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Genetic, household and spatial clustering of leprosy on an island in Indonesia: a population-based study

BACKGROUND: It is generally accepted that genetic factors play a role in susceptibility to both leprosy per se and leprosy type, but only few studies have tempted to quantify this. Estimating the contribution of genetic factors to clustering of leprosy within families is difficult since these person...

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Autores principales: Bakker, Mirjam I, May, Linda, Hatta, Mochammad, Kwenang, Agnes, Klatser, Paul R, Oskam, Linda, Houwing-Duistermaat, Jeanine J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1318483/
https://www.ncbi.nlm.nih.gov/pubmed/16307680
http://dx.doi.org/10.1186/1471-2350-6-40
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author Bakker, Mirjam I
May, Linda
Hatta, Mochammad
Kwenang, Agnes
Klatser, Paul R
Oskam, Linda
Houwing-Duistermaat, Jeanine J
author_facet Bakker, Mirjam I
May, Linda
Hatta, Mochammad
Kwenang, Agnes
Klatser, Paul R
Oskam, Linda
Houwing-Duistermaat, Jeanine J
author_sort Bakker, Mirjam I
collection PubMed
description BACKGROUND: It is generally accepted that genetic factors play a role in susceptibility to both leprosy per se and leprosy type, but only few studies have tempted to quantify this. Estimating the contribution of genetic factors to clustering of leprosy within families is difficult since these persons often share the same environment. The first aim of this study was to test which correlation structure (genetic, household or spatial) gives the best explanation for the distribution of leprosy patients and seropositive persons and second to quantify the role of genetic factors in the occurrence of leprosy and seropositivity. METHODS: The three correlation structures were proposed for population data (n = 560), collected on a geographically isolated island highly endemic for leprosy, to explain the distribution of leprosy per se, leprosy type and persons harbouring Mycobacterium leprae-specific antibodies. Heritability estimates and risk ratios for siblings were calculated to quantify the genetic effect. Leprosy was clinically diagnosed and specific anti-M. leprae antibodies were measured using ELISA. RESULTS: For leprosy per se in the total population the genetic correlation structure fitted best. In the population with relative stable household status (persons under 21 years and above 39 years) all structures were significant. For multibacillary leprosy (MB) genetic factors seemed more important than for paucibacillary leprosy. Seropositivity could be explained best by the spatial model, but the genetic model was also significant. Heritability was 57% for leprosy per se and 31% for seropositivity. CONCLUSION: Genetic factors seem to play an important role in the clustering of patients with a more advanced form of leprosy, and they could explain more than half of the total phenotypic variance.
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spelling pubmed-13184832006-01-09 Genetic, household and spatial clustering of leprosy on an island in Indonesia: a population-based study Bakker, Mirjam I May, Linda Hatta, Mochammad Kwenang, Agnes Klatser, Paul R Oskam, Linda Houwing-Duistermaat, Jeanine J BMC Med Genet Research Article BACKGROUND: It is generally accepted that genetic factors play a role in susceptibility to both leprosy per se and leprosy type, but only few studies have tempted to quantify this. Estimating the contribution of genetic factors to clustering of leprosy within families is difficult since these persons often share the same environment. The first aim of this study was to test which correlation structure (genetic, household or spatial) gives the best explanation for the distribution of leprosy patients and seropositive persons and second to quantify the role of genetic factors in the occurrence of leprosy and seropositivity. METHODS: The three correlation structures were proposed for population data (n = 560), collected on a geographically isolated island highly endemic for leprosy, to explain the distribution of leprosy per se, leprosy type and persons harbouring Mycobacterium leprae-specific antibodies. Heritability estimates and risk ratios for siblings were calculated to quantify the genetic effect. Leprosy was clinically diagnosed and specific anti-M. leprae antibodies were measured using ELISA. RESULTS: For leprosy per se in the total population the genetic correlation structure fitted best. In the population with relative stable household status (persons under 21 years and above 39 years) all structures were significant. For multibacillary leprosy (MB) genetic factors seemed more important than for paucibacillary leprosy. Seropositivity could be explained best by the spatial model, but the genetic model was also significant. Heritability was 57% for leprosy per se and 31% for seropositivity. CONCLUSION: Genetic factors seem to play an important role in the clustering of patients with a more advanced form of leprosy, and they could explain more than half of the total phenotypic variance. BioMed Central 2005-11-24 /pmc/articles/PMC1318483/ /pubmed/16307680 http://dx.doi.org/10.1186/1471-2350-6-40 Text en Copyright © 2005 Bakker et al; licensee BioMed Central Ltd.
spellingShingle Research Article
Bakker, Mirjam I
May, Linda
Hatta, Mochammad
Kwenang, Agnes
Klatser, Paul R
Oskam, Linda
Houwing-Duistermaat, Jeanine J
Genetic, household and spatial clustering of leprosy on an island in Indonesia: a population-based study
title Genetic, household and spatial clustering of leprosy on an island in Indonesia: a population-based study
title_full Genetic, household and spatial clustering of leprosy on an island in Indonesia: a population-based study
title_fullStr Genetic, household and spatial clustering of leprosy on an island in Indonesia: a population-based study
title_full_unstemmed Genetic, household and spatial clustering of leprosy on an island in Indonesia: a population-based study
title_short Genetic, household and spatial clustering of leprosy on an island in Indonesia: a population-based study
title_sort genetic, household and spatial clustering of leprosy on an island in indonesia: a population-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1318483/
https://www.ncbi.nlm.nih.gov/pubmed/16307680
http://dx.doi.org/10.1186/1471-2350-6-40
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