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A Simple PCR-RFLP Method for Genetic Phase Determination in Compound Heterozygotes
Rodney T Perry1, Harsh Dwivedi, Brahim Aissani
1Department of Epidemiology, University of Alabama at Birmingham Birmingham, AL, USA.
Frontiers in Genetics
|February 4, 2012
Summary
Determining genetic phase in compound heterozygotes is challenging. This study introduces a novel PCR-RFLP method to accurately assess genetic phase for SNPs in tumor necrosis factor (TNF) and lymphotoxin alpha (LTA) genes.
Area of Science:
- Genetics
- Molecular Biology
- Immunogenetics
Background:
- Assessing genetic phase for linked alleles is crucial for disease susceptibility studies.
- Statistical haplotype inference methods can be error-prone, especially in small sample sizes or with compound heterozygotes.
- Experimental determination of genetic phase remains a significant challenge.
Purpose of the Study:
- To develop and validate a simple, novel PCR-restriction fragment length polymorphism (RFLP) based strategy.
- To accurately assess genetic phase in individuals with compound heterozygosity for adjacent single nucleotide polymorphisms (SNPs).
- To apply the method to two immune-related SNPs in the tumor necrosis factor (TNF) and lymphotoxin alpha (LTA) genes.
Main Methods:
- Utilized a PCR-RFLP based strategy for genetic phase assessment.
- Applied the method to determine the phase of the TNF -308 (G>A) and LTA +252 (A>G) SNPs.
- Tested the method on known compound heterozygous individuals and all tested samples.
Main Results:
- Successfully determined the genetic phase for the targeted SNPs in all tested individuals.
- Demonstrated the feasibility and accuracy of the PCR-RFLP approach for compound heterozygotes.
- Confirmed that the TNF -308 (A) allele is linked with the LTA +252 (G) allele on the same chromosome.
Conclusions:
- The developed PCR-RFLP method provides a reliable approach for assessing genetic phase in compound heterozygotes.
- This method overcomes limitations of statistical inference in small sample sizes.
- Accurate genetic phase determination facilitates better understanding of cis-regulatory effects in immune-related genes.

