Detection of a single base deletion in codon 424 of the low density lipoprotein receptor gene in a Danish family with familial hypercholesterolemia

Buffering mechanisms in aging: a systems approach toward uncovering the genetic component of aging

An unrealized potential to understand the genetic basis of aging in humans, is to consider the immense survival advantage of the rare individuals who live 100 years or more. The Longevity Gene Study was initiated in 1998 at the Albert Einstein College of Medicine to investigate longevity genes in a selected population: the “oldest old” Ashkenazi Jews, 95 years of age and older, and their children. The study proved the principle that some of these subjects are endowed with longevity-promoting genotypes. Here we reason that some of the favorable genotypes act as mechanisms that buffer the deleterious effect of age-related disease genes. As a result, the frequency of deleterious genotypes may increase among individuals with extreme lifespan because their protective genotype allows disease-related genes to accumulate. Thus, studies of genotypic frequencies among different age groups can elucidate the genetic determinants and pathways responsible for longevity. Borrowing from evolutionary theory, we present arguments regarding the differential survival via buffering mechanisms and their target age-related disease genes in searching for aging and longevity genes. Using more than 1,200 subjects between the sixth and eleventh decades of life (at least 140 subjects in each group), we corroborate our hypotheses experimentally. We study 66 common allelic site polymorphism in 36 candidate genes on the basis of their phenotype. Among them we have identified a candidate-buffering mechanism and its candidate age-related disease gene target. Previously, the beneficial effect of an advantageous cholesteryl ester transfer protein (CETP-VV) genotype on lipoprotein particle size in association with decreased metabolic and cardiovascular diseases, as well as with better cognitive function, have been demonstrated. We report an additional advantageous effect of the CETP-VV (favorable) genotype in neutralizing the deleterious effects of the lipoprotein(a) (LPA) gene. Finally, using literature-based interaction discovery methods, we use the set of longevity genes, buffering genes, and their age-related target disease genes to construct the underlying subnetwork of interacting genes that is expected to be responsible for longevity. Genome wide, high-throughput hypothesis-free analyses are currently being utilized to elucidate unknown genetic pathways in many model organisms, linking observed phenotypes to their underlying genetic mechanisms. The longevity phenotype and its genetic mechanisms, such as our buffering hypothesis, are similar; thus, the experimental corroboration of our hypothesis provides a proof of concept for the utility of high-throughput methods for elucidating such mechanisms. It also provides a framework for developing strategies to prevent some age-related diseases by intervention at the appropriate level.

Previous research showed that the frequency of deleterious genotype of some age-related disease decreases its prevalence as the population ages, as expected, since subjects with deleterious genotype are weeded out due to mortality. There exists, however, a set of age-related genes whose deleterious genotype indeed decreases up to ages 80–85, but subsequently increases monotonically, until by age 100 its prevalence is similar to that at age ∼60. Why is a known harmful genotype so prevalent among centenarians? Most likely because this genotype is protected by longevity genes. We corroborated this hypothesis by studying gene–gene interactions between age-related disease genotypes and longevity genotypes. Our findings suggest that individuals with the favorable longevity genotype can have just as many deleterious aging genotypes as the rest of the population because their longevity genotype protects them from the harmful effects of the other. We identify genes contributing to extreme lifespan as well as their counterpart, age-related disease genes. Our findings provide a proof of concept for the utility of high-throughput methods, and for elucidating mechanisms by which longevity genes buffer the effects of disease genes. Our approach gives hope for developing new medications that will protect against several age-related diseases.

Evaluation of a clinically applicable mutation screening technique for genetic diagnosis of familial hypercholesterolemia and familial defective apolipoprotein B

We have recently developed a simple mutation screening assay based on the denaturing gradient gel electrophoresis (DGGE) technique for detection of mutations in the coding and regulatory regions of the low density lipoprotein receptor (LDLR) gene and the codon 3500 region of the apolipoprotein (apo) B-100 gene leading to familial hypercholesterolemia (FH) and familial defective apo B-100 (FDB), respectively. To evaluate the assay, 14 Danish families suspected of FH were studied. In ten families, the DGGE assay detected seven different point mutations, including mutations undescribed prior to establishing the assay. In addition, in one of these ten families and in one of the remaining four families, Southern blotting detected the FH-DK3 exon 5 deletion. Based on segregation analysis and clinical data, the FH diagnosis was dubious in the remaining three families without DGGE or Southern blotting detectable mutations. In conclusion, a simple DGGE based mutation screening assay may detect underlying mutations in most FH/FDB families, thus allowing its routine use in genetic counselling of FH-families.

DNA sequence analysis by MALDI mass spectrometry

Conventional DNA sequencing is based on gel electrophoretic separation of the sequencing products. Gel casting and electrophoresis are the time limiting steps, and the gel separation is occasionally imperfect due to aberrant mobility of certain fragments, leading to erroneous sequence determination. Furthermore, illegitimately terminated products frequently cannot be distinguished from correctly terminated ones, a phenomenon that also obscures data interpretation. In the present work the use of MALDI mass spectrometry for sequencing of DNA amplified from clinical samples is implemented. The unambiguous and fast identification of deletions and substitutions in DNA amplified from heterozygous carriers realistically suggest MALDI mass spectrometry as a future alternative to conventional sequencing procedures for high throughput screening for mutations. Unique features of the method are demonstrated by sequencing a DNA fragment that could not be sequenced conventionally because of gel electrophoretic band compression and the presence of multiple non-specific termination products. Taking advantage of the accurate mass information provided by MALDI mass spectrometry, the sequence was deduced, and the nature of the non-specific termination could be determined. The method described here increases the fidelity in DNA sequencing, is fast, compatible with standard DNA sequencing procedures, and amenable to automation.

Detection and characterization of a novel splice mutation in the LDL receptor intron 12 resulting in two different mutant mRNA variants

Using a simple, standardized denaturing gradient gel electrophoresis (DGGE) based mutation screening technique, a novel G-to-A mutation in the last base of the intron 12 splice acceptor site of the LDL receptor gene was found in 2 Danish families with familial hypercholesterolemia (FH). The mutation is shown to result in 2 mRNA splice variants, both leading to truncated LDLR proteins, containing only the first 594 of the normal 839 amino acids. In one of the FH-families harbouring the mutation, a striking difference in the clinical picture amongst biochemically diagnosed FH patients was clarified when genetic analysis showed that 2 hypercholesterolemic family members, who despite advanced age had no atherosclerotic disease, had not inherited the family LDLR mutation. DGGE analyses of the LDLR exons, LDLR promoter, and apolipoprotein B codon 3456-3553 as well as Southern blotting of the LDLR gene were without signs of other mutations in the non-atherosclerotic hypercholesterolemics of the family. Availability of the clinically applicable mutation screening assay for FH may thus aid in defining reasons for phenotypic differences in FH families and potentially supply information allowing a more differentiated therapeutic approach to individual members of FH families.

Software and database for the analysis of mutations in the human LDL receptor gene

The low-density lipoprotein receptor (LDLr) plays a pivotal role in cholesterol homeostasis. Mutations in the LDLr gene (LDLR), which is located on chromosome 19, cause familial hypercholesterolemia (FH), an autosomal dominant disorder characterized by severe hypercholesterolemia associated with premature coronary atherosclerosis. To date almost 300 mutations have been identified in the LDLR gene. To facilitate the mutational analysis of the LDLR gene, and promote the analysis of the relationship between genotype and phenotype, a software package along with a computerized database (currently listing 210 entries) have been created.

Phenotypic presentation of the FH-Cincinnati type 5 low density lipoprotein receptor mutation

Familial hypercholesterolaemia (FH) is an autosomal dominant hereditary disease of lipid metabolism that in most families is caused by mutations in the low density lipoprotein receptor (LDLR) gene. Though more than 150 mutations are known, the clinical picture associated with most of these is not known. Genetic FH diagnosis may soon become routine in the setting of genetic counselling, and therefore thorough information on the phenotype-genotype relationship of different mutations is now important. In this study, index patients from each of 14 Danish FH families were screened for mutations in exon 2 of the LDLR gene using a denaturing gradient gel electrophoresis (DGGE)-based mutation screening assay. A deviating DGGE pattern identified two index patients, where subsequent sequencing revealed heterozygosity for the FH Cincinnati type 5 Trp23-to-Stop LDLR mutation. Data from three generations of the families allowed the first clinical and biochemical description of this mutation. Evidence that genetic analysis adds independent diagnostic information compared to traditional clinical/biochemical FH diagnosis was documented by demonstrating the presence of the FH Cincinnati mutation in a family member with a completely normal lipid profile. By comparison to non-FH family members, it was documented that carrier status for the FH Cincinnati mutation is associated with a significant risk of cardiovascular disease. Thus, genetic analysis may improve diagnostic precision and help to define more precisely which of the members of FH families are in need of preventive interventions and may aid in establishing phenotype-genotype relationships allowing more refined genetic counselling in FH.

Clinically applicable mutation screening in familial hypercholesterolemia

Mutations in the LDL receptor (LDLR) gene and the codon 3500 region of the apolipoprotein (apo) B-100 gene result in the clinically indistinguishable phenotypes designated familial hypercholesterolemia (FH) and familial defective apo B-100 (FDB), respectively. Introduction of genetic diagnosis in phenotypic FH families may remove the diagnostic inaccuracies known from traditional clinical/biochemical FH diagnosis and allow more differentiated prognostic evaluations and genetic counseling of FH/FDB families. Previous genetic screening methods for FH have, however, been too cumbersome for routine use, however. To overcome these problems, we designed a mutation screening assay based on the highly sensitive denaturing gradient gel electrophoresis (DGGE) technique. The setup allows within 24 hr to pinpoint if and where a potential mutation is located in the LDLR promoter, the 18 LDLR gene exons and corresponding intronic splice site sequences, or in the codon 3500 region of apo B-100. The pinpointed region is subsequently sequenced. As an evaluation of the sensitivity, we demonstrated the ability of the assay to detect 27 different mutations or polymorphisms covering all the examined regions, except LDLR exon 16. In conclusion, a simple, but sensitive, clinically applicable mutation screening assay based on the DGGE principle may reveal the underlying mutation in most FH/FDB families and offer a tool for a more differentiated prognostic and therapeutic evaluation in FH/FDB.