The Single‐Nucleotide Polymorphism Lottery: How Useful are a Few Common SNPs in Identifying Disease‐Associated Alleles?
It has been proposed that using association analysis of single nucleotide polymorphism (SNP) markers in candidate genes may be more successful in identifying disease susceptibility genes for complex diseases. Finding all the SNPs within a candidate gene and genotyping a large case‐control cohort is...
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Veröffentlicht in: | Genetic epidemiology 2001, Vol.21 (S1), p.S384-S389 |
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creator | Barton, Anne Chapman, Philip Myerscough, Anne Pinel, Tracy Davies, Nick Worthington, Jane John, Sally |
description | It has been proposed that using association analysis of single nucleotide polymorphism (SNP) markers in candidate genes may be more successful in identifying disease susceptibility genes for complex diseases. Finding all the SNPs within a candidate gene and genotyping a large case‐control cohort is a resource‐intensive process. As linkage disequilibrium extends across small regions of the genome, the expectation is that a few common anonymous SNPs will be sufficient to detect functional disease‐associated alleles. The aim of this investigation was to compare the ability of a number of family‐ and population‐based association methods to identify known susceptibility loci using the Genetic Analysis Workshop 12 simulated data set. As expected, case‐control methods were more likely to detect association with individual SNPs but family‐based haplotyping methods appeared better able to localize the position of functional polymorphism. © 2001 Wiley‐Liss, Inc. |
doi_str_mv | 10.1002/gepi.2001.21.s1.s384 |
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subjects | Adult Alleles association analysis Case-Control Studies Child Chromosome Mapping Female Genetic Predisposition to Disease - genetics Genetics, Population Genotype haplotype analysis Haplotypes - genetics Humans Linkage Disequilibrium Lod Score Male Middle Aged Models, Genetic Polymorphism, Single Nucleotide SNP |
title | The Single‐Nucleotide Polymorphism Lottery: How Useful are a Few Common SNPs in Identifying Disease‐Associated Alleles? |
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