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Related Experiment Videos

True pedigree errors more frequent than apparent errors for single nucleotide polymorphisms.

D Gordon1, S C Heath, J Ott

  • 1Laboratory of Statistical Genetics, Rockefeller University, New York, NY 10021, USA.

Human Heredity
|March 17, 1999
PubMed
Summary
This summary is machine-generated.

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Pedigree errors in single nucleotide polymorphism (SNP) analyses are detectable using Mendelian laws. Error detection rates range from 25-30%, revealing true error rates are higher than apparent ones.

Area of Science:

  • Genetics
  • Bioinformatics
  • Population Genetics

Background:

  • Single nucleotide polymorphisms (SNPs) are crucial genetic markers used in association studies.
  • The 'haplotype relative risk' sampling design, involving parents and child (trio), is commonly used for SNP analysis.
  • Ensuring data accuracy through pedigree error detection is vital for reliable genetic analyses.

Purpose of the Study:

  • To determine the probability of detecting pedigree errors at SNP loci using Mendelian laws.
  • To evaluate how SNP polymorphism and allele frequencies affect error detection rates.
  • To estimate the true error rate based on observed pedigree error detection.

Main Methods:

  • Utilized a hypothetical SNP locus with varying degrees of polymorphism.

Related Experiment Videos

  • Calculated the probability of detecting allele-change errors within parent-child trios.
  • Analyzed error detection rates across different allele frequencies and true error rates.

    • Main Results:

    • SNP pedigree error detection rates ranged between 25% and 30%.
    • Lower detection rates were observed when allele frequencies were equal.
    • Higher detection rates occurred when one allele frequency was 10%.
    • The true error rate was estimated to be 3.3-4 times the apparent error rate.

    Conclusions:

    • Mendelian laws provide a basis for detecting pedigree errors in SNP data.
    • Allele frequencies significantly influence the efficacy of error detection.
    • Apparent error rates underestimate the true frequency of pedigree errors in SNP analyses.