A molecular study of the rhodopsin locus in patients with retinitis pigmentosa

DNA for this study was collected from a sample of 133 retinitis pigmentosa (RP) patients and the rhodopsin locus molecularly analyzed by linkage and for disease specific mutations. The cohort of patients consisted of 85 individuals diagnosed with autosomal dominant RP (adRP), and 48 patients representing other forms of retinitis pigmentosa or retinal dystrophy related disease. In three large families with adRP rhodopsin was excluded from linkage to the disease locus. A search for subtle mutations in the rhodopsin coding region using single strand conformational polymorphisms (SSCP) and sequencing detected a total of 14 unique sequence variants in 24 unrelated patients. These variants included one splicing variant, 5168 -1G-A, one deletion variant of 17 base pairs causing a frame shift at codon 332, and 12 misense variants: Pro23His, Leu46Arg, Gly106Trp, Arg135Pro, Pro171Glu, Pro180Ala, Glu181Lys, Asp190Asn, His211Arg, Ser270Arg, Leu328Pro and Pro347Thr. All but three of the missense variants change amino acids that are evolutionarily conserved. The Pro23His mutation was found in 10 unrelated individuals with family histories of adRP and not in any normal controls (over 80 chromosomes tested). The Pro180Ala mutation was present in a patient with simplex RP and probably represents a new mutation. Three normal polymorphic nucleotide substitutions, A-269-G, T-3982-C, and G-5145-A, were also identified. We conclude, based on this study, that 25% of adRP cases are attributable to rhodopsin mutations.^ Clinical data, including ERG results and visual field testing, was available for patients with eleven different mutations. The eleven patients were all diagnosed with RP, however the severity of the disease varied with five patients mildly affected and diagnosed with type II adRP and 5 patients severely affected and diagnosed with type I adRP. The patient with simplex RP was mildly affected. The location of the mutations within the rhodopsin protein was randomly associated with the severity of the disease in those patients evaluated. However, four mutations, Pro23His, Leu46Arg, Pro347Thr, and 5168 -1G-A, are particularly interesting. The Pro23His mutation appears to have radiated from a recent common ancestor of the affected patients as all of them share a common haplotype at the rhodopsin locus. The Leu46Arg mutation causes an unusually severe form of RP. Hydropathy analysis of the mutated sequence revealed a marked change in the hydrophobicity of this first transmembrane spanning region. Codon 347 has been the target of multiple mutations with at least six documented changes at the position, significantly more than expected by a random distribution of mutations. Finally the splice-site variant is extremely variable in its expression in the family studied. Similar mutations have been reported in other cases of adRP and postulated to be involved in autosomal recessive RP (arRP). Mechanisms to account for the variable expression of rhodopsin mutations in relation to RP heterogeneity are discussed. (Abstract shortened by UMI.) ^

Global patterns of DNA polymorphism in noncoding regions in human populations

DNA sequence variation is currently a major source of data for studying human origins, evolution, and demographic history, and for detecting linkage association of complex diseases. In this dissertation, I investigated DNA variation in worldwide populations from two ∼10 kb autosomal regions on 22q11.2 (noncoding) and 1q24 (introns). A total of 75 variant sites were found among 128 human sequences in the 22q11.2 region, yielding an estimate of 0.088% for nucleotide diversity (π), and a total of 52 variant sites were found among 122 human sequences in the 1q24 region with an estimated π value of 0.057%. The data from these two regions and a 10 kb noncoding region on Xq13.3 all show a strong excess of low-frequency variants in comparison to that expected from an equilibrium population, indicating a relatively recent population expansion. The effective population sizes estimated from the three regions were 11,000, 12,700, and 8,600, respectively, which are close to the commonly used value of 10,000. In each of the two autosomal regions, the age of the most recent common ancestor (MRCA) was estimated to be older than 1 million years among all the sequences and ∼600,000 years among non-African sequences, providing first evidence from autosomal noncoding or intronic regions for a genetic history of humans much more ancient than the emergence of modern humans. The ancient genetic history of humans indicates no severe bottleneck during the evolution of humans in the last half million years; otherwise, much of the ancient genetic history would have been lost during a severe bottleneck. This study strongly suggests that both the “out of Africa” and the multiregional models are too simple for explaining the evolution of modern humans. A compilation of genome-wide data revealed that nucleotide diversity is highest in autosomal regions, intermediate in X-linked regions, and lowest in Y-linked regions. The data suggest the existence of background selection or selective sweep on Y-linked loci. In general, the nucleotide diversity in humans is low compared to that in chimpanzee and Drosophila populations. ^

A computerized statistical framework for coalescent analysis

Coalescent theory represents the most significant progress in theoretical population genetics in the past three decades. The coalescent theory states that all genes or alleles in a given population are ultimately inherited from a single ancestor shared by all members of the population, known as the most recent common ancestor. It is now widely recognized as a cornerstone for rigorous statistical analyses of molecular data from population [1]. The scientists have developed a large number of coalescent models and methods[2,3,4,5,6], which are not only applied in coalescent analysis and process, but also in today’s population genetics and genome studies, even public health. The thesis aims at completing a statistical framework based on computers for coalescent analysis. This framework provides a large number of coalescent models and statistic methods to assist students and researchers in coalescent analysis, whose results are presented in various formats as texts, graphics and printed pages. In particular, it also supports to create new coalescent models and statistical methods. ^