Literature DB >> 14569025

Twin concordance and sibling recurrence rates in multiple sclerosis.

C J Willer1, D A Dyment, N J Risch, A D Sadovnick, G C Ebers.   

Abstract

Size and ascertainment constraints often limit twin studies to concordance comparisons between identical and fraternal twins. Here we report the final results of a longitudinal, population-based study of twins with multiple sclerosis (MS) in Canada. Bias was demonstrably minimized, and an estimated 75% of all Canadian MS twin pairs were ascertained, giving a sample sufficiently large (n = 370) to permit additional informative comparisons. Twinning was not found to affect prevalence, and twins with MS did not differ from nontwins for DR15 allele frequency nor for MS risk to their siblings. Probandwise concordance rates of 25.3% (SE +/- 4.4) for monozygotic (MZ), 5.4% (+/-2.8) for dizygotic (DZ), and 2.9% (+/-0.6) for their nontwin siblings were found. MZ twin concordance was in excess of DZ twin concordance. The excess concordance in MZ was derived primarily from like-sexed female pairs with a probandwise concordance rate of 34 of 100 (34 +/- 5.7%) compared with 3 of 79 (3.8 +/- 2.8%) for female DZ pairs. We did not demonstrate an MZ/DZ difference in males, although the sample size was small. We observed a 2-fold increase in risk to DZ twins over nontwin siblings of twins, but the difference was not significant.

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Year:  2003        PMID: 14569025      PMCID: PMC240712          DOI: 10.1073/pnas.1932604100

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  30 in total

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  125 in total

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7.  Prevalence of Multiple Sclerosis in the Middle Black Sea Region of Turkey and Demographic Characteristics of Patients.

Authors:  Neslihan Akdemir; Murat Terzi; Nilden Arslan; Musa Onar
Journal:  Noro Psikiyatr Ars       Date:  2017-03-01       Impact factor: 1.339

Review 8.  The intelligent use and clinical benefits of electronic medical records in multiple sclerosis.

Authors:  Mary F Davis; Jonathan L Haines
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10.  Analysis of 45 candidate genes for disease modifying activity in multiple sclerosis.

Authors:  Sreeram V Ramagopalan; Gabriele C Deluca; Katie M Morrison; Blanca M Herrera; David A Dyment; Matthew R Lincoln; Sarah-Michelle Orton; Michael J Chao; Alexandra Degenhardt; Maura Pugliatti; A Dessa Sadovnick; Stefano Sotgiu; George C Ebers
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