|
|
| PMID |
|
|
| TITLE |
|
| Harnessing the information contained within genome-wide association studies to improve individual prediction of complex disease risk. |
|
| ABSTRACT |
|
|
| DATE PUBLISHED |
|
|
| HISTORY |
|
| PUBSTATUS |
PUBSTATUSDATE |
| aheadofprint |
2009/06/24 |
| entrez |
2009/06/26 09:00 |
| pubmed |
2009/06/26 09:00 |
| medline |
2009/12/16 06:00 |
|
| AUTHORS |
|
| NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
| Evans DM |
|
|
|
|
Department of Social Medicine, MRC Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK. dave.evans@bristol.ac.uk |
|
| Visscher PM |
|
|
|
|
|
|
| Wray NR |
|
|
|
|
|
|
|
| INVESTIGATORS |
|
|
| JOURNAL |
|
|
| MEDLINE JOURNAL |
|
| MEDLINETA: Hum Mol Genet |
| COUNTRY: England |
| ISSNLINKING: 0964-6906 |
| NLMUNIQUEID: 9208958 |
|
| PUBLICATION TYPE |
|
| PUBLICATIONTYPE TEXT |
| Journal Article |
| Research Support, Non-U.S. Gov't |
|
| COMMENTS AND CORRECTIONS |
|
|
| GRANTS |
|
| GRANTID |
AGENCY |
COUNTRY |
| G0600705 |
Medical Research Council |
United Kingdom |
| G0800582 |
Medical Research Council |
United Kingdom |
|
| GENERAL NOTE |
|
|
| KEYWORDS |
|
|
| MESH HEADINGS |
|
| DESCRIPTORNAME |
QUALIFIERNAME |
| Computational Biology |
|
| Genetic Testing |
|
| Genome, Human |
|
| Genome-Wide Association Study |
methods |
| Humans |
methods |
| Polymorphism, Single Nucleotide |
methods |
| Risk Factors |
methods |
|
| SUPPLEMENTARY MESH |
|
|
| GENE SYMBOLS |
|
|
| CHEMICALS |
|
|
| OTHER ID's |
|
|
|
