You could do a case control study if the sampling is appropriate. ie cases come from hospital coverage zone and non cases are selected independently of genetic profile from the same coverage zone.

then calculate odds ratio as follows:

rflp + rflp-

asthma + a b

asthma - c d

odds ratio (RRapprox) = ad/bc

Hello Joseph Shenekji,

You can do these manually in Excel but online tools are available too. "SNP_tools" is such an MS Excel add-in for SNP analysis. Follow the below steps:

1. Determination of Allelic and Genotype frequencies for cases and controls.

2. Hardy-Weinberg equilibrium check by chi-square test

3. Association with the disease using the chi-square test.

4. Normality check by Shapiro-Wilk test

5. Compare the demographic variables like age by t-test (parametric) or Mann Whitney test (no-parametric) between cases and controls

6. If you have a clinical variable such as disease severity to correlate go for Pearson (parametric) or Spearman (non-parametric) correlation test.

I generally do this kind of analysis in SPSS, a software where you can perform statistical analysis after uploading the dataset. Softwares like R, MedCalc and GraphPad Prism are also there. R is an open-source application. You might also like to consult a biostatistician at your university who will scrutinize the properties of your dataset and tell you what tests fit best.

Best wishes,

Deb

Hi, I'm also doing SNPs. My suggestion is to analyze genotype and allele frequencies, dominant model, recessive model and additive model to find any association between the genotypes or alleles and the disease.

Chi square tests and Cochran-Armitage Test are appropriate.

Then, Odds ratios can be calculated with 95% CI.

Don't forget to calculate deviation from HWE first of all.

I use all these analysis in R.

Regards

Thank you Mr.james ,Mr.debparasadand Mr.win

I downloaded spss and used chi square test with phi and cramer v test for values and calculated odds ratio