Variant Prioritization by Pedigree-Based Haplotyping

Area of Science:

• Genetics
• Genomics
• Bioinformatics

Background:

• Whole genome sequence (WGS) data offers comprehensive variant analysis for complex traits.
• Prioritizing variants, especially in non-coding regions, presents a significant challenge.

Purpose of the Study:

• To develop and validate a pedigree-based haplotyping approach for identifying risk haplotypes and prioritizing variants in regions of interest (ROI).
• To reduce the number of potential trait-associated variants for complex diseases within families.

Main Methods:

• Utilizing pedigree-based haplotyping to identify identity-by-descent (IBD) sharing among familial cases.
• Applying the method to WGS data to determine haplotype sharing and pinpoint risk haplotypes.
• Validating the approach using simulated data and real Alzheimer's disease family data.

Main Results:

• The approach accurately identifies risk haplotypes and significantly reduces the list of potential risk alleles.
• It effectively pinpoints variants within regions of interest (ROI) defined by IBD sharing.
• Demonstrated accuracy in identifying risk haplotypes across various pedigree sizes and allele frequencies.

Conclusions:

• Pedigree-based haplotyping is an effective strategy for prioritizing variants associated with complex traits in familial studies.
• This method enhances the efficiency of genetic analysis by reducing the variant set without requiring large reference samples.
• The approach is robust and applicable to diverse genetic architectures of complex diseases.