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PubMed2005

PDCD1: a tissue-specific susceptibility locus for inherited inflammatory disorders.

Variation in genes encoding costimulatory molecules expressed on lymphocytes has been expected to contribute to the genetic component of inflammatory disease, but only the gene encoding the inhibitory protein, CTLA-4, seems consistently to confer disease susceptibility. Studies in murine models implicate the inhibitory product of the pd1 gene, programmed death-1, in the maintenance of peripheral tolerance to self-antigens. We identify 22 single-nucleotide polymorphisms (SNPs) in the equivalent human gene, PDCD1, a number of which show significant associations with the specific immunoglobulin E response to grass allergens in atopic individuals. Stepwise analyses indicate that four of the disease-associated SNPs have independent effects. The two most common haplotypes show positive and negative associations but rarer haplotypes are also likely to be of influence. In a case-control study, multiple regression analysis of genotypic data implies that PDCD1 also confers susceptibility to rheumatoid arthritis. Along with work linking PDCD1 with susceptibility to another autoimmune condition, systemic lupus erythematosus, our data identify PDCD1 as a second immunomodulatory gene with pleiotropic effects in human disease. Genes encoding negative regulators may generally confer a significant fraction of the genetic risk associated with inherited inflammatory disorders.

Alleles↗
PubMed2002

Sequence complexity profiles of prokaryotic genomic sequences: a fast algorithm for calculating linguistic complexity.

MOTIVATION: One of the major features of genomic DNA sequences, distinguishing them from texts in most spoken or artificial languages, is their high repetitiveness. Variation in the repetitiveness of genomic texts reflects the presence and density of different biologically important messages. Thus, deviation from an expected number of repeats in both directions indicates a possible presence of a biological signal. Linguistic complexity corresponds to repetitiveness of a genomic text, and potential regulatory sites may be discovered through construction of typical patterns of complexity distribution. RESULTS: We developed software for fast calculation of linguistic sequence complexity of DNA sequences. Our program utilizes suffix trees to compute the number of subwords present in genomic sequences, thereby allowing calculation of linguistic complexity in time linear in genome size. The measure of linguistic complexity was applied to the complete genome of Haemophilus influenzae. Maps of complexity along the entire genome were obtained using sliding windows of 40, 100, and 2000 nucleotides. This approach provided an efficient way to detect simple sequence repeats in this genome. In addition, local profiles of complexity distribution around the starts of translation were constructed for 21 complete prokaryotic genomes. We hypothesize that complexity profiles correspond to evolutionary relationships between organisms. We found principal differences in profiles of the GC-rich and other (non-GC-rich) genomes. We also found characteristic differences in profiles of AT genomes, which probably reflect individual species variations in translational regulation. AVAILABILITY: The program is available upon request from Alexander Bolshoy or at http://csweb.haifa.ac.il/library/#complex.

Algorithms↗
PubMed2005

Genetic progress in multistage dairy cattle breeding schemes using genetic markers.

The aim of this paper was to explore general characteristics of multistage breeding schemes and to evaluate multistage dairy cattle breeding schemes that use information on quantitative trait loci (QTL). Evaluation was either for additional genetic response or for reduction in number of progeny-tested bulls while maintaining the same response. The reduction in response in multistage breeding schemes relative to comparable single-stage breeding schemes (i.e., with the same overall selection intensity and the same amount of information in the final stage of selection) depended on the overall selection intensity, the selection intensity in the various stages of the breeding scheme, and the ratio of the accuracies of selection in the various stages of the breeding scheme. When overall selection intensity was constant, reduction in response increased with increasing selection intensity in the first stage. The decrease in response was highest in schemes with lower overall selection intensity. Reduction in response was limited in schemes with low to average emphasis on first-stage selection, especially if the accuracy of selection in the first stage was relatively high compared with the accuracy in the final stage. Closed nucleus breeding schemes in dairy cattle that use information on QTL were evaluated by deterministic simulation. In the base scheme, the selection index consisted of pedigree information and own performance (dams), or pedigree information and performance of 100 daughters (sires). In alternative breeding schemes, information on a QTL was accounted for by simulating an additional index trait. The fraction of the variance explained by the QTL determined the correlation between the additional index trait and the breeding goal trait. Response in progeny test schemes relative to a base breeding scheme without QTL information ranged from +4.5% (QTL explaining 5% of the additive genetic variance) to +21.2% (QTL explaining 50% of the additive genetic variance). A QTL explaining 5% of the additive genetic variance allowed a 35% reduction in the number of progeny tested bulls, while maintaining genetic response at the level of the base scheme. Genetic progress was up to 31.3% higher for schemes with increased embryo production and selection of embryos based on QTL information. The challenge for breeding organizations is to find the optimum breeding program with regard to additional genetic progress and additional (or reduced) cost.

