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.
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