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.) ^

Esx1 is an X-chromosome-imprinted regulator of placental formation and fetal growth

Placental formation and genomic imprinting are two important features of embryonic development in placental mammals. Genetic studies have demonstrated that imprinted genes play a prominent role in regulating placental formation. In marsupials, mice and humans, the paternally derived X chromosome is preferentially inactivated in the placental tissues of female embryos. This special form of genomic imprinting may have evolved under the same selective forces as autosomal imprinted genes. This chromosomal imprinting phenomenon predicts the existence of maternally expressed X-linked genes that regulate placental development.^ In this study, an X-linked homeobox gene, designated Esx1 has been isolated. During embryogenesis, Esx1 was expressed in a subset of placental tissues and regulates formation of the chorioallantoic placenta. Esx1 acted as an imprinted gene. Heterozygous female mice that inherit an Esx1-null allele from their father developed normally. However, heterozygous females that inherit the Esx1 mutation from their mother were born 20% smaller than normal and had an identical phenotype to hemizygous mutant males and homozygous mutant females. Surprisingly, although Esx1 mutant embryos were initially comparable in size to wild-type controls at 13.5 days post coitum (E13.5) their placentas were significantly larger (51% heavier than controls). Defects in the morphogenesis of the labyrinthine layer were observed as early as E11.5. Subsequently, vascularization abnormalities developed at the maternal-fetal interface, causing fetal growth retardation. These results identify Esx1 as the first essential X-chromosome-imprinted regulator of placental development that influences fetal growth and may have important implications in understanding human placental insufficiency syndromes such as intrauterine growth retardation (IUGR). ^

EFFECTS OF TETRAHYDROCANNABINOL ON SEXUAL DIMORPHISM OF RAT LIVER MIXED FUNCTION OXIDASE

Pregnant Sprague-Dawley rats were gavaged with vehicle (olive oil) or 37.5, 75, 150 or 300 mg/kg of (DELTA)('9)-Tetrahydrocannabinol (THC) on days 18 or 19 of gestation. Male offspring as well as a group of hypophysectomized rats (positive control) were sacrificed at 35 days of age, while females and hypophysectomized control were sacrificed at 36 days of age. The sex-differences in ethylmorphine-N-demethylase and aniline hydroxylase liver activities were evaluated.^ Ethylmorphine-N-demethylase activity showed a significant difference between males and females from control and 37.5, 75 and 150 mg/kg THC dosed groups. Female offspring exposed prenatally to 300 mg/kg THC had a significant increase (p < .01) in N-demethylation activity, while their male counterparts had similar enzyme activity to those found in the male groups from control and 37.5 to 150 mg/kg THC dosed. Moreover, the percent increase in the 300 mg/kg THC dosed females was similar to that detected in the hypophysectomized female rats (positive control). As expected no sex difference in aniline hydroxylase activity was detected in control as well as exposed groups, including the 300 mg/kg THC dosed group.^ It is concluded that (DELTA)('9)-Tetrahydrocannabinol administered once by gavage in days 18 or 19 of gestation alters the liver Mixed Function Oxidase (MFO) sexual dimorphism imprinting process of the rat. ^

THE NATURAL AND ORTHOGONAL INTERACTION (NOIA) MODELS FOR QUANTITATIVE TRAITS (QTs) AND COMPLEX DISEASES

My dissertation focuses on developing methods for gene-gene/environment interactions and imprinting effect detections for human complex diseases and quantitative traits. It includes three sections: (1) generalizing the Natural and Orthogonal interaction (NOIA) model for the coding technique originally developed for gene-gene (GxG) interaction and also to reduced models; (2) developing a novel statistical approach that allows for modeling gene-environment (GxE) interactions influencing disease risk, and (3) developing a statistical approach for modeling genetic variants displaying parent-of-origin effects (POEs), such as imprinting. In the past decade, genetic researchers have identified a large number of causal variants for human genetic diseases and traits by single-locus analysis, and interaction has now become a hot topic in the effort to search for the complex network between multiple genes or environmental exposures contributing to the outcome. Epistasis, also known as gene-gene interaction is the departure from additive genetic effects from several genes to a trait, which means that the same alleles of one gene could display different genetic effects under different genetic backgrounds. In this study, we propose to implement the NOIA model for association studies along with interaction for human complex traits and diseases. We compare the performance of the new statistical models we developed and the usual functional model by both simulation study and real data analysis. Both simulation and real data analysis revealed higher power of the NOIA GxG interaction model for detecting both main genetic effects and interaction effects. Through application on a melanoma dataset, we confirmed the previously identified significant regions for melanoma risk at 15q13.1, 16q24.3 and 9p21.3. We also identified potential interactions with these significant regions that contribute to melanoma risk. Based on the NOIA model, we developed a novel statistical approach that allows us to model effects from a genetic factor and binary environmental exposure that are jointly influencing disease risk. Both simulation and real data analyses revealed higher power of the NOIA model for detecting both main genetic effects and interaction effects for both quantitative and binary traits. We also found that estimates of the parameters from logistic regression for binary traits are no longer statistically uncorrelated under the alternative model when there is an association. Applying our novel approach to a lung cancer dataset, we confirmed four SNPs in 5p15 and 15q25 region to be significantly associated with lung cancer risk in Caucasians population: rs2736100, rs402710, rs16969968 and rs8034191. We also validated that rs16969968 and rs8034191 in 15q25 region are significantly interacting with smoking in Caucasian population. Our approach identified the potential interactions of SNP rs2256543 in 6p21 with smoking on contributing to lung cancer risk. Genetic imprinting is the most well-known cause for parent-of-origin effect (POE) whereby a gene is differentially expressed depending on the parental origin of the same alleles. Genetic imprinting affects several human disorders, including diabetes, breast cancer, alcoholism, and obesity. This phenomenon has been shown to be important for normal embryonic development in mammals. Traditional association approaches ignore this important genetic phenomenon. In this study, we propose a NOIA framework for a single locus association study that estimates both main allelic effects and POEs. We develop statistical (Stat-POE) and functional (Func-POE) models, and demonstrate conditions for orthogonality of the Stat-POE model. We conducted simulations for both quantitative and qualitative traits to evaluate the performance of the statistical and functional models with different levels of POEs. Our results showed that the newly proposed Stat-POE model, which ensures orthogonality of variance components if Hardy-Weinberg Equilibrium (HWE) or equal minor and major allele frequencies is satisfied, had greater power for detecting the main allelic additive effect than a Func-POE model, which codes according to allelic substitutions, for both quantitative and qualitative traits. The power for detecting the POE was the same for the Stat-POE and Func-POE models under HWE for quantitative traits.