Animals↗
PubMed2004

Fuzzy J-Means and VNS methods for clustering genes from microarray data.

MOTIVATION: In the interpretation of gene expression data from a group of microarray experiments that include samples from either different patients or conditions, special consideration must be given to the pleiotropic and epistatic roles of genes, as observed in the variation of gene coexpression patterns. Crisp clustering methods assign each gene to one cluster, thereby omitting information about the multiple roles of genes. RESULTS: Here, we present the application of a local search heuristic, Fuzzy J-Means, embedded into the variable neighborhood search metaheuristic for the clustering of microarray gene expression data. We show that for all the datasets studied this algorithm outperforms the standard Fuzzy C-Means heuristic. Different methods for the utilization of cluster membership information in determining gene coregulation are presented. The clustering and data analyses were performed on simulated datasets as well as experimental cDNA microarray data for breast cancer and human blood from the Stanford Microarray Database. AVAILABILITY: The source code of the clustering software (C programming language) is freely available from Nabil.Belacel@nrc-cnrc.gc.ca

Algorithms↗
PubMed2025

Genetic structuring and estimation of reproductive adults in Onchocerca volvulus: A genome-wide analysis across hosts and regions.

Genomic analysis of parasites can deepen our understanding of their transmission, population structure, and important biological characteristics. Onchocerciasis (river blindness), caused by the parasitic nematode Onchocerca volvulus, involves adult worms residing in subcutaneous nodules that produce larval-stage microfilariae (mf), which are routinely detected in the skin for diagnosis. Whole-genome studies of mf are limited; most analyses have focused on the mitochondrial genome. We conducted a genome-wide analysis with 94% median nuclear genome coverage, analyzing 171, 37, and 98 mf from 16, 3, and 5 individuals from Ghana, Liberia, and the Democratic Republic of Congo, respectively. These data were used to investigate population differentiation, estimate the number of reproductive adult worms, and analyze genetic variation across chromosomes. Population genetic analyses across hosts and countries showed that nuclear genome diversity can reveal fine-scale genetic structure, even between geographically close countries, providing more resolution than mitochondrial haplotype data. By reconstructing maternal and paternal sibships, we estimated the number of reproductively active adult filariae. Comparisons between adult worm estimates from genetic data and nodule observations showed that genetics-based estimates were higher or equal to observed worm counts in 8 out of 9 hosts for female worms and 7 out of 9 hosts for male worms. Our analysis also revealed lower-than-expected X chromosome diversity, consistent with neo-X chromosome fusions in filarial species. This study represents an important step in using nuclear genome data from mf to support onchocerciasis elimination efforts and in developing genetic tools that could inform mass drug administration programs.

Onchocerca volvulus↗
PubMed2001

Phenotypic variations of orpk mutation and chromosomal localization of modifiers influencing kidney phenotype.

