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Another Round of “Clue” to Uncover the Mystery of Complex Traits

A plethora of genetic association analyses have identified several genetic risk loci. Technological and statistical advancements have now led to the identification of not only common genetic variants, but also low-frequency variants, structural variants, and environmental factors, as well as multi-o...

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Autores principales: Verma, Shefali Setia, Ritchie, Marylyn D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852557/
https://www.ncbi.nlm.nih.gov/pubmed/29370075
http://dx.doi.org/10.3390/genes9020061
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author Verma, Shefali Setia
Ritchie, Marylyn D.
author_facet Verma, Shefali Setia
Ritchie, Marylyn D.
author_sort Verma, Shefali Setia
collection PubMed
description A plethora of genetic association analyses have identified several genetic risk loci. Technological and statistical advancements have now led to the identification of not only common genetic variants, but also low-frequency variants, structural variants, and environmental factors, as well as multi-omics variations that affect the phenotypic variance of complex traits in a population, thus referred to as complex trait architecture. The concept of heritability, or the proportion of phenotypic variance due to genetic inheritance, has been studied for several decades, but its application is mainly in addressing the narrow sense heritability (or additive genetic component) from Genome-Wide Association Studies (GWAS). In this commentary, we reflect on our perspective on the complexity of understanding heritability for human traits in comparison to model organisms, highlighting another round of clues beyond GWAS and an alternative approach, investigating these clues comprehensively to help in elucidating the genetic architecture of complex traits.
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spelling pubmed-58525572018-03-19 Another Round of “Clue” to Uncover the Mystery of Complex Traits Verma, Shefali Setia Ritchie, Marylyn D. Genes (Basel) Review A plethora of genetic association analyses have identified several genetic risk loci. Technological and statistical advancements have now led to the identification of not only common genetic variants, but also low-frequency variants, structural variants, and environmental factors, as well as multi-omics variations that affect the phenotypic variance of complex traits in a population, thus referred to as complex trait architecture. The concept of heritability, or the proportion of phenotypic variance due to genetic inheritance, has been studied for several decades, but its application is mainly in addressing the narrow sense heritability (or additive genetic component) from Genome-Wide Association Studies (GWAS). In this commentary, we reflect on our perspective on the complexity of understanding heritability for human traits in comparison to model organisms, highlighting another round of clues beyond GWAS and an alternative approach, investigating these clues comprehensively to help in elucidating the genetic architecture of complex traits. MDPI 2018-01-25 /pmc/articles/PMC5852557/ /pubmed/29370075 http://dx.doi.org/10.3390/genes9020061 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Verma, Shefali Setia
Ritchie, Marylyn D.
Another Round of “Clue” to Uncover the Mystery of Complex Traits
title Another Round of “Clue” to Uncover the Mystery of Complex Traits
title_full Another Round of “Clue” to Uncover the Mystery of Complex Traits
title_fullStr Another Round of “Clue” to Uncover the Mystery of Complex Traits
title_full_unstemmed Another Round of “Clue” to Uncover the Mystery of Complex Traits
title_short Another Round of “Clue” to Uncover the Mystery of Complex Traits
title_sort another round of “clue” to uncover the mystery of complex traits
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852557/
https://www.ncbi.nlm.nih.gov/pubmed/29370075
http://dx.doi.org/10.3390/genes9020061
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