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The importance of genetic factors for the development of arthropathy: a longitudinal study of children and adolescents with haemophilia A

  1. Author:
    Gomperts, Edward D.
    Schwartz, John
    Donfield, Sharyne M.
    Lail, Alice E.
    Astermark, Jan
    Hoots, W. Keith
    Winkler, Cheryl
    Berntorp, Erik
  2. Author Address

    Univ Southern Calif, Keck Sch Med, Los Angeles, CA 90033 USA.Childrens Hosp Los Angeles, Los Angeles, CA 90027 USA.Rho Inc, Dept Biostat, Chapel Hill, NC USA.Lund Univ, Ctr Thrombosis & Haemostasis, Malmo, Sweden.NHLBI, Div Blood Dis & Resources, NIH, Bldg 10, Bethesda, MD 20892 USA.NCI, Basic Res Lab, Ctr Canc Res, NIH,Leidos Biomed Res Inc,Frederick Natl Lab Canc, Frederick, MD 21701 USA.
    1. Year: 2017
    2. Date: Feb
  1. Journal: THROMBOSIS AND HAEMOSTASIS
  2. SCHATTAUER GMBH-VERLAG MEDIZIN NATURWISSENSCHAFTEN,
    1. 117
    2. 2
    3. Pages: 277-285
  3. Type of Article: Article
  4. ISSN: 0340-6245
  1. Abstract:

    Haemophilia A is a congenital bleeding disorder characterised by recurrent haemorrhages into the major joints. Haemophilic arthropathy is a well-established outcome of recurrent joint bleeding; however, it is clear that multiple factors determine the extent and severity of its occurrence. We sought to identify genetic factors related to abnormalities in range of motion (ROM) in the knees, ankles and elbows in a cohort of children and adolescents with haemophilia A not treated primarily with regular prophylaxis. Using data from the Haemophilia Growth and Development Study, we examined associations between 13,342 genetic markers and ROM scores measured at six-month intervals for up to seven years. As a first step, ordered logistic regression models were fit for each joint separately. A subset of SNP markers showing significant effects (p< 0.01) on the right and left sides for at least two joints were included in a full model fit using a multivariate generalised linear mixed model assuming an ordinal response. The models contained all ROM scores obtained at all visits. Twenty-five markers analysed in the full model showed either increased or decreased risk of ROM abnormalities at the p< 0.001 level. Several genes identified at either the first or second stage of the analysis have been associated with arthritis in a variety of large studies. Our results support the likelihood that risk for haemophilic arthropathy is associated with genetic factors, the identification of which holds promise for further advancing the individualisation of treatment.

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External Sources

  1. DOI: 10.1160/TH16-06-0440
  2. PMID: 27929201
  3. WOS: 000393358700010

Library Notes

  1. Fiscal Year: FY2016-2017
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