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Unraveling Complex Diseases: Future of Genetic Studies

Explore multiple genes, alleles, and loci models in genetic studies of complex human diseases. Dive into SNP covariance, risk ratios, and RNA covariances for a comprehensive understanding. Click on interactive graphs for active spreadsheets.

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Unraveling Complex Diseases: Future of Genetic Studies

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  1. But what if we test more than one locus? The future of genetic studies of complex human diseases. Ref(Note above graphs are active spreadsheets -- just click) GRR = Genotypic relative risk

  2. Why multiple genes? alleles? covariance cis & trans Haplotyping Multiple loci models (additive, multiplicative, mean…)

  3. SNPs & Covariance in proteins Risk ratio: e2/3=0.5 ; e3/3=1; e3/4=2.5 ; e4/4=15 ApoE e4 RRR e3 RCR e2 RCC (61 112 158) Ancestral = Thr 61 Arg 112

  4. 1 72 " " Covariance in RNA ref

  5. Covariance TyC anticodon 3’acc D-stem Mij= Sfxixjlog2[fxixj/(fxifxj)] M=0 to 2 bits; x=base type xixjsee Durbin et al p. 266-8.

  6. Mutual Information ACUUAU M1,6= S = fAU log2[fAU/(fA*fU)]... CCUUAGx1x6 GCUUGC =4*.25log2[.25/(.25*.25)]=2 UCUUGA i=1j=6M1,2= 4*.25log2[.25/(.25*1)]=0 Mij= Sfxixjlog2[fxixj/(fxifxj)] M=0 to 2 bits; x=base type xixjsee Durbin et al p. 266-8. See Shannon entropy, multinomial Grendar

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