Hi everybody. I am doing a sort of meta-analysis between two different GWAS datasets in order to see whether particular SNPs or sets of SNPs contribute to both pathological conditions. I am currently using METAL with the inverse variance-based method. However, when a SNP is very significantly associated to a disease and not to the other, the meta-analysis p-value is still very significant and this spoils the final result. What can I do to avoid such inconvenience? Please let me know. Thanks. Cheers!
Question: GWAS Meta analysis
3.6 years ago by
alessandrotestori7 • 390
alessandrotestori7 • 390 wrote:
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