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Updated: Aug 15, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
On confidence intervals for genotype relative risks and attributable risks from case parent trio designs for
Daniel Franke1, Anne Philippi, Frédéric Tores
1Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Ratzeburger Allee 160, Haus 4, DE-23538 Lübeck, Germany.
Estimating genotype relative risks (GRRs) and attributable risk (AR) can be biased if the marker single nucleotide polymorphism (SNP) does not perfectly match the disease locus. Bias occurs with differing allele frequencies or incomplete linkage disequilibrium (LD).
Area of Science:
- Genetics
- Statistical Genetics
- Epidemiology
Background:
- Investigates bias and coverage probabilities of genotype relative risks (GRRs) and attributable risk (AR) estimates in case parent trio designs.
- Examines scenarios where the marker single nucleotide polymorphism (SNP) locus is not identical to the disease locus.
Discussion:
- Bias in GRR and AR estimates is influenced by linkage disequilibrium (LD) and marker allele frequencies.
- Substantial bias occurs when marker allele frequencies differ from the functional SNP's frequencies or when LD is not maximal.
Key Insights:
- No bias is observed when the marker and disease loci coincide.
- Estimates are generally biased towards the null hypothesis, particularly with differing allele frequencies or suboptimal LD.
- Biases away from the null are rare and typically small.
Outlook:
- Emphasizes the need for caution when applying GRR and AR estimates in candidate gene studies.
- Highlights the impact of marker-disease locus mismatch on genetic association study results.
- Suggests careful consideration of LD and allele frequencies for accurate genetic risk assessment.
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