Cargando…
An Assessment of the Individual and Collective Effects of Variants on Height Using Twins and a Developmentally Informative Study Design
In a sample of 3,187 twins and 3,294 of their parents, we sought to investigate association of both individual variants and a genotype-based height score involving 176 of the 180 common genetic variants with adult height identified recently by the GIANT consortium. First, longitudinal observations o...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3234218/ https://www.ncbi.nlm.nih.gov/pubmed/22174699 http://dx.doi.org/10.1371/journal.pgen.1002413 |
_version_ | 1782218486427156480 |
---|---|
author | Vrieze, Scott I. McGue, Matt Miller, Michael B. Legrand, Lisa N. Schork, Nicholas J. Iacono, William G. |
author_facet | Vrieze, Scott I. McGue, Matt Miller, Michael B. Legrand, Lisa N. Schork, Nicholas J. Iacono, William G. |
author_sort | Vrieze, Scott I. |
collection | PubMed |
description | In a sample of 3,187 twins and 3,294 of their parents, we sought to investigate association of both individual variants and a genotype-based height score involving 176 of the 180 common genetic variants with adult height identified recently by the GIANT consortium. First, longitudinal observations on height spanning pre-adolescence through adulthood in the twin sample allowed us to investigate the separate effects of the previously identified SNPs on pre-pubertal height and pubertal growth spurt. We show that the effect of SNPs identified by the GIANT consortium is primarily on prepubertal height. Only one SNP, rs7759938 in LIN28B, approached a significant association with pubertal growth. Second, we show how using the twin data to control statistically for environmental variance can provide insight into the ultimate magnitude of SNP effects and consequently the genetic architecture of a phenotype. Specifically, we computed a genetic score by weighting SNPs according to their effects as assessed via meta-analysis. This weighted score accounted for 9.2% of the phenotypic variance in height, but 14.3% of the corresponding genetic variance. Longitudinal samples will be needed to understand the developmental context of common genetic variants identified through GWAS, while genetically informative designs will be helpful in accurately characterizing the extent to which these variants account for genetic, and not just phenotypic, variance. |
format | Online Article Text |
id | pubmed-3234218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-32342182011-12-15 An Assessment of the Individual and Collective Effects of Variants on Height Using Twins and a Developmentally Informative Study Design Vrieze, Scott I. McGue, Matt Miller, Michael B. Legrand, Lisa N. Schork, Nicholas J. Iacono, William G. PLoS Genet Research Article In a sample of 3,187 twins and 3,294 of their parents, we sought to investigate association of both individual variants and a genotype-based height score involving 176 of the 180 common genetic variants with adult height identified recently by the GIANT consortium. First, longitudinal observations on height spanning pre-adolescence through adulthood in the twin sample allowed us to investigate the separate effects of the previously identified SNPs on pre-pubertal height and pubertal growth spurt. We show that the effect of SNPs identified by the GIANT consortium is primarily on prepubertal height. Only one SNP, rs7759938 in LIN28B, approached a significant association with pubertal growth. Second, we show how using the twin data to control statistically for environmental variance can provide insight into the ultimate magnitude of SNP effects and consequently the genetic architecture of a phenotype. Specifically, we computed a genetic score by weighting SNPs according to their effects as assessed via meta-analysis. This weighted score accounted for 9.2% of the phenotypic variance in height, but 14.3% of the corresponding genetic variance. Longitudinal samples will be needed to understand the developmental context of common genetic variants identified through GWAS, while genetically informative designs will be helpful in accurately characterizing the extent to which these variants account for genetic, and not just phenotypic, variance. Public Library of Science 2011-12-08 /pmc/articles/PMC3234218/ /pubmed/22174699 http://dx.doi.org/10.1371/journal.pgen.1002413 Text en Vrieze et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Vrieze, Scott I. McGue, Matt Miller, Michael B. Legrand, Lisa N. Schork, Nicholas J. Iacono, William G. An Assessment of the Individual and Collective Effects of Variants on Height Using Twins and a Developmentally Informative Study Design |
title | An Assessment of the Individual and Collective Effects of Variants on Height Using Twins and a Developmentally Informative Study Design |
title_full | An Assessment of the Individual and Collective Effects of Variants on Height Using Twins and a Developmentally Informative Study Design |
title_fullStr | An Assessment of the Individual and Collective Effects of Variants on Height Using Twins and a Developmentally Informative Study Design |
title_full_unstemmed | An Assessment of the Individual and Collective Effects of Variants on Height Using Twins and a Developmentally Informative Study Design |
title_short | An Assessment of the Individual and Collective Effects of Variants on Height Using Twins and a Developmentally Informative Study Design |
title_sort | assessment of the individual and collective effects of variants on height using twins and a developmentally informative study design |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3234218/ https://www.ncbi.nlm.nih.gov/pubmed/22174699 http://dx.doi.org/10.1371/journal.pgen.1002413 |
work_keys_str_mv | AT vriezescotti anassessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign AT mcguematt anassessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign AT millermichaelb anassessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign AT legrandlisan anassessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign AT schorknicholasj anassessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign AT iaconowilliamg anassessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign AT vriezescotti assessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign AT mcguematt assessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign AT millermichaelb assessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign AT legrandlisan assessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign AT schorknicholasj assessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign AT iaconowilliamg assessmentoftheindividualandcollectiveeffectsofvariantsonheightusingtwinsandadevelopmentallyinformativestudydesign |