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Orthopaedic Proceedings
Vol. 98-B, Issue SUPP_6 | Pages 18 - 18
1 Feb 2016
Fabiane S Ward K Williams F
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Background and aims:

T2D is postulated to be an important aetiological factor for lumbar disc degeneration (LDD), which itself has a well documented relationship with low back pain. Obesity increases risk of both T2D, low back pain and LDD. Connective tissue modification has been reported in hyperglycaemia, but the epidemiology of LDD in T2D has not been described to date.

Methods and results:

A population sample of unselected same-sex adult twin pairs was studied who had attended a spine MR study and completed general health questionnaires defining T2D by self-report. LDD had been coded as the sum of five lumbar discs coded (0–3) for each of height, signal intensity, disc bulge and anterior osteophytes. Risk factors for LDD included age, body-mass index (BMI), sex, alcohol consumption and smoking.

Mean age of the 1011 participants = 54 years (sd=8), mean BMI=25 kg/m2 (sd=4), 95% female. The prevalence of T2D was 6%. Twins with T2D had increased BMI (27 vs 25 kg/m2, p<0.001) and were older (59 vs 54 years, p<0.001). LDD score in T2D was significantly higher in diabetic cases than controls (14.9 vs 13.1, p=0.04) in univariable analysis. In multivariable analysis inclusion of age and BMI abrogated the effect of T2D.


Orthopaedic Proceedings
Vol. 94-B, Issue SUPP_XXVII | Pages 45 - 45
1 Jun 2012
Chettier R Nelson L Ogilvie J Macina R Ward K
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Introduction

Several disorders have been associated with genetic variants. Copy number variations (CNVs) are documented micro DNA insertions and deletions that may be ten times more frequent than point mutations. We undertook a genome-wide scan to find CNVs associated with adolescent idiopathic scoliosis (AIS).

Methods

879 white individuals with AIS severe spine curvatures and 1486 white controls were evaluated for CNVs with the Affymetrix 6.0 HUSNP array. After implementation of quality filters, data were quantile normalised. Copy number analysis was done with Helix Tree (Golden Helix, Bozeman, MT, USA). The copy number segments were measured with the Golden Helix's univariate segmentation algorithm. Statistically different segments were extracted with mean Log2 ratio intensity for that segment to highlight deletions, neutrals, and duplications. We then undertook association analysis on those segments. A p value of less than 10–7 was regarded as significant.