Literature DB >> 16864824

Men transmit MS more often to their children vs women: the Carter effect.

O H Kantarci1, L F Barcellos, E J Atkinson, P P Ramsay, R Lincoln, S J Achenbach, M De Andrade, S L Hauser, B G Weinshenker.   

Abstract

OBJECTIVE: Multiple sclerosis (MS) is approximately twice as common among women as men. If men have greater physiologic resistance to MS, they might theoretically require stronger genetic predisposition than women to overcome this resistance. In this circumstance, men would be expected to transmit the disease more often to their children, a phenomenon known as the Carter effect. The authors evaluated whether the Carter effect is present in MS.
METHODS: The authors studied 441 children (45 with definite MS) of an affected father or mother (197 families of interest) from 3598 individuals in 206 multiplex pedigrees. The authors compared transmission of MS from affected men with transmission from affected women.
RESULTS: Fathers with MS transmitted the disease to their children more often (transmitted: 18, not transmitted: 99) than mothers with MS (transmitted: 27, not transmitted: 296) (p = 0.032; OR: 1.99, 95% CI: 1.05, 3.77). Adjusting for both the sex of the affected child and multiple transmissions from a single affected parent, the sex of the affected parent remained as an independent risk factor for transmission of MS to children, fathers transmitting more often than mothers (p = 0.036; OR: 2.21, 95% CI: 1.05, 4.63).
CONCLUSIONS: The authors have demonstrated the Carter effect in multiple sclerosis (MS). These observations may be explained by greater genetic loading in men that leads to relative excess paternal vs maternal transmission. Linkage analysis in genetic studies of MS may be more informative if patrilineal transmission were given additional weighting.

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Year:  2006        PMID: 16864824     DOI: 10.1212/01.wnl.0000225070.13682.11

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  19 in total

1.  Aggregation of multiple sclerosis genetic risk variants in multiple and single case families.

Authors:  Pierre-Antoine Gourraud; Joseph P McElroy; Stacy J Caillier; Britt A Johnson; Adam Santaniello; Stephen L Hauser; Jorge R Oksenberg
Journal:  Ann Neurol       Date:  2011-01       Impact factor: 10.422

2.  Familial risks for amyotrophic lateral sclerosis and autoimmune diseases.

Authors:  Kari Hemminki; Xinjun Li; Jan Sundquist; Kristina Sundquist
Journal:  Neurogenetics       Date:  2008-12-17       Impact factor: 2.660

3.  Male-only systemic lupus.

Authors:  Rachna Aggarwal; Bahram Namjou; Shibo Li; Anil D'Souza; Betty P Tsao; Benjamin F Bruner; Judith A James; R Hal Scofield
Journal:  J Rheumatol       Date:  2010-05-15       Impact factor: 4.666

4.  Sex differences in the genetic architecture of obsessive-compulsive disorder.

Authors:  Ekaterina A Khramtsova; Raphael Heldman; Eske M Derks; Dongmei Yu; Lea K Davis; Barbara E Stranger
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2018-11-20       Impact factor: 3.568

5.  Polygenic threshold model with sex dimorphism in clubfoot inheritance: the Carter effect.

Authors:  Lisa M Kruse; Matthew B Dobbs; Christina A Gurnett
Journal:  J Bone Joint Surg Am       Date:  2008-12       Impact factor: 5.284

Review 6.  X chromosome inactivation and autoimmunity.

Authors:  Wesley H Brooks
Journal:  Clin Rev Allergy Immunol       Date:  2010-08       Impact factor: 8.667

7.  Risk for multiple sclerosis in relatives and spouses of patients diagnosed with autoimmune and related conditions.

Authors:  Kari Hemminki; Xinjun Li; Jan Sundquist; Jan Hillert; Kristina Sundquist
Journal:  Neurogenetics       Date:  2008-10-09       Impact factor: 2.660

Review 8.  Evaluating epigenetic landmarks in the brain of multiple sclerosis patients: a contribution to the current debate on disease pathogenesis.

Authors:  Patrizia Casaccia-Bonnefil; Giovanna Pandozy; Fabrizio Mastronardi
Journal:  Prog Neurobiol       Date:  2008-09-26       Impact factor: 11.685

9.  Association of a Family History of Atrial Fibrillation With Incidence and Outcomes of Atrial Fibrillation: A Population-Based Family Cohort Study.

Authors:  Shang-Hung Chang; Chang-Fu Kuo; I-Jun Chou; Lai-Chu See; Kuang-Hui Yu; Shue-Fen Luo; Lu-Hsiang Huang; Weiya Zhang; Michael Doherty; Ming-Shien Wen; Chi-Tai Kuo; Yung-Hsin Yeh
Journal:  JAMA Cardiol       Date:  2017-08-01       Impact factor: 14.676

10.  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

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