TY - JOUR
T1 - Polygenic risk scores indicates genetic overlap between peripheral pain syndromes and chronic postsurgical pain
AU - van Reij, Roel R.
AU - Voncken, Jan Willem
AU - Joosten, Elbert A. J.
AU - van den Hoogen, Nynke J.
N1 - Funding Information:
This work was supported by funds made available by Department of Anaesthesiology (Maastricht University Medical Center (MUMC+), and School of Mental Health, and Neuroscience (MHeNS, University of Maastricht). NvdH is now employed at Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada. + Availability of data
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/7
Y1 - 2020/7
N2 - Chronic postsurgical pain (CPSP) is a debilitating chronic pain condition that has a substantial effect on quality of life. CPSP shows considerable clinical overlap with different chronic peripheral pain syndromes, suggesting a shared aetiology. This study aims to assess the genetic overlap between different chronic pain syndromes and CPSP, providing relevant biological context for potential chronic pain markers of CPSP. To analyse the genetic overlap between CPSP and chronic peripheral pain syndromes, recent GWAS studies were combined for polygenic risk scores (PRS) analysis, using a cohort of CPSP patients as starting point. Biological contextualisation of genetic marker, overlap between CPSP and chronic pain syndromes, was assessed through Gene Ontology (GO), using Pathway Scoring Algorithm (PASCAL) and REVIGO. PRS analyses suggest a significant genetic overlap between CPSP and 3 chronic pain disorders: chronic widespread pain (CWP, p value threshold = 0.003, R-2 0.06, p = 0.003), rheumatoid arthritis (RA, p value threshold = 0.0177, R-2 = 0.04, p = 0.017) and possibly sciatica (p value threshold = 0.00025, R-2 = 0.03, p = 0.045). Whereas no significant genetic overlap was found with cluster headache and migraine, the outcome for osteoarthritis (OA) was inconsistent between the cohorts. This is likely related to cohort composition, as repeated random reallocation of patients' nullified CPSP/OA outcome variation between the discovery and replication cohorts. GO analyses suggested an aetiological involvement of genetic markers that control neurological signalling (specifically sodium channels) and inflammatory response. The current study reaffirms the impact of sample size, cohort composition and open data accessibility on the unbiased identification of genetic overlap across disorders. In conclusion, this study is the first to report genetic overlap between regulatory processes implicated in CPSP and chronic peripheral pain syndromes. Interaction between neurological signalling and inflammatory response may explain the genetic overlap between CPSP, CWP and RA. Enhanced understanding of mechanisms underlying chronification of pain will aid the development of new therapeutic strategies for CPSP with sodium channel biochemistry as a potential candidate.
AB - Chronic postsurgical pain (CPSP) is a debilitating chronic pain condition that has a substantial effect on quality of life. CPSP shows considerable clinical overlap with different chronic peripheral pain syndromes, suggesting a shared aetiology. This study aims to assess the genetic overlap between different chronic pain syndromes and CPSP, providing relevant biological context for potential chronic pain markers of CPSP. To analyse the genetic overlap between CPSP and chronic peripheral pain syndromes, recent GWAS studies were combined for polygenic risk scores (PRS) analysis, using a cohort of CPSP patients as starting point. Biological contextualisation of genetic marker, overlap between CPSP and chronic pain syndromes, was assessed through Gene Ontology (GO), using Pathway Scoring Algorithm (PASCAL) and REVIGO. PRS analyses suggest a significant genetic overlap between CPSP and 3 chronic pain disorders: chronic widespread pain (CWP, p value threshold = 0.003, R-2 0.06, p = 0.003), rheumatoid arthritis (RA, p value threshold = 0.0177, R-2 = 0.04, p = 0.017) and possibly sciatica (p value threshold = 0.00025, R-2 = 0.03, p = 0.045). Whereas no significant genetic overlap was found with cluster headache and migraine, the outcome for osteoarthritis (OA) was inconsistent between the cohorts. This is likely related to cohort composition, as repeated random reallocation of patients' nullified CPSP/OA outcome variation between the discovery and replication cohorts. GO analyses suggested an aetiological involvement of genetic markers that control neurological signalling (specifically sodium channels) and inflammatory response. The current study reaffirms the impact of sample size, cohort composition and open data accessibility on the unbiased identification of genetic overlap across disorders. In conclusion, this study is the first to report genetic overlap between regulatory processes implicated in CPSP and chronic peripheral pain syndromes. Interaction between neurological signalling and inflammatory response may explain the genetic overlap between CPSP, CWP and RA. Enhanced understanding of mechanisms underlying chronification of pain will aid the development of new therapeutic strategies for CPSP with sodium channel biochemistry as a potential candidate.
KW - CPSP
KW - GWAS
KW - PRS
KW - SNPs
KW - Gene ontology
KW - GENOME-WIDE ASSOCIATION
KW - SINGLE NUCLEOTIDE POLYMORPHISMS
KW - SUSCEPTIBILITY LOCI
KW - MECHANISMS
KW - PATHOPHYSIOLOGY
KW - FIBROMYALGIA
KW - METAANALYSIS
KW - MANAGEMENT
KW - IMPUTATION
KW - DIAGNOSIS
U2 - 10.1007/s10048-020-00614-5
DO - 10.1007/s10048-020-00614-5
M3 - Article
C2 - 32377986
SN - 1364-6745
VL - 21
SP - 205
EP - 215
JO - Neurogenetics
JF - Neurogenetics
IS - 3
ER -