| Human Molecular Genetics | Pages |
Two different connexin 26 mutations in an inbred kindred segregating non-syndromic recessive deafness: implications for genetic studies in isolated populations
Introduction
Results
Linkage analysis identifies a 13q NSRD locus
Haplotype analysis demonstrates two different segregating mutations
Mutation detection in the connexin 26 gene
Recent ancestry of connexin 26 mutations
Discussion
Connexin 26 as a deafness gene
The nature of genetic variation in isolated populations
Materials And Methods
Sample collection and DNA extraction
Genotyping
Nucleotide sequencing
Single-strand conformation polymorphism analysis (SSCP)
Linkage analyses
Haplotype analysis and estimation of mutation age
Acknowledgements
References
Two different connexin 26 mutations in an inbred kindred segregating non-syndromic recessive deafness: implications for genetic studies in isolated populations
INTRODUCTION
The phenotype of deafness is easily recognized in humans, and since it does not compromise fertility or longevity in patients, pedigrees segregating the disorder can be identified with ease (
The large number of recessive mutations underlying non-syndromic prelingual hearing loss (NSRDs) is not in doubt and is well-supported by observations in the offspring of consanguineous unions. However, the exact number of such genes remains unknown. To date, 10 autosomal NSRD loci (also called DFNBs) have been mapped to human chromosomes: DFNB1 (13q11) (
Since individual NSRD mutations are expected to be rare recessives, studies in multiple inbred populations are necessary to identify the majority of loci. Inbred populations with a founder effect for such mutations are ideal for eventual gene identification. During the course of genetic surveys in different villages in Israel, we identified one population in which the prevalence of profound, isolated, non-syndromic, congenital deafness, as well as less severe forms, is [sim]2%. This isolate is a Muslim Israeli-Arab village of [sim]8000 inhabitants located in the lower Galilee and fully integrated into the life of the state of Israel. The extant members of this community are divided into large inter-related kindreds, called Hamulas, and can trace their ancestry to a few founders about eight generations ago. Two of these kindreds, which we studied and designated as Hamula A and H, each represent 30-40% of all household units in the same village. Hearing loss is present in both kindreds, and there are many cases of intermarriage between the kindreds.
Table We performed two-point linkage analyses on the 10 candidate NSRD regions listed earlier for a small subset of nuclear families and detected significant linkage to DFNB1 (
Figure
RESULTS
Linkage analysis identifies a 13q NSRD locus
We investigated 20 families, presently residing in an Israeli-Arab village in the lower Galilee, in whom both parents have normal hearing and ascertained through one child with a significant hearing defect. In 19 of these families all the affected children were profoundly deaf; the remaining families showed phenotypic variation in severity among the siblings. We also ascertained two families in whom both parents were deaf and all of their nine children were affected; in one of these families the hearing defect was of variable severity among the siblings. We have also identified an additional seven families in whom only one parent is deaf and all of their children have normal hearing. All these observations favor an autosomal recessive mode of inheritance with variable expressivity. In the nuclear families in which both parents have normal hearing, there are a total of 55 affected offspring out of a total of 170 offspring in 26 sibships ascertained through a single proband each. After correction of ascertainment by the proband method (
Figure
Our first aim was to evaluate whether the NSRD locus segregating in the sampled kindreds mapped to any of the 10 known DFNB loci. For two-point linkage analysis, we utilized DNA samples from 22 individuals, 14 of whom demonstrated profound deafness, from four nuclear families for an initial screen (see Materials and Methods). For each of the candidate locations we genotyped two markers within each locus; these were no more than 12 cM apart from each other and selected based on published linkage studies. The lod scores for each marker at each of the 10 known NSRD loci are shown in Table
Haplotype analysis demonstrates two different segregating mutations
The genetic marker data were used to construct the most likely haplotypes by visual inspection. These haplotype data convincingly, and interestingly, showed that the mutation in these pedigrees segregated with two different haplotypes within the sampled families: haplotype a (alleles 1, 1, 3, 3, 4, 1, 3, and 6 at markers D13S1316, D13S250, D13S175, D13S141, D13S143, D13S115, D13S232, and D13S292) and haplotype b (alleles 6, 2, 6, 2, 3, 2, 8, and 3 at markers D13S1316, D13S250, D13S175, D13S141, D13S143, D13S115, D13S232, and D13S292). Affected individuals were always homozygotes for haplotype a or b, or were ab compound heterozygotes. Since affecteds had no other haplotype combinations this is genetic proof that the NSRD mutation(s) segregating in our families is autosomal recessive. Of the two haplotypes, a segregates in Hamula A and H whereas b is found in Hamula H. Surprisingly, genetic kinship does not reflect which haplotype segregates since, in Hamula H, individual 98 is aa but his first cousin once removed (individual 158) is bb. Since two different haplotypes are segregating with the NSRD phenotype, either the mutation is very old and has recombined onto different genetic backgrounds (haplotypes) or multiple, distinct mutations are responsible for the deafness. Our subsequent mutation detection has clarified that the latter is true.
