Literature DB >> 21429269

From Galton to GWAS: quantitative genetics of human height.

Peter M Visscher1, Brian McEvoy, Jian Yang.   

Abstract

Height has been studied in human genetics since the late 1800s. We review what we have learned about the genetic architecture of this trait from the resemblance between relatives and from genetic marker data. All empirical evidence points towards height being highly polygenic, with many loci contributing to variation in the population and most effect sizes appear to be small. Nevertheless, combining new genetic and genomic technologies with phenotypic measures on height on large samples facilitates new answers to old questions, including the basis of assortative mating in humans, estimation of non-additive genetic variation and partitioning between-cohort phenotypic differences into genetic and non-genetic underlying causes.

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Year:  2010        PMID: 21429269     DOI: 10.1017/S0016672310000571

Source DB:  PubMed          Journal:  Genet Res (Camb)        ISSN: 0016-6723            Impact factor:   1.588


  37 in total

1.  Screening Human Embryos for Polygenic Traits Has Limited Utility.

Authors:  Ehud Karavani; Or Zuk; Danny Zeevi; Nir Barzilai; Nikos C Stefanis; Alex Hatzimanolis; Nikolaos Smyrnis; Dimitrios Avramopoulos; Leonid Kruglyak; Gil Atzmon; Max Lam; Todd Lencz; Shai Carmi
Journal:  Cell       Date:  2019-11-21       Impact factor: 41.582

2.  Cross-tissue and tissue-specific eQTLs: partitioning the heritability of a complex trait.

Authors:  Jason M Torres; Eric R Gamazon; Esteban J Parra; Jennifer E Below; Adan Valladares-Salgado; Niels Wacher; Miguel Cruz; Craig L Hanis; Nancy J Cox
Journal:  Am J Hum Genet       Date:  2014-10-30       Impact factor: 11.025

Review 3.  The quantitative genetics of indirect genetic effects: a selective review of modelling issues.

Authors:  P Bijma
Journal:  Heredity (Edinb)       Date:  2013-03-20       Impact factor: 3.821

Review 4.  Recent progress in the study of the genetics of height.

Authors:  Guillaume Lettre
Journal:  Hum Genet       Date:  2011-02-22       Impact factor: 4.132

Review 5.  Genomic resources for dissecting the role of non-protein coding variation in gene-environment interactions.

Authors:  Daniel Levings; Kirsten E Shaw; Sarah E Lacher
Journal:  Toxicology       Date:  2020-05-22       Impact factor: 4.221

6.  Can Deep Learning Improve Genomic Prediction of Complex Human Traits?

Authors:  Pau Bellot; Gustavo de Los Campos; Miguel Pérez-Enciso
Journal:  Genetics       Date:  2018-08-31       Impact factor: 4.562

7.  Applying Quantitative Genetic Methods to Primate Social Behavior.

Authors:  Gregory E Blomquist; Lauren J N Brent
Journal:  Int J Primatol       Date:  2014-02-01       Impact factor: 2.264

8.  A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank.

Authors:  Junyang Qian; Yosuke Tanigawa; Wenfei Du; Matthew Aguirre; Chris Chang; Robert Tibshirani; Manuel A Rivas; Trevor Hastie
Journal:  PLoS Genet       Date:  2020-10-23       Impact factor: 5.917

9.  The genetic architecture of maize height.

Authors:  Jason A Peiffer; Maria C Romay; Michael A Gore; Sherry A Flint-Garcia; Zhiwu Zhang; Mark J Millard; Candice A C Gardner; Michael D McMullen; James B Holland; Peter J Bradbury; Edward S Buckler
Journal:  Genetics       Date:  2014-02-10       Impact factor: 4.562

Review 10.  Estimation and partition of heritability in human populations using whole-genome analysis methods.

Authors:  Anna A E Vinkhuyzen; Naomi R Wray; Jian Yang; Michael E Goddard; Peter M Visscher
Journal:  Annu Rev Genet       Date:  2013-08-22       Impact factor: 16.830

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