A multi-marker test based on family data in genome-wide association study

Area of Science:

• Genetics
• Bioinformatics
• Statistical genomics

Background:

• Complex diseases arise from multiple genes and environmental factors.
• Multi-marker methods are suitable for mapping genes involved in complex diseases.
• Existing methods primarily focus on case-control studies.

Purpose of the Study:

• To propose a novel multi-marker test for analyzing family data in genome-wide association studies.
• To introduce a two-stage approach for enhanced gene mapping when parental phenotypes are available.

Main Methods:

• Development of the Multi-marker Pedigree Disequilibrium Test (MPDT).
• Implementation of a two-stage test involving genomic screening and MPDT.
• Evaluation of method performance using simulation studies.

Main Results:

• The MPDT consistently outperformed the single marker Transmission/Disequilibrium Test (TDT).
• The power comparison between one-stage and two-stage approaches depends on disease prevalence.
• The two-stage approach demonstrated superior power when disease prevalence was 10% or higher.

Conclusions:

• The MPDT offers increased power for complex disease gene mapping compared to single marker TDT.
• The proposed two-stage approach is more powerful than the one-stage method under specific conditions (parental phenotypes available, prevalence ≥ 10%).