Contribution of obesity associated genetic variants to anthropometric somatotype components
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...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:addi.ehu.eus:10810/74683 |
| Acceso en línea: | http://hdl.handle.net/10810/74683 |
| Access Level: | acceso abierto |
| Palabra clave: | anthropometric somatotype BMI obesity genetic variants SNPs |
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Contribution of obesity associated genetic variants to anthropometric somatotype componentsIbáñez Pérez-Zamacona, María EugeniaPoveda Zabala, AlaitzRebato Ochoa, Esther Matildeanthropometric somatotypeBMIobesitygenetic variantsSNPsThe 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.Schweizerbart Science Publishers202520252019info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/74683reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://doi.org/10.1127/anthranz/2019/0945info:eu-repo/semantics/openAccess© 2019 E. Schweizerbart Science Publishersoai:addi.ehu.eus:10810/746832026-06-18T09:23:17Z |
| dc.title.none.fl_str_mv |
Contribution of obesity associated genetic variants to anthropometric somatotype components |
| title |
Contribution of obesity associated genetic variants to anthropometric somatotype components |
| spellingShingle |
Contribution of obesity associated genetic variants to anthropometric somatotype components Ibáñez Pérez-Zamacona, María Eugenia anthropometric somatotype BMI obesity genetic variants SNPs |
| title_short |
Contribution of obesity associated genetic variants to anthropometric somatotype components |
| title_full |
Contribution of obesity associated genetic variants to anthropometric somatotype components |
| title_fullStr |
Contribution of obesity associated genetic variants to anthropometric somatotype components |
| title_full_unstemmed |
Contribution of obesity associated genetic variants to anthropometric somatotype components |
| title_sort |
Contribution of obesity associated genetic variants to anthropometric somatotype components |
| dc.creator.none.fl_str_mv |
Ibáñez Pérez-Zamacona, María Eugenia Poveda Zabala, Alaitz Rebato Ochoa, Esther Matilde |
| author |
Ibáñez Pérez-Zamacona, María Eugenia |
| author_facet |
Ibáñez Pérez-Zamacona, María Eugenia Poveda Zabala, Alaitz Rebato Ochoa, Esther Matilde |
| author_role |
author |
| author2 |
Poveda Zabala, Alaitz Rebato Ochoa, Esther Matilde |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
anthropometric somatotype BMI obesity genetic variants SNPs |
| topic |
anthropometric somatotype BMI obesity genetic variants SNPs |
| description |
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. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019 2025 2025 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10810/74683 |
| url |
http://hdl.handle.net/10810/74683 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
https://doi.org/10.1127/anthranz/2019/0945 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess © 2019 E. Schweizerbart Science Publishers |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
© 2019 E. Schweizerbart Science Publishers |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Schweizerbart Science Publishers |
| publisher.none.fl_str_mv |
Schweizerbart Science Publishers |
| dc.source.none.fl_str_mv |
reponame:Addi. Archivo Digital para la Docencia y la Investigación instname:Universidad del País Vasco |
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Universidad del País Vasco |
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Addi. Archivo Digital para la Docencia y la Investigación |
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Addi. Archivo Digital para la Docencia y la Investigación |
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15,811543 |