ArticleJournal of human genetics2008
Sample-size properties of a case-control association analysis of multistage SNP studies for identifying disease susceptibility genes.
Article in Journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Improved minimum cost and maximum power two stage genome-wide association study designs.PloS one · 2012Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A two-stage association study is the most commonly used method to efficiently identify disease susceptibility genes. However, some recent single nucleotide polymorphism (SNP) studies recently utilized three-stage designs. The purpose of this study was to investigate the practical properties of statistical powers and positive predictive values (PPVs) of replication-based analysis (RBA) and the joint analysis (JA) in multistage designs. For this purpose, a program for multistage designs was developed to calculate these performance indicators under various conditions of the number of samples, alleles of candidates, alleles remaining in the final stage, and genotypings. The results showed that the powers and PPVs of RBA and JA in three-stage designs were higher than those in two-stage designs in the range of a smaller proportion of sample size than 0.5 at the first stage. This tendency was more remarkable in JA. In conclusion, researchers who perform SNP studies for identifying disease susceptibility genes need to take account of three-stage case-control association studies, corresponding to study conditions such as the total numbers of samples, alleles, and genotypings. Furthermore, the program developed in this study is useful for estimating powers and PPVs in planning multistage association studies.
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