№ files_lp_4_process_3_082399
Methodological description of genotyping, quality control, population structure analysis and association testing applied to an Immunochip dataset investigating genetic variants in the major histocompatibility complex related to psoriasis and psoriatic arthritis.
Research field: Genetic epidemiology
Topic: Genetic association analysis of psoriasis and psoriatic arthritis
Document type: Research methods and supplementary materials description
Dataset: Immunochip dataset
Genotyping centres: Wellcome Trust Sanger Institute; Centre for Public Health Genomics at the University of Virginia; Arthritis Research UK Centre for Genetics and Genomics at the University of Manchester; University of Queensland Diamantina Institute; Trinity Translational Medicine at the University of Dublin
Genotyping software: GenomeStudio Data Analysis Software Platform (Genotyping Module v1.8.4)
Quality control tools: PLINK v1.07; EIGENSOFT v4.2; flashpca
Statistical methods: Identity-by-descent analysis; principal component analysis; logistic regression; Hardy–Weinberg equilibrium filtering
Genetic markers: SNPs from Immunochip array
Genomic region of interest: Major Histocompatibility Complex (MHC)
Genes analyzed: HLA-C; HLA-B; HLA-A
Phenotypes studied: Psoriasis; Psoriatic arthritis
Population reference datasets: HapMap3 CEU; CHB; JPT; YRI
Variables analyzed: Allele frequency; genotype call rate; heterozygosity; age of disease onset
Associated amino acid position: Position 45 of HLA-B
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