ArticleGenetics2014
Enhancing the power to detect low-frequency variants in genome-wide screens.
Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Functional significance of NLRP3 polymorphisms in mild cognitive impairment.BMC geriatrics · 2026Article
- Genes and variants in hematopoiesis-related pathways are associated with gemcitabine/carboplatin-induced thrombocytopenia.The pharmacogenomics journal · 2020Article
- Weighted False Discovery Rate Control in Large-Scale Multiple Testing.Journal of the American Statistical Association · 2018Article
- A novel haplotype of low-frequency variants in the aldosterone synthase gene among northern Han Chinese with essential hypertension.Medicine · 2017Article
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Authors and funding
5 authors.
Funding
Abstract
In genetic association studies a conventional test statistic is proportional to the correlation coefficient between the trait and the variant, with the result that it lacks power to detect association for low-frequency variants. Considering the link between the conventional association test statistics and the linkage disequilibrium measure r(2), we propose a test statistic analogous to the standardized linkage disequilibrium D' to increase the power of detecting association for low-frequency variants. By both simulation and real data analysis we show that the proposed D' test is more powerful than the conventional methods for detecting association for low-frequency variants in a genome-wide setting. The optimal coding strategy for the D' test and its asymptotic properties are also investigated. In summary, we advocate using the D' test in a dominant model as a complementary approach to enhancing the power of detecting association for low-frequency variants with moderate to large effect sizes in case-control genome-wide association studies.
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Registered trials
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