Mapping Disease Genes in Outbred Populations
Author Information
Author(s): Hildebrandt Friedhelm, Heeringa Saskia F., Rüschendorf Franz, Attanasio Massimo, Nürnberg Gudrun, Becker Christian, Seelow Dominik, Huebner Norbert, Chernin Gil, Vlangos Christopher N., Zhou Weibin, O'Toole John F., Hoskins Bethan E., Wolf Matthias T. F., Hinkes Bernward G., Chaib Hassan, Ashraf Shazia, Schoeb Dominik S., Ovunc Bugsu, Allen Susan J., Vega-Warner Virginia, Wise Eric, Harville Heather M., Lyons Robert H., Washburn Joseph, MacDonald James, Nürnberg Peter, Otto Edgar A.
Primary Institution: University of Michigan School of Medicine
Hypothesis
Can SNP arrays systematically allow gene identification by homozygosity mapping in single individuals from non-consanguineous populations?
Conclusion
Homozygosity mapping can effectively identify disease-causing mutations in single individuals from outbred populations.
Supporting Evidence
- 93% of cases had the causative gene positioned within a consistent ZLR peak of homozygosity.
- The method allows for the detection of homozygous mutations in single cases from outbred populations.
- Homozygosity mapping can reduce the complexity of gene discovery from thousands of genes to just a few.
- Segments of homozygosity as short as 2 Mb can contain an average of only 16 candidate genes.
- Most pediatric specialty clinics have access to cohorts of individuals from outbred populations.
Takeaway
Scientists found a way to find genes that cause diseases by looking at DNA from people who aren't closely related, which helps them discover new disease genes faster.
Methodology
Total genome homozygosity mapping using 250,000 SNP arrays in individuals with known homozygous mutations.
Potential Biases
Potential bias due to selection of consanguineous kindred.
Limitations
The method may not detect mutations in homozygous segments shorter than 2.1 Mb.
Participant Demographics
72 individuals from 54 families with known homozygous mutations in recessive disease genes.
Statistical Information
P-Value
0.0001
Confidence Interval
95%
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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