GWAS summary statistics for uric acid in GS:SFHS
Depositor | dc.contributor | Kerr, Shona | |
Funder | dc.contributor.other | MRC - Medical Research Council | en_UK |
Spatial Coverage | dc.coverage.spatial | Scotland | en_UK |
Spatial Coverage | dc.coverage.spatial | UK | en |
Spatial Coverage | dc.coverage.spatial | UNITED KINGDOM | en |
Data Creator | dc.creator | Marten, Jonathan | |
Data Creator | dc.creator | Vitart, Veronique | |
Data Creator | dc.creator | Hayward, Caroline | |
Date Accessioned | dc.date.accessioned | 2017-08-31T09:24:29Z | |
Date Available | dc.date.available | 2017-08-31T09:24:29Z | |
Citation | dc.identifier.citation | Marten, Jonathan; Vitart, Veronique; Hayward, Caroline. (2017). GWAS summary statistics for uric acid in GS:SFHS, [dataset]. University of Edinburgh, MRC Human Genetics Unit. https://doi.org/10.7488/ds/2125. | en |
Persistent Identifier | dc.identifier.uri | https://hdl.handle.net/10283/2802 | |
Persistent Identifier | dc.identifier.uri | https://doi.org/10.7488/ds/2125 | |
Dataset Description (abstract) | dc.description.abstract | The Generation Scotland: Scottish Family Health Study (GS:SFHS) is a family-based population cohort with DNA, biological samples, socio-demographic, psychological and clinical data from ~24,000 adult volunteers across Scotland. Although data collection was cross-sectional, GS:SFHS became a prospective cohort due to the ability to link to routine Electronic Health Record (EHR) data. Over 20,000 participants were selected for genotyping using a genome-wide array. Genome-wide association studies (GWAS) were used to test the effects of variants on the uric acid phenotype from the EHR. Results replicated a known association and the dataset contains genome-wide association summary statistics for this project. | en_UK |
Language | dc.language.iso | eng | en_UK |
Publisher | dc.publisher | University of Edinburgh, MRC Human Genetics Unit | en_UK |
Relation (Is Referenced By) | dc.relation.isreferencedby | https://doi.org/10.12688/wellcomeopenres.12600.1 | |
Rights | dc.rights | Creative Commons Attribution 4.0 International Public License | en |
Subject | dc.subject | Electronic Health Record (EHR) | en_UK |
Subject | dc.subject | Uric acid | en_UK |
Subject | dc.subject | GWAS | en_UK |
Subject | dc.subject | Genetics | en_UK |
Subject Classification | dc.subject.classification | Biological Sciences::Genetics | en_UK |
Title | dc.title | GWAS summary statistics for uric acid in GS:SFHS | en_UK |
Type | dc.type | dataset | en_UK |
zip file MD5 Checksum:
3f842a19d68ee0f87beb9157a51b41ff
Files in this item
This item appears in the following Collection(s)
-
Quantitative Trait Locus (QTL) Identification
Research Programme: Quantitative Trait Locus (QTL) Identification