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Genotype-by-environment interactions in chronic back pain.
Kuznetsov, Ivan A; Tsepilov, Yakov A; Freidin, Maxim B; Williams, Frances M K; Suri, Pradeep; Aulchenko, Yurii S.
Affiliation
  • Kuznetsov IA; Center of Life Sciences, Skolkovo Institute of Science and Technology, 30 bld.1 Bolshoy Boulevard, Moscow 121205, Russia.
  • Tsepilov YA; Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 10 Lavrentiev Ave, Novosibirsk, 630090, Russia; Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, 1 Pirogova St, Novosibirsk, 630090, Russia; Kurchatov genomics center of
  • Freidin MB; Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End Rd, Bethnal Green, London E1 4DQ, UK.
  • Williams FMK; Department of Twin Research and Genetic Epidemiology, King's College London, Westminster Bridge Rd, London SE1 7EH, UK.
  • Suri P; Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, 1660 S. Columbian Way, Seattle, WA 98108, USA; Division of Rehabilitation Care Services, 1660 S. Columbian Way, Seattle, WA 98108, USA; Clinical Learning, Evidence, and Research Center, University of Washington
  • Aulchenko YS; Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 10 Lavrentiev Ave, Novosibirsk, 630090, Russia; PolyOmica, Het Vlaggeschip 61, 's-Hertogenbosch, PA 5237, The Netherlands. Electronic address: y.s.aulchenko@polyomica.com.
Spine J ; 23(8): 1108-1114, 2023 08.
Article in En | MEDLINE | ID: mdl-37080360
ABSTRACT
BACKGROUND CONTEXT Chronic back pain (CBP) is a common debilitating condition with substantial societal impact. While understanding genotype-by-environment (GxE) interactions may be crucial to achieving the goals of personalized medicine, there are few large-scale studies investigating this topic for CBP. None of them systematically explore multiple CBP risk factors.

PURPOSE:

To estimate the extent to which genetic effects on CBP are modified by known demographic and clinical risk factors. RESEARCH

DESIGN:

Case-control study, genome-wide GxE interaction study. PATIENT SAMPLE Data on up to 331,610 unrelated participants (57,881 CBP cases and 273,729 controls) from the UK Biobank cohort were used. UK Biobank is a prospective cohort with collected deep genetic and phenotypic data on approximately 500,000 individuals across the UK. OUTCOME

MEASURES:

Self-reported chronic back pain.

METHODS:

We applied a whole-genome approach to estimate the proportion of phenotypic variance explained by interactions between genotype and 12 known risk factors. We also analyzed if effects of common single-nucleotide polymorphisms on CBP are changed in presence of known risk factors.

RESULTS:

The results indicate a modest, if any, modification of genetic effects by examined risk factors in CBP. Our estimates suggest that detecting such weak effects would require a sample size of millions of individuals.

CONCLUSIONS:

The GxE interactions with examined common risk factors for CBP are either weak or absent. Interactions of such magnitude are unlikely to have the potential to inform and influence treatment strategies. Risk estimation models may use common genetic variation and the considered risk factors as independent predictors, without accounting for GxE.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Back Pain / Gene-Environment Interaction Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Spine J Journal subject: ORTOPEDIA Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Back Pain / Gene-Environment Interaction Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Spine J Journal subject: ORTOPEDIA Year: 2023 Document type: Article Affiliation country: