rs1005133 - GP1BB - TBX1

Magnitude 2.0 · 1 study on file

Reported associations

• Studying the effects of haplotype partitioning methods on the RA-associated genomic results from the North American Rheumatoid Arthritis Consortium (NARAC) dataset - Unknown journal (n.d.) · Unknown authors · PubMed 30891314

  ABSTRACT: Graphical abstract Highlights Haplotype blocks methods plays a complementary role to the single-SNP approaches. CIT, FGT, SSLD, and single-SNP methods should be applied to discover the markers. Selection of the method used for the association has an impact on the biomarkers. SSLD method detected more significant SNPs than CIT, FGT, and single-SNP methods. The 383 SNPs discovered by all methods are significantly associated with RA. 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 appropria

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