A novel nonsense mutation in MYO6 is associated with progressive nonsyndromic hearing loss in a Danish DFNA22 family.

Autosomal dominant inheritance is described in about 20% of all nonsyndromic hearing loss with currently 54 distinct loci (DFNA1-54), and >20 different genes identified. Seven different unconventional myosin genes are involved in ten different types of syndromic and nonsyndromic hearing loss with different patterns of inheritance: MYO7A in DFNA11/DFNB2/USH1B, MYH9 in DFNA17, MYH14 in DFNA4, MYO6 in DFNA22/DFNB37, MYO3A in DFNB30, MYO1A in DFNA48, and MYO15A in DFNB3. Two missense mutations in MYO6 (p.C442Y and p.H246R) have been characterized in families of Italian and American Caucasian extraction with autosomal dominant hearing loss, respectively, and the latter was associated with cardiomyopathy in some patients. Three Pakistani families had homozygosity for three MYO6 mutations (c.36insT, p.R1166X, and p.E216V, respectively), and was in one instance associated with retinal degeneration. In the present study, we linked autosomal dominant hearing loss in a large Danish family to a 38.9 Mb interval overlapping with the DFNA22/DFNB37 locus on chromosome 6q13. A novel nonsense mutation in MYO6 exon 25 (c.2545C > T; p.R849X) was identified in the family. The mutation co-segregated with the disease and the mutant allele is predicted to encode a truncated protein lacking the coiled-coil and globular tail domains. These domains are hypothesized to be essential for targeting myosin VI to its cellular compartments. No other system was involved indicating nonsyndromic loss. In conclusion, a novel nonsense MYO6 mutation causes post-lingual, slowly progressive autosomal dominant nonsyndromic moderate to severe hearing loss in a Danish family.

Similarity by state/descent and genetic vector spaces: analysis of a longitudinal family study.

Using the genome-wide screening data of the Framingham Heart Study (394 nuclear families, 1328 genotyped subjects, 397 marker loci) we have quantified the underlying genetic diversity through high-dimensional genetic feature vectors and constructed a genetic vector space for the analysis of population substructure. Adaptive clustering procedures led to three major subgroups that were regarded as being related to "biological" ethnicity and that included more than 70% of the subjects. Based on these subgroups we addressed the question of ethnicity-related and ethnicity-independent risk factors for coronary heart disease (CHD). To this end, we relied upon hypertension as an endophenotype of CHD and applied a multivariate sib-pair method in order to search for oligogenic marker configurations for which the sib-sib similarities deviated from the parent-offspring similarities. Indeed, the latter similarities are always "0.5" irrespective of the affection status of parents and offspring. Loci with significant contributions to the oligogenic marker configuration constituted a CHD-specific genetic vector space. We found several ethnicity-independent signals. One signal on chromosome 8 may relate to the CYP11B1/CYP11B2 genes.