A gene-based approach for testing association of rare alleles
- Hongyan Xu(corresponding author),
- Varghese George
Scholary Output:
Contribution to journal
Article
Peer-review
Open access
Sustainable Development Goals
SDG 3 Good Health and Well
Abstract
Rare genetic variants have been shown to be important to the susceptibility of common human diseases. Methods for detecting association of rare genetic variants are drawing much attention. In this report, we applied a gene-based approach to the 200 simulated data sets of unrelated individuals. The test can detect the association of some genes with multiple rare variants.
Publication Information
Output type
Scholary Output:
Contribution to journal
Article
Peer-reviewOriginal language
English (US)Article number
S7Journal (Volume, Issue Number)
BMC Proceedings (Volume 5, Issue SUPPL. 9)Publication milestones
- Published - 2011
Publication status
Published - 2011
ISSN
1753-6561Publication IDs
- Scopus: 82455200351
- PubMed: 22373566
Publication metrics
Metrics
SciVal
FWCI
0.17
SciVal
Author count
2
SciVal
citations
1
SciVal
Paper percentile
34
Fractional count
2
Fractional count
1
Fractional count
2
Fractional count
1
PlumX, opens in new tab
Captures
4
Citation count
1
Funding Details
The work of HX and VG was supported by National Institute of Health grant P01HL069999. The Genetic Analysis Workshops are supported by grant R01GM031575 from the National Institute of General Medical Sciences. This article has been published as part of BMC Proceedings Volume 5 Supplement 9, 2011: Genetic Analysis Workshop 17. The full contents of the supplement are available online at http://www.biomedcentral.com/1753-6561/5?issue=S9.
FundersFunding numbers
NIH
P01HL069999, R01GM031575
NIGMS
-