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Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry
- Source :
- Human Molecular Genetics
- Publication Year :
- 2018
- Publisher :
- Oxford University Press, 2018.
-
Abstract
- More than one in three adults worldwide is either overweight or obese. Epidemiological studies indicate that the location and distribution of excess fat, rather than general adiposity, are more informative for predicting risk of obesity sequelae, including cardiometabolic disease and cancer. We performed a genome-wide association study meta-analysis of body fat distribution, measured by waist-to-hip ratio (WHR) adjusted for body mass index (WHRadjBMI), and identified 463 signals in 346 loci. Heritability and variant effects were generally stronger in women than men, and we found approximately one-third of all signals to be sexually dimorphic. The 5% of individuals carrying the most WHRadjBMI-increasing alleles were 1.62 times more likely than the bottom 5% to have a WHR above the thresholds used for metabolic syndrome. These data, made publicly available, will inform the biology of body fat distribution and its relationship with disease.
- Subjects :
- 0301 basic medicine
Adult
Male
Single-nucleotide polymorphism
Genome-wide association study
Biology
Overweight
Polymorphism, Single Nucleotide
White People
Body Mass Index
03 medical and health sciences
0302 clinical medicine
Waist–hip ratio
Gene Frequency
Genetics
medicine
Body Fat Distribution
Humans
Genetic Predisposition to Disease
Obesity
Association Studies Article
Molecular Biology
Genetics (clinical)
Alleles
Adiposity
2. Zero hunger
Waist-Hip Ratio
General Medicine
Heritability
medicine.disease
3. Good health
030104 developmental biology
Adipose Tissue
030220 oncology & carcinogenesis
Female
Metabolic syndrome
medicine.symptom
Body mass index
Demography
Genome-Wide Association Study
Subjects
Details
- Language :
- English
- ISSN :
- 14602083 and 09646906
- Volume :
- 28
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Human Molecular Genetics
- Accession number :
- edsair.doi.dedup.....5d53eb756a315eacb7f040295a80539b