Linkage disequilibrium, cystic fibrosis, and genetic counseling.

Strong linkage disequilibrium occurs between the cystic fibrosis (CF) locus and polymorphisms detected with the DNA probes XV-2c and KM-19. In a North American population, 86% of CF chromosomes occur with a haplotype which occurs on only 14% of normal chromosomes. An individual homozygous for the highest-risk haplotype has an 81-fold greater probability of carrying a CF allele than does an individual homozygous for the lowest-risk haplotype. The linkage-disequilibrium data can be used for prenatal diagnosis and genetic counseling in CF families. The data are useful in 1-in-4-risk pregnancies when DNA is not available from the propositus and in counseling close relatives of CF families. Serious problems arise with some pregnancies which remain at intermediate risks after analysis, and families are left with difficult decisions. It is not clear that genetic testing for couples at less than 1-in-4 risk is cost-effective or standard care, but use of linkage-disequilibrium data will provide more accurate risk probabilities in a substantial proportion of cases if such testing is carried out. Our results emphasize the need for a specific biological or molecular carrier test. This experience in using linkage-disequilibrium and linkage data in combination for genetic counseling provides a model system for the diagnosis of other disorders.     

Characterization of a panel of somatic cell hybrids for subregional mapping along 11p and within band 11p13

Summary The short arm of chromosome 11 carries genes involved in malformation syndromes, including the aniridia/genitourinary abnormalities/mental retardation (WAGR) syndrome and the Beckwith-Wiedemann syndrome, both of which are associated with an increased risk of childhood malignancy. Evidence comes from constitutional chromosomal aberrations and from losses of heterozygosity, limited to tumor cells, involving regions 11p13 and 11p15. In order to map the genes involved more precisely, we have fused a mouse cell line with cell lines from patients with constitutional deletions or translocations. Characterization of somatic cell hybrids with 11p-specific DNA markers has allowed us to subdivide the short arm into 11 subregions, 7 of which belong to band 11p13. We have thus defined the smallest region of overlap for the Wilms' tumor locus bracketed by the closest proximal and distal breakpoints in two of these hybrids. The region associated with the Beckwith-Wiedemann syndrome spans the region flanked by two 11p15.5 markers, HRAS1 and HBB. These hybrids also represent useful tools for mapping new markers to this region of the human genome.     

Complex chromosomal rearrangements

Complex Chromosomal Rearrangements (CCRs) are constitutional structural rearrangements involving three or more chromosomes or having more than two breakpoints. CCRs preferentially occur during spermatogenesis and are transmitted in families through oogenesis. Recent investigation showed that CCRs are more complex and more common than initially appreciated. Here 1 present an overview of CCRs, including the important impact of CCRs in fertility, the mechanism of their development, the various meiotic errors that can occur and their consequences. The review also discusses the differential transmission of CCRs in males and females, the incidence of pregnancy outcomes of CCR carriers, genetic counseling and prenatal diagnosis.     

Java AWT和JAI技术在生物数据库图像显示上的应用

利用Java AWT和JAI技术绘制生物图像的方法可以使在实验室中得到的生物实验数据自动转化为需要的图谱,并且图像的精确度高。绘制成的图像既可以保存在本地硬盘中,也可以在浏览器中以网页的形式展示出来供研究人员分析使用。该方法目前已在上海生物信息技术研究中心开发的可视化工具MapViewer和主题数据库H2H,SRA中得到应用。     

Ectrodactyly/split hand feet malformation

Split-hand/split-foot malformation is a rare limb malformation with median clefts of the hands and feet and aplasia/hypoplasia of the phalanges, metacarpals and metatarsals. When present as an isolated anomaly, it is usually inherited as an autosomal dominant form. We report a case of autosomal recessive inheritance and discuss the antenatal diagnosis, genetic counseling and treatment for the malformation.     

中国遗传咨询网——我国首个在线遗传咨询与遗传教育网站的开发

随着互联网的普及, 网络用户已习惯从网上获取相关资讯, 包括求医问药。由于我国的临床遗传学体系尚未完全建立, 许多遗传病患者或遗传咨询者无法得到较为专业的知识和咨询服务。为此, 建立了中国首个提供常见遗传病科普和网上遗传咨询服务的公益性网站—中国遗传咨询网(http://www.gcnet.org.cn)。该网站主要介绍遗传病的基本知识以及常见遗传病的一般情况、临床表现、诊断与防治方法、遗传方式与遗传咨询要点等。通过组织国内外50多名遗传咨询医师或医学遗传学专家, 就咨询者关心的问题, 进行一般性咨询答复, 或指导咨询者就诊。在线遗传咨询是网络时代的一种新型的方式。该网站的运行在一定程度上弥补了我国现有遗传咨询工作的不足, 有助于推动我国临床遗传学、遗传教育和人口与健康事业的发展。     

The Simons Simplex Collection: a resource for identification of autism genetic risk factors

In an effort to identify de novo genetic variants that contribute to the overall risk of autism, the Simons Foundation Autism Research Initiative (SFARI) has gathered a unique sample called the Simons Simplex Collection (SSC). More than 2000 families have been evaluated to date. On average, probands in the current sample exhibit moderate to severe autistic symptoms with relatively little intellectual disability. An interactive database has been created to facilitate correlations between clinical, genetic, and neurobiological data.     

Locating rearrangement events in a phylogeny based on highly fragmented assemblies

Background

The inference of genome rearrangement operations requires complete genome assemblies as input data, since a rearrangement can involve an arbitrarily large proportion of one or more chromosomes. Most genome sequence projects, especially those on non-model organisms for which no physical map exists, produce very fragmented assembles, so that a rearranged fragment may be impossible to identify because its two endpoints are on different scaffolds. However, breakpoints are easily identified, as long as they do not coincide with scaffold ends. For the phylogenetic context, in comparing a fragmented assembly with a number of complete assemblies, certain combinatorial constraints on breakpoints can be derived. We ask to what extent we can use breakpoint data between a fragmented genome and a number of complete genomes to recover all the arrangements in a phylogeny.

Results

We simulate genomic evolution via chromosomal inversion, fragmenting one of the genomes into a large number of scaffolds to represent the incompleteness of assembly. We identify all the breakpoints between this genome and the remainder. We devise an algorithm which takes these breakpoints into account in trying to determine on which branch of the phylogeny a rearrangement event occurred. We present an analysis of the dependence of recovery rates on scaffold size and rearrangement rate, and show that the true tree, the one on which the rearrangement simulation was performed, tends to be most parsimonious in estimating the number of true events inferred.

Conclusions

It is somewhat surprising that the breakpoints identified just between the fragmented genome and each of the others suffice to recover most of the rearrangements produced by the simulations. This holds even in parts of the phylogeny disjoint from the lineage of the fragmented genome.

     

Risks of manifestation of Huntington chorea.

A methodology allowing the estimate of risks heterozygosity and manifestation of Huntington's chorea (HC) within preestablished periods for individuals of any age was developed. For this, the procedure was the following: 1. The variables which could influence the distribution of age frequencies were studied. 2. The error due to the exclusion of the heterozygotes dying before the manifestation of the disease from the distribution of Wendt et al. (1959) of affected persons was corrected separately for each sex. 3. The frequency of non-affected heterozygotes in each age group was calculated separately for each sex, from the corrected distribution. From those data estimates of the following parameters could be reached: a) the probability of heterozygosity for consultants of any age; b) the risks of manifestation for the gene in a given individual within a determined period, taking into account his probability of heterozygosity and survival. 4. The risks of manifestation were tabulated for making easier their use in concrete cases. Simplified tables with approximate risks are also presented for the more common cases in genetic counseling. 5. The methodology presented allows a discrimination between the probability of heterozygostiy and the risk of manifestation. This makes possible the estimate of risks of becoming affected, taking into account not only the age of the consultant at the moment, but also the period of time starting with the consultation, to which the risk applies. This is essential for adequate genetic counseling.     

Precise detection of rearrangement breakpoints in mammalian chromosomes

Background  

Genomes undergo large structural changes that alter their organisation. The chromosomal regions affected by these rearrangements are called breakpoints, while those which have not been rearranged are called synteny blocks. We developed a method to precisely delimit rearrangement breakpoints on a genome by comparison with the genome of a related species. Contrary to current methods which search for synteny blocks and simply return what remains in the genome as breakpoints, we propose to go further and to investigate the breakpoints themselves in order to refine them.     

The Organelle Genome Database Project (GOBASE).

The taxonomically broad organelle genome database (GOBASE) organizes and integrates diverse data related to organelles (mitochondria and chloroplasts). The current version of GOBASE focuses on the mitochondrial subset of data and contains molecular sequences, RNA secondary structures and genetic maps, as well as taxonomic information for all eukaryotic species represented. The database has been designed so that complex biological queries, especially ones posed in a comparative genomics context, are supported. GOBASE has been implemented as a relational database with a web-based user interface (http://megasun.bch.umontreal.ca/gobase/gobas e.html ). Custom software tools have been written in house to assist in the population of the database, data validation, nomenclature standardization and front-end design. The database is fully operational and publicly accessible via the World Wide Web, allowing interactive browsing, sophisticated searching and easy downloading of data.     

Genetic Mapping and Genomic Selection Using Recombination Breakpoint Data

The correct models for quantitative trait locus mapping are the ones that simultaneously include all significant genetic effects. Such models are difficult to handle for high marker density. Improving statistical methods for high-dimensional data appears to have reached a plateau. Alternative approaches must be explored to break the bottleneck of genomic data analysis. The fact that all markers are located in a few chromosomes of the genome leads to linkage disequilibrium among markers. This suggests that dimension reduction can also be achieved through data manipulation. High-density markers are used to infer recombination breakpoints, which then facilitate construction of bins. The bins are treated as new synthetic markers. The number of bins is always a manageable number, on the order of a few thousand. Using the bin data of a recombinant inbred line population of rice, we demonstrated genetic mapping, using all bins in a simultaneous manner. To facilitate genomic selection, we developed a method to create user-defined (artificial) bins, in which breakpoints are allowed within bins. Using eight traits of rice, we showed that artificial bin data analysis often improves the predictability compared with natural bin data analysis. Of the eight traits, three showed high predictability, two had intermediate predictability, and two had low predictability. A binary trait with a known gene had predictability near perfect. Genetic mapping using bin data points to a new direction of genomic data analysis.     

Sparse representation and Bayesian detection of genome copy number alterations from microarray data

MOTIVATION: Genomic instability in cancer leads to abnormal genome copy number alterations (CNA) that are associated with the development and behavior of tumors. Advances in microarray technology have allowed for greater resolution in detection of DNA copy number changes (amplifications or deletions) across the genome. However, the increase in number of measured signals and accompanying noise from the array probes present a challenge in accurate and fast identification of breakpoints that define CNA. This article proposes a novel detection technique that exploits the use of piece wise constant (PWC) vectors to represent genome copy number and sparse Bayesian learning (SBL) to detect CNA breakpoints. METHODS: First, a compact linear algebra representation for the genome copy number is developed from normalized probe intensities. Second, SBL is applied and optimized to infer locations where copy number changes occur. Third, a backward elimination (BE) procedure is used to rank the inferred breakpoints; and a cut-off point can be efficiently adjusted in this procedure to control for the false discovery rate (FDR). RESULTS: The performance of our algorithm is evaluated using simulated and real genome datasets and compared to other existing techniques. Our approach achieves the highest accuracy and lowest FDR while improving computational speed by several orders of magnitude. The proposed algorithm has been developed into a free standing software application (GADA, Genome Alteration Detection Algorithm). AVAILABILITY: http://biron.usc.edu/~piquereg/GADA     

Bacteriophage genomics

The past three years have seen an escalation in the number of sequenced bacteriophage genomes with more than 500 now in the NCBI phage database, representing a more than threefold increase since 2005. These span at least 70 different bacterial hosts, with two-thirds of the sequenced genomes of phages representing only eight bacterial hosts. Three key features emerge from the comparative analysis of these genomes. First, they span a very high degree of genetic diversity, suggesting early evolutionary origins. Second, the genome architectures are mosaic, reflecting an unusually high degree of horizontal genetic exchange in their evolution. Third, phage genomes contain a very high proportion of novel genetic sequences of unknown function, and probably represent the largest reservoir of unexplored genes. With an estimated 10(31) bacterial and archael viruses in the biosphere, our view of the virosphere will draw into sharper focus as further bacteriophage genomes are characterized.     

Population-ethnic group specific genome variation allele frequency data: a querying and visualization journey

National/ethnic mutation databases aim to document the genetic heterogeneity in various populations and ethnic groups worldwide. We have previously reported the development and upgrade of FINDbase (www.findbase.org), a database recording causative mutations and pharmacogenomic marker allele frequencies in various populations around the globe. Although this database has recently been upgraded, we continuously try to enhance its functionality by providing more advanced visualization tools that would further assist effective data querying and comparisons. We are currently experimenting in various visualization techniques on the existing FINDbase causative mutation data collection aiming to provide a dynamic research tool for the worldwide scientific community. We have developed an interactive web-based application for population-based mutation data retrieval. It supports sophisticated data exploration allowing users to apply advanced filtering criteria upon a set of multiple views of the underlying data collection and enables browsing the relationships between individual datasets in a novel and meaningful way.     

QTLRel: an R Package for Genome-wide Association Studies in which Relatedness is a Concern

Background

Existing software for quantitative trait mapping is either not able to model polygenic variation or does not allow incorporation of more than one genetic variance component. Improperly modeling the genetic relatedness among subjects can result in excessive false positives. We have developed an R package, QTLRel, to enable more flexible modeling of genetic relatedness as well as covariates and non-genetic variance components.

Results

We have successfully used the package to analyze many datasets, including F₃₄ body weight data that contains 688 individuals genotyped at 3105 SNP markers and identified 11 QTL. It took 295 seconds to estimate variance components and 70 seconds to perform the genome scan on an Linux machine equipped with a 2.40GHz Intel(R) Core(TM)2 Quad CPU.

Conclusions

QTLRel provides a toolkit for genome-wide association studies that is capable of calculating genetic incidence matrices from pedigrees, estimating variance components, performing genome scans, incorporating interactive covariates and genetic and non-genetic variance components, as well as other functionalities such as multiple-QTL mapping and genome-wide epistasis.     

Genetik des Prostatakarzinoms

Prostate cancer is the most frequent malignancy in males and its etiology is strongly influenced by genetic factors. Nevertheless, no mutated genes which could be used for diagnosis have been identified in a major proportion of familial cases. Three genes with germline mutations have been identified after linkage analysis (ELAC2, RNASEL, MSR1), but these mutations are very rare and their penetrance is not well defined. The association of most genes with genetic variants is weak, and only BRCA2/familial breast cancer is of clinical relevance. As a consequence of the extreme genetic heterogeneity, diagnostic tools are not available and genetic counseling has to rely on risk estimates from pedigree data in which a single affected first degree relative indicates a relevant risk.