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Hip

ELECTRONIC HEALTH RECORDS HELP ELUCIDATE THE FIRST GENOME WIDE ASSOCIATION SIGNAL FOR DEVELOPMENTAL DYSPLASIA OF THE HIP

British Hip Society meeting (BHS) March 2016



Abstract

Introduction

Although DDH is one of the most common skeletal dysplasias (incidence 1.5 cases per 1000 births), it remains slow and costly to recruit large-scale patient cohorts for powerful genetic association studies. In this work we have successfully used the NJR as a platform to generate a DDH biobank of 907 individuals, upon which we have conducted the first ever genome-wide association study (GWAS) for DDH.

Methods

5411 patients recorded as having a hip replacement for ‘hip dysplasia’ between March 2003 and December 2013 were approached to participate in the study. Following filtering by questionnaire for non-DDH cases and non-European Caucasians, 907 patients returned a completed saliva sample. A randomly selected sample of individuals participating on the UK Household Longitudinal Study that had been previously genotyped using the same platform were used as controls at a case:control ratio of 1:4. A further data set consisting of 332 cases, 1375 controls and 26 variants was used to replicate the top signals.

Results

Of 256833 variants that passed QC, 11 variants reached genome-wide significance. All these variants came from the same signal, with rs143384 as the index SNP (allele A, allele frequency 0.60, OR [95% CI] 1.58[1.40–1.77], P=1.1×10−14). Twenty-six independent variants were prioritized to follow up through de novo replication. Variant rs143384 was found to be significantly associated with DDH after meta-analysing discovery and replication datasets (allele A, allele frequency 0.60, OR [95% CI] 1.50[1.36–1.66], P=2.81×10−16).

Discussion

Using eHR case-ascertainment and distance recruitment strategies we conducted the first GWAS for DDH and confirmed association of the GDF5 variant rs143384 with DDH (P=2.81×10−16). We establish the first genome-wide significant locus for DDH, discovered through linking EHRs with genomics as a proof of principle in enabling powerful genetic association studies of relatively rare but complex diseases.