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Keri L. Monda

Researcher at Amgen

Publications -  121
Citations -  24040

Keri L. Monda is an academic researcher from Amgen. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 45, co-authored 118 publications receiving 22346 citations. Previous affiliations of Keri L. Monda include University of Alabama at Birmingham & University of Iceland.

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Genetic studies of body mass index yield new insights for obesity biology

Adam E. Locke, +481 more
TL;DR: This paper conducted a genome-wide association study and meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals.
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Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes, +413 more
- 01 Nov 2010 - 
TL;DR: Genetic loci associated with body mass index map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor, which may provide new insights into human body weight regulation.

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes, +374 more
TL;DR: 18 new loci associated with body mass index are identified, one of which includes a copy number variant near GPRC5B, and genes in other newly associated loci may provide new insights into human body weight regulation.
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Defining the role of common variation in the genomic and biological architecture of adult human height

Andrew R. Wood, +444 more
- 01 Nov 2014 - 
TL;DR: This article identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height, and all common variants together captured 60% of heritability.
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Hundreds of variants clustered in genomic loci and biological pathways affect human height

Hana Lango Allen, +344 more
- 14 Oct 2010 - 
TL;DR: It is shown that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait, and indicates that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.