Contribution of obesity associated genetic variants to anthropometric somatotype components.


Journal

Anthropologischer Anzeiger; Bericht uber die biologisch-anthropologische Literatur
ISSN: 0003-5548
Titre abrégé: Anthropol Anz
Pays: Germany
ID NLM: 0372377

Informations de publication

Date de publication:
24 Jun 2019
Historique:
received: 10 10 2018
revised: 24 01 2019
accepted: 04 02 2019
pubmed: 26 3 2019
medline: 27 8 2019
entrez: 26 3 2019
Statut: ppublish

Résumé

The somatotype is a useful method in the analysis of body morphology but no study has identified genetic variants associated with its components. The aim of this study is o replicate the association of 21 SNPs with obesity and to explore their association with the somatotype components, in a sample from the Basque Country (Spain). A case-control study was performed in 472 adults from 18 to 79 years old. A literature search was conducted in PubMed to select genetic variants associated with obesity in European derived populations. After the quality control of the chosen variants, 21 SNPs were finally used to conduct association analyses. Logistic and linear regressions implemented in PLINK (v1.07) were used to assess the association between SNPs and the somatotype. Two genetic variants (rs925946 in BDNF and rs10146997 in NRXN3) showed a significant association with endomorphy (

Identifiants

pubmed: 30907917
doi: 10.1127/anthranz/2019/0945
doi:

Substances chimiques

Brain-Derived Neurotrophic Factor 0
Nerve Tissue Proteins 0
neurexin IIIalpha 0
BDNF protein, human 7171WSG8A2
Alpha-Ketoglutarate-Dependent Dioxygenase FTO EC 1.14.11.33
FTO protein, human EC 1.14.11.33

Types de publication

Journal Article

Langues

eng

Pagination

101-111

Auteurs

María Eugenia Ibáñez-Zamacona (ME)

Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Spain.

Alaitz Poveda (A)

Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Lund University, Malmö, Sweden.

Esther Rebato (E)

Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Spain.

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Classifications MeSH