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Combining gene mapping and phenotype assessment for fast mutation finding in non-consanguineous autosomal recessive retinitis pigmentosa families

  作者 Hebrard, M; Manes, G; Bocquet, B; Meunier, I; Coustes-Chazalette, D; Herald, E; Senechal, A; Bolland-Auge, A; Zelenika, D; Hamel, CP  
  选自 期刊  European Journal of Human Genetics;  卷期  2011年19-12;  页码  1256-1263  
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[摘要]Among inherited retinal dystrophies, autosomal recessive retinitis pigmentosa (arRP) is the most genetically heterogenous condition with 32 genes currently known that account for similar to 60% of patients. Molecular diagnosis thus requires the tedious systematic sequencing of 506 exons. To rapidly identify the causative mutations, we devised a strategy that combines gene mapping and phenotype assessment in small non-consanguineous families. Two unrelated sibships with arRP had whole-genome scan using SNP microchips. Chromosomal regions were selected by calculating a score based on SNP coverage and genotype identity of affected patients. Candidate genes from the regions with the highest scores were then selected based on phenotype concordance of affected patients with previously described phenotype for each candidate gene. For families RP127 and RP1459, 33 and 40 chromosomal regions showed possible linkage, respectively. By comparing the scores with the phenotypes, we ended with one best candidate gene for each family, namely tubby-like protein 1 (TULP1) and C2ORF71 for RP127 and RP1459, respectively. We found that RP127 patients were compound heterozygous for two novel TULP1 mutations, p.Arg311Gln and p.Arg342Gln, and that RP1459 patients were compound heterozygous for two novel C2ORF71 mutations, p.Leu777PhefsX34 and p.Leu777AsnfsX28. Phenotype assessment showed that TULP1 patients had severe early onset arRP and that C2ORF71 patients had a cone rod dystrophy type of arRP. Only two affected individuals in each sibship were sufficient to lead to mutation identification by screening the best candidate gene selected by a combination of gene mapping and phenotype characterization. European Journal of Human Genetics (2011) 19, 1256-1263; doi: 10.1038/ejhg.2011.133; published online 27 July 2011

 
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