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A whole genome association study in Icelandic multiple sclerosis patients with 4804 markers.

Multiple sclerosis (MS) is a demyelinating disorder of the central nervous system (CNS) with a complex genetic background. Here we use a genome-wide association strategy with 4804 microsatellite markers successfully typed in separately pooled DNA from 200 patients and 200 controls. A total of 91 markers showed evidence of association. When compared to our in-house physical map of the genome, six 2-Mb regions containing at least two of these markers were detected. Of those, three regions have one or more markers among the 20 most strongly associated: chromosomes 3q25, 6p21.3 (the MHC region) and 19q13.

Case-Control Studies↗

Potyvirus genome-linked protein (VPg) determines pea seed-borne mosaic virus pathotype-specific virulence in Pisum sativum.

The mechanism of Pisum sativum pathotype-specific resistance to pea seed-borne mosaic potyvirus (PSbMV) was investigated and the coding region determinant of PSbMV virulence was defined. Homozygous recessive sbm-1 peas are unable to support replication of PSbMV pathotype 1 (P-1), whereas biochemically and serologically related pathotype 4 (P-4) is fully infectious in the sbm-1/sbm-1 genotype. We were unable to detect viral coat protein or RNA with double antibody sandwich-enzyme-linked immunosorbent assay and reverse transcription-polymerase chain reaction in sbm-1/sbm-1 P-1-inoculated protoplasts and plants. Lack of viral coat protein or RNA in P-1 transfected sbm-1/sbm-1 protoplasts suggests that sbm-1 resistance is occurring at the cellular level and that inhibition of cell-to-cell virus movement is not the operating form of resistance. In addition, because virus products were not detected at any time post-inoculation, resistance must either be constitutive or expressed very early in the virus infection process. P-1-resistant peas challenged with full-length, infectious P-1/P-4 recombinant clones demonstrated that a specific P-4 coding region, the 21-kDa, genome-linked protein (VPg), was capable of overcoming sbm-1 resistance, whereas clones containing the P-1 VPg coding region were noninfectious to sbm-1/sbm-1 peas. VPg is believed to be involved in potyvirus replication and its identification as the PSbMV determinant of infectivity in sbm-1/sbm-1 peas is consistent with disruption of an early P-1 replication event.

Amino Acid Sequence↗

Functional genomics: lessons from yeast.

Functional genomics represents a systematic approach to elucidating the function of the novel genes revealed by complete genome sequences. Such an approach should adopt a hierarchical strategy since this will both limit the number of experiments to be performed and permit a closer and closer approximation to the function of any individual gene to be achieved. Moreover, hierarchical analyses have, in their early stages, tremendous integrative power and functional genomics aims at a comprehensive and integrative view of the workings of living cells. The first draft of the human genome sequence has just been produced, and the complete genome sequences of a number of eukaryotic human pathogens (including the parasitic protozoa Plasmodium, Leishmania, and Trypanosoma) will soon be available. However, the most rapid progress in the elucidation of gene function will initially be made using model organisms. Yeast is an excellent eukaryotic model and at least 40% of single-gene determinants of human heritable diseases find homologues in yeast. We have adopted a systematic approach to the functional analysis of the Saccharomyces cerevisiae genome. A number of the approaches for the functional analysis of novel yeast genes are discussed. The different approaches are grouped into four domains: genome, transcriptome, proteome, and metabolome. The utility of genetic, biochemical, and physico-chemical methods for the analysis of these domains is discussed, and the importance of framing precise biological questions, when using these comprehensive analytical methods, is emphasized. Finally, the prospects for elucidating the function of protozoan genes by using the methods pioneered with yeast, and even exploiting Saccharomyces itself, as a surrogate, are explored.

Fungal Proteins↗

A genome-wide screen for association in Hungarian multiple sclerosis.

Although the pathogenesis of multiple sclerosis (MS) is not fully understood, substantial evidence points to the involvement of genetic factors. We report on a genome-wide screen for disease association in the Hungarian population using 5532 microsatellite markers. These markers were typed in DNA pools that consisted of 88 MS patients (cases), and 128 unrelated controls. Based on a stringent selection criterion, we obtained 33 markers suggesