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Genetic and Environmental Risk for Chronic Pain and the Contribution of Risk Variants for Major Depressive Disorder: A Family-Based Mixed-Model Analysis.

PLoS medicine | 2016

Chronic pain is highly prevalent and a significant source of disability, yet its genetic and environmental risk factors are poorly understood. Its relationship with major depressive disorder (MDD) is of particular importance. We sought to test the contribution of genetic factors and shared and unique environment to risk of chronic pain and its correlation with MDD in Generation Scotland: Scottish Family Health Study (GS:SFHS). We then sought to replicate any significant findings in the United Kingdom Biobank study.

Pubmed ID: 27529168 RIS Download

Research resources used in this publication

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Associated grants

  • Agency: Chief Scientist Office, United Kingdom
    Id: CZD/16/6
  • Agency: Wellcome Trust, United Kingdom
    Id: 104036
  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_U127561128
  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_U127592696
  • Agency: Wellcome Trust, United Kingdom
  • Agency: Medical Research Council, United Kingdom
    Id: MR/K026992/1

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This is a list of tools and resources that we have found mentioned in this publication.


UK Biobank (tool)

RRID:SCR_012815

Biobank provides data collected at Assessment Center and via online questionnaires on participants aged 40-69 years recruited throughout United Kingdom and provides summary information to improve prevention, diagnosis and treatment of serious and life threatening illnesses.

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PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

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