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Related Experiment Video

Updated: Jul 2, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Testing linkage disequilibrium from pooled DNA: a contingency table perspective.

Jinfeng Xu1, Yaning Yang, Zhiliang Ying

  • 1Department of Statistics and Applied Probability, National University of Singapore, Singapore 117546, Singapore.

Statistics in Medicine
|August 21, 2008
PubMed
Summary
This summary is machine-generated.

DNA pooling reduces genotyping costs by observing allele counts, not haplotypes. This method accurately estimates haplotype frequencies and tests linkage disequilibrium (LD), though less efficiently for weak LD.

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Area of Science:

  • Genetics
  • Statistical Genetics
  • Bioinformatics

Background:

  • DNA pooling is a cost-reduction strategy in genotyping.
  • Traditional methods observe individual genotypes, yielding haplotype information.
  • Pooled DNA schemes yield only allele counts, losing haplotype data.

Purpose of the Study:

  • To develop a systematic method for analyzing pooled DNA data.
  • To estimate haplotype frequencies and test linkage disequilibrium (LD) from pooled allele counts.
  • To assess the efficiency and robustness of methods using pooled DNA.

Main Methods:

  • Formulating pooled data analysis using contingency tables.
  • Determining cell frequencies from marginal allele counts under Hardy-Weinberg equilibrium (HWE).
  • Deriving maximum likelihood estimates for haplotype frequencies and Wald-type tests for LD coefficients.

Main Results:

  • Haplotype frequencies can be uniquely determined and consistently estimated from pooled allele counts.
  • Maximum likelihood estimates are asymptotically normal as pool size increases.
  • Pooling is efficient for estimating haplotype frequencies but not for testing weak linkage disequilibrium.

Conclusions:

  • The proposed contingency table method effectively handles pooled DNA data for haplotype frequency estimation.
  • While efficient for estimation, DNA pooling has limitations in testing weak linkage disequilibrium.
  • The developed tests demonstrate robustness to deviations from HWE and minor genotype errors.