Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2003;4(10):119.
doi: 10.1186/gb-2003-4-10-119. Epub 2003 Sep 19.

New methods for finding disease-susceptibility genes: impact and potential

Affiliations
Review

New methods for finding disease-susceptibility genes: impact and potential

Mark I McCarthy et al. Genome Biol. 2003.

Abstract

Improved techniques for defining disease-gene location and evaluating the biological candidacy of regional transcripts will hasten disease-gene discovery.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Candidate-gene identification past and present. In the past, the emphasis was on using linkage analysis to direct positional-cloning efforts, and on the application of our limited understanding of disease pathogenesis to select biologically relevant candidate genes. Now, additional techniques are providing new routes to the identification of disease-susceptibility genes. See text for further details.

References

    1. Glazier AM, Nadeau JH, Aitman TJ. Finding genes that underlie complex traits. Science. 2002;298:2345–2349. doi: 10.1126/science.1076641. - DOI - PubMed
    1. Lohmueller KE, Pearce CL, Pike M, Lander ES, Hirschhorn JN. Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease. Nat Genet. 2003;33:177–182. doi: 10.1038/ng1071. - DOI - PubMed
    1. Reich DE, Lander ES. On the allelic spectrum of human disease. Trends Genet. 2001;17:502–510. doi: 10.1016/S0168-9525(01)02410-6. - DOI - PubMed
    1. Risch N, Merikangas K. The future of genetic studies of complex human diseases. Science. 1996;273:1516–1517. - PubMed
    1. Wang WYS, Cordell HA, Todd JA. Association mapping of complex diseases in linked regions: estimation of genetic effects and feasibility of testing rare variants. Genet Epidemiol. 2003;24:36–43. doi: 10.1002/gepi.10216. - DOI - PubMed

Publication types

MeSH terms