title: Genetic & epigenetic approach to human obesity.
abstract: Obesity is an important clinical and public health challenge, epitomized by excess adipose tissue accumulation resulting from an imbalance in energy intake and energy expenditure. It is a forerunner for a variety of other diseases such as type-2-diabetes (T2D), cardiovascular diseases, some types of cancer, stroke, hyperlipidaemia and can be fatal leading to premature death. Obesity is highly heritable and arises from the interplay of multiple genes and environmental factors. Recent advancements in Genome-wide association studies (GWAS) have shown important steps towards identifying genetic risks and identification of genetic markers for lifestyle diseases, especially for a metabolic disorder like obesity. According to the 12th Update of Human Obesity Gene Map there are 253 quantity trait loci (QTL) for obesity related phenotypes from 61 genome wide scan studies. Contribution of genetic propensity of individual ethnic and racial variations in obesity is an active area of research. Further, understanding its complexity as to how these variations could influence ones susceptibility to become or remain obese will lead us to a greater understanding of how obesity occurs and hopefully, how to prevent and treat this condition. In this review, various strategies adapted for such an analysis based on the recent advances in genome wide and functional variations in human obesity are discussed.
authors.forename: K Rajender
authors.initials: KR
authors.lastname: Rao
authors.forename: Nirupama
authors.initials: N
authors.lastname: Lal
authors.affiliation: National Center for Laboratory Animal Sciences & National Institute of Nutrition (ICMR), Hyderabad, India.
authors.forename: N V
authors.initials: NV
authors.lastname: Giridharan
mesh_terms: D003924:Diabetes Mellitus, Type 2 / Q000235:genetics / Q000473:pathology; D044127:Epigenesis, Genetic; D020022:Genetic Predisposition to Disease; D055106:Genome-Wide Association Study; D006801:Humans; D006949:Hyperlipidemias / Q000235:genetics / Q000378:metabolism / Q000473:pathology; D008928:Mitochondria / Q000235:genetics* / Q000378:metabolism; D009765:Obesity / Q000235:genetics* / Q000378:metabolism / Q000473:pathology