Key result
Kindred studies outperform GWAS in identifying large-effect genes across multiple metabolic syndrome traits.
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PURPOSE OF REVIEW: Metabolic syndrome (MetS) is a cluster of interrelated and heritable metabolic traits, which collectively impart unsurpassed risk for atherosclerotic cardiovascular disease and type 2 diabetes. Considerable work has been done to understand the underlying disease mechanisms by elucidating its genetic cause. RECENT FINDINGS: Genome-wide association studies have been widely utilized albeit with modest success in identifying variants that are associated with more than two metabolic traits. Another limitation of this approach is the inherent small effect of the common variants, a major barrier for dissecting their cognate pathways. Modest advances in this venue have been also made by genetic studies of kindreds at the extreme ends of quantitative distributions. These efforts have led to the discovery of a number of disease genes with large effects that underlie the association of diverse traits of this syndrome. SUMMARY: Substantial progress has been made over the last decade in identification of genetic risk factors associated with the various traits of MetS. The heterogeneity and multifactorial heritability of MetS, however, has been a challenge toward understanding the factors underlying the association of these traits. Genetic investigations of outlier kindreds or homogenous populations with high prevalence for the disease can potentially improve our knowledge of the disease pathophysiology.
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Ziki et al. (2016) conducted a review in Metabolic syndrome. Genetic risk factors and variants (GWAS and outlier kindred studies) was evaluated on Association with metabolic syndrome traits. Genome-wide association studies have had modest success in identifying variants associated with more than 2 metabolic traits, while kindred studies have discovered large-effect disease genes.
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