A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape
Netherlands Twin Register (NTR)
Statistical methods
Genome-wide association studies
796
Mice
HEIGHT
Models
Psychology
Body Size
2. Zero hunger
Principal Component Analysis
0303 health sciences
Genome-wide association
Early-onset
VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801
Anthropometry
Mass index
Diet-induced obesity
Q
General medicine, internal medicine and other clinical medicine
Common
gene, body, shape
Multidisciplinary Sciences
Wessex Classification Subject Headings::Endocrinology::Diabetes
statistical methods
Science & Technology - Other Topics
Resource
570
DIET-INDUCED OBESITY
EMC NIHES-01-64-02
Genotype
Science
EARLY-ONSET
610
Snp
BIOLOGY
HIP RATIO
Genome-wide association studies Statistical methods
Article
03 medical and health sciences
MASS INDEX
Genetic
genome-wide associations studies
DISEASE ASSOCIATIONS
RESOURCE
MD Multidisciplinary
Journal Article
Humans
GENOME-WIDE ASSOCIATION
Science & Technology
Models, Genetic
ta1184
Hip ratio
FAT DISTRIBUTION
ta3121
Biomedicine
EMC MM-01-39-09-A
Chemistry (all); Biochemistry, Genetics and Molecular Biology (all); Physics and Astronomy (all)
VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801
Genome-Wide Association Study
DOI:
10.1038/ncomms13357
Publication Date:
2016-11-23T10:39:24Z
AUTHORS (276)
ABSTRACT
AbstractLarge consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (48)
CITATIONS (71)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....