Statistical comparison of methods of association mapping with three-way admixture

dc.contributor.authorEcker, Jessica
dc.contributor.authorBrisbin, Abra
dc.date.accessioned2017-02-21T19:13:26Z
dc.date.available2017-02-21T19:13:26Z
dc.date.issued2017-02-21T19:13:26Z
dc.descriptionColor poster with text and graphs.en
dc.description.abstractIdentifying effective treatments for medical conditions can be difficult, because different people respond in different ways to treatments. However, this can be made easier by using genetic association mapping to identify statistical associations between particular genes and traits or illnesses. Incorporating ancestry into association testing has the potential to improve the ability to detect associations.en
dc.description.sponsorshipUniversity of Wisconsin--Eau Claire Office of Research and Sponsored Programsen
dc.identifier.urihttp://digital.library.wisc.edu/1793/75864
dc.language.isoen_USen
dc.relation.ispartofseriesUSGZE AS589;
dc.subjectGenetic association testingen
dc.subjectAncestryen
dc.subjectPostersen
dc.titleStatistical comparison of methods of association mapping with three-way admixtureen
dc.typePresentationen

Files

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
EckerSpr16.pdf
Size:
228.46 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
EckerSpr16.pptx
Size:
304.98 KB
Format:
Unknown data format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.03 KB
Format:
Item-specific license agreed upon to submission
Description: