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Archival, demographic and genetic studies define a Sardinian sub-isolate as a suitable model for mapping complex
A Angius1, P M Melis, L Morelli
1Istituto di Genetica Molecolare, CNR, Casella Postale, 07040 S. Maria La Palma, Alghero (Sassari) Italy.
Human Genetics
|August 21, 2001
Summary
Genetic isolates like the Sardinian village of Talana are valuable for mapping complex traits. Historical and genetic data reveal a small founding population, ideal for identifying disease-related genetic regions.
Area of Science:
- Population Genetics
- Human Genetics
- Complex Trait Mapping
Background:
- Genetic isolates offer unique advantages for genetic trait mapping.
- However, not all isolates possess the ideal characteristics for such studies.
- The Talana village in Sardinia, a genetic and cultural isolate, was chosen for its suitability.
Purpose of the Study:
- To evaluate the suitability of the Talana population for complex trait mapping.
- To reconstruct the demographic and genealogical history of the village.
- To determine the extent of genetic linkage disequilibrium (LD) and identify ancestral lineages.
Main Methods:
- Reconstruction of village genealogy using historical and archival data.
- Analysis of Y chromosome and mitochondrial DNA for lineage and founder identification.
- Microsatellite analysis in chromosomal region Xq13.3 to assess linkage disequilibrium (LD).
Main Results:
- Reconstructed genealogy confirmed by genetic analyses, indicating fewer founders than initially predicted.
- Approximately 80% of the current population descends from 8 paternal and 11 maternal ancestral lineages.
- Linkage disequilibrium (LD) spans an average of 5 Mb in region Xq13.3.
Conclusions:
- The Talana population is a suitable resource for complex trait mapping due to its isolated nature and defined genetic structure.
- The findings suggest the potential for genome-wide association studies using low-density marker maps to identify regions linked to complex traits.
- Integrating historical, genealogical, and genetic data is crucial for effective population-based genetic studies.