paperKB
coga / coga-kb
Help
Sign in

Chunk #26 — Discussion

Source
An empirical evaluation of imputation accuracy for association statistics reveals increased type-I error rates in genome-wide associations.
Embedded
yes

Text

like any other large scale experiments, are prone to false negative associations due to the impressive amount of hypothesis tests being performed and a small percentage of low quality SNPs can cause important statistical problems ([11]). These statistical limitations demand that any marker considered associated with a particular disease, specially imputed ones, should be directly genotyped using different genotyping platforms. This conservative procedure is now considered mandatory for the publication of such results. Nevertheless, even the follow-up of a small fraction of positive results from a GWAS involves significant costs.