The Oak Ridge polycystic kidney (orpk) mutant mouse model resulted from a transgene insertion into the Tg737 gene and exhibits a pleiotropic syndrome with lesions in the kidney, liver, and pancreas. We found marked differences in the phenotypic expression of the orpk mutation when bred on different genetic backgrounds. In the FVB/N background, the phenotype is very severe for kidney, pancreas, and liver lesions. To evaluate better how genetic background might influence the expressivity of the orpk phenotype, we bred the transgene into the C3HeB/FeJLe (C3H) genetic background. We performed a genome-wide scan using backcross and intercross populations with more than 150 markers to map the chromosomal location of the modifier genes that differ in the FVB/N and C3H genetic backgrounds that affect the severity of kidney disease in the orpk mouse. Low-resolution interval mapping was performed using the Map Manager QTb program, with the interval explaining a significant portion of the variance being the distal end of chromosome 4.

Animals↗
PubMed2002

The genetics of alcoholism in Polynesians: alcohol and aldehyde dehydrogenase genotypes in young men.

BACKGROUND: The last 10 years have seen growing recognition of the significance of the genes encoding enzymes responsible for hepatic alcohol metabolism as protective factors in the development of alcoholism. METHODS: We have developed DNA sequencing assays for measuring genetic variation at the alcohol dehydrogenase 2 (ADH2), ADH3, and aldehyde dehydrogenase 2 (ALDH2) loci. These have been used to survey volunteer control subjects from three New Zealand ethnic groups (white, Asian, and Polynesian) and young male alcoholics recruited from white and New Zealand Maori patients in a local treatment program. RESULTS: The allele frequency values for whites and Asians obtained in our study closely match those obtained previously in other laboratories. Our data (the first for Polynesians) are 0.42 for ADH2*2, 0.78 for ADH3*1, and 0.00 for ALDH2*2. In the New Zealand Maori alcoholic patients, the ADH2*2 frequency is significantly lower (0.15; p < 0.01). The frequency of ADH3*1 is also lower in this group (0.60), but this value is not significant (0.05 < p < 0.06). CONCLUSIONS: In young male New Zealand Maori, the ADH2*2 allele is a protective factor against alcoholism even in the absence of ALDH2*2.

Alcohol Dehydrogenase↗
PubMed2001

Predictors of progression in Barrett's esophagus II: baseline 17p (p53) loss of heterozygosity identifies a patient subset at increased risk for neoplastic progression.

OBJECTIVES: Most patients with Barrett's esophagus do not progress to cancer, but those who do seem to have markedly increased survival when cancers are detected at an early stage. Most surveillance programs are based on histological assessment of dysplasia, but dysplasia is subject to observer variation and transient diagnoses of dysplasia increase the cost of medical care. We have previously validated flow cytometric increased 4N fractions and aneuploidy as predictors of progression to cancer in Barrett's esophagus. However, multiple somatic genetic lesions develop during neoplastic progression in Barrett's esophagus, and it is likely that a panel of objective biomarkers will be required to manage the cancer risk optimally. METHODS: We prospectively evaluated endoscopic biopsies from 325 patients with Barrett's esophagus, 269 of whom had one or more follow-up endoscopies, by a robust platform for loss of heterozygosity (LOH) analysis, using baseline 17p (p53) LOH as a predictor and increased 4N, aneuploidy, high-grade dysplasia, and esophageal adenocarcinoma as outcomes. RESULTS: The prevalence of 17p (p53) LOH at baseline increased from 6% in negative for dysplasia to 57% in high-grade dysplasia (p < 0.001). Patients with 17p (p53) LOH had increased rates of progression to cancer (relative risk [RR] = 16, p < 0.001), high-grade dysplasia (RR = 3.6, p = 0.02), increased 4N (RR = 6.1, p < 0.001), and aneuploidy (RR = 7.5, p < 0.001). CONCLUSIONS: Patients with 17p (p53) LOH are at increased risk for progression to esophageal adenocarcinoma as well as high-grade dysplasia, increased 4N, and aneuploidy. 17p (p53) LOH is a predictor of progression in Barrett's esophagus that can be combined with a panel of other validated biomarkers for risk assessment as well as intermediate endpoints in prevention trials.

Adenocarcinoma↗
PubMed2004

Evaluating genetic relationships between tropical maize inbred lines by means of AFLP profiling.

Diversity among tropical maize inbred lines that compose breeding programs, is not well known. The lack of this information has made the arrangement of heterotic groups to be used for breeding purposes difficult. Methods of molecular analysis have been used as efficient alternatives for evaluating genetic diversity, aiming at heterotic group arrangement and acquisition of new hybrids. In this study, AFLP (amplified fragment length polymorphism) was used to investigate the genetic relationships among 96 tropical maize inbred lines from two different origins. The polymorphism level among the genotypes and the possibility of their allocation in heterotic groups were evaluated. Besides, correlations among genetic diversity and flowering time were analyzed. Nine primer combinations were used to obtain AFLP markers, producing 638 bands, 569 of which were polymorphic. Genetic similarities (GS), determined by Jaccard's similarity coefficient, varied from 0.345 to 0.891, with an average of 0.543. The dendrogram based on the GS and on the UPGMA cluster method did not separate the inbred lines in well-defined groups. Aiming at separating the lines into more accurate groups, Tocher's optimization procedure was carried out, 17 groups being identified. Association between flowering time and germplasm pools was detected. AFLP showed itself to be a robust assay, revealing a great power of detection of genetic variability in the tropical germplasm, and also demonstrated to be very useful for guiding breeding programs.

Brazil↗
PubMed2003

The evolution of cell death programs as prerequisites of multicellularity.

One of the hallmarks of multicellularity is that the individual cellular fate is sacrificed for the benefit of a higher order of life-the organism. The accidental death of cells in a multicellular organism results in swelling and membrane-rupture and inevitably spills cell contents into the surrounding tissue with deleterious effects for the organism. To avoid this form of necrotic death the cells of metazoans have developed complex self-destruction mechanisms, collectively called programmed cell death, which see to an orderly removal of superfluous cells. Since evolution never invents new genes but plays variations on old themes by DNA mutations, it is not surprising, that some of the genes involved in metazoan death pathways apparently have evolved from homologues in unicellular organisms, where they originally had different functions. Interestingly some unicellular protozoans have developed a primitive form of non-necrotic cell death themselves, which could mean that the idea of an altruistic death for the benefit of genetically identical cells predated the invention of multicellularity. The cell death pathways of protozoans, however, show no homology to those in metazoans, where several death pathways seem to have evolved in parallel. Mitochondria stands at the beginning of several death pathways and also determines, whether a cell has sufficient energy to complete a death program. However, the endosymbiotic bacterial ancestors of mitochondria are unlikely to have contributed to the recent mitochondrial death machinery and therefore, these components may derive from mutated eukaryotic precursors and might have invaded the respective mitochondrial compartments. Although there is no direct evidence, it seems that the prokaryotic-eukaryotic symbiosis created the space necessary for sophisticated death mechanisms on command, which in their distinct forms are major factors for the evolution of multicellular organisms.

Animals↗
PubMed2000

Genotype, phenotype, and developmental biology of molar tooth characters.

Primate molar shapes reflect developmental and ecological processes. Development may constrain as well as facilitate evolution of new tooth shapes, affecting how reliable dental characters are in phylogenetic studies. Much of the genetic machinery of development uses the same genes among different organs, including teeth, limbs, and feathers. Furthermore, within a tooth, the development of individual cusps repeatedly uses the same set of developmental genes, forming a "developmental module." The repeated activation of the developmental module can explain the cumulative variation in later-developing cusps. Therefore short, later-developing cusps may be evolvable but also more homoplastic. This patterning cascade mode of cusp development can be used to explain the variational properties of dental characters and character states related to cusp initiation. The developmental basis and variational properties of crown termination, cusp shape, and cusp configuration characters are currently less well understood. It is unlikely that there is a simple "gene to phenotype" map for dental characters. Rather, the whole cusp pattern is a product of a dynamic developmental program manifested in the activation of the developmental modules.

