ArticleHuman genetics2017
A gene-based test of association through an orthogonal decomposition of genotype scores.
Article in Human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00000125 (Ocular Hypertension Treatment Study), which is not on this map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Ocular Hypertension Treatment Study (OHTS)
Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Robust tests for combining p-values under arbitrary dependency structures.Scientific reports · 2022Article
- Article
- Integration of methylation QTL and enhancer-target gene maps with schizophrenia GWAS summary results identifies novel genes.Bioinformatics (Oxford, England) · 2019Article
- A novel gene-set association test based on variance-gamma distribution.Statistical methods in medical research · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
The burden test and the sequence kernel association test (SKAT) are two popular methods for detecting association with rare variants. Treated as two different sources of association information, they are adaptively combined to form an optimal SKAT (SKAT-O) method for optimal power. We show that the burden test is part of rather than independent of the SKAT. We introduce a new test statistic that is the sum of the burden statistic and a statistic asymptotically independent of the burden statistic. The performance of this new test statistic is demonstrated through extensive simulation studies and applications to a Genetic Analysis Workshop 17 data set and the Ocular Hypertension Treatment Study data.
Indexed as
Identifiers
What OpenQuestion holds
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.