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In search of low-frequency and rare variants affecting complex traits

The allelic architecture of complex traits is likely to be underpinned by a combination of multiple common frequency and rare variants. Targeted genotyping arrays and next-generation sequencing technologies at the whole-genome sequencing (WGS) and whole-exome scales (WES) are increasingly employed t...

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Autores principales: Panoutsopoulou, Kalliope, Tachmazidou, Ioanna, Zeggini, Eleftheria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3782074/
https://www.ncbi.nlm.nih.gov/pubmed/23922232
http://dx.doi.org/10.1093/hmg/ddt376
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author Panoutsopoulou, Kalliope
Tachmazidou, Ioanna
Zeggini, Eleftheria
author_facet Panoutsopoulou, Kalliope
Tachmazidou, Ioanna
Zeggini, Eleftheria
author_sort Panoutsopoulou, Kalliope
collection PubMed
description The allelic architecture of complex traits is likely to be underpinned by a combination of multiple common frequency and rare variants. Targeted genotyping arrays and next-generation sequencing technologies at the whole-genome sequencing (WGS) and whole-exome scales (WES) are increasingly employed to access sequence variation across the full minor allele frequency (MAF) spectrum. Different study design strategies that make use of diverse technologies, imputation and sample selection approaches are an active target of development and evaluation efforts. Initial insights into the contribution of rare variants in common diseases and medically relevant quantitative traits point to low-frequency and rare alleles acting either independently or in aggregate and in several cases alongside common variants. Studies conducted in population isolates have been successful in detecting rare variant associations with complex phenotypes. Statistical methodologies that enable the joint analysis of rare variants across regions of the genome continue to evolve with current efforts focusing on incorporating information such as functional annotation, and on the meta-analysis of these burden tests. In addition, population stratification, defining genome-wide statistical significance thresholds and the design of appropriate replication experiments constitute important considerations for the powerful analysis and interpretation of rare variant association studies. Progress in addressing these emerging challenges and the accrual of sufficiently large data sets are poised to help the field of complex trait genetics enter a promising era of discovery.
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spelling pubmed-37820742013-09-24 In search of low-frequency and rare variants affecting complex traits Panoutsopoulou, Kalliope Tachmazidou, Ioanna Zeggini, Eleftheria Hum Mol Genet Reviews The allelic architecture of complex traits is likely to be underpinned by a combination of multiple common frequency and rare variants. Targeted genotyping arrays and next-generation sequencing technologies at the whole-genome sequencing (WGS) and whole-exome scales (WES) are increasingly employed to access sequence variation across the full minor allele frequency (MAF) spectrum. Different study design strategies that make use of diverse technologies, imputation and sample selection approaches are an active target of development and evaluation efforts. Initial insights into the contribution of rare variants in common diseases and medically relevant quantitative traits point to low-frequency and rare alleles acting either independently or in aggregate and in several cases alongside common variants. Studies conducted in population isolates have been successful in detecting rare variant associations with complex phenotypes. Statistical methodologies that enable the joint analysis of rare variants across regions of the genome continue to evolve with current efforts focusing on incorporating information such as functional annotation, and on the meta-analysis of these burden tests. In addition, population stratification, defining genome-wide statistical significance thresholds and the design of appropriate replication experiments constitute important considerations for the powerful analysis and interpretation of rare variant association studies. Progress in addressing these emerging challenges and the accrual of sufficiently large data sets are poised to help the field of complex trait genetics enter a promising era of discovery. Oxford University Press 2013-10-15 2013-08-06 /pmc/articles/PMC3782074/ /pubmed/23922232 http://dx.doi.org/10.1093/hmg/ddt376 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews
Panoutsopoulou, Kalliope
Tachmazidou, Ioanna
Zeggini, Eleftheria
In search of low-frequency and rare variants affecting complex traits
title In search of low-frequency and rare variants affecting complex traits
title_full In search of low-frequency and rare variants affecting complex traits
title_fullStr In search of low-frequency and rare variants affecting complex traits
title_full_unstemmed In search of low-frequency and rare variants affecting complex traits
title_short In search of low-frequency and rare variants affecting complex traits
title_sort in search of low-frequency and rare variants affecting complex traits
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3782074/
https://www.ncbi.nlm.nih.gov/pubmed/23922232
http://dx.doi.org/10.1093/hmg/ddt376
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