what is GWAS
What is the odds ratio
- underlying probabilities
the association between an SNP and the phenotype = odds ratio.
what are the odds of SNPa occuring in the phenotypic cases and in the control cases
Ocase = Pcont/1-Pcont Ocont = Pcont/1-Pcont
what is the odds ratio
OR = Pcase/1-Pcase/Pcont/1-Pcont
if
OR = 1
OR > 1
OR <1
OR = 1 SNP is equally likely to occur in case as controls
OR > 1 SNP is more likely to occur in cases than in controls
OR <1 SNP is less likely to occur in cases than controls
GIANT consortium
17k individuals 500 markerss OR = 1.2-1.5 found 24 new genes for diseases such as crohns and hypertension
Human height, the history of genetic association
2008: major studies identified 44 associated QTLs (found most chromosomes contain height associated QTLs)
2010: meta-analysis GWAS of european height by GIANT consortium accounting for 12% of the heritability of human height (180 subjects, 180 height QTLS)
2014: meta-analysis GWAS european height = 250k people, 700 SNPs, 400 height QTLs, 60% of heritbiality in height accounted for.
pathways or genes associated with humans height
endochondral bones, growth and regulation
Diseases cinvolved in height mutations
cline in height
north south cline in height
height alleles differ in freq between northern and southern europe.
- too large drift to be due to drigt alone - weak selection rather than drift
Drosophila selection for fly size experiment
candidate genes in drosophila
several IGF like ILS pathways are candidate for drosophila size
potential ILS involved in drosophila size
results of drosophila fly experiment
41k SNPs differ between each pair of large and small lines
5.6k that differ are >95% in freq
1.2k distinct regions that differ in freq.
Only TOR ILS is thought to be important
Stickleback shape in marine and freshwater
G. aculetus freshwater and marine sticklebacks differ in pelvic morphollogy and body shape as well as other traits
Classifiying stickleback genes method
sequenced and made a self-organising map (multivariate classification method) used to classify 2.5kb sliding window genomic regions.
results of classifying stickleback genes
Genomic regions associated with freshwater vs marine
regions pull out and examined
Identifying numerous adaptation genes in a single population
identifying numerous adaptation genes in divergent populations
what are the problems with the methods for identifying numerous and adaptation genes in divergent and single populations
although this is a search for unbiased loci
rescue of trait cant be applied which is gold standard.