Literature DB >> 9583236

Longitudinal genetic analysis of menstrual flow, pain, and limitation in a sample of Australian twins.

S A Treloar1, N G Martin, A C Heath.   

Abstract

Genetically informative longitudinal data about menstrual disorders allow us to address the extent to which the same genetic risk mechanisms are operating throughout the reproductive life cycle. We investigate the relative contributions of genes and environment to individual differences in menstrual symptomatology reported at two waves, 8 years apart, of a longitudinal Australian twin study. Twins were questioned in 1980-1982 and 1988-1990 about levels of menstrual pain, flow, and perceived limitation by menses. Longitudinal genetic analysis was based on 728 pairs (466 MZ and 262 DZ) who were regularly menstruating at both survey waves. A bivariate Cholesky model was fitted to the two-wave data separately for flow, pain, and limitation variables. The baseline model comprised common genetic and environmental factors influencing responses at both waves and specific effects influencing only the second-wave response. We also included age as a covariate in the model. Proportions of the longitudinally stable variance in menstrual flow, pain, and limitation attributable to genetic and individual environmental effects were calculated for the best-fitting models. Genetic factors accounted for 39% of the longitudinally stable variation in menstrual flow, 55% for pain, and 77% for limitation. The remaining stable variance was due to individual environmental factors (61, 45, and 23%, respectively). Therefore the stable variance over the 8-year interval was largely environmentally influenced for menstrual flow, was approximately equally determined by genetic and by nonshared environmental influences in the case of pain, and was due almost entirely to genetic influences for limitation by periods. We demonstrate for the first time that the same genetic influences are operative throughout the reproductive life span.

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Year:  1998        PMID: 9583236     DOI: 10.1023/a:1021419907305

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  13 in total

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Review 2.  The genetic mediation of individual differences in sensitivity to pain and its inhibition.

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Review 3.  The mu opiate receptor as a candidate gene for pain: polymorphisms, variations in expression, nociception, and opiate responses.

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Review 4.  Pharmacogenomics of Pain Management: The Impact of Specific Biological Polymorphisms on Drugs and Metabolism.

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Review 5.  Chronic pelvic pain and endometriosis: translational evidence of the relationship and implications.

Authors:  Pamela Stratton; Karen J Berkley
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6.  CYP1A1 gene polymorphisms in modifying the association between passive smoking and primary dysmenorrhea.

Authors:  Na Li; Hong Liu; Changzhong Chen; Fan Yang; Zhiping Li; Zhian Fang; Lihua Wang; Yonghua Hu; Dafang Chen
Journal:  Ann Epidemiol       Date:  2007-08-28       Impact factor: 3.797

7.  Passive smoking, Cyp1A1 gene polymorphism and dysmenorrhea.

Authors:  Hong Liu; Fan Yang; Zhiping Li; Changzhong Chen; Zhian Fang; Lihua Wang; Yonghua Hu; Dafang Chen
Journal:  Reprod Toxicol       Date:  2007-05-07       Impact factor: 3.143

Review 8.  Genetic contributions to clinical pain and analgesia: avoiding pitfalls in genetic research.

Authors:  Hyungsuk Kim; David Clark; Raymond A Dionne
Journal:  J Pain       Date:  2009-07       Impact factor: 5.820

9.  The association of dysmenorrhea with noncyclic pelvic pain accounting for psychological factors.

Authors:  Allyson M Westling; Frank F Tu; James W Griffith; Kevin M Hellman
Journal:  Am J Obstet Gynecol       Date:  2013-08-22       Impact factor: 8.661

10.  The human μ-opioid receptor gene polymorphism (A118G) is associated with head pain severity in a clinical cohort of female migraine with aura patients.

Authors:  S Menon; R A Lea; B Roy; M Hanna; S Wee; L M Haupt; L R Griffiths
Journal:  J Headache Pain       Date:  2012-06-30       Impact factor: 7.277

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