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Plos Genetics : Meta-analysis of Genome-wide Scans for Human Adult Stature Identifies Novel Loci and Associations with Measures of Skeletal Frame Size, Volume 5

By Visscher, Peter M.

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Book Id: WPLBN0003927823
Format Type: PDF eBook :
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Reproduction Date: 2015

Title: Plos Genetics : Meta-analysis of Genome-wide Scans for Human Adult Stature Identifies Novel Loci and Associations with Measures of Skeletal Frame Size, Volume 5  
Author: Visscher, Peter M.
Volume: Volume 5
Language: English
Subject: Journals, Science, Genetics
Collections: Periodicals: Journal and Magazine Collection (Contemporary), PLoS Genetics
Historic
Publication Date:
Publisher: Plos

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Visscher, P. M. (n.d.). Plos Genetics : Meta-analysis of Genome-wide Scans for Human Adult Stature Identifies Novel Loci and Associations with Measures of Skeletal Frame Size, Volume 5. Retrieved from http://worldlibrary.org/


Description
Description : Recent genome-wide (GW) scans have identified several independent loci affecting human stature, but their contribution through the different skeletal components of height is still poorly understood. We carried out a genome-wide scan in 12,611 participants, followed by replication in an additional 7,187 individuals, and identified 17 genomic regions with GWsignificant association with height. Of these, two are entirely novel (rs11809207 in CATSPER4, combined P-value = 6.161028 and rs910316 in TMED10, P-value = 1.461027) and two had previously been described with weak statistical support (rs10472828 in NPR3, P-value = 361027 and rs849141 in JAZF1, P-value = 3.2610211). One locus (rs1182188 at GNA12) identifies the first height eQTL. We also assessed the contribution of height loci to the upper- (trunk) and lower-body (hip axis and femur) skeletal components of height. We find evidence for several loci associated with trunk length (including rs6570507 in GPR126, P-value = 461025 and rs6817306 in LCORL, P-value = 461024), hip axis length (including rs6830062 at LCORL, P-value = 4.861024 and rs4911494 at UQCC, P-value = 1.961024), and femur length (including rs710841 at PRKG2, Pvalue = 2.461025 and rs10946808 at HIST1H1D, P-value = 6.461026). Finally, we used conditional analyses to explore a possible differential contribution of the height loci to these different skeletal size measurements. In addition to validating four novel loci controlling adult stature, our study represents the first effort to assess the contribution of genetic loci to three skeletal components of height. Further statistical tests in larger numbers of individuals will be required to verify if the height loci affect height preferentially through these subcomponents of height.

 

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