ArticleJournal of advanced research2019
Studying the effects of haplotype partitioning methods on the RA-associated genomic results from the North American Rheumatoid Arthritis Consortium (NARAC) dataset.
Article in Journal of advanced research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Epigenetic alterations in WDFY4 DNA methylation are linked to immunoinflammatory processes in rheumatoid arthritis: insights from a case-control study.Clinical rheumatology · 2026Article
- RORγt-APCs: The New Masters of Oral Tolerance.Barrier immunity · 2025Article
- The role of autoantibodies in Alzheimer's disease: Pathogenetic connections or epiphenomena?Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Article
- The identification of blood-derived response eQTLs reveals complex effects of regulatory variants on inflammatory and infectious disease risk.PLoS genetics · 2025Article
- LncRNA LZTS1-AS1 induces proliferation, metastasis and inhibits autophagy of pancreatic cancer cells through the miR-532 /TWIST1 signaling pathway.Cancer cell international · 2023Article
- Genome-Wide Association Study of Fluorescent Oxidation Products Accounting for Tobacco Smoking Status in Adults from the French EGEA Study.Antioxidants (Basel, Switzerland) · 2022Article
- Genetics of rheumatoid arthritis.Seminars in immunopathology · 2022Review
- Genetic architecture of type 1 diabetes with low genetic risk score informed by 41 unreported loci.Communications biology · 2021Article
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Authors and funding
4 authors.
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Abstract
The human genome, which includes thousands of genes, represents a big data challenge. Rheumatoid arthritis (RA) is a complex autoimmune disease with a genetic basis. Many single-nucleotide polymorphism (SNP) association methods partition a genome into haplotype blocks. The aim of this genome wide association study (GWAS) was to select the most appropriate haplotype block partitioning method for the North American Rheumatoid Arthritis Consortium (NARAC) dataset. The methods used for the NARAC dataset were the individual SNP approach and the following haplotype block methods: the four-gamete test (FGT), confidence interval test (CIT), and solid spine of linkage disequilibrium (SSLD). The measured parameters that reflect the strength of the association between the biomarker and RA were the
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