Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.
Nat Genet
; 45(5): 501-12, 2013 May.
Article
in En
| MEDLINE
| ID: mdl-23563607
Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Body Height
/
Anthropometry
/
Genetic Predisposition to Disease
/
Polymorphism, Single Nucleotide
/
Quantitative Trait Loci
/
Genome-Wide Association Study
/
Obesity
Type of study:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
/
Systematic_reviews
Limits:
Humans
Language:
En
Journal:
Nat Genet
Journal subject:
GENETICA MEDICA
Year:
2013
Document type:
Article
Affiliation country:
United States
Country of publication:
United States