Abstract

Chronic pain is a complex trait that is moderately heritable and genetically, as well as phenotypically, correlated with major depressive disorder (MDD). Use of the conditional false discovery rate (cFDR) approach, which leverages pleiotropy identified from existing GWAS outputs, has been successful in discovering novel associated variants in related phenotypes. Here, genome-wide association study outputs for both von Korff chronic pain grade and for MDD were used to identify variants meeting a cFDR threshold for each outcome phenotype separately, as well as a conjunctional cFDR (ccFDR) threshold for both phenotypes together. Using a moderately conservative threshold, we identified a total of 11 novel single nucleotide polymorphisms (SNPs), six of which were associated with chronic pain grade and nine of which were associated with MDD. Four SNPs on chromosome 14 were associated with both chronic pain grade and MDD. SNPs associated only with chronic pain grade were located within SLC16A7 on chromosome 12. SNPs associated only with MDD were located either in a gene-dense region on chromosome 1 harbouring LINC01360, LRRIQ3, FPGT and FPGT-TNNI3K, or within/close to LRFN5 on chromosome 14. The SNPs associated with both outcomes were also located within LRFN5. Several of the SNPs on chromosomes 1 and 14 were identified as being associated with expression levels of nearby genes in the brain and central nervous system. Overall, using the cFDR approach, we identified several novel genetic loci associated with chronic pain and we describe likely pleiotropic effects of a recently identified MDD locus on chronic pain.

Details

Title
Identification of novel common variants associated with chronic pain using conditional false discovery rate analysis with major depressive disorder and assessment of pleiotropic effects of LRFN5
Author
Johnston, Keira J A 1   VIAFID ORCID Logo  ; Adams, Mark J 2   VIAFID ORCID Logo  ; Nicholl, Barbara I 3 ; Ward, Joey 3 ; Strawbridge, Rona J 4   VIAFID ORCID Logo  ; McIntosh, Andrew M 2   VIAFID ORCID Logo  ; Smith, Daniel J 3 ; Bailey, Mark E S 5   VIAFID ORCID Logo 

 Institute of Health and Wellbeing, University of Glasgow, Scotland, UK; Deanery of Molecular, Genetic and Population Health Sciences, College of Medicine and Veterinary Medicine, University of Edinburgh, Scotland, UK; School of Life Sciences, College of Medical, Veterinary & Life Sciences, University of Glasgow, Scotland, UK 
 Division of Psychiatry, University of Edinburgh, Scotland, UK 
 Institute of Health and Wellbeing, University of Glasgow, Scotland, UK 
 Institute of Health and Wellbeing, University of Glasgow, Scotland, UK; Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden 
 School of Life Sciences, College of Medical, Veterinary & Life Sciences, University of Glasgow, Scotland, UK 
Pages
1-10
Publication year
2019
Publication date
Nov 2019
Publisher
Nature Publishing Group
e-ISSN
21583188
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2316417542
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.