Literature DB >> 18938094

Clustering of symptoms associated with fibromyalgia in a Finnish Twin Cohort.

Ritva Markkula1, Pentti Järvinen, Päivi Leino-Arjas, Markku Koskenvuo, Eija Kalso, Jaakko Kaprio.   

Abstract

The objective was to assess the prevalence and heritability of symptoms associated with fibromyalgia in a population-based working-age twin sample. The study was based on the 12,502 like-sexed twins of the Finnish Twin Cohort and 49 diagnosed fibromyalgia patients who answered the same questionnaire in 1990-1992. Questions that were considered to best match symptoms of fibromyalgia were validated between the twins and the fibromyalgia patients. Latent class analysis was used to classify the subjects into more homogeneous groups with respect to the symptom items. The pairwise distribution of symptom classes in relation to zygosity and gender was modelled using quantitative genetic models to estimate heritability. Responses to all fibromyalgia-related items were obtained from 10,608 twins. A similar proportion of men (12%) and women (13%) was placed in the third latent class, which best represented possible fibromyalgia patients. Subjects in this class had a similar symptom profile as the diagnosed fibromyalgia patient group, but they were less severely affected. The two other latent classes represented subjects that were virtually symptom free and subjects with some symptoms. The heritability of liability to symptom class membership was estimated to be 51% (95% CI 45-56%). The prevalence of symptoms associated with fibromyalgia in our population-based sample unselected for disease status was comparable to the prevalence of widespread pain reported in population based studies. The symptoms known to be associated with fibromyalgia seem to have a strong genetic background.

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Year:  2008        PMID: 18938094     DOI: 10.1016/j.ejpain.2008.09.007

Source DB:  PubMed          Journal:  Eur J Pain        ISSN: 1090-3801            Impact factor:   3.931


  19 in total

1.  Potential genetic risk factors for chronic TMD: genetic associations from the OPPERA case control study.

Authors:  Shad B Smith; Dylan W Maixner; Joel D Greenspan; Ronald Dubner; Roger B Fillingim; Richard Ohrbach; Charles Knott; Gary D Slade; Eric Bair; Dustin G Gibson; Dmitri V Zaykin; Bruce S Weir; William Maixner; Luda Diatchenko
Journal:  J Pain       Date:  2011-11       Impact factor: 5.820

2.  Chronic pain, overweight, and obesity: findings from a community-based twin registry.

Authors:  Lisa Johnson Wright; Ellen Schur; Carolyn Noonan; Sandra Ahumada; Dedra Buchwald; Niloofar Afari
Journal:  J Pain       Date:  2010-03-24       Impact factor: 5.820

3.  PREDICTING LATENT CLASS SCORES FOR SUBSEQUENT ANALYSIS.

Authors:  Janne Petersen; Karen Bandeen-Roche; Esben Budtz-Jørgensen; Klaus Groes Larsen
Journal:  Psychometrika       Date:  2012-04-01       Impact factor: 2.500

4.  Profile of circulating microRNAs in fibromyalgia and their relation to symptom severity: an exploratory study.

Authors:  Jan L Bjersing; Maria I Bokarewa; Kaisa Mannerkorpi
Journal:  Rheumatol Int       Date:  2014-09-28       Impact factor: 2.631

5.  Heritability and mortality risk of insomnia-related symptoms: a genetic epidemiologic study in a population-based twin cohort.

Authors:  Christer Hublin; Markku Partinen; Markku Koskenvuo; Jaakko Kaprio
Journal:  Sleep       Date:  2011-07-01       Impact factor: 5.849

Review 6.  Treatment of fibromyalgia.

Authors:  Richard Kwiatek
Journal:  Aust Prescr       Date:  2017-10-03

Review 7.  The phenotypic and genetic signatures of common musculoskeletal pain conditions.

Authors:  Luda Diatchenko; Roger B Fillingim; Shad B Smith; William Maixner
Journal:  Nat Rev Rheumatol       Date:  2013-04-02       Impact factor: 20.543

8.  COMT moderates the relation of daily maladaptive coping and pain in fibromyalgia.

Authors:  Patrick H Finan; Alex J Zautra; Mary C Davis; Kathryn Lemery-Chalfant; Jonathan Covault; Howard Tennen
Journal:  Pain       Date:  2010-12-03       Impact factor: 6.961

Review 9.  [Fibromyalgia].

Authors:  M Späth
Journal:  Z Rheumatol       Date:  2011-09       Impact factor: 1.372

10.  Identification of symptom and functional domains that fibromyalgia patients would like to see improved: a cluster analysis.

Authors:  Robert M Bennett; Jon Russell; Joseph C Cappelleri; Andrew G Bushmakin; Gergana Zlateva; Alesia Sadosky
Journal:  BMC Musculoskelet Disord       Date:  2010-06-28       Impact factor: 2.362

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