Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis

Abstract Obesity is an outcome of multiple factors including environmental and genetic influences. Common obesity is a polygenic trait indicating that multiple genetic variants act synergistically to influence its expression. We constructed a genetic risk score (GRS) based on five genetic variants (...

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Autores principales:	Sobia Rana, Adil Anwar Bhatti
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/eb8a6b310e654a85b57e51615372e8e1
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spelling	oai:doaj.org-article:eb8a6b310e654a85b57e51615372e8e12021-12-02T14:27:53ZPredicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis10.1038/s41598-021-87702-02045-2322https://doaj.org/article/eb8a6b310e654a85b57e51615372e8e12021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87702-0https://doaj.org/toc/2045-2322Abstract Obesity is an outcome of multiple factors including environmental and genetic influences. Common obesity is a polygenic trait indicating that multiple genetic variants act synergistically to influence its expression. We constructed a genetic risk score (GRS) based on five genetic variants (MC4R rs17782313, BDNF rs6265, FTO rs1421085, TMEM18 rs7561317, and NEGR1 rs2815752) and examined its association with obesity-related traits in a sample of Pakistanis. The study involved 306 overweight/obese (OW/OB) and 300 normal-weight (NW) individuals. The age range of the study participants was 12–63 years. All anthropometric and metabolic parameters were measured for each participant via standard procedures and biochemical assays, respectively. The genetic variants were genotyped by allelic discrimination assays. The age- and gender-adjusted associations between the GRS and obesity-related anthropometric and metabolic measures were determined using linear regression analyses. The results showed that OW/OB individuals had significantly higher mean ranks of GRS than NW individuals. Moreover, a significant association of the GRS with obesity-related anthropometric traits was seen. However, the GRS did not appear to affect any obesity-related metabolic parameter. In conclusion, our findings indicate the combined effect of multiple genetic variants on the obesity-related anthropometric phenotypes in Pakistanis.Sobia RanaAdil Anwar BhattiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sobia Rana Adil Anwar Bhatti Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis
description	Abstract Obesity is an outcome of multiple factors including environmental and genetic influences. Common obesity is a polygenic trait indicating that multiple genetic variants act synergistically to influence its expression. We constructed a genetic risk score (GRS) based on five genetic variants (MC4R rs17782313, BDNF rs6265, FTO rs1421085, TMEM18 rs7561317, and NEGR1 rs2815752) and examined its association with obesity-related traits in a sample of Pakistanis. The study involved 306 overweight/obese (OW/OB) and 300 normal-weight (NW) individuals. The age range of the study participants was 12–63 years. All anthropometric and metabolic parameters were measured for each participant via standard procedures and biochemical assays, respectively. The genetic variants were genotyped by allelic discrimination assays. The age- and gender-adjusted associations between the GRS and obesity-related anthropometric and metabolic measures were determined using linear regression analyses. The results showed that OW/OB individuals had significantly higher mean ranks of GRS than NW individuals. Moreover, a significant association of the GRS with obesity-related anthropometric traits was seen. However, the GRS did not appear to affect any obesity-related metabolic parameter. In conclusion, our findings indicate the combined effect of multiple genetic variants on the obesity-related anthropometric phenotypes in Pakistanis.
format	article
author	Sobia Rana Adil Anwar Bhatti
author_facet	Sobia Rana Adil Anwar Bhatti
author_sort	Sobia Rana
title	Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis
title_short	Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis
title_full	Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis
title_fullStr	Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis
title_full_unstemmed	Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis
title_sort	predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of pakistanis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/eb8a6b310e654a85b57e51615372e8e1
work_keys_str_mv	AT sobiarana predictinganthropometricandmetabolictraitswithageneticriskscoreforobesityinasampleofpakistanis AT adilanwarbhatti predictinganthropometricandmetabolictraitswithageneticriskscoreforobesityinasampleofpakistanis
_version_	1718391284763197440

Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis

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