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Mapping quantitative trait loci with extreme discordant sib pairs: sampling considerations
1Department of Genetics, Stanford University School of Medicine, Stanford, California 94305-5120, USA.
American Journal of Human Genetics
|April 1, 1996
Summary
Extreme discordant sib pairs (EDSPs) offer a powerful design for mapping quantitative trait loci. This study details the sample sizes and screening numbers needed, finding EDSPs can detect genetic effects explaining 10% of trait variance.
Area of Science:
- Human genetics
- Statistical genetics
- Genomic research
Background:
- Quantitative trait loci (QTL) mapping is crucial for understanding genetic contributions to complex traits.
- Extreme discordant sib pairs (EDSPs) have been proposed as a powerful design for human QTL mapping.
Purpose of the Study:
- To determine the necessary sample sizes and screening numbers for effective EDSP studies.
- To provide formulas for adjusting sample size calculations based on statistical parameters and marker characteristics.
Main Methods:
- Statistical power calculations for QTL mapping using EDSPs.
- Formulas for sample size adjustment in multipoint sib-pair analysis.
- Assessment of genetic effect size detectable with realistic sample sizes.
Main Results:
- The study presents specific sample size requirements for achieving desired statistical power in EDSP designs.
- Formulas are provided to adjust sample sizes for varying significance levels, power, marker density, and informativeness.
- The most powerful design, EDSPs, can detect genetic effects accounting for approximately 10% of trait variance with realistic sample sizes.
Conclusions:
- Extreme discordant sib pairs represent a highly effective strategy for mapping quantitative trait loci in human populations.
- The presented calculations and formulas facilitate the practical design and implementation of EDSP studies.
- This approach enables the detection of relatively small genetic effects, advancing our understanding of complex trait genetics.