Related Experiment Video
Updated: Aug 5, 2026
05:53
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Cost-effective analysis of candidate genes using htSNPs: a staged approach
C E Lowe1, J D Cooper, J M Chapman
1Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge, UK.
Genes and Immunity
|March 19, 2004
Summary
This study optimized genotyping for disease association studies using haplotype tag single nucleotide polymorphisms (htSNPs) and a two-stage approach. The analysis found minimal evidence linking RANK and TRANCE genes to type 1 diabetes (T1D).
Area of Science:
- Genetics
- Immunology
- Computational Biology
Background:
- Cost-effective genotyping strategies are crucial for large-scale genetic association studies.
- Linkage disequilibrium between single nucleotide polymorphisms (SNPs) can lead to redundant genotyping.
- Previous work demonstrated the utility of haplotype tag SNPs (htSNPs) in multi-locus transmission/disequilibrium tests (TDT).
Purpose of the Study:
- To evaluate a two-stage genotyping strategy combined with multi-locus TDT for enhanced cost-effectiveness.
- To investigate the association between common alleles of immune regulatory genes RANK and TRANCE (RANKL) with type 1 diabetes (T1D).
Main Methods:
- Utilized haplotype tag single nucleotide polymorphisms (htSNPs) for efficient marker selection.
- Employed a two-stage genotyping strategy to further reduce genotyping costs.
- Applied a multi-locus transmission/disequilibrium test (TDT) to analyze genetic associations.
Main Results:
- The proposed two-stage genotyping strategy achieved approximately 75% savings in genotyping reactions.
- Minimal loss of statistical power was observed despite the significant reduction in genotyping.
- Little evidence was found for an association between the TRANCE and RANK genes and T1D in the studied populations.
Conclusions:
- A two-stage genotyping strategy using htSNPs is a highly cost-effective approach for disease association studies.
- The study provides evidence against a significant association of common RANK and TRANCE alleles with type 1 diabetes.
- This optimized genotyping method can be applied to future genetic studies of complex diseases.
