Literature DB >> 18727671

Concordance and heritability of multiple sclerosis in Finland: study on a nationwide series of twins.

H Kuusisto1, J Kaprio, E Kinnunen, T Luukkaala, M Koskenvuo, I Elovaara.   

Abstract

OBJECTIVES: To evaluate the changes in the multiple sclerosis (MS) concordance in twins, and the contribution of genetic and environmental factors to the aetiology of MS in Finland.
BACKGROUND: Both genes and the environment contribute to the development of MS. A well-conducted twin study is an excellent means to assess the relative contribution of heritability and environmental factors.
METHODS: Multiple sclerosis concordance was assessed for 10 Monozygotic and 14 dizygotic twin pairs using pairwise and probandwise concordance rates. The tetrachoric correlations in liability to disease for twin pairs were computed and a polygenic multifactorial model was used to estimate heritability.
RESULTS: The pairwise concordance for MZ twins was 30% and for the DZ twins 14.3%, compared with 30% for MZ and 0% for DZ 20 years ago. The corresponding probandwise concordance rates were 46.2% and 25%. The genetic variance (heritability) was 15.3% (95% Cl 0.0-77.6), the common environmental variance 73.7% (95% Cl 14.1-93.9) and the unique environmental variance 11.1% (95% Cl 2.3-30.0).
CONCLUSIONS: As the concordance of MS in DZ twins has increased during the past two decades and the heritability estimate is low, it seems that the reported increase in MS incidence in Finland is mainly caused by environmental factors.

Entities:  

Mesh:

Year:  2008        PMID: 18727671     DOI: 10.1111/j.1468-1331.2008.02262.x

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  17 in total

1.  HLA-DRB1 the notorious gene in the mosaic of autoimmunity.

Authors:  María-Teresa Arango; Carlo Perricone; Shaye Kivity; Enrica Cipriano; Fulvia Ceccarelli; Guido Valesini; Yehuda Shoenfeld
Journal:  Immunol Res       Date:  2017-02       Impact factor: 2.829

Review 2.  Epigenetic changes in patients with multiple sclerosis.

Authors:  Marcus W Koch; Luanne M Metz; Olga Kovalchuk
Journal:  Nat Rev Neurol       Date:  2012-11-20       Impact factor: 42.937

3.  Integration of Genetic and Immune Infiltration Insights into Data Mining of Multiple Sclerosis Pathogenesis.

Authors:  Xiaoyun Zhang; Ying Song; Xiao Chen; Xiaojia Zhuang; Zhiqiang Wei; Li Yi
Journal:  Comput Intell Neurosci       Date:  2022-06-27

4.  Deep DNA metagenomic sequencing reveals oral microbiome divergence between monozygotic twins discordant for multiple sclerosis severity.

Authors:  Anne I Boullerne; Guy R Adami; Joel L Schwartz; Demetrios Skias; Mark Maienschein-Cline; Stefan J Green; Douglas L Feinstein
Journal:  J Neuroimmunol       Date:  2020-04-07       Impact factor: 3.478

Review 5.  Vitamin D and Genetic Susceptibility to Multiple Sclerosis.

Authors:  Concetta Scazzone; Luisa Agnello; Giulia Bivona; Bruna Lo Sasso; Marcello Ciaccio
Journal:  Biochem Genet       Date:  2020-11-07       Impact factor: 1.890

Review 6.  The Genetics of Multiple Sclerosis: From 0 to 200 in 50 Years.

Authors:  Sergio E Baranzini; Jorge R Oksenberg
Journal:  Trends Genet       Date:  2017-10-05       Impact factor: 11.639

7.  The role of epigenetic mechanisms and processes in autoimmune disorders.

Authors:  Judith M Greer; Pamela A McCombe
Journal:  Biologics       Date:  2012-09-06

8.  The genetic and environmental bases of complex human-disease: extending the utility of twin-studies.

Authors:  Douglas S Goodin
Journal:  PLoS One       Date:  2012-12-18       Impact factor: 3.240

9.  The causal cascade to multiple sclerosis: a model for MS pathogenesis.

Authors:  Douglas S Goodin
Journal:  PLoS One       Date:  2009-02-26       Impact factor: 3.240

10.  The genetic basis of multiple sclerosis: a model for MS susceptibility.

Authors:  Douglas S Goodin
Journal:  BMC Neurol       Date:  2010-10-28       Impact factor: 2.474

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.