Unknown

Dataset Information

0

The genetics of obesity and the metabolic syndrome.


ABSTRACT: In this review, we discuss the genetic architecture of obesity and the metabolic syndrome, highlighting recent advances in identifying genetic variants and loci responsible for a portion of the variation in components of the metabolic syndrome, namely, adiposity traits, serum HDL and triglycerides, blood pressure, and glycemic traits. We focus particularly on recent progress from large-scale genome-wide association studies (GWAS), by detailing their successes and how lessons learned can pave the way for future discovery. Results from recent GWAS coalesce with earlier work suggesting numerous interconnections between obesity and the metabolic syndrome, developed through several potentially pleiotropic effects. We detail recent work by way of a case study on the cadherin 13 gene and its relation with adiponectin in the HyperGEN and the Framingham Heart Studies, and its association with obesity and the metabolic syndrome. We provide also a gene network analysis of recent variants related to obesity and metabolic syndrome discovered through genome-wide association studies, and 4 gene networks based on searching the NCBI database.

SUBMITTER: Monda KL 

PROVIDER: S-EPMC5502543 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

The genetics of obesity and the metabolic syndrome.

Monda Keri L KL   North Kari E KE   Hunt Steven C SC   Rao D C DC   Province Michael A MA   Kraja Aldi T AT  

Endocrine, metabolic & immune disorders drug targets 20100601 2


In this review, we discuss the genetic architecture of obesity and the metabolic syndrome, highlighting recent advances in identifying genetic variants and loci responsible for a portion of the variation in components of the metabolic syndrome, namely, adiposity traits, serum HDL and triglycerides, blood pressure, and glycemic traits. We focus particularly on recent progress from large-scale genome-wide association studies (GWAS), by detailing their successes and how lessons learned can pave the  ...[more]

Similar Datasets

| S-EPMC4570502 | biostudies-literature
| S-EPMC3295590 | biostudies-literature
| S-EPMC3530232 | biostudies-literature
| S-EPMC4911377 | biostudies-literature
| S-EPMC7816264 | biostudies-literature
| S-EPMC7432525 | biostudies-literature
| S-EPMC4159616 | biostudies-literature
| S-EPMC5716578 | biostudies-literature
| S-EPMC1693743 | biostudies-literature
2022-07-21 | PXD035512 | iProX