Progress and promise in understanding the genetic basis of common diseases

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Progress and promise in understanding the genetic basis of common diseases

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Title: Progress and promise in understanding the genetic basis of common diseases
Author: Price, Alkes L.; Spencer, Chris C. A.; Donnelly, Peter

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Citation: Price, Alkes L., Chris C. A. Spencer, and Peter Donnelly. 2015. “Progress and promise in understanding the genetic basis of common diseases.” Proceedings of the Royal Society B: Biological Sciences 282 (1821): 20151684. doi:10.1098/rspb.2015.1684. http://dx.doi.org/10.1098/rspb.2015.1684.
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Abstract: 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.
Published Version: doi:10.1098/rspb.2015.1684
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707742/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:24984001
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