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Progress and promise in understanding the genetic basis of common diseases

Susceptibility to common human diseases is influenced by both genetic and environmental factors. The explosive growth of genetic data, and the knowledge that it is generating, are transforming our biological understanding of these diseases. In this review, we describe the technological and analytica...

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Detalles Bibliográficos
Autores principales: Price, Alkes L., Spencer, Chris C. A., Donnelly, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707742/
https://www.ncbi.nlm.nih.gov/pubmed/26702037
http://dx.doi.org/10.1098/rspb.2015.1684
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author Price, Alkes L.
Spencer, Chris C. A.
Donnelly, Peter
author_facet Price, Alkes L.
Spencer, Chris C. A.
Donnelly, Peter
author_sort Price, Alkes L.
collection PubMed
description Susceptibility to common human diseases is influenced by both genetic and environmental factors. The explosive growth of genetic data, and the knowledge that it is generating, are transforming our biological understanding of these diseases. In this review, we describe the technological and analytical advances that have enabled genome-wide association studies to be successful in identifying a large number of genetic variants robustly associated with common disease. We examine the biological insights that these genetic associations are beginning to produce, from functional mechanisms involving individual genes to biological pathways linking associated genes, and the identification of functional annotations, some of which are cell-type-specific, enriched in disease associations. Although most efforts have focused on identifying and interpreting genetic variants that are irrefutably associated with disease, it is increasingly clear that—even at large sample sizes—these represent only the tip of the iceberg of genetic signal, motivating polygenic analyses that consider the effects of genetic variants throughout the genome, including modest effects that are not individually statistically significant. As data from an increasingly large number of diseases and traits are analysed, pleiotropic effects (defined as genetic loci affecting multiple phenotypes) can help integrate our biological understanding. Looking forward, the next generation of population-scale data resources, linking genomic information with health outcomes, will lead to another step-change in our ability to understand, and treat, common diseases.
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spelling pubmed-47077422016-01-26 Progress and promise in understanding the genetic basis of common diseases Price, Alkes L. Spencer, Chris C. A. Donnelly, Peter Proc Biol Sci Special Feature Susceptibility to common human diseases is influenced by both genetic and environmental factors. The explosive growth of genetic data, and the knowledge that it is generating, are transforming our biological understanding of these diseases. In this review, we describe the technological and analytical advances that have enabled genome-wide association studies to be successful in identifying a large number of genetic variants robustly associated with common disease. We examine the biological insights that these genetic associations are beginning to produce, from functional mechanisms involving individual genes to biological pathways linking associated genes, and the identification of functional annotations, some of which are cell-type-specific, enriched in disease associations. Although most efforts have focused on identifying and interpreting genetic variants that are irrefutably associated with disease, it is increasingly clear that—even at large sample sizes—these represent only the tip of the iceberg of genetic signal, motivating polygenic analyses that consider the effects of genetic variants throughout the genome, including modest effects that are not individually statistically significant. As data from an increasingly large number of diseases and traits are analysed, pleiotropic effects (defined as genetic loci affecting multiple phenotypes) can help integrate our biological understanding. Looking forward, the next generation of population-scale data resources, linking genomic information with health outcomes, will lead to another step-change in our ability to understand, and treat, common diseases. The Royal Society 2015-12-22 /pmc/articles/PMC4707742/ /pubmed/26702037 http://dx.doi.org/10.1098/rspb.2015.1684 Text en © 2015 The Authors. http://creativecommons.org/licenses/by/4.0/ © 2015 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Special Feature
Price, Alkes L.
Spencer, Chris C. A.
Donnelly, Peter
Progress and promise in understanding the genetic basis of common diseases
title Progress and promise in understanding the genetic basis of common diseases
title_full Progress and promise in understanding the genetic basis of common diseases
title_fullStr Progress and promise in understanding the genetic basis of common diseases
title_full_unstemmed Progress and promise in understanding the genetic basis of common diseases
title_short Progress and promise in understanding the genetic basis of common diseases
title_sort progress and promise in understanding the genetic basis of common diseases
topic Special Feature
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707742/
https://www.ncbi.nlm.nih.gov/pubmed/26702037
http://dx.doi.org/10.1098/rspb.2015.1684
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