Please use this identifier to cite or link to this item:
https://ahro.austin.org.au/austinjspui/handle/1/21885
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Povysil, Gundula | - |
dc.contributor.author | Petrovski, Slavé | - |
dc.contributor.author | Hostyk, Joseph | - |
dc.contributor.author | Aggarwal, Vimla | - |
dc.contributor.author | Allen, Andrew S | - |
dc.contributor.author | Goldstein, David B | - |
dc.date | 2019-10-11 | - |
dc.date.accessioned | 2019-10-14T04:15:37Z | - |
dc.date.available | 2019-10-14T04:15:37Z | - |
dc.date.issued | 2019-10-11 | - |
dc.identifier.citation | Nature reviews. Genetics 2019; 20(12): 747-759 | - |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/21885 | - |
dc.description.abstract | The first phase of genome-wide association studies (GWAS) assessed the role of common variation in human disease. Advances optimizing and economizing high-throughput sequencing have enabled a second phase of association studies that assess the contribution of rare variation to complex disease in all protein-coding genes. Unlike the early microarray-based studies, sequencing-based studies catalogue the full range of genetic variation, including the evolutionarily youngest forms. Although the experience with common variants helped establish relevant standards for genome-wide studies, the analysis of rare variation introduces several challenges that require novel analysis approaches. | - |
dc.language.iso | eng | - |
dc.title | Rare-variant collapsing analyses for complex traits: guidelines and applications. | - |
dc.type | Journal Article | - |
dc.identifier.journaltitle | Nature reviews. Genetics | - |
dc.identifier.affiliation | Institute for Genomic Medicine, Columbia University Irving Medical Center, Columbia University, New York, NY, USA | - |
dc.identifier.affiliation | Department of Medicine, The University of Melbourne, Royal Melbourne Hospital, Melbourne, Victoria, Australia | en |
dc.identifier.affiliation | Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK | en |
dc.identifier.affiliation | Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA | - |
dc.identifier.affiliation | Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia | - |
dc.identifier.doi | 10.1038/s41576-019-0177-4 | - |
dc.identifier.orcid | 0000-0002-1527-961X | - |
dc.identifier.orcid | 0000-0001-7016-7218 | - |
dc.identifier.orcid | 0000-0002-1111-2820 | - |
dc.identifier.pubmedid | 31605095 | - |
dc.type.austin | Journal Article | - |
dc.type.austin | Review | - |
item.openairetype | Journal Article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
Appears in Collections: | Journal articles |
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