ArticlePLoS genetics2009
Rapid and accurate multiple testing correction and power estimation for millions of correlated markers.
Article in PLoS genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 5 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
97 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Genetic characterization of outbred Sprague Dawley rats and utility for genome-wide association studies.PLoS genetics · 2022Pooled it
- Genome-wide association study for time to failure of kidney transplants from African American deceased donors.Clinical transplantation · 2020Pooled it
- Imputing Phenotypes for Genome-wide Association Studies.American journal of human genetics · 2016Pooled it
- Meta-analysis of genome-wide association from genomic prediction models.Animal genetics · 2016Pooled it
- Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies.American journal of human genetics · 2011Pooled it
- Protein quantitative trait locus study in obesity during weight-loss identifies a leptin regulator.Nature communications · 2017Trial
- Genome-wide association analysis reveals genetic architecture of fertility traits in Sahiwal heifers and cows.Tropical animal health and production · 2026Article
- Form and function of actin impacts actin health and aging.iScience · 2026Article
- Form and function of actin impacts actin health and aging.bioRxiv : the preprint server for biology · 2025Article
- Genome-wide association studies and candidate genes networks affecting reproductive traits using Iranian Holstein sequence data.BMC genomics · 2025Article
- Neural Excitatory/Inhibitory Imbalance in Motor Aging: From Genetic Mechanisms to Therapeutic Challenges.Biology · 2025Review
- Exploring genetic variants affecting milk production traits through genome-wide association study in Vrindavani crossbred cattle of India.Tropical animal health and production · 2025Article
- Hepatic WDR23 proteostasis mediates insulin homeostasis by regulating insulin-degrading enzyme capacity.GeroScience · 2024Article
- Identification of genetic variants affecting reproduction traits in Vrindavani cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- Genotype-environment associations to reveal the molecular basis of environmental adaptation.The Plant cell · 2023Article
- Fine-mapping from summary data with the "Sum of Single Effects" model.PLoS genetics · 2022Article
- Genetic variation ineLife · 2022Article
- Article
- Genome Wide Scan to Identify Potential Genomic Regions Associated With Milk Protein and Minerals in Vrindavani Cattle.Frontiers in veterinary science · 2022Article
- Simultaneous Detection of Signal Regions Using Quadratic Scan Statistics With Applications to Whole Genome Association Studies.Journal of the American Statistical Association · 2022Article
37 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
With the development of high-throughput sequencing and genotyping technologies, the number of markers collected in genetic association studies is growing rapidly, increasing the importance of methods for correcting for multiple hypothesis testing. The permutation test is widely considered the gold standard for accurate multiple testing correction, but it is often computationally impractical for these large datasets. Recently, several studies proposed efficient alternative approaches to the permutation test based on the multivariate normal distribution (MVN). However, they cannot accurately correct for multiple testing in genome-wide association studies for two reasons. First, these methods require partitioning of the genome into many disjoint blocks and ignore all correlations between markers from different blocks. Second, the true null distribution of the test statistic often fails to follow the asymptotic distribution at the tails of the distribution. We propose an accurate and efficient method for multiple testing correction in genome-wide association studies--SLIDE. Our method accounts for all correlation within a sliding window and corrects for the departure of the true null distribution of the statistic from the asymptotic distribution. In simulations using the Wellcome Trust Case Control Consortium data, the error rate of SLIDE's corrected p-values is more than 20 times smaller than the error rate of the previous MVN-based methods' corrected p-values, while SLIDE is orders of magnitude faster than the permutation test and other competing methods. We also extend the MVN framework to the problem of estimating the statistical power of an association study with correlated markers and propose an efficient and accurate power estimation method SLIP. SLIP and SLIDE are available at http://slide.cs.ucla.edu.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.