A genome-wide association scan for asthma in a general Australian population

Date

2008

Authors

Hui, J.
Oka, A.
James, A.
Palmer, L.
Musk, A.
Beilby, J.
Inoko, H.

Editors

Advisors

Journal Title

Journal ISSN

Volume Title

Type:

Journal article

Citation

Human Genetics, 2008; 123(3):297-306

Statement of Responsibility

J. Hui, A. Oka, A. James, L. J. Palmer, A. W. Musk, J. Beilby, H. Inoko

Conference Name

Abstract

To date, almost every chromosome has been implicated in genetic susceptibility to asthma to some degree. When compared with single nucleotide polymorphism, microsatellite markers exhibit high levels of heterozygosity and therefore provide higher statistical power in association. The objective of this study was to perform a genome-wide association study using 23,465 in-house microsatellite markers to detect asthma susceptibility regions in the Busselton population. In this study, three separate pooled DNA screenings yielded 18 markers with significantly different estimated frequencies in the three separate "case and control" pools: each pool consisting of 60 males and 60 females. These markers were evaluated by individual typing in 360 cases and 360 controls. Two markers showed significant differences between cases and controls (P = 0.001 and P = 0.003). Regions surrounding the two markers were subjected to high-density association mapping with a total of 14 additional markers. We were able to confirm and fine map the association in these two regions by typing 14 additional microsatellite markers (1805A09 (D18S0325i), P = 0.002; 1806D05 (D18S0181i), P = 0.001). Each region contains a predicted gene that showed strong associations with asthma. Further studies are underway to characterize the novel candidate asthma susceptibility genes identified in this genome-wide study.

School/Discipline

Dissertation Note

Provenance

Description

Access Status

Rights

© Springer-Verlag 2008

License

Grant ID

Call number

Persistent link to this record