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Orthopaedic Proceedings
Vol. 104-B, Issue SUPP_9 | Pages 15 - 15
1 Oct 2022
Compte R Freidin M Williams F
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Background

Intervertebral disc degeneration (DD) is a complex age-related condition that constitutes the main risk factor for disabling back pain. DD is assessed using different traits extracted from MR imaging (MRI), normally combined to give summary measures (e.g. Pfirmann score). The aetiology of DD is poorly understood and despite its high heritability (75%), the precise genetic predisposition is yet to be defined. Genome wide association study (GWAS) is used to discover genetic variants associated with a disease or phenotype. It tests variants across the whole genome. It requires large samples to provide adequate but unfortunately there is poor availability of spine imaging data due to the high cost of MRI. We have adopted new methods to examine different MRI traits independently and use the information of those traits to boost GWAS power using specialized statistical software for jointly analyse correlated traits.

Methods/Results

We examined DD MRI features disc narrowing, disc bulge, disc signal intensity and osteophyte formation in the TwinsUK cohort who had undergone T2-weighted sagittal spine MRI. GWAS were performed on the four traits. MTAG software was used to boost single trait GWAS power using the information in the other trait GWAS. 9 different loci were identified.


Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_10 | Pages 1 - 1
1 Oct 2019
Freidin M Wells P Stalteri M Williams F
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Objective

Modic changes (MC) is a form of intervertebral disc degeneration visible as subchondral and vertebral bone marrow changes on spine magnetic resonance (MR). Their etiology is not understood, but microbial infection may be involved for some subtypes. This study set out to test for an association between MC and gut microbiome in a population sample.

Methods

Presence of MC was evaluated in lumbar MR images and gut microbiome assessed using 16S sequencing in TwinsUK dataset (N=309). Cases were identified by the presence of MC of any type, while controls were those without MC. Amplicon sequence variants (ASVs) have been obtained for 16S sequences followed by relative abundance calculation and centred log-ratio transformation. Linear mixed-effects models were applied to test for association between the ASVs at different taxon levels and MC adjusting for technical covariates and demographics.


Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_9 | Pages 26 - 26
1 Sep 2019
Freidin M Aulchenko Y Lauc G Williams F
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Objective

Low back pain (LBP) is a common debilitating condition with great socioeconomic impact. Identifying individuals at risk of LBP is challenging. We have shown IgG N-glycans are associated with LBP. Herewith, we used polygenic risk scores (PRS) from IgG-glycome to test predictability for LBP.

Methods

Clusters of IgG-glycans were identified using weighted correlation network approach in TwinsUK (n = 4246). Genome-wide association studies were carried out for the clusters and top associated SNPs (p<5e-8) were extracted. Weighted PRS was calculated as the sum of the number of copies of effect allele from GWAS multiplied by their effect size using the UK Biobank data (n = 350000). The predictive capacity of the PRS for back pain in UK Biobank was estimated using logistic regression.


Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_9 | Pages 24 - 24
1 Sep 2019
Freidin M Kraatari M Skarp S Määttä J Kettunen J Niinimäki J Karppinen J Männikkö M Williams F
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Objective

Modic changes (MC), a form of intervertebral disc degeneration visible as subchondral and vertebral bone marrow changes on spine magnetic resonance (MR), are known to be associated with low back pain. This study aimed to identify genes contributing to the development of MC using genome-wide association study.

Methods

Presence of MC was evaluated in lumbar MR images in the Northern Finland Birth Cohort 1966 (NFBC1966, N=1182) and TwinsUK (N=647). Genome-wide association analyses were carried out in the cohorts separately using a linear regression model fitted to test for additive effects of SNPs and adjusting for age, sex, BMI, and either family relatedness via a kinship matrix (TwinsUK) or population stratification using principal components (NFBC1966). Meta-analysis of the two studies was carried out using the inverse-variance weighting approach.


Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_9 | Pages 25 - 25
1 Sep 2019
Williams F Palmer M Tsepilov Y Freidin M Boer C Yau M Evans D Gelemanovic A Bartz T Nethander M Arbeeva L Karssen L Neogi T Campbell A Mellstrom D Ohlsson C Marshall L Orwoll E Uitterlinden A Rotter J Lauc G Psaty B Karlsson M Lane N Jarvik G Polasek O Hochberg M Jordan J van Meurs J Jackson R Nielson C Mitchell B Smith B Hayward C Smith N Aulchenko Y Suri P
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Purpose

Back pain is the primary cause of disability worldwide yet surprisingly little is known of the underlying pathobiology. We conducted a genome-wide association study (GWAS) meta-analysis of chronic back pain (CBP). Adults of European ancestry from 15 cohorts in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and UK Biobank were studied.

Methods

CBP cases were defined as reporting back pain present for ≥3–6 months; non-cases were included as comparisons (“controls”). Each cohort conducted genotyping followed by imputation. GWAS used logistic regression with additive genetic effects adjusting for age, sex, study-specific covariates, and population substructure. Suggestive (p<5×10–7) & genome-wide significant (p<5×10–8) variants were carried forward for replication in an independent sample of UK Biobank participants. Discovery sample n = 158,025 individuals, including 29,531 CBP cases.


Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_9 | Pages 23 - 23
1 Sep 2019
Munir S Freidin M Rade M Määttä J Livshits G Williams F
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Background

Endplate defect is an MRI trait, found to be associated with intervertebral disc degeneration. There is a lack of understanding regarding the mechanism underlying lumbar disc degeneration (LDD). This large-scale longitudinal population-based study aimed to determine the order of appearance of degenerative change in the vertebral body and intervertebral disc, the influence of endplate degeneration on LBP and whether there is a genetic influence on endplate damage.

Methods

Individuals from the TwinsUK spine study having longitudinal T2-weighted lumbar MRI scans at baseline (n=996) and a decade later (n=438) were included. LDD, vertebral endplate defect expressed as a total endplate (TEP) score and Modic change (MC) were assessed using standard techniques. Mixed-effects models were used to determine the association between spine pathology features adjusted for covariates. Endplate defect heritability was estimated using variance component analysis.


Orthopaedic Proceedings
Vol. 99-B, Issue SUPP_10 | Pages 20 - 20
1 May 2017
Awuzudike V Fabiane S Freidin M Williams F
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Objectives

A single degenerate intervertebral disc is suggested to promote rapid degeneration in its adjacent discs. We validated this hypothesis using discordant co-twin case-control design.

Methods

185 pairs of twins were selected from the TwinsUK database having cervical MRI scans at baseline and at follow-up, after 10 years. Isolated disc degeneration (IDD) was diagnosed in subjects having severe loss in disc height (graded 3/3) in a single disc, whilst discs immediately adjacent manifested little or no degeneration (graded 0 or 1). The controls' ‘adjacent discs’ were considered at the same levels as their affected co-twins.