The molecular epidemiology of Huntington disease is related to intermediate allele frequency and haplotype in the general population.

Huntington disease (HD) is the most common monogenic neurodegenerative disorder in populations of European ancestry, but occurs at lower prevalence in populations of East Asian or black African descent. New mutations for HD result from CAG repeat expansions of intermediate alleles (IAs), usually of paternal origin. The differing prevalence of HD may be related to the rate of new mutations in a population, but no comparative estimates of IA frequency or the HD new mutation rate are available. In this study, we characterize IA frequency and the CAG repeat distribution in fifteen populations of diverse ethnic origin. We estimate the HD new mutation rate in a series of populations using molecular IA expansion rates. The frequency of IAs was highest in Hispanic Americans and Northern Europeans, and lowest in black Africans and East Asians. The prevalence of HD correlated with the frequency of IAs by population and with the proportion of IAs found on the HD-associated A1 haplotype. The HD new mutation rate was estimated to be highest in populations with the highest frequency of IAs. In European ancestry populations, one in 5,372 individuals from the general population and 7.1% of individuals with an expanded CAG repeat in the HD range are estimated to have a molecular new mutation. Our data suggest that the new mutation rate for HD varies substantially between populations, and that IA frequency and haplotype are closely linked to observed epidemiological differences in the prevalence of HD across major ancestry groups in different countries.

Huntington disease reduced penetrance alleles occur at high frequency in the general population.

OBJECTIVE: To directly estimate the frequency and penetrance of CAG repeat alleles associated with Huntington disease (HD) in the general population. METHODS: CAG repeat length was evaluated in 7,315 individuals from 3 population-based cohorts from British Columbia, the United States, and Scotland. The frequency of ≥36 CAG alleles was assessed out of a total of 14,630 alleles. The general population frequency of reduced penetrance alleles (36-39 CAG) was compared to the prevalence of patients with HD with genetically confirmed 36-39 CAG from a multisource clinical ascertainment in British Columbia, Canada. The penetrance of 36-38 CAG repeat alleles for HD was estimated for individuals ≥65 years of age and compared against previously reported clinical penetrance estimates. RESULTS: A total of 18 of 7,315 individuals had ≥36 CAG, revealing that approximately 1 in 400 individuals from the general population have an expanded CAG repeat associated with HD (0.246%). Individuals with CAG 36-37 genotypes are the most common (36, 0.096%; 37, 0.082%; 38, 0.027%; 39, 0.000%; ≥40, 0.041%). General population CAG 36-38 penetrance rates are lower than penetrance rates extrapolated from clinical cohorts. CONCLUSION: HD alleles with a CAG repeat length of 36-38 occur at high frequency in the general population. The infrequent diagnosis of HD at this CAG length is likely due to low penetrance. Another important contributing factor may be reduced ascertainment of HD in those of older age.

Donor verification using Short Tandem Repeat (STR) analysis directly from blood collected in PAXgene RNA tubes.

Biorepository processing includes nucleic acid extractions in batch mode from a large number of blood samples from many different donors. Handling such a large number of biospecimens presents the challenge of ensuring that samples are not switched or mislabeled during processing. One approach for confirming donor identity from DNA samples is the use of multiplexed fluorescent PCR for detecting Short Tandem Repeat (STR) allelic-size polymorphisms for a set of common autosomal loci. While donor identity of DNA extracted directly from blood collected in standard tubes containing anticoagulants can be easily verified by generating STR profiles, RNA from blood collected in PAXgene Blood RNA tubes (PAXgene RNA tubes) is depleted of DNA and is not amenable to STR fingerprinting for donor identity verification. We investigated the feasibility of isolating DNA directly from blood collected in PAXgene RNA tubes for use as template for STR DNA fingerprinting for blood donor identity verification. We determined that DNA extraction can be performed manually with the QIAamp DNA Blood Minikit or on the QIAxtractor instrument with minimal pre-processing protocol additions, and that DNA isolated from blood collected in PAXgene RNA tubes is of sufficient quantity and quality for successful STR fingerprint analysis. Adaptation of quality assurance methods such as the PAXgene RNA tube DNA extraction/STR fingerprinting assay described here is a good practice that ensures that biobanking collections provide scientists with high quality, donor-verified biomaterial.