Animals↗
PubMed2002

Molecular characterization of Hb D-Ibadan [beta87(F3)Thr-->Lys] in combination with Hb S [beta6(A3)Glu-->Val] and with beta+-Thalassemia: report of two cases.

Hb D-Ibadan [beta87(F3)Thr-->Lys] is a common variant in the Nigerian population, which has been reported in association with Hb S [beta6(A3)Glu-->Val] and with beta-thalassemia. Unlike the Hb S/Hb D-Los Angeles [beta121(GH4)Glu-->Gln] combination, compound heterozygosity for Hb D-Ibadan and Hb S does not result in a sickling disorder. We report the first case of a combination of Hb D-Ibadan with beta+-thalassemia, and the first observation of Hb S/Hb D-Ibadan in the African-American population. In both cases, the characterization of Hb D-Ibadan was achieved by sequencing of the genomic DNA. Although protein based methods such as isoelec-trofocusing and high performance liquid chromatography may suggest that the "D-like" variant is different from Hb D-Los Angeles, the definitive identification of the variant by structural analysis or molecular genetic methods should be undertaken, particularly in newborn screening programs when the variant is found in combination with Hb S.

Adult↗
PubMed2004

BLAST2GENE: a comprehensive conversion of BLAST output into independent genes and gene fragments.

SUMMARY: BLAST2GENE is a program that allows a detailed analysis of genomic regions containing completely or partially duplicated genes. From a BLAST (or BL2SEQ) comparison of a protein or nucleotide query sequence with any genomic region of interest, BLAST2GENE processes all high scoring pairwise alignments (HSPs) and provides the disposition of all independent copies along the genomic fragment. The results are provided in text and PostScript formats to allow an automatic and visual evaluation of the respective region. AVAILABILITY: The program is available upon request from the authors. A web server of BLAST2GENE is maintained at http://www.bork.embl.de/blast2gene

Algorithms↗
PubMed2003

Genetics in dental practice: social and ethical issues surrounding genetic testing.

It is evident that human genetic variation is associated with many if not all human diseases including the more prevalent chronic diseases. As a result, genetics is becoming integrated into health care in all medical specialties, including oral medicine and its specialties. At the level of public health, genetic information will become increasingly important in research, policy, and program development. As application of genome technologies moves from the research laboratory to the clinical setting, a complex array of challenges will face dental clinicians in their efforts to use genetic information to improve health care and prevent disease on an individual, family, and community level. The broader social, ethical, and legal implications raised by the clinical use of genomic information have not received the same attention as did recent gene identification aspects of the Human Genome Project. The goal of this review is to foster attention and dialogue within the dental community of the ethical and social issues emerging from the availability of genetic information. Specific areas addressed include genetic testing, confidentiality, discrimination, informed consent, risk communication, and professional education.

Confidentiality↗
PubMed2006

Application of machine learning in SNP discovery.

BACKGROUND: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given species. Polymorphism detection software PolyBayes and PolyPhred give high false positive SNP predictions even with stringent parameter values. We developed a machine learning (ML) method to augment PolyBayes to improve its prediction accuracy. ML methods have also been successfully applied to other bioinformatics problems in predicting genes, promoters, transcription factor binding sites and protein structures. RESULTS: The ML program C4.5 was applied to a set of features in order to build a SNP classifier from training data based on human expert decisions (True/False). The training data were 27,275 candidate SNP generated by sequencing 1973 STS (sequence tag sites) (12 Mb) in both directions from 6 diverse homozygous soybean cultivars and PolyBayes analysis. Test data of 18,390 candidate SNP were generated similarly from 1359 additional STS (8 Mb). SNP from both sets were classified by experts. After training the ML classifier, it agreed with the experts on 97.3% of test data compared with 7.8% agreement between PolyBayes and experts. The PolyBayes positive predictive values (PPV) (i.e., fraction of candidate SNP being real) were 7.8% for all predictions and 16.7% for those with 100% posterior probability of being real. Using ML improved the PPV to 84.8%, a 5- to 10-fold increase. While both ML and PolyBayes produced a similar number of true positives, the ML program generated only 249 false positives as compared to 16,955 for PolyBayes. The complexity of the soybean genome may have contributed to high false SNP predictions by PolyBayes and hence results may differ for other genomes. CONCLUSION: A machine learning (ML) method was developed as a supplementary feature to the polymorphism detection software for improving prediction accuracies. The results from this study indicate that a trained ML classifier can significantly reduce human intervention and in this case achieved a 5-10 fold enhanced productivity. The optimized feature set and ML framework can also be applied to all polymorphism discovery software. ML support software is written in Perl and can be easily integrated into an existing SNP discovery pipeline.

