Spatial analyzes of HLA data in Rio Grande do Sul, south Brazil: genetic structure and possible correlation with autoimmune diseases

International Journal of Health Geographics
J A BoquettL Schüler-Faccini

Abstract

HLA genes are the most polymorphic of the human genome and have distinct allelic frequencies in populations of different geographical regions of the world, serving as genetic markers in ancestry studies. In addition, specific HLA alleles may be associated with various autoimmune and infectious diseases. The bone marrow donor registry in Brazil is the third largest in the world, and it counts with genetic typing of HLA-A, -B, and -DRB1. Since 1991 Brazil has maintained the DATASUS database, a system fed with epidemiological and health data from compulsory registration throughout the country. In this work, we perform spatial analysis and georeferencing of HLA genetic data from more than 86,000 bone marrow donors from Rio Grande do Sul (RS) and data of hospitalization for rheumatoid arthritis, multiple sclerosis and Crohn's disease in RS, comprising the period from 1995 to 2016 obtained through the DATASUS system. The allele frequencies were georeferenced using Empirical Bayesian Kriging; the diseases prevalence were georeferenced using Inverse Distance Weighted and cluster analysis for both allele and disease were performed using Getis-Ord Gi* method. Spearman's test was used to test the correlation between each allele and diseas...Continue Reading

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Citations

Oct 10, 2019·HLA : Immune Response Genetics·Juliano A BoquettNelson J R Fagundes
Mar 17, 2020·Journal of Biosocial Science·Augusto César Cardoso-Dos-SantosLavinia Schuler-Faccini
May 30, 2020·International Journal of Environmental Research and Public Health·Lucas SchroederVinicius Francisco Rofatto

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Methods Mentioned

BETA
Genotyping

Software Mentioned

Hot
Ord Gi
REDOME
Rstudio
Getis
stats
GIS
GENE [ RATE ]
SPSS
DATASUS

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