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Development of a New Method to Prioritise Gene Analysis in Familial Hypertrophic Cardiomyopathy Jayne Duncan West of Scotland Regional Genetics Service, Glasgow Familial Hypertrophic Cardiomyopathy (FHC) • Autosomal dominant disorder showing variable penetrance and age of onset. • Affects approximately 1/500 adults and is the most common cause of sudden death in young healthy individuals. • So far mutations in over 20 genes have been associated with FHC Primary Clinical Features of FHC • Left ventricular hypertrophy, “a thickening of the tissue due to increased size of the constituent cells”. • Myocyte/myofibrillar disarray caused by the abnormal shapes, intracellular connections and arrangement of the hypertrophic myocytes and fibrosis. 1 http://www.maxshouse.com 2 Arad et al 2002 Hum Mol Genet. 11. (20) 2499-2506 Genotype Phenotype Correlation The Heterogeneous Nature of FHC • HCM is caused by dominant mutations in the sarcomeric genes. • de novo mutations occur rarely and account for approximately 10% of cases. • Mutations in the sarcomeric genes account for ~55% of cases of HCM. • Syndromes such as the Glycogen storage disorders and Friedreich ataxia can mimic HCM. Glasgow Linkage Exclusion Analysis Method (GLEAM) • Glasgow Linkage Exclusion Analysis Method (GLEAM) • Novel method to prioritise gene analysis in heterogeneous disorders • A gene is excluded from analysis when affected relatives are oppositely homozygous for SNPs in and around the gene of interest GLEAM I:1 I:2 II:1 II:2 II:3 BB AB AA III:1 BB III:2 AB II:4 AB III:3 III:4 AB AA • A and B represent alleles at a susceptibility locus for a dominantly inherited disorder affecting individuals II:2, II:3, III:1 and III4. • Since III:1 has no allele in common with II:3 or III:4 it effectively rules out this locus as being responsible for the disease in this family. Genes analysed in the FHC Project Gene Name Chromosome No Exons No SNPs TTN 2 363 212 MYH7 14 38 76 MYH6 14 37 77 MYBPC3 11 35 147 RAF1 3 16 163 PRKAG2 7 16 146 TPM1 15 16 132 TNNT2 1 15 116 MYLK2 20 12 94 TNNI3 19 8 92 MYL3 3 7 89 MYL2 12 7 94 CAV3 3 2 98 SNP Analysis Platform Sentrix Array Matrix • 96 fibre optic bundles on each plate • Each fibre contains a bead that corresponds to each SNP • Image taken from www.Illumina.com Results- Raw Data Raw data for one patient sample Results- Raw Data AA AB BB Clustered patient SNP data for a single SNP locus Results- Genotype Comparisons Results Relationship Number of pairs Average number of genes excluded Sibs Aunt/Niece Nephew 49 22 3 5 First Cousins First Cousins once removed 10 5 7 8 Second Cousins Grandparent/ Grandchild 9 1 7 2 Results Gene Number of times gene excluded Percentage number of times gene excluded TTN 34/96 35% MYH6 and MYH7 33/96 34% MYBPC3 28/96 29% RAF1 23/96 24% PRKAG2 47/96 49% TPM1 29/96 30% TNNT2 39/96 41% MYLK2 40/96 42% TNNI3 34/96 35% MYL3 33/96 34% MYL2 26/96 27% CAV3 40/96 42% Interesting Case I:1 II:1 III:1 IV:1 IV:2 H15.1 H15.4 I:2 II:2 II:3 III:2 III:3 III:4 IV:3 IV:4 IV:5 H15.7 TNNI3/ TNNI3/ MYBPC3 MYBPC3 MYBPC3 H15.14 TNNI3 H15.15 TNNI3 II:4 III:5 III:6 III:7 IV:6 H15.16 TNNI3 H15.12 TNNI3 Interesting Case • Familial mutation in TNNI3 was not excluded in all affected family members. • Comparisons between H15.1, H15.4 and H15.7 did not exclude MYBPC3. • MYBPC3 was excluded when H15.1, H15.4 and H15.7 were compared against other family members who did not have this mutation. • Testing for the TNNI3 mutation in H15.7 would have been negative and suggested a second mutation prompting further analysis. Conclusions • For all the pedigrees with one known mutation, this gene was not excluded in any of the analyses performed. • More genes tend to be excluded when more distantly related individuals such as first cousins or aunt/niece, nephew pairs are considered, rather than more closely related sibs • GLEAM can be used to determine the order in which genes are sequenced in heterogeneous disorders Acknowledgements • Scottish Health Innovations Ltd • Dr Wai Lee & Dr Stewart Lang, British Heart Foundation, Glasgow Cardiovascular Research Centre, University of Glasgow. Dr Petros Syrris, Department of Medicine, University College London