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PubMed2003

A genome-wide scan for primary open-angle glaucoma (POAG): the Barbados Family Study of Open-Angle Glaucoma.

Primary open-angle glaucoma (POAG) is characterized by damage to the optic nerve with associated loss of vision. Six named genetic loci have been identified as contributing to POAG susceptibility by genetic linkage analysis of mostly Caucasian families, and two of the six causative genes have been identified. The Barbados Family Study of Open-Angle Glaucoma (BFSG) was designed to evaluate the genetic component of POAG in a population of African descent. A genome-wide scan was performed on 1327 individuals from 146 families in Barbados, West Indies. Linkage results were based on models and parameter estimates derived from a segregation analysis of these families, and on model-free analyses. Two-point LOD scores >1.0 were identified on chromosomes 1, 2, 9, 10, 11, and 14, with increased multipoint LOD scores being found on chromosomes 2, 10, and 14. Fine mapping was subsequently carried out and indicated that POAG may be linked to intervals on chromosome 2q between D2S2188 and D2S2178 and chromosome 10p between D10S1477 and D10S601. Heterogeneity testing strongly supports linkage for glaucoma to at least one of these regions and suggests possible linkages to both. Although TIGR/myocilin and optineurin mutations have been shown to be causally linked to POAG in other populations, findings from this study do not support either of these as causative genes in an Afro-Caribbean population known to have relatively high rates of POAG.

Barbados↗

PubMed2004

Population subdivision and the Hudson-Kreitman-Aguade test: testing for deviations from the neutral model in organelle genomes.

The Hudson-Kreitman-Aguade (HKA) test is based on the prediction from the neutral theory that levels of polymorphism within a species and the divergence between two closely related species should be correlated. Population subdivision has been shown to alter both the amounts of polymorphism segregating within species and the rate of divergence between species, meaning that genomic regions with different population structures also differ in their divergence to polymorphism ratios. Population subdivision may hence hamper the utility of the HKA test for detecting deviations from the standard neutral model, especially for organelle genomes that often have different patterns of population structure compared with nuclear genes. In this paper, I show that population subdivision inflates the number of instances where the HKA test detects deviations from the neutral model. Using coalescent simulations I show that this bias is most apparent when population subdivision is strong and differs substantially between the loci included. However, if divergence time is large and population structure substantial even changes in the levels of polymorphism and divergence associated with differences in the effective population size between two loci is enough to substantially alter the number of significant outcomes of the HKA test. A dataset on cytoplasmic diversity in Sileine vulgaris and S. latifolia (Ingvarsson & Taylor, 2002) is also reanalysed. The previous study had shown a marked excess of intraspecific polymorphism in both species. However, when effects of population subdivision were removed, ad hoc, levels of intraspecific polymorphism were no longer significantly different from neutral expectations, suggesting that population subdivision contributed to the observed excess of intraspecific polymorphism seen in both species of Silene.

Computer Simulation↗

PubMed2006

Multiple QTL influence the serum Lp(a) concentration: a genome-wide linkage screen in the PROCARDIS study.

The serum concentration of lipoprotein Lp (a) is known to be highly heritable and associated with cardiovascular risk. A genome-wide variance component linkage analysis was performed to localise quantitative trait loci (QTLs) influencing Lp(a) levels in a large cohort collected in the PROCARDIS coronary heart disease study. Highly significant linkage was detected at the previously described LP(a) locus on chromosome 6q27 (LOD 108). Taking into account the effect of the locus detected on chromosome 6, a highly significant LOD score was detected on chromosome 13q22-31 (LOD 7.0). Another significant region of linkage was observed on chromosomes 11p14-15 (LOD 3.5). The significant peak at 13q22-31 shows an essential overlap with a locus modulating cholesterol in familial hypercholesterolemia. If the gene underlying these loci is the same, it will be a promising candidate target for manipulating LDL-cholesterol and Lp(a). We also detected linkage at a previously identified locus influencing Lp(a) on chromosome 1q23 (LOD 1.5). Our findings provide new and confirmatory information about genomic regions involved in the quantitative variation of Lp(a) and serve as a basis for further studies of candidate genes in these regions.

Aged↗

PubMed2000

Genome screening in human systemic lupus erythematosus: results from a second Minnesota cohort and combined analyses of 187 sib-pair families.

Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by a loss of immunologic tolerance to a multitude of self-antigens. Epidemiological data suggest an important role for genes in the etiology of lupus, and previous genetic studies have implicated the HLA locus, complement genes, and low-affinity IgG (Fcgamma) receptors in SLE pathogenesis. In an effort to identify new susceptibility loci for SLE, we recently reported the results of a genomewide microsatellite marker screen in 105 SLE sib-pair families. By using nonparametric methods, evidence for linkage was found in four intervals: 6p11-21 (near the HLA), 16q13, 14q21-23, and 20p12.3 (LOD scores >/=2.0), and weaker evidence in another nine regions. We now report the results of a second complete genome screen in a new cohort of 82 SLE sib-pair families. In the cohort 2 screen, the four best intervals were 7p22 (LOD score 2.87), 7q21 (LOD score 2.40), 10p13 (LOD score 2.24), and 7q36 (LOD score 2.15). Eight additional intervals were identified with LOD scores in the range 1.00-1.67. A combined analysis of MN cohorts 1 and 2 (187 sib-pair families) showed that markers in 6p11-p21 (D6S426, LOD score 4.19) and 16q13 (D16S415, LOD score 3.85) met the criteria for significant linkage. Three intervals (2p15, 7q36, and 1q42) had LOD scores in the range 1.92-2.06, and another 13 intervals had LOD scores in the range of 1.00-1.78 in the combined sample. These data, together with other available gene mapping results in SLE, are beginning to allow a prioritization of genomic intervals for gene discovery efforts in human SLE.

Adult↗

PubMed1983

Effects of DNA synthesis inhibitors on early antigen expression following primary infection or superinfection by Epstein-Barr virus.

Seven lymphoid cell lines previously characterized with respect to their resident Epstein-Barr virus (EBV) genome content were infected or superinfected with concentrated EBV from supernatant of the P3HR-1 cell line. Immunofluorescence assays were conducted on smears 48 hours after infection, using human sera containing antibodies to EBV early antigen (EA). Two EBV nuclear antigen (EBNA) negative cell lines containing no detectable resident EBV DNA and five EBNA positive cell lines containing EBV genomes were tested. The cell lines did not spontaneously express EBV EA (i.e., they were non-producers). All cell lines responded to infection or superinfection with EBV by expressing EA. Treatment of the cell lines with arabinosylcytosine (Ara-C) 10 micrograms/ml, at the time of infection resulted in significant decreases in the number of cells expressing detectable EA after drug treatment in all cell lines (72 +/- 5 percent inhibition of EA expression). Experiments were also conducted with hydroxyurea (HU) and phosphonoacetic acid (PAA). It was found that treatment with HU (100 micrograms/ml) inhibited EA production in cell lines containing EBV genome copies by 81 percent as compared to the superinfected cultures receiving no drug. In primary infection of EBNA negative cell lines, HU had minimal effects. PAA (100 micrograms/ml), on the other hand, had very little effect on EA expression following superinfection of cell lines harboring the EBV genome, but reduced the EA expression after primary infection of EBNA negative cell lines by 70 to 80 percent. All drugs were used at concentrations having little effect on RNA and protein synthesis. However, HU and Ara-C significantly reduced DNA synthesis and cell division in the treated cultures.

Antigens, Viral↗

PubMed2025

Shared genetic risk and causal associations between Post-traumatic stress disorder and migraine with antithrombotic agents and other medications.

Post-traumatic stress disorder (PTSD) is a psychiatric disorder that frequently co-occurs with pain disorders including migraine. There are proposed biological, genetic and environmental factors associated with both PTSD and migraine suggesting shared etiology. Genome-Wide Association Studies (GWAS) have been used to identify genomic risk loci associated with various disorders and to investigate genetic overlap between traits. There is a significant genetic correlation between PTSD and migraine with no evidence of a causal relationship that could be attributed to pleiotropy. Cross-disorder genetic analyses were applied to investigate the genetic overlap and causal associations using GWAS summary statistics of PTSD (n = 214408), migraine (n = 873341) and 23 medication use traits (n = 78808-305913) including anti-depressants, anti-migraine preparations and beta-blocking agents. Across the entire genome, anti-thrombotic agents had a significant and negative genetic correlation with PTSD (rG = -0.2, P FDR = 0.032) and a positive genetic correlation with migraine (rG = 0.26, P FDR = 2.23 x 10-8). PTSD showed significant genetic correlation with 11 other medication use traits including beta blocking agents (rG = -0.11, P FDR = 0.034). Of the 2495 genomic regions tested, PTSD showed significant local genetic correlation with 12 medication use traits at 43 loci; while migraine showed significant genetic correlation with only anti-inflammatory agents and anti-rheumatic products at locus 12:57522282-57607142 (DAB1) (P < 2 x 10-5). The genetic liability to PTSD had a causal effect on increased risk of using pain medication such as opioids (β ivw = 0.59, P = 5.21 x 10-5) while the genetic liability to migraine had a causal effect on the increased risk of using anti-thrombotic agents (β ivw = 0.59, P = 1.69 x 10-7). The genes in the genomic regions shared between PTSD and medication use traits were enriched in neural-related pathways such as neuron development, neurogenesis and protein kinase activity. These results provide further insight into the genetically controlled biological and environmental factors underlying the shared etiology between PTSD and migraine. The identified biomarkers can be used as a basis for investigation as potential drug targets for both disorders. These findings are significant for drug re-purposing and treatment of PTSD and migraine using monotherapy.

