Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Alaitz Poveda

Postdoctoral fellow

Default user image.

Contribution of obesity associated genetic variants to anthropometric somatotype components

Author

  • María Eugenia Ibáñez-Zamacona
  • Alaitz Poveda
  • Esther Rebato

Summary, in English

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 (p < 0.01) while rs10146997 (in NRXN3) and rs9939609 (in FTO) were associated with mesomorphy (p < 0.01). rs925946 (in BDNF), rs10146997 (in NRXN3), rs9939609 (in FTO) and rs4776970 (in MAP2K5) were associated with ectomorphy (p < 0.05). In conclusion, four genetic variants (in or near BDNF, NRXN3, MAP2K5 and FTO) contribute to body shape and composition in the analysed sample.

Department/s

  • EXODIAB: Excellence in Diabetes Research in Sweden
  • Genetic and Molecular Epidemiology
  • LUBIN Lab- Lund Brain Injury laboratory for Neurosurgical research

Publishing year

2019

Language

English

Pages

101-111

Publication/Series

Anthropologischer Anzeiger

Volume

76

Issue

2

Document type

Journal article

Publisher

E. Schweizerbart Science Publishers

Topic

  • Medical Genetics

Keywords

  • Anthropometric somatotype
  • BMI
  • Genetic variants
  • Obesity
  • SNPs

Status

Published

Research group

  • Genetic and Molecular Epidemiology
  • LUBIN Lab- Lund Brain Injury laboratory for Neurosurgical research

ISBN/ISSN/Other

  • ISSN: 0003-5548