Figure
Mutation detection in the connexin 26 gene
The mapping results strongly implicate mutations in the gene for the gap junction protein connexin 26 (Cx26) by virtue of its position in 13q11, its known biological role as a component of intercellular channels and recent findings of mutations in Cx26. By virtue of the close linkage between Cx26 and the related connexin 46 (Cx46), the latter is equally compelling as a positional candidate gene. We performed both nucleotide sequence analysis and single-strand conformation polymorphism analysis (SSCP) to scan the connexin 26 (Cx26) gene for mutations. Nucleotide sequence analysis revealed the deletion of a guanine residue at cDNA position 35 (Gdel35) (
Recent ancestry of connexin 26 mutations
The finding of distinct and haplotype-specific (>15 cM) mutations strongly argues for the recent origin of each change. We have attempted to estimate the ages of each mutation by haplotype analysis and based on the frequency of ancestral recombinants (
DISCUSSION
Connexin 26 as a deafness gene
Genetic mapping and mutation detection clearly confirms and implicates the gap junction protein connexin 26 (Cx26) in hereditary prelingual deafness with a recessive mode of inheritance. This study and those of Kelsell et al. (
In families segregating NSRD, ascertained from an inbred Israeli-Arab community, we have demonstrated linkage to markers flanking DFNB1 on chromosome 13q11 and multiple mutations in Cx26. The missense and deletion/frameshift mutations detected are almost surely inactivating null mutations, consistent with both of them segregating as a recessive trait with 100% penetrance. We have established a simple SSCP assay that can uniquely detect each mutation homozygote and the compound heterozygote so that individuals in the population can be screened relatively easily. This may be a priority since NSRD has a prevalence of [sim]2% in the community we sampled. However, even in this genetic isolate there is significant phenotypic variation in the severity of deafness, even among siblings who share the same mutant Cx26 allele. This variation may be environmental, but the variation in severity between sibships argues for segregation of a modifier gene. Additional studies in this village, with individuals of known Cx26 mutation type, and a high resolution genome screen is likely to reveal the genetic location of such modifiers.
The nature of genetic variation in isolated populations
Genetically, the surprising aspect of this study is the finding of two distinct and young (3-5 generations) mutations within a genetic isolate of recent history. Although this may be a rare and chance finding we suspect that it is not so, but rather a persistent feature of many inbred communities. Several studies of genetic disorders among Arab villages around the Galilee in Israel show the feature of multiple mutations of recent origin arising within a small geographic region. Thus, for Hurler syndrome three unique mutations (
Recessive (inactivating) mutations occur at all genes in all populations every generation. The large fraction of these mutations are lost every generation simply by chance; this probability is at least 37% per generation (
Zelante et al. (
There is considerable recent interest in genetic studies of isolated populations since these communities may help in the genetic dissection of simple and complex disorders. Our studies emphasize that population structure has to be considered in the study design since these communities may uncover, rather than reduce, allelic diversity. It is likely that in these highly inbred communities homozygosity mapping studies may be compromised, as may be studies of mapping by linkage disequilibrium, unless we explicitly allow for mutational diversity.
MATERIALS AND METHODS
Sample collection and DNA extraction
Surveys of genetic disorders in a number of villages in Israel, in the region of the lower Galilee, were conducted by one of us (J.Z.). One village in particular was recognized as having a recognizably high frequency of hereditary deafness with a prevalence of [sim]2%. The [sim]8000 inhabitants of this village are Muslim Arabs and are, as evidenced from their oral history, descendants from a single family that immigrated to this region from Jordan [sim]200 years (eight generations) ago. Three sons from this immigrant family each founded a Hamula (kinship group). Most marriages are within each Hamula, although intermarriages between the Hamulas and with closely neighboring villages (5-10 km) do occur; in rare instances, marriages can occur with individuals in other regions. Blood samples, under informed consent, were collected from 51 individuals affected with nonsyndromic hearing loss, 29 of their parents, and 18 of their unaffected siblings; these individuals are members of Hamula A and H (Fig.
