Year: 2011
Type: preprint
Abstract: Genotyping errors are known to influence the power of both family-based and case-control studies in the genetics of complex disease. Estimating genotyping error rate in a given dataset can be complex, but when family information is available error rates can be inferred from the patterns of Mendelian inheritance between parents and offspring. I introduce a novel likelihood-based method for calculating error rates from family data, given known allele frequencies. I apply this to an example dataset, demonstrating a low genotyping error rate in genotyping data from a personal genomics company.
Source: arXiv (Cornell University)
Author: Jostins, Luke
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W1664230440