A pathogenic haplotype, common in Europeans, causes autosomal recessive albinism and uncovers missing heritability in OCA1.
Karen GrønskovCathrine JespersgaardGitte Hoffmann BruunPernille HarrisKaren Brøndum-NielsenBrage Storstein AndresenThomas RosenbergPublished in: Scientific reports (2019)
Oculocutaneous albinism (OCA) is a genetically heterogeneous disorder. Six genes are associated with autosomal recessive OCA (TYR, OCA2, TYRP1, SLC45A2, SLC24A5 and LRMDA), and one gene, GPR143, is associated with X-linked ocular albinism (OA). Molecular genetic analysis provides a genetic diagnosis in approximately 60% of individuals with clinical OA/OCA. A considerably number of the remaining 40% are heterozygous for a causative sequence variation in TYR. To identify missing causative sequence variants in these, we used a NGS based approach, genotyping and segregation analysis. We report two putative pathogenic haplotypes which only differ by two extremely rare SNVs, indicating that the haplotypes have a common derivation. Both haplotypes segregate consistent with an autosomal recessive inheritance pattern and include the allele p.S192Y-p.R402Q. An explanation for the pathogenicity of the haplotypes could be the combination of p.S192Y and p.R402Q. Homozygosity for the pathogenic haplotypes causes a partial albinism phenotype. In our cohort, 15% of affected individuals had a molecular genetic diagnosis involving the pathogenic haplotype. Consequently, the prevalence of albinism seems to be substantially underestimated, and children with unexplained bilateral subnormal vision and/or nystagmus should be analysed clinically and molecularly for albinism.
Keyphrases
- genome wide
- copy number
- intellectual disability
- mitochondrial dna
- muscular dystrophy
- dna methylation
- young adults
- risk factors
- knee osteoarthritis
- early onset
- high throughput
- single molecule
- gene expression
- biofilm formation
- pseudomonas aeruginosa
- staphylococcus aureus
- transcription factor
- escherichia coli
- fatty acid
- genetic diversity
- candida albicans
- bioinformatics analysis