ArticleBMC proceedings2009
A pathway analysis applied to Genetic Analysis Workshop 16 genome-wide rheumatoid arthritis data.
Article in BMC proceedings, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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.
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.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Measles contributes to rheumatoid arthritis: evidence from pathway and network analyses of genome-wide association studies.PloS one · 2013Pooled it
- Identification of potential biomarkers for differential diagnosis between rheumatoid arthritis and osteoarthritis via integrative genome‑wide gene expression profiling analysis.Molecular medicine reports · 2019Article
- Integrative analysis of genome-wide association studies and gene expression analysis identifies pathways associated with rheumatoid arthritis.Oncotarget · 2016Article
- Pathway-based association analysis of two genome-wide screening data identifies rheumatoid arthritis-related pathways.Genes and immunity · 2014Article
- RADB: a database of rheumatoid arthritis-related polymorphisms.Database : the journal of biological databases and curation · 2014Article
- Article
- Assessing methods for assigning SNPs to genes in gene-based tests of association using common variants.PloS one · 2013Article
- Pathway-based identification of SNPs predictive of survival.European journal of human genetics : EJHG · 2011Article
- From SNPs to genes: disease association at the gene level.PloS one · 2011Article
- Analysing biological pathways in genome-wide association studies.Nature reviews. Genetics · 2010Review
- Inclusion of a priori information in genome-wide association analysis.Genetic epidemiology · 2009Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The identification of several hundred genomic regions affecting disease risk has proven the ability of genome-wide association studies have proven their ability to identify genetic contributors to disease. Currently, single-nucleotide polymorphism (SNP) association analysis is the most widely used method of genome-wide association data, but recent research shows that multi-marker tests of association may provide greater power, especially when more than one mutation is present within a gene and the mutations are in low linkage disequilibrium with each other. Here we use a multi-marker association test based on regression to SNPs located within known genes to obtain a gene-level score of association. We then perform pathway analysis using this score as a measure of gene importance. We use two tests of pathway enrichment - a binomial test and a random set method. By utilizing publicly available gene and pathway information, we identify B cell, cytokine and inflammation response, and antigen presentation pathways as being associated with rheumatoid arthritis. These results confirm known biological mechanisms for auto-immunity disorders, of which rheumatoid arthritis is one.
Identifiers
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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.