Literature DB >> 21396572

Genome-wide association approaches for identifying loci for human height genes.

Markus Perola1.   

Abstract

Human height is a very heritable trait as most of other human anthropometric traits. Genome-wide association studies have thus far identified about 200 genes associated with height with a genome-wide significance. Very large meta-analyses were needed to achieve this. These 200 height genes are involved in various biologically plausible pathways for growth, but yet explain only 10% of the variance in height. So it is obvious, that the GIANT-consortium height meta-analysis leaves, as most of GWA studies, a major part of the genetic variation unexplained. Much work utilizing several different strategies and very large study cohorts are needed to identify more genes for growth.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21396572     DOI: 10.1016/j.beem.2010.10.013

Source DB:  PubMed          Journal:  Best Pract Res Clin Endocrinol Metab        ISSN: 1521-690X            Impact factor:   4.690


  5 in total

1.  A brief note on the resemblance between relatives in the presence of population stratification.

Authors:  R Sebro; N J Risch
Journal:  Heredity (Edinb)       Date:  2012-01-11       Impact factor: 3.821

Review 2.  Natural history collections as windows on evolutionary processes.

Authors:  Michael W Holmes; Talisin T Hammond; Guinevere O U Wogan; Rachel E Walsh; Katie LaBarbera; Elizabeth A Wommack; Felipe M Martins; Jeremy C Crawford; Katya L Mack; Luke M Bloch; Michael W Nachman
Journal:  Mol Ecol       Date:  2016-02       Impact factor: 6.185

3.  The insulin-like growth factor 1 receptor (IGF1R) contributes to reduced size in dogs.

Authors:  Barbara C Hoopes; Maud Rimbault; David Liebers; Elaine A Ostrander; Nathan B Sutter
Journal:  Mamm Genome       Date:  2012-08-18       Impact factor: 2.957

4.  Region-based association analysis of human quantitative traits in related individuals.

Authors:  Nadezhda M Belonogova; Gulnara R Svishcheva; Cornelia M van Duijn; Yurii S Aulchenko; Tatiana I Axenovich
Journal:  PLoS One       Date:  2013-06-17       Impact factor: 3.240

5.  Four loci explain 83% of size variation in the horse.

Authors:  Shokouh Makvandi-Nejad; Gabriel E Hoffman; Jeremy J Allen; Erin Chu; Esther Gu; Alyssa M Chandler; Ariel I Loredo; Rebecca R Bellone; Jason G Mezey; Samantha A Brooks; Nathan B Sutter
Journal:  PLoS One       Date:  2012-07-11       Impact factor: 3.240

  5 in total

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