New approach to association testing in case-parent designs under informative parental missingness

Area of Science:

• Genetics
• Statistical genetics
• Population genetics

Background:

• Transmission/disequilibrium test (TDT) and its variants are widely used for genetic association studies.
• TDT's robustness is key, handling population stratification and informative parental missingness.
• Extended TDTs exist for incomplete family structures (dyads, monads) but often lose robustness.

Purpose of the Study:

• To propose a new TDT-type approach that preserves the full robustness of the original TDT.
• To develop a method that accommodates incomplete family data and parental missingness.
• To offer an easily implementable method without complex model specifications.

Main Methods:

• A novel TDT-type approach is presented.
• It utilizes the conditional likelihood of the proband's genotype, given available parental data and phenotype.
• The method is designed for ease of implementation without requiring parental mating-type or missingness models.

Main Results:

• The proposed method retains the full robustness of the original transmission/disequilibrium test.
• It effectively handles incomplete family structures (triads, dyads, monads) and parental missingness.
• The approach is computationally straightforward and does not need complex parameter estimations.

Conclusions:

• The new TDT-type method offers a robust and practical solution for genetic association studies.
• It extends the utility of TDT to scenarios with incomplete family data and missing parental genotypes.
• This approach simplifies genetic analysis while maintaining statistical rigor.