Preparedness for a natural disaster: how Coriell planned for hurricane Sandy.

When a biological specimen is donated to a biobank such as the nonprofit Coriell Institute for Medical Research, regardless of whether that submission is sent directly or through a physician, scientist, foundation, or patient-centered advocacy organization, the donor expects their biomaterial to be processed effectively and stored in proper conditions until distribution to researchers answering scientific questions. The donor and scientific researchers rarely, if ever, consider what might happen to those specimens if the biobank experiences an adverse event, such as a disaster that compromises its business operations, including handling of samples. Management of biomaterials is not simply a laboratory process; their long-term survival is dependent on both the laboratory preparation and the infrastructure designed for maintenance, safety, and security. Coriell Institute has documented disaster preparedness plans since its inception in 1953, and currently manages hundreds of thousands of cell lines and DNA samples under ISO 9001 quality management standards, complete with a robust Emergency Operations Plan. The Institute's recent approach to preparing for Hurricane Sandy, a Category 1 hurricane that struck the East Coast of the United States in late October 2012, was two-fold. It included the validation of its long-term strategies focused on emergency back-up systems, communication solutions, and employee training, and implementation of short-term tactics such as confirming on-call emergency response personnel and safe storage options for working biomaterials and reagents. The purpose of this article is to review several best practices in use at Coriell Institute associated with disaster planning and to identify and evaluate the effectiveness of those elements in coping with Hurricane Sandy.

CoAIMs: a cost-effective panel of ancestry informative markers for determining continental origins.

BACKGROUND: Genetic ancestry is known to impact outcomes of genotype-phenotype studies that are designed to identify risk for common diseases in human populations. Failure to control for population stratification due to genetic ancestry can significantly confound results of disease association studies. Moreover, ancestry is a critical factor in assessing lifetime risk of disease, and can play an important role in optimizing treatment. As modern medicine moves towards using personal genetic information for clinical applications, it is important to determine genetic ancestry in an accurate, cost-effective and efficient manner. Self-identified race is a common method used to track and control for population stratification; however, social constructs of race are not necessarily informative for genetic applications. The use of ancestry informative markers (AIMs) is a more accurate method for determining genetic ancestry for the purposes of population stratification. METHODOLOGY/PRINCIPAL FINDINGS: Here we introduce a novel panel of 36 microsatellite (MSAT) AIMs that determines continental admixture proportions. This panel, which we have named Continental Ancestry Informative Markers or CoAIMs, consists of MSAT AIMs that were chosen based upon their measure of genetic variance (F(st)), allele frequencies and their suitability for efficient genotyping. Genotype analysis using CoAIMs along with a Bayesian clustering method (STRUCTURE) is able to discern continental origins including Europe/Middle East (Caucasians), East Asia, Africa, Native America, and Oceania. In addition to determining continental ancestry for individuals without significant admixture, we applied CoAIMs to ascertain admixture proportions of individuals of self declared race. CONCLUSION/SIGNIFICANCE: CoAIMs can be used to efficiently and effectively determine continental admixture proportions in a sample set. The CoAIMs panel is a valuable resource for genetic researchers performing case-control genetic association studies, as it can control for the confounding effects of population stratification. The MSAT-based approach used here has potential for broad applicability as a cost effective tool toward determining admixture proportions.

The influence of tumor size and environment on gene expression in commonly used human tumor lines.

BACKGROUND: The expression profiles of solid tumor models in rodents have been only minimally studied despite their extensive use to develop anticancer agents. We have applied RNA expression profiling using Affymetrix U95A GeneChips to address fundamental biological questions about human tumor lines. METHODS: To determine whether gene expression changed significantly as a tumor increased in size, we analyzed samples from two human colon carcinoma lines (Colo205 and HCT-116) at three different sizes (200 mg, 500 mg and 1000 mg). To investigate whether gene expression was influenced by the strain of mouse, tumor samples isolated from C.B-17 SCID and Nu/Nu mice were also compared. Finally, the gene expression differences between tissue culture and in vivo samples were investigated by comparing profiles from lines grown in both environments. RESULTS: Multidimensional scaling and analysis of variance demonstrated that the tumor lines were dramatically different from each other and that gene expression remained constant as the tumors increased in size. Statistical analysis revealed that 63 genes were differentially expressed due to the strain of mouse the tumor was grown in but the function of the encoded proteins did not link to any distinct biological pathways. Hierarchical clustering of tissue culture and xenograft samples demonstrated that for each individual tumor line, the in vivo and in vitro profiles were more similar to each other than any other profile. We identified 36 genes with a pattern of high expression in xenograft samples that encoded proteins involved in extracellular matrix, cell surface receptors and transcription factors. An additional 17 genes were identified with a pattern of high expression in tissue culture samples and encoded proteins involved in cell division, cell cycle and RNA production. CONCLUSIONS: The environment a tumor line is grown in can have a significant effect on gene expression but tumor size has little or no effect for subcutaneously grown solid tumors. Furthermore, an individual tumor line has an RNA expression pattern that clearly defines it from other lines even when grown in different environments. This could be used as a quality control tool for preclinical oncology studies.

Expression profiling of human renal carcinomas with functional taxonomic analysis.

BACKGROUND: Molecular characterization has contributed to the understanding of the inception, progression, treatment and prognosis of cancer. Nucleic acid array-based technologies extend molecular characterization of tumors to thousands of gene products. To effectively discriminate between tumor sub-types, reliable laboratory techniques and analytic methods are required. RESULTS: We derived mRNA expression profiles from 21 human tissue samples (eight normal kidneys and 13 kidney tumors) and two pooled samples using the Affymetrix GeneChip platform. A panel of ten clustering algorithms combined with four data pre-processing methods identified a consensus cluster dendrogram in 18 of 40 analyses and of these 16 used a logarithmic transformation. Within the consensus dendrogram the expression profiles of the samples grouped according to tissue type; clear cell and chromophobe carcinomas displayed distinctly different gene expression patterns. By using a rigorous statistical selection based method we identified 355 genes that showed significant (p < 0.001) gene expression changes in clear cell renal carcinomas compared to normal kidney. These genes were classified with a tool to conceptualize expression patterns called "Functional Taxonomy". Each tumor type had a distinct "signature," with a high number of genes in the categories of Metabolism, Signal Transduction, and Cellular and Matrix Organization and Adhesion. CONCLUSIONS: Affymetrix GeneChip profiling differentiated clear cell and chromophobe carcinomas from one another and from normal kidney cortex. Clustering methods that used logarithmic transformation of data sets produced dendrograms consistent with the sample biology. Functional taxonomy provided a practical approach to the interpretation of gene expression data.

The identification of E2F1-specific target genes.

The E2F family of transcriptional regulators consists of six different members. Analysis of E2F-regulated promoters by using cultured cells suggests that E2Fs may have redundant functions. However, animal studies have shown that loss of individual E2Fs can have distinct biological consequences. Such seemingly conflicting results could be due to a difference in E2F-mediated regulation in cell culture vs. animals. Alternatively, there may be genes that are specifically regulated by an individual E2F which have not yet been identified. To investigate this possibility further, we have analyzed gene expression in E2F1 nullizygous mice. We found that loss of E2F1 did not cause changes in expression of known E2F target genes, suggesting that perhaps E2F1-specific promoters are distinct from known E2F target promoters. Therefore, we used oligonucleotide microarrays to identify mRNAs whose expression is altered on loss of E2F1. We demonstrate by chromatin immunoprecipitation that several of the promoters that drive expression of the deregulated mRNAs selectively recruit E2F1, but not other E2Fs, and this recruitment is via an element distinct from a consensus E2F binding site. To our knowledge, these are as yet undocumented examples of promoters being occupied in asynchronously growing cells by a single E2F family member. Interestingly, the E2F1-specific target genes that we identified encode proteins having functions quite different from the function of known E2F target genes. Thus, whereas E2F1 may share redundant functions in cell growth control with other E2F family members, it may also play an important biological role distinct from the other E2Fs.