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Mapping disease-susceptibility genes in admixed populations using interval principal component tests
1Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, No. 1, Jen Ai Rd., Sec. 1, Taipei, Taiwan. wenchung@ha.mc.ntu.edu.tw
Behavior Genetics
|August 21, 2004
Summary
This study introduces the interval principal component test (IPCT) for admixture mapping of complex disease genes. IPCT offers improved performance over traditional methods like the transmission/disequilibrium test (TDT) for identifying disease-susceptibility genes.
Area of Science:
- Genetic Epidemiology
- Human Genetics
- Statistical Genetics
Background:
- Family-based association studies are crucial for mapping disease-susceptibility genes in complex human diseases.
- Admixture between distinct populations creates linkage disequilibrium, useful for reducing genotyping burden in genome-wide association scans.
Purpose of the Study:
- To introduce a novel admixture mapping approach called the interval principal component test (IPCT).
- To evaluate the performance of IPCT compared to conventional methods.
Main Methods:
- The genome is partitioned into non-overlapping intervals (10-20 cM).
- Principal component analysis is employed to integrate marker information within each interval.
- An interval-by-interval scan is performed using IPCT.
Main Results:
- Monte Carlo simulations demonstrate superior performance of IPCT.
- IPCT significantly outperforms the marker-by-marker transmission/disequilibrium test (TDT).
Conclusions:
- The interval principal component test (IPCT) is an effective method for admixture mapping.
- IPCT provides a more powerful approach for identifying disease-susceptibility genes compared to the TDT.