Abstract:In summary, we have identified a novel interaction between smoking and variation at the FLJ33534 locus in relation to BMI in people from Pakistan.
“…Although there was no evidence of association between variation at rs1051730 and BMI in never smokers, each additional risk allele (T) was associated with a BMI decrease of 0.16 and 0.33 kg/m 2 among former and current smokers respectively [165]. A separate study of 14131 Pakistani adults reported another gene × smoking interaction: the minor allele (T) in FLJ33534 was associated with lower BMI in current smokers and positively associated with BMI among adults who had never smoked [166]. A number of gene × smoking interactions were identified when African Americans and Caucasians were analysed separately, but no significant interactions were observed in the overall sample from the Southern Community Cohort Study [167].…”
Section: Obesity-predisposing Gene Variants Interact With Smoking Statusmentioning
The worldwide obesity epidemic has been mainly attributed to lifestyle changes. However, who becomes obese in an obesity-prone environment is largely determined by genetic factors. In the last 20 years, important progress has been made in the elucidation of the genetic architecture of obesity. In parallel with successful gene identifications, the number of gene-environment interaction (GEI) studies has grown rapidly. This paper reviews the growing body of evidence supporting gene-environment interactions in the field of obesity. Heritability, monogenic and polygenic obesity studies provide converging evidence that obesity-predisposing genes interact with a variety of environmental, lifestyle and treatment exposures. However, some skepticism remains regarding the validity of these studies based on several issues, which include statistical modelling, confounding, low replication rate, underpowered analyses, biological assumptions and measurement precision. What follows in this review includes (1) an introduction to the study of GEI, (2) the evidence of GEI in the field of obesity, (3) an outline of the biological mechanisms that may explain these interaction effects, (4) methodological challenges associated with GEI studies and potential solutions, and (5) future directions of GEI research. Thus far, this growing body of evidence has provided a deeper understanding of GEI influencing obesity and may have tremendous applications in the emerging field of personalized medicine and individualized lifestyle recommendations.
“…Although there was no evidence of association between variation at rs1051730 and BMI in never smokers, each additional risk allele (T) was associated with a BMI decrease of 0.16 and 0.33 kg/m 2 among former and current smokers respectively [165]. A separate study of 14131 Pakistani adults reported another gene × smoking interaction: the minor allele (T) in FLJ33534 was associated with lower BMI in current smokers and positively associated with BMI among adults who had never smoked [166]. A number of gene × smoking interactions were identified when African Americans and Caucasians were analysed separately, but no significant interactions were observed in the overall sample from the Southern Community Cohort Study [167].…”
Section: Obesity-predisposing Gene Variants Interact With Smoking Statusmentioning
The worldwide obesity epidemic has been mainly attributed to lifestyle changes. However, who becomes obese in an obesity-prone environment is largely determined by genetic factors. In the last 20 years, important progress has been made in the elucidation of the genetic architecture of obesity. In parallel with successful gene identifications, the number of gene-environment interaction (GEI) studies has grown rapidly. This paper reviews the growing body of evidence supporting gene-environment interactions in the field of obesity. Heritability, monogenic and polygenic obesity studies provide converging evidence that obesity-predisposing genes interact with a variety of environmental, lifestyle and treatment exposures. However, some skepticism remains regarding the validity of these studies based on several issues, which include statistical modelling, confounding, low replication rate, underpowered analyses, biological assumptions and measurement precision. What follows in this review includes (1) an introduction to the study of GEI, (2) the evidence of GEI in the field of obesity, (3) an outline of the biological mechanisms that may explain these interaction effects, (4) methodological challenges associated with GEI studies and potential solutions, and (5) future directions of GEI research. Thus far, this growing body of evidence has provided a deeper understanding of GEI influencing obesity and may have tremendous applications in the emerging field of personalized medicine and individualized lifestyle recommendations.
“…Among Asian Indians, Been et al confirmed the association of MC4R (rs12970134) with BMI (134). Genome-wide heterogeneity of variance analysis in 14,131 Pakistani individuals identified an interaction with smoking status and a novel obesity variant in FLJ33534 (rs140133294) on BMI (135). Meta-analysis of 9,881 African-Americans has demonstrated an association between FTO (rs3751812 and rs9941349) and obesity, while two smaller GWAS with individuals of African ancestry provide some evidence of replication of the association between MC4R (rs6567160 and rs17782313) and BMI (136,137).…”
Section: Gwas For Obesity In European and Non-european Populationsmentioning
confidence: 97%
“…When genetic variants in these genes were analysed with regards to environment, a stronger association between FTO , weight and living in an urban environment was found in comparison with those living in a rural environment . A novel interaction between smoking status and the FLJ33534 locus on BMI has recently been reported in a Pakistani population . G × G and G × E interaction remain largely unexplored due to statistical challenges associated with inadequate sample sizes but may explain some of the missing heritability .…”
Section: Polygenic Forms Of Obesity and Ethnic Diversitymentioning
SummaryObesity rates have escalated to the point of a global pandemic with varying prevalence across ethnic groups. These differences are partially explained by lifestyle factors in addition to genetic predisposition to obesity. This review provides a comprehensive examination of the ethnic differences in the genetic architecture of obesity. Using examples from evolution, heritability, admixture, monogenic and polygenic studies of obesity, we provide explanations for ethnic differences in the prevalence of obesity. The debate over definitions of race and ethnicity, the advantages and limitations of multi-ethnic studies and future directions of research are also discussed. Multi-ethnic studies have great potential to provide a better understanding of ethnic differences in the prevalence of obesity that may result in more targeted and personalized obesity treatments.
“…Increased statistical power needed to identify SNPs associated with obesity traits under a recessive mode of inheritance is expected because of the high level of homozygosity in Pakistanis . GWAS for obesity traits have already been reported in South Asian populations . However, conducting a large‐scale genome‐wide association meta‐analysis in more than 100,000 participants of South Asian ancestry is critical to uncover the genetic basis of polygenic obesity in this population, as previously reported in European and East Asian studies .…”
Section: Genetic Elucidation Of Obesity In Pakistani Populationmentioning
confidence: 94%
“…FTO rs9939609 was more strongly associated with weight and BMI in siblings living in urban than rural area of India, an observation made in an independent study in South Asians . In the cross‐sectional PROMIS study, a genome‐wide heterogeneity of variance analysis for BMI was conducted in 14,131 participants . The intronic variant, rs140133294, in the FLJ33544 gene was associated with BMI variance.…”
Section: Genetic Elucidation Of Obesity In Pakistani Populationmentioning
The Pakistani population is extensively diverse, indicating a genetic admixture of European and Central/West Asian migrants with indigenous South Asian gene pools. Pakistanis are organized in different ethnicities/castes based on cultural, linguistic and geographical origin. While Pakistan is facing a rapid nutritional transition, the rising prevalence of obesity is driving a growing burden of health complications and mortality. This represents a unique opportunity for the research community to study the interplay between obesogenic environmental changes and obesity predisposing genes in the time frame of one generation. This review recapitulates the ancestral origins of Pakistani population, the societal determinants of the rise in obesity and its governmental management. We describe the contribution of syndromic, monogenic non-syndromic and polygenic obesity genes identified in the Pakistani population. We then discuss the utility of gene identification approaches based on large consanguineous families and original gene × environment interaction study designs in discovering new obesity genes and causal pathways. Elucidation of the genetic basis of obesity in the Pakistani population may result in improved methods of obesity prevention and treatment globally.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.