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| PMID |
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| TITLE |
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| SECA: SNP effect concordance analysis using genome-wide association summary results. |
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| ABSTRACT |
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| UNLABELLED |
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| The genomics era provides opportunities to assess the genetic overlap across phenotypes at the measured genotype level; however, current approaches require individual-level genome-wide association (GWA) single nucleotide polymorphism (SNP) genotype data in one or both of a pair of GWA samples. To facilitate the discovery of pleiotropic effects and examine genetic overlap across two phenotypes, I have developed a user-friendly web-based application called SECA to perform SNP effect concordance analysis using GWA summary results. The method is validated using publicly available summary data from the Psychiatric Genomics Consortium. |
| AVAILABILITY AND IMPLEMENTATION |
NlmCategory: METHODS |
| http://neurogenetics.qimrberghofer.edu.au/SECA. |
| © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com. |
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| DATE PUBLISHED |
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| HISTORY |
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| PUBSTATUS |
PUBSTATUSDATE |
| aheadofprint |
2014/04/01 |
| entrez |
2014/04/04 06:00 |
| pubmed |
2014/04/04 06:00 |
| medline |
2014/09/19 06:00 |
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| AUTHORS |
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| NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
| Nyholt DR |
|
Nyholt |
Dale R |
DR |
|
Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane 4000, Queensland, Australia. |
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| INVESTIGATORS |
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| JOURNAL |
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| VOLUME: 30 |
| ISSUE: 14 |
| TITLE: Bioinformatics (Oxford, England) |
| ISOABBREVIATION: Bioinformatics |
| YEAR: 2014 |
| MONTH: Jul |
| DAY: 15 |
| MEDLINEDATE: |
| SEASON: |
| CITEDMEDIUM: Internet |
| ISSN: 1367-4811 |
| ISSNTYPE: Electronic |
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| MEDLINE JOURNAL |
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| MEDLINETA: Bioinformatics |
| COUNTRY: England |
| ISSNLINKING: 1367-4803 |
| NLMUNIQUEID: 9808944 |
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| PUBLICATION TYPE |
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| PUBLICATIONTYPE TEXT |
| Journal Article |
| Research Support, Non-U.S. Gov't |
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| COMMENTS AND CORRECTIONS |
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| GRANTS |
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| GENERAL NOTE |
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| KEYWORDS |
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| MESH HEADINGS |
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| DESCRIPTORNAME |
QUALIFIERNAME |
| Genome-Wide Association Study |
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| Genomics |
methods |
| Genotype |
methods |
| Humans |
methods |
| Internet |
methods |
| Phenotype |
methods |
| Polymorphism, Single Nucleotide |
methods |
| Software |
methods |
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| SUPPLEMENTARY MESH |
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| GENE SYMBOLS |
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| CHEMICALS |
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| OTHER ID's |
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