GWAS↗

PubMed2004

The evolving role of genomics in shaping care for persons with dementia.

Alzheimer's disease and other chronic dementing conditions remain formidable challenges for individuals, their families, and health care providers. In addition to the challenges inherent in the sheer numbers affected, the complex and relatively unpredictable progression of these disorders complicates the delivery of interventions for health care providers. Identifying genetic and environmental etiologic factors and understanding their relationship to the natural history of dementia brings health care providers closer to more effective pharmacologic treatments and perhaps cure. In the meantime, genomics research brings professional nurses closer to providing more specific, perhaps individualized, anticipatory guidance and to providing nonpharmacologic interventions in a genotype-directed way to patients with chronic dementing conditions. The emergence of a genomics-based health care environment presents an opportunity and a challenge for gerontological nurse clinicians, educators, and researchers--an opportunity to evolve practice toward a higher level of specificity and effectiveness and a challenge to do so in a equitable and sensitive manner that improves health and quality of life for all served.

Aged↗

PubMed2003

A genome-wide scan using tree-based association analysis for candidate loci related to fasting plasma glucose levels.

BACKGROUND: In the analysis of complex traits such as fasting plasma glucose levels, researchers often adjust the trait for some important covariates before assessing gene susceptibility, and may at times encounter confounding among the covariates and the susceptible genes. Previously, the tree-based method has been employed to accommodate the heterogeneity in complex traits. In this study, we performed a genome-wide screen on fasting glucose levels in the offspring generation of the Framingham Heart Study provided by the Genetic Analysis Workshop 13. We defined one quantitative trait and converted it to a dichotomous trait based on a predetermined cut-off value, and performed association analyses using regression and classification trees for the two traits, respectively. A marker was interpreted as positive if at least one of its alleles exhibited association in both analyses. Our purpose was to identify candidate genes susceptible to fasting glucose levels in the presence of other covariates. The covariates entered in the analysis including sex, body mass index, and lipids (total plasma cholesterol, high density lipoprotein cholesterol, and triglycerides) of the subjects, and those of their parents. RESULTS: Four out of seven positive regions in chromosomes 1, 2, 6, 11, 16, 18, and 19 from our analyses harbored or were very close to previously reported diabetes related genes or potential candidate genes. CONCLUSION: This screen method that employed tree-based association showed promise for identifying candidate loci in the presence of covariates in genome scans for complex traits.

Adult Children↗

PubMed2004

Genome-wide phenotype analysis in ES cells by regulated disruption of Bloom's syndrome gene.

The chief limitation of phenotype-based genetic screening in mammalian systems is the diploid nature of the genome. Cells deficient in the Bloom's syndrome gene (Blm) show an increased rate of loss of heterozygosity. Here we have used a tetracycline-regulated Blm allele (Blm(tet)) to introduce bi-allelic mutations across the genome in mouse embryonic stem (ES) cells. Transient loss of Blm expression induces homologous recombination not only between sister chromatids but also between homologous chromosomes. We considered that the phenotype of ES cells bearing bi-allelic mutations would be maintained after withdrawal of the tetracycline analogue doxycycline. Indeed, a combination of N-ethyl-N-nitrosourea mutagenesis and transient loss of Blm expression enabled us to generate an ES cell library with genome-wide bi-allelic mutations. The library was evaluated by screening for mutants of glycosylphosphatidylinositol-anchor biosynthesis, which involves at least 23 genes distributed throughout the genome. Mutants derived from 12 different genes were obtained and two unknown mutants were simultaneously isolated. Our results indicate that phenotype-based genetic screening with Blm(tet) is very efficient and raises possibilities for identifying gene functions in ES cells.

Adenosine Triphosphatases↗

PubMed1996

Increasing the efficiency of genomic searches for linkage in complex disorders by DNA pooling of affected sib-pairs.

