Pooled Genotyping of Microsatellite Markers in Parent–Offspring Trios

  1. George Kirov1,4,
  2. Nigel Williams1,
  3. Pak Sham2,
  4. Nick Craddock3, and
  5. Michael J. Owen1
  1. 1Neuropsychiatric Genetics Unit, University of Wales College of Medicine, Heath Park, Cardiff CF4 4XN, UK; 2Institute of Psychiatry, Denmark Hill, London SE5 8AF, UK; 3Department of Psychiatry, University of Birmingham, Queen Elizabeth Psychiatric Hospital, Birmingham B15 2QZ, UK

Abstract

We studied the extent to which genotyping of simple sequence repeat polymorphisms (SSRs) in pooled DNA samples can be used to predict differences in allele frequencies between parents and their affected offspring. We also developed a simple method of correction for the effects of stutter and differential amplification on the analysis of SSRs in pooled DNA samples based on widely available software. We genotyped individually eight polymorphic microsatellite markers in 110 parent–offspring trios affected with bipolar affective disorder (BP). Analysis of pooled DNA samples predicted very accurately the differences in individual allele frequency distributions between children and their parents. The mean error was <1% (range 0%–3.2%) when marker-specific corrections for stutter and differential amplification were performed. We show that if an individual allele is significantly preferentially transmitted from parents to affected offspring, the difference in the frequency of that allele would be sufficiently large to be detected with pooling in most situations. We propose recommendations for disequilibrium mapping with pooling in which both case-control samples and trios are used in an initial screen and markers are genotyped individually only if they satisfy very relaxed criteria for statistical significance. The use of case-control samples should reduce the false-negative rate as the differences in allele frequencies between cases and controls are twice as high in the presence of the same genetic effect. The use of trios will confirm or reject any suggested differences, thus reducing the false-positive rate that can be created by hidden population stratification.

Footnotes

  • 4 Corresponding author.

  • E-MAIL kirov{at}cardiff.ac.uk; FAX 44 1222 746554.

    • Received July 27, 1999.
    • Accepted November 3, 1999.
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