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QTL Mapping in Humans Lon Cardon, Stacey Cherny Goncalo Abecasis
University of Oxford Goncalo Abecasis University of Michigan Pak Sham Institute of Psychiatry, King’s College, London
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3 Stages of Genetic Mapping
Are there genes influencing this trait? Epidemiological studies Where are those genes? Linkage analysis What are those genes? Association analysis
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3 Stages of Genetic Mapping
Are there genes influencing this trait? Epidemiological studies Where are those genes? Linkage analysis What are those genes? Association analysis
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Polygenic Traits 1 Gene 2 Genes 3 Genes 4 Genes
3 Genotypes 3 Phenotypes 2 Genes 9 Genotypes 5 Phenotypes 3 Genes 27 Genotypes 7 Phenotypes 4 Genes 81 Genotypes 9 Phenotypes QTL mapping: identify specific loci SEM work this week
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QTL Linkage Analysis Aim: Identify regions of genome that contain (‘are linked with’) gene(s) influencing trait Follows directly from biometrical model Builds on all concepts developed this week Twins informative, as are extended sibships larger kindreds Only one new data type added to design: genotypes ‘identity by descent’ derived from genotypes
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E E C C A A Q Q rMZ = rDZ = 1 rMZ = 1, rDZ = 0.5 ^ rMZ = 1, rDZ = e
Twin 1 trait Twin 2 trait
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Some QTL linkage analysis software programs
ACT: Chris Amos’ variance components suite Genehunter: Leonid Kruglyak’s discrete-trait package, extended to simple VC SOLAR: John Blangero’s variance components package QTDT/Merlin: Goncalo Abecasis’ association/linkage VC program and likelihood engine Many others, large and small Mx: Mike Neale’s variance components program
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Friday afternoon schedule
1:30-2:30: Linkage analysis theory: Abecasis/Sham 2:30-3:00: QTL linkage analysis in Mx: Cardon/Cherny 3:00-3:30: Tea 3:30-4:00: Multivariate QTL linkage analysis: Cardon/Cherny 4:00-4:45: Beyond linkage: some current issues in QTL identification (aka: gratuitous promotion of advanced workshop): Cardon
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