Detection of linkage using a systematic genome scan in nuclear families including an affected sibling pair is an important initial step on the path to cloning susceptibility genes for complex genetic disorders such as bipolar disorder and schizophrenia. We describe a novel method in which the pooled genotype of each affected sib-pair is determined and used in the screening stage of a two-stage genome scan. This method, which involves a single PCR reaction per sib-pair in the screening stage can reduce the required number of genotypings to less than 20% of those required in a conventional single stage procedure whilst maintaining a similar power and probability of type I error.

Bipolar Disorder↗

PubMed1994

Fishing for complements: finding genes by direct selection.

Deriving a saturated gene map of a complex genome is a daunting undertaking. By current methods, finding all the genes in even a single megabase of the human genome is technically difficult. Direct selection is a technique focussed upon the isolation of cDNAs encoded by such large genomic regions and involves hybridization-based selection and PCR methods. It is particularly useful in the positional cloning of loci associated with genetic disease and for rapidly searching large genomic regions for transcriptional units that are normally expressed at low levels. Direct selection can produce up to 100,000-fold enrichment of specific cDNAs, and allows simultaneous searches to be conducted on many complex tissues. The applications of this technique extend to many approaches that involve cDNA cloning, including isolating related genes from complex pools of cDNA.

Chromosome Mapping↗

PubMed2006

An updated meta-analysis of genome scans for hypertension and blood pressure in the NHLBI Family Blood Pressure Program (FBPP).

A meta-analysis of the results from a multicenter genome-wide linkage study for hypertension and blood pressure (BP) based on an initial sample of 6,245 individuals was published in 2003. We report here a combined linkage analysis of hypertension and BP using the complete Family Blood Pressure Program (FBPP) dataset, which includes a total of 12,028 genotyped individuals. Genome-wide linkage analyses for hypertension and BP were first performed in each of the studied ethnic group within each network and the results were combined with a meta-analysis using a modified Fisher's method of combining P values. Our meta-analysis of genome scans for the latest FBPP dataset reveals suggestive linkage for hypertension and BP at several regions on the human genome. Strong evidence for linkage at two of these regions, 2p14 and 3p14.1, have also been published in previous meta-analyses, making them good candidate locations for susceptibility variants.

Adult↗

PubMed2003

[Genetics and essential hypertension: candidate genes or screening of the whole genome?].

Essential hypertension is a major cardiovascular risk factor in the industrialised countries. Its hereditary nature has been well established in many familial studies: about 30% of blood pressure variance is thought to be genetically determined. However, the identification of the culprit genes has met with many difficulties: the multitude of genes, the effect of which is difficult to appreciate, the many possible genetic polymorphisms of each gene studied, the very important role of environmental factors (diet, physical activity, etc...) on the blood pressure itself or on the effect of the genes which control the blood pressure. With the exception of some rare caricatural forms of mendelian transmitted hypertension, the search for genes has focused on large case control studies and/or studies of siblings with hypertension. Two main approaches are used with these collections of subjects. The first consists of analysing so-called "candidate" genes which code for proteins whose function is known and which may influence the blood pressure. In the last ten years, many candidate genes have been assessed with often controversial results. The second approach is to carry out, with no a priori, a complete screen of the genome. These more recent studies have also provided contradictory results. To date, the results illustrate the difficulty of genetic analysis of a complex trait and the necessity of more integrated approaches: analysis of combination of polymorphisms, analysis of a phenotype under standardised environmental conditions, analysis of gene-environment interactions.

Case-Control Studies↗

PubMed2005

VeloceGenomics: an accelerated in vivo drug discovery approach to rapidly predict the biologic, drug-like activity of compounds, proteins, or genes.

PURPOSE: The aim of this study is to test the predictive power of in vivo multiorgan RNA expression profiling in identifying the biologic activity of molecules. METHODS: Animals were treated with compound A or B. At the end of the treatment period, in vivo multiorgan microarray-based gene expression data were collected. Investigators masked to the identity of the compounds analyzed the transcriptome signatures to define the molecular pathways affected by treatment and to hypothesize the biologic activity and potential therapeutic indications of the blinded compounds. RESULTS: For compound A, G-protein-coupled receptors and factors associated with cell growth were affected-growth hormone/insulin-like growth factor-1, glucagon/insulin axes, and general somatomedin-like activity. Deblinding showed the compound to be a somatostatin analog, SOM230, confirming the accuracy of the predicted biologic activity. For compound B, components of the inflammatory cascade potentially mediated by lipopolysaccharide, tumor necrosis factor, or proinflammatory cytokines were affected. The gene expression signatures were most consistent with an interleukin-6 family activity. Deblinding revealed that compound B was leukemia inhibitory factor. CONCLUSIONS: VeloceGenomics is a strategy of coupling in vivo compound testing with genomic technologies. The process enables prediction of the mechanism of action and, coupled with other relevant data, prediction of the suitability of compounds for advancement in the drug development process.

