The unstable (CTG)$\sb{\rm n}$ trinucleotide repeat associated with myotonic dystrophy: What it does and where it came from

Myotonic dystrophy (DM), an autosomal dominant disorder mapping to human chromosome 19q13.3, is the most common neuromuscular disease in human adults.^ Following the identification of the mutation underlying the DM phenotype, an unstable (CTG)$\sb{n}$ trinucleotide repeat in the 3$\prime$ untranslated region (UTR) of a gene encoding a ser/thr protein kinase named DM protein kinase (DMPK), the study was targeted at two questions: (1) the identification of the disease-causing mechanism(s) of the unstable repeat, and at a more basic level, (2) the identification of the origin and the mechanism(s) involved in repeat instability. The first goal was to identify the pathophysiological mechanisms of the (CTG)$\sb{n}$ repeat.^ The normal repeat is transcribed but not translated; therefore, initial studies centered on the effect on RNA transcript levels. The vast majority of DM affecteds are heterozygous for the mutant expansion, so that the normal allele interferes with the analysis of the mutant allele. A quantitative allele-specific RT-PCR procedure was developed and applied to a spectrum of patient tissue samples and cell lines. Equal levels of unprocessed pre-mRNA were determined for the wild type (+) and disease (DM) alleles in skeletal muscle and cell lines of heterozygous DM patients, indicating that any nucleosome binding has no effect at the level of transcriptional initiation and transcription of the mutant DMPK locus. In contrast, processed mRNA levels from the DM allele were reduced relative to the + allele as the size of the expansion increased. The unstable repeat, therefore, impairs post-transcriptional processing of DM allele transcripts. This phenomenon has profound effects on overall DMPK locus steady-state transcript levels in cells missing a wild type allele and does not appear to be mediated by imprinting, decreased mRNA stability, generation of aberrant splice forms, or absence of polyadenylation of the mutant allele.^ In Caucasian DM subjects, the unstable repeat is in complete linkage disequlibrium with a single haplotype composed of nine alleles within and flanking DMPK over a physical distance of 30 kb. A detailed haplotype analysis of the DM region was conducted on a Nigerian (Yoruba) DM family, the only indigenous sub-Saharan DM case reported to date. Each affected member of this family had an expanded (CTG)$\sb{n}$ repeat in one of their DMPK alleles. However, unlike all other DM populations studied thus far, disassociation of the (CTG)$\sb{n}$ repeat expansion from other alleles of the putative predisposing haplotype was found. Thus, the expanded (CTG)$\sb{n}$ repeat in this family was the result of an independent mutational event. Consequently, the origin of DM is unlikely the result of a single mutational event, and the hypothesis that a single ancestral haplotype predisposes to repeat expansion is not compelling. (Abstract shortened by UMI.) ^

Positional candidate cloning of the RP10 form of retinitis pigmentosa

Retinitis pigmentosa (RP) is a genetically heterogeneous group of retinal degenerations that affects over one million people worldwide. To date, 11 autosomal dominant, 13 autosomal recessive, and 5 X-linked forms of retinitis pigmentosa have been identified through linkage analysis, but the disease-causing genes and mutations have been found for only half of these loci. My research uses a positional candidate cloning approach to identify the gene and mutations responsible for one type of autosomal dominant retinitis pigmentosa, RP10. The premise is that identifying the genes and mutations responsible for disease will provide insight into disease mechanisms and provide treatment options. Previous research mapped the RP10 locus to a 5cM region on chromosome 7q31 between markers D7S686 and D7S530. Linkage and fine-point haplotype analysis was used to reduce and refine the RP10 disease interval to a 4cM region located between D7S2471 and a new marker located 45,000bp telomeric of D7S461. In order to identify genes located in the RP10 interval, an extensive EST map was created of this region. Five EST clusters from this map were analyzed to determine if mutations in these genes cause the RP10 form of retinitis pigmentosa. The genomic structure of a known metabotrophic glutamate receptor, GRMS8, was determined first. DNA sequencing of GRM8 in RP10 family members did not identify any disease-causing mutations. Four other EST clusters (A170, A173, A189, and A258) were characterized and determined to be part of the same gene, UBNL1 (ubinuclein-like 1). The full-length mRNA sequence and genomic structure of UBNL1 was determined and then screened in patients. No disease-causing mutations were identified in any of the RP10 family members tested. Recent data made available with the release of the public and Celera genome assemblies indicates that UBNL1 is outside of the RP10 disease region. Despite this complication, characterization of UBNL1 is still important in the understanding of normal visual processes and it is possible that mutations in UBNL1 could cause other forms of retinopathy. The EST map and list of RP10 candidates will continue to aid others in the search for the RP10 gene and mutations. ^

