ArticleStatistical applications in genetics and molecular biology2009
Incorporating duplicate genotype data into linear trend tests of genetic association: methods and cost-effectiveness.
Article in Statistical applications in genetics and molecular biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Impact of genotyping errors on statistical power of association tests in genomic analyses: A case study.Genetic epidemiology · 2017Article
- Assessing the impact of differential genotyping errors on rare variant tests of association.PloS one · 2013Article
- Article
- Assessing the impact of non-differential genotyping errors on rare variant tests of association.Human heredity · 2011Article
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Authors and funding
5 authors.
Funding
Abstract
The genome-wide association (GWA) study is an increasingly popular way to attempt to identify the causal variants in human disease. Duplicate genotyping (or re-genotyping) a portion of the samples in a GWA study is common, though it is typical for these data to be ignored in subsequent tests of genetic association. We demonstrate a method for including duplicate genotype data in linear trend tests of genetic association which yields increased power. We also consider the cost-effectiveness of collecting duplicate genotype data and find that when the relative cost of genotyping to phenotyping and sample acquisition costs is less than or equal to the genotyping error rate it is more powerful to duplicate genotype the entire sample instead of spending the same money to increase the sample size. Duplicate genotyping is particularly cost-effective when SNP minor allele frequencies are low. Practical advice for the implementation of duplicate genotyping is provided. Free software is provided to compute asymptotic and permutation based tests of association using duplicate genotype data as well as to aid in the duplicate genotyping design decision.
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