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dc.contributor.authorPrice, Alkes L.en_US
dc.contributor.authorSpencer, Chris C. A.en_US
dc.contributor.authorDonnelly, Peteren_US
dc.date.accessioned2016-02-01T15:46:17Z
dc.date.issued2015en_US
dc.identifier.citationPrice, 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.en
dc.identifier.issn0962-8452en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:24984001
dc.description.abstractSusceptibility 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.en
dc.language.isoen_USen
dc.publisherThe Royal Societyen
dc.relation.isversionofdoi:10.1098/rspb.2015.1684en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707742/pdf/en
dash.licenseLAAen_US
dc.subjectReview Articleen
dc.subjectcommon diseasesen
dc.subjectgenome-wide association studiesen
dc.subjecthuman geneticsen
dc.titleProgress and promise in understanding the genetic basis of common diseasesen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalProceedings of the Royal Society B: Biological Sciencesen
dash.depositing.authorPrice, Alkes L.en_US
dc.date.available2016-02-01T15:46:17Z
dc.identifier.doi10.1098/rspb.2015.1684*
dash.contributor.affiliatedPrice, Alkes


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