## Abstract Modern molecular techniques make discovery of numerous single nucleotide polymorphims (SNPs) in candidate gene regions feasible. Conventional analysis relies on either independent tests with each variant or the use of haplotypes in association analysis. The first technique ignores the d
Haplotype sharing analysis with SNPs in candidate genes: the genetic analysis workshop 12 example
✍ Scribed by Christine Fischer; Lars Beckmann; Paul Majoram; Gerard te Meerman; Jenny Chang-Claude
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 106 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0741-0395
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✦ Synopsis
Abstract
Haplotype sharing analysis was used to investigate the association of affection status with single nucleotide polymorphism (SNP) haplotypes within candidate gene 1 in one sample each from the isolated and the general population of Genetic Analysis Workshop (GAW) 12 simulated data. Gene 1 has direct influence on affection and harbors more than 70 SNPs. Haplotype sharing analysis depends heavily on previous haplotype estimation. Using GENEHUNTER haplotypes, strong evidence was found for most SNPs in the isolated population sample, thus providing evidence for an involvement of this gene, but the maximum −log~10~(p) values for the haplotype sharing statistics (HSS) test statistic did not correspond to the location of the true variant in either population. In comparison, transmission disequilibrium test (TDT) analysis showed the strongest results at the disease‐causing variant in both populations, and these were outstanding in the general population. In this example, TDT analysis appears to perform better than HSS in identifying the disease‐causing variant, using SNPs within a candidate gene in an outbred population. Simulations showed that the performance of HSS is hampered by closely spaced SNPs in strong linkage disequilibrium with the functional variant and by ambiguous haplotypes. Genet Epidemiol 24:68–73, 2003. © 2003 Wiley‐Liss, Inc.
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