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Fredrik Wiklund

Researcher at Karolinska Institutet

Publications -  267
Citations -  27450

Fredrik Wiklund is an academic researcher from Karolinska Institutet. The author has contributed to research in topics: Prostate cancer & Cancer. The author has an hindex of 71, co-authored 256 publications receiving 24610 citations. Previous affiliations of Fredrik Wiklund include Lund University & Memorial Sloan Kettering Cancer Center.

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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.
Journal ArticleDOI

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.

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Hana Lango Allen, +289 more
TL;DR: In this paper, the authors show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait, revealing patterns with important implications for genetic studies of common human diseases and traits.
Journal ArticleDOI

REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants

Nilah M. Ioannidis, +45 more
TL;DR: This work developed REVEL (rare exome variant ensemble learner), an ensemble method for predicting the pathogenicity of missense variants on the basis of individual tools: MutPred, FATHMM, VEST, PolyPhen, SIFT, PROVEAN, MutationAssessor, LRT, GERP, SiPhy, phyloP, and phastCons.