Evidence map›Paper›PMID 36635383›Full record

ArticleInternational journal of obesity (2005)2023

Genetic regulation of body size and morphology in children: a twin study of 22 anthropometric traits.

Karri Silventoinen, José Maia, Weilong Li, Reijo Sund, Élvio R Gouveia, António Antunes, Gonçalo Marques, Martine Thomis, Aline Jelenkovic, Jaakko Kaprio and 1 more

Open access · hybridFull text readTwin Study
In one paragraph

Article in International journal of obesity (2005), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 5 countries.

Karri SilventoinenPopulation Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland. karri.silventoinen@helsinki.fi.ORCID 0000-0003-1759-3079
José MaiaCenter of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, Porto, Portugal.
Weilong LiPopulation Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.
Reijo SundInstitute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0002-6268-8117
Élvio R GouveiaDepartment of Physical Education and Sport, University of Madeira, Funchal, Portugal.
António AntunesDepartment of Physical Education and Sport, University of Madeira, Funchal, Portugal.ORCID 0000-0002-7532-3053
Gonçalo MarquesDepartment of Physical Education and Sport, University of Madeira, Funchal, Portugal.
Martine ThomisPhysical Activity, Sports & Health Research Group, Department of Movement Sciences, Faculty of Movement and Rehabilitation Sciences, KU Leuven, Leuven, Belgium.ORCID 0000-0001-9093-2191
Aline JelenkovicDepartment of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country, Bilbao, Spain.
Jaakko KaprioInstitute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3716-2455
Duarte FreitasCenter of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, Porto, Portugal.
University of Helsinki · FIUniversidade da Madeira · PTUniversidade do Porto · PTActive Technologies (Italy) · ITKU Leuven · BEUniversity of Eastern Finland · FIUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnthropometric measures show high heritability, and genetic correlations have been found between obesity-related traits. However, we lack a comprehensive analysis of the genetic background of human body morphology using detailed anthropometric measures.

methodsHeight, weight, 7 skinfold thicknesses, 7 body circumferences and 4 body diameters (skeletal breaths) were measured in 214 pairs of twin children aged 3-18 years (87 monozygotic pairs) in the Autonomous Region of Madeira, Portugal. Factor analysis (Varimax rotation) was used to analyze the underlying structure of body physique. Genetic twin modeling was used to estimate genetic and environmental contributions to the variation and co-variation of the anthropometric traits.

resultsTogether, two factors explained 80% of the variation of all 22 anthropometric traits in boys and 73% in girls. Obesity measures (body mass index, skinfold thickness measures, as well as waist and hip circumferences) and limb circumferences loaded most strongly on the first factor, whereas height and body diameters loaded especially on the second factor. These factors as well as all anthropometric measures showed high heritability (80% or more for most of the traits), whereas the rest of the variation was explained by environmental factors not shared by co-twins. Obesity measures showed high genetic correlations (0.75-0.98). Height showed the highest genetic correlations with body diameter measures (0.58-0.76). Correlations between environmental factors not shared by co-twins were weaker than the genetic correlations but still substantial. The correlation patterns were roughly similar in boys and girls.

conclusionsOur results show high genetic correlations underlying the human body physique, suggesting that there are sets of genes widely affecting anthropometric traits. Better knowledge of these genetic variants can help to understand the development of obesity and other features of the human physique.

Indexed as

ObesityTwinsAnthropometryBody Mass IndexBody SizeChildFemaleHumansMaleTwins, DizygoticTwins, Monozygotic

Identifiers

PMID36635383
PMCPMC10023566
OpenAlexW4315706356

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read23
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.