Single nucleotide polymorphism (SNP) selection for genotype-phenotype association studies

With hundreds of single nucleotide polymorphisms (SNPs) in a candidate gene and millions of SNPs across the genome, selecting an informative subset of SNPs to maximize the ability to detect genotype-phenotype association is of great interest and importance. In addition, with a large number of SNPs, analytic methods are needed that allow investigators to control the false positive rate resulting from large numbers of SNP genotype-phenotype analyses. This dissertation uses simulated data to explore methods for selecting SNPs for genotype-phenotype association studies. I examined the pattern of linkage disequilibrium (LD) across a candidate gene region and used this pattern to aid in localizing a disease-influencing mutation. The results indicate that the r2 measure of linkage disequilibrium is preferred over the common D′ measure for use in genotype-phenotype association studies. Using step-wise linear regression, the best predictor of the quantitative trait was not usually the single functional mutation. Rather it was a SNP that was in high linkage disequilibrium with the functional mutation. Next, I compared three strategies for selecting SNPs for application to phenotype association studies: based on measures of linkage disequilibrium, based on a measure of haplotype diversity, and random selection. The results demonstrate that SNPs selected based on maximum haplotype diversity are more informative and yield higher power than randomly selected SNPs or SNPs selected based on low pair-wise LD. The data also indicate that for genes with small contribution to the phenotype, it is more prudent for investigators to increase their sample size than to continuously increase the number of SNPs in order to improve statistical power. When typing large numbers of SNPs, researchers are faced with the challenge of utilizing an appropriate statistical method that controls the type I error rate while maintaining adequate power. We show that an empirical genotype based multi-locus global test that uses permutation testing to investigate the null distribution of the maximum test statistic maintains a desired overall type I error rate while not overly sacrificing statistical power. The results also show that when the penetrance model is simple the multi-locus global test does as well or better than the haplotype analysis. However, for more complex models, haplotype analyses offer advantages. The results of this dissertation will be of utility to human geneticists designing large-scale multi-locus genotype-phenotype association studies. ^

A cladistic analysis of apolipoprotein B gene variation and plasma lipid and apolipoprotein B levels, using familial data

Any functionally important mutation is embedded in an evolutionary matrix of other mutations. Cladistic analysis, based on this, is a method of investigating gene effects using a haplotype phylogeny to define a set of tests which localize causal mutations to branches of the phylogeny. Previous implementations of cladistic analysis have not addressed the issue of analyzing data from related individuals, though in human studies, family data are usually needed to obtain unambiguous haplotypes. In this study, a method of cladistic analysis is described in which haplotype effects are parameterized in a linear model which accounts for familial correlations. The method was used to study the effect of apolipoprotein (Apo) B gene variation on total-, LDL-, and HDL-cholesterol, triglyceride, and Apo B levels in 121 French families. Five polymorphisms defined Apo B haplotypes: the signal peptide Insertion/deletion, Bsp 1286I, XbaI, MspI, and EcoRI. Eleven haplotypes were found, and a haplotype phylogeny was constructed and used to define a set of tests of haplotype effects on lipid and apo B levels.^ This new method of cladistic analysis, the parametric method, found significant effects for single haplotypes for all variables. For HDL-cholesterol, 3 clusters of evolutionarily-related haplotypes affecting levels were found. Haplotype effects accounted for about 10% of the genetic variance of triglyceride and HDL-cholesterol levels. The results of the parametric method were compared to those of a method of cladistic analysis based on permutational testing. The permutational method detected fewer haplotype effects, even when modified to account for correlations within families. Simulation studies exploring these differences found evidence of systematic errors in the permutational method due to the process by which haplotype groups were selected for testing.^ The applicability of cladistic analysis to human data was shown. The parametric method is suggested as an improvement over the permutational method. This study has identified candidate haplotypes for sequence comparisons in order to locate the functional mutations in the Apo B gene which may influence plasma lipid levels. ^