Animals↗

PubMed1995

Effects on DNA synthesis and translocation caused by mutations in the RNase H domain of Moloney murine leukemia virus reverse transcriptase.

To determine the various roles of RNase H in reverse transcription, we generated a panel of mutations in the RNase H domain of Moloney murine leukemia virus reverse transcriptase based on sequence alignments and the crystal structures of Escherichia coli and human immunodeficiency virus type 1 RNases H (S. W. Blain and S. P. Goff, J. Biol. Chem. 268:23585-23592, 1993). These mutations were introduced into a full-length provirus, and the resulting genomes were tested for infectivity by transient transfection assays or after generation of stable producer lines. Several of the mutant viruses replicated normally, some showed significant delays in infectivity, and others were noninfectious. Virions were collected, and the products of the endogenous reverse transcription reaction were examined to determine which steps might be affected by these mutations. Some mutants left their minus-strand strong-stop DNA in RNA-DNA hybrid form, in a manner similar to that of RNase H null mutants. Some mutants showed increased polymerase pausing. Others were impaired in first-strand translocation, independently of their wild-type ability to degrade genomic RNA, suggesting a new role for RNase H in strand transfer. DNA products synthesized in vivo by the wild-type and mutant viruses were also examined. Whereas wild-type virus did not accumulate detectable levels of minus-strand strong-stop DNA, several mutants were blocked in translocation and did accumulate this intermediate. These results suggest that in vivo wild-type virus normally translocates minus-strand strong-stop DNA efficiently.

3T3 Cells↗

PubMed2004

Genotyping over 100,000 SNPs on a pair of oligonucleotide arrays.

We present a genotyping method for simultaneously scoring 116,204 SNPs using oligonucleotide arrays. At call rates >99%, reproducibility is >99.97% and accuracy, as measured by inheritance in trios and concordance with the HapMap Project, is >99.7%. Average intermarker distance is 23.6 kb, and 92% of the genome is within 100 kb of a SNP marker. Average heterozygosity is 0.30, with 105,511 SNPs having minor allele frequencies >5%.

Algorithms↗

PubMed1995

Molecular cloning of the leuB gene from Bacteroides fragilis by functional complementation in Escherichia coli.

Clones containing the Bacteroides fragilis leuB-complementing gene were isolated by screening of a B. fragilis genomic library constructed in Escherichia coli. One recombinant clone, designated pOT865, with the smallest DNA insert (4.5 kb) could complement three independent leuB mutations in E. coli and the leuB-complementing determinant in pOT865 was localized to a region of 1.5-kb DNA. The results of Southern blot analysis suggested that a single copy of the cloned gene was present in the B. fragilis genome. The cloned fragment appeared to contain a sequence that could function as promoter in E. coli and direct the synthesis of a 42-kDa protein. These results suggest that the cloned segment contains the structural gene for beta-isopropylmalate dehydrogenase (leuB).

3-Isopropylmalate Dehydrogenase↗

PubMed2000

Genome screen for QTLs contributing to normal variation in bone mineral density and osteoporosis.

A major determinant of the risk for osteoporosis is peak bone mineral density (BMD), which is largely determined by genetic factors. We recently reported linkage of peak BMD in a large sample of healthy sister pairs to chromosome 11q12-13. To identify additional loci underlying normal variations in peak BMD, we conducted an autosomal genome screen in 429 Caucasian sister pairs. Multipoint LOD scores were computed for BMD at four skeletal sites. Chromosomal regions with LOD scores above 1.85 were further pursued in an expanded sample of 595 sister pairs (464 Caucasians and 131 African-Americans). The highest LOD score attained in the expanded sample was 3.86 at chromosome 1q21-23 with lumbar spine BMD. Chromosome 5q33-35 gave a LOD score of 2.23 with femoral neck BMD. At chromosome 6p11-12, the 464 Caucasian pairs achieved a LOD score of 2.13 with lumbar spine BMD. Markers within the 11q12-13 region continued to support linkage to femoral neck BMD, although the peak LOD score was decreased to 2.16 in the sample of 595 sibling pairs. Our study is the largest genome screen to date for genes underlying variations in peak BMD and represents an important step toward identifying genes contributing to osteoporosis in the general population.

Adult↗