Genotyping
All genetic markers used in this study were microsatellite repeat polymorphisms; primer sets to amplify these markers were obtained from Research Genetics, Inc. (Huntsville, AL). Microsatellite repeat alleles were amplified via the PCR using 80 [mu]g of genomic DNA and [[gamma]-33P]deoxyadenosine triphosphate end-labeled forward primers. The reaction volume was 19 [mu]l and included 0.625 U Taq polymerase (Boehringer Mannheim, Indianapolis, IN), 200 [mu]M each of dATP, dCTP, dGTP, dTTP, and 2.5 [mu]l of 10X incubation buffer (Boehringer Mannheim, Indianapolis, IN). The reactions were amplified by touchdown PCR which consisted of 40 denaturation/annealing cycles and ended with an extension step at 72°C for 5 min. The first 4 cycles started with a denaturation step at 95°C for 30 s, followed by an initial annealing temperature of 60°C for 40 s that decreased by 1°C each in four subsequent cycles. The last 35 cycles started with a denaturation step at 95°C for 30 s, followed by an annealing temperature of 55°C for 40 s. One volume of stop solution (95% formamide, 20 mM EDTA, 0.05% bromophenol blue, and 0.05% xylene cyanol FF) was added to each reaction product, and 4 [mu]l of each sample were resolved on a 6% polyacrylamide gel, followed by drying and autoradiography. Genomic DNA from CEPH individual 1347.02 was genotyped and used as an allele size reference for those genetic markers for which such data were available (Généthon, Evry, France; http://www. genethon.fr/).
Nucleotide sequencing
The sequence of Cx26 cDNA was obtained from GenBank (accession no. M86849), and used to develop the following pairs of amplimer sequences: GJB2.1F: 5[prime]tcttttccagagcaaaccgc3[prime] and GJB2.1R: 5[prime]gacacgaagatcagctgcag3[prime] from (
Single-strand conformation polymorphism analysis (SSCP)
Eighty [mu]l of genomic DNA were amplified using primer sets GJB2.1F/GJB2.1R and GJB2.1F/GJB2.1Ra as described in ref. (
Linkage analyses
The computer program MLINK in the LINKAGE v.5.1 package (
For multipoint parametric and nonparametric linkage analysis we utilized the computer program GENEHUNTER v.1.1 (
Haplotype analysis and estimation of mutation age
Haplotypes were constructed for the eight chromosome 13q11 genetic markers D13S1316, D13S250, D13S175, D13S141, D13S143, D13S115, D13S232 and D13S292 by visual inspection. The frequency of marker alleles was estimated separately from mutant gene bearing and wild-type chromosomes based on observed genotypes and allele counting. Haplotype data of 25 parents (82, 83, 105, 104, 89, 90, 57, 109, 110, 116, 115, 86, 74, 73, 157, 156,4, 167, 166, 191, 185, 181, 210, 209 and 366) distributed throughout the kindred were used for these calculations; the haplotypes for 366 were deduced from the genotypes of his five offspring and spouse. The ancestral allele at each marker was estimated as the most frequent allele on mutant gene-bearing chromosomes. These calculations were performed separately for each mutation observed. If y and x are the frequencies of the ancestral allele on mutant gene bearing and wild-type chromosomes, respectively, [thetas] is the recombination value between the mutation and any marker locus and g is the time to origin (in generations) of a mutation, then ( This equation was used to compute the joint likelihood of the ancestral allele frequency distributions at the eight loci. The value of g was estimated by maximum likelihood using the values of y, x for each marker and [thetas] from the genetic map in Figure
y = x + (1 - x) (1 - [thetas])g.
ACKNOWLEDGEMENTS
We thank the members of the Chakravarti laboratory for their technical and intellectual support during this study. In particular, we acknowledge the help of Audrey Lynn and Carl Kashuk for assistance in data analysis. M.M.C. was partially supported by NIH Training Grant T32 GM08056 to the Department of Genetics, Case Western Reserve University; J.Z. was supported in part by grants from the Israeli Ministry of Sciences and Arts; and, A.C., and a portion of this research, was supported by NIH grant HD 28088.
REFERENCES
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Copyright
Oxford University Press, 1997
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