Algorithms↗
PubMedDate not supplied

Chromosomal and mitochondrial DNA variation in orang utans.

Wild-born orang utans held in zoos do not have their geographic origins defined, which has complicated comparisons of the two subspecies of orang utans (Bornean orang utans, Pongo pygmaeus pygmaeus, and Sumatran orang utans, P. pygmaeus abelii). The resulting confusion concerning the subspecies identity of individual orang utans and a larger controversy over the desirability of utilizing subspecies designations in orang utan breeding programs has focused attention on the need for a phylogenetic analysis of the species and an examination of the appropriateness of the subspecific designations. Previous studies have suggested that an inversion in the second chromosome pair (PPY2) is a diagnostic subspecies marker and that mitochondrial DNA (mtDNA) and nuclear genetic markers may also be used to identify the subspecies origin of individual orang utans. In an effort to assist zoological parks in examining the question of genetic divergence of orang utan subspecies, we have studied the chromosomes of 144 orang utans, including 58 wild-born individuals. To gain insight into phylogenetic divisions of these apes, mtDNA restriction cleavage site variation has been investigated in 14 individuals whose karyotypic status was known. These investigations have confirmed the existence of two phylogenetic lineages of orang utans based on mtDNA cleavage patterns and demonstrated that these lineages correspond with the two populations characterized by the G-banded morphology of the second pair of chromosomes. The two orang utan phylogenetic units comprise individuals that generally conform to the recognized allopatric, morphological subspecies. Based on current knowledge, the view that the named orangutan subspecies each constitute a distinct phylogenetic lineage more consistent with species-level divergence is supported.

Animals↗
PubMed1996

A statistical test of a neutral model using the dynamics of cytonuclear disequilibria.

In this paper we use cytonuclear disequilibria to test the neutrality of mtDNA markers. The data considered here involve sample frequencies of cytonuclear genotypes subject to both statistical sampling variation as well as genetic sampling variation. First, we obtain the dynamics of the sample cytonuclear disequilibria assuming random drift alone as the source of genetic sampling variation. Next, we develop a test statistic using cytonuclear disequilibria via the theory of generalized least squares to test the random drift model. The null distribution of the test statistic is shown to be approximately chi-squared using an asymptotic argument as well as computer simulation. Power of the test statistic is investigated under an alternative model with drift and selection. The method is illustrated using data from cage experiments utilizing different cytonuclear genotypes of Drosophila melanogaster. A program for implementing the neutrality test is available upon request.

Animals↗
PubMed1986

Association of amino levulinate dehydratase levels and ferrochelatase inhibition in childhood lead exposure.

The basis for the clinical variation in response to lead exposure in children is not well understood. We studied selected children from a large lead screening program in whom elevation of red cell protoporphyrin concentration (a measure of inhibition of the enzyme ferrochelatase) was markedly above or below average for a given blood lead level. We then measured the activity of the enzyme amino levulinate dehydratase in 306 of these children, and found that ALA-d activity was lower in children with higher protoporphyrin elevation, independent of the effects of lead. This observation, coupled with reports in the literature of families with ALA-d deficiencies and elevated red cell protoporphyrin values, makes likely a genetic basis for some of the variation in susceptibility to lead. The mechanism by which the two effects are associated remains unknown.

Adolescent↗