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Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences. Uppsala University, Science for Life Laboratory, SciLifeLab.
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2013 (English)In: Nature Genetics, ISSN 1061-4036, Vol. 45, no 5, 501-U69 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2013. Vol. 45, no 5, 501-U69 p.
National Category
Medical and Health Sciences
URN: urn:nbn:se:uu:diva-200675DOI: 10.1038/ng.2606ISI: 000318158200011OAI: diva2:624801
Available from: 2013-06-03 Created: 2013-06-03 Last updated: 2016-01-25Bibliographically approved

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Gustafsson, StefanJohansson, ÅsaLind, LarsGyllensten, UlfIngelsson, Erik
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Department of Medical SciencesScience for Life Laboratory, SciLifeLabGenomicsUCR-Uppsala Clinical Research CenterCardiovascular epidemiology
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