No abstract

Hearing loss is the most common sensory deficit in humans, affecting 1 in 500 newborns. Due to its genetic heterogeneity, comprehensive diagnostic testing has not previously been completed in a large multiethnic cohort. To determine the aggregate contribution inheritance makes to non-syndromic hearing loss, we performed comprehensive clinical genetic testing with targeted genomic enrichment and massively parallel sequencing on 1119 sequentially accrued patients. No patient was excluded based on phenotype, inheritance or previous testing. Testing resulted in identification of the underlying genetic cause for hearing loss in 440 patients (39 %). Pathogenic variants were found in 49 genes and included missense variants (49 %), large copy number changes (18 %), small insertions and deletions (18 %), nonsense variants (8 %), splice-site alterations (6 %), and promoter variants (<1 %). The diagnostic rate varied considerably based on phenotype and was highest for patients with a positive family history of hearing loss or when the loss was congenital and symmetric. The spectrum of implicated genes showed wide ethnic variability. These findings support the more efficient utilization of medical resources through the development of evidence-based algorithms for the diagnosis of hearing loss.Electronic supplementary materialThe online version of this article (doi:10.1007/s00439-016-1648-8) contains supplementary material, which is available to authorized users.

Linkage disequilibrium mapping in isolated populations provides a powerful tool for fine structure localization of disease genes. Here, Luria and Delbrück's classical methods for analysing bacterial cultures are adapted to the study of human isolated founder populations in order to estimate (i) the recombination fraction between a disease locus and a marker; (ii) the expected degree of allelic homogeneity in a population; and (iii) the mutation rate of marker loci. Using these methods, we report striking linkage disequilibrium for diastrophic dysplasia (DTD) in Finland indicating that the DTD gene should lie within 0.06 centimorgans (or about 60 kilobases) of the CSF1R gene. Predictions about allelic homogeneity in Finland and mutation rates in simple sequence repeats are confirmed by independent observations.

Atypical hemolytic uremic syndrome (aHUS) is characterized by acute renal failure, thrombocytopenia and microangiopathic hemolytic anemia, and occurs with an estimated incidence in the USA of 2 per 1,000,000. Disease pathogenesis is related to dysregulation of the alternative pathway (AP) of the complement cascade at the level of the cell membrane secondary to mutations in a number of complement genes including complement factor H (CFH), complement factor Hrelated 5 (CFHR5), complement factor I (CFI), CD46 (MCP), complement factor B (CFB), complement component 3 (C3) and thrombomodulin (THBD). Since aHUS is rare, mutation rate data in large patient cohorts are scarce. Here we present the first cohort of American patients in whom mutation screening was completed on all genes currently implicated in aHUS. In addition to identifying a number of novel variants, we provide information on the relative frequency of mutations in these genes in an American aHUS population. Twelve percent (12%) of patients carrying disease-associated genetic variants segregated mutations in more than one gene mandating comprehensive genetic testing in the diagnosis and management of these patients.

Non-insulin dependent diabetes mellitus (NIDDM) affects more than 100 million people worldwide and is associated with severe metabolic defects, including peripheral insulin resistance, elevated hepatic glucose production, and inappropriate insulin secretion. Family studies point to a major genetic component, but specific susceptibility genes have not yet been identified-except for rare early-onset forms with monogenic or mitochondrial inheritance. We have screened over 4,000 individuals from a population isolate in western Finland, identified 26 families (comprising 217 individuals) enriched for NIDDM and performed a genome-wide scan using non-parametric linkage analysis. We found no significant evidence for linkage when the families were analysed together, but strong evidence for linkage when families were classified according to mean insulin levels in affecteds (in oral glucose tolerance tests). Specifically, families with the lowest insulin levels showed linkage (P = 2 x 10(-6)) to chromosome 12 near D12S1349. Interestingly, this region contains the gene causing the rare, dominant, early-onset form of diabetes MODY3. Unlike MODY3 families, the Finnish families with low insulin have an age-of-onset typical for NIDDM (mean = 58 years). We infer the existence of a gene NIDDM2 causing NIDDM associated with low insulin secretion, and suggest that NIDDM2 and MODY3 may represent different alleles of the same gene.