representing four major trajectory patterns. We perform genome-wide association studies across 12 time points from birth to 8 years in 28,681 children and their parents (27,088 mothers and 26,239 fathers) in the Norwegian Mother, Father and Child Cohort Study. Monogenic obesity genes are overrepresented near identified loci, and several complex association signals near LEPR, GLP1R, PCSK1 and KLF14 point towards a major influence for common variation affecting the leptin-melanocortin system in early life, providing a link to putative treatment strategies. We also demonstrate how different polygenic risk scores transition from birth to adult profiles through early child growth. In conclusion, our results offer a fine-grained characterization of a changing genetic landscape sustaining early childhood growth.

Indexed as

Pediatric ObesityAdultBody Mass IndexChildChild, PreschoolCohort StudiesFemaleGenome-Wide Association StudyHumansInfantMothers

Identifiers

PMID35315439
OpenAlexW4220988873

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.