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Physical activity, smoking, and genetic predisposition to obesity in people from Pakistan: the PROMIS study

BACKGROUND: Multiple genetic variants have been reliably associated with obesity-related traits in Europeans, but little is known about their associations and interactions with lifestyle factors in South Asians. METHODS: In 16,157 Pakistani adults (8232 controls; 7925 diagnosed with myocardial infar...

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Detalles Bibliográficos
Autores principales: Ahmad, Shafqat, Zhao, Wei, Renström, Frida, Rasheed, Asif, Samuel, Maria, Zaidi, Mozzam, Shah, Nabi, Mallick, Nadeem Hayyat, Zaman, Khan Shah, Ishaq, Mohammad, Rasheed, Syed Zahed, Memon, Fazal-ur-Rheman, Hanif, Bashir, Lakhani, Muhammad Shakir, Ahmed, Faisal, Kazmi, Shahana Urooj, Frossard, Philippe, Franks, Paul W., Saleheen, Danish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4683724/
https://www.ncbi.nlm.nih.gov/pubmed/26683835
http://dx.doi.org/10.1186/s12881-015-0259-x
Descripción
Sumario:BACKGROUND: Multiple genetic variants have been reliably associated with obesity-related traits in Europeans, but little is known about their associations and interactions with lifestyle factors in South Asians. METHODS: In 16,157 Pakistani adults (8232 controls; 7925 diagnosed with myocardial infarction [MI]) enrolled in the PROMIS Study, we tested whether: a) BMI-associated loci, individually or in aggregate (as a genetic risk score - GRS), are associated with BMI; b) physical activity and smoking modify the association of these loci with BMI. Analyses were adjusted for age, age(2), sex, MI (yes/no), and population substructure. RESULTS: Of 95 SNPs studied here, 73 showed directionally consistent effects on BMI as reported in Europeans. Each additional BMI-raising allele of the GRS was associated with 0.04 (SE = 0.01) kg/m(2) higher BMI (P = 4.5 × 10(−14)). We observed nominal evidence of interactions of CLIP1 rs11583200 (P(interaction) = 0.014), CADM2 rs13078960 (P(interaction) = 0.037) and GALNT10 rs7715256 (P(interaction) = 0.048) with physical activity, and PTBP2 rs11165643 (P(interaction) = 0.045), HIP1 rs1167827 (P(interaction) = 0.015), C6orf106 rs205262 (P(interaction) = 0.032) and GRID1 rs7899106 (P(interaction) = 0.043) with smoking on BMI. CONCLUSIONS: Most BMI-associated loci have directionally consistent effects on BMI in Pakistanis and Europeans. There were suggestive interactions of established BMI-related SNPs with smoking or physical activity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12881-015-0259-x) contains supplementary material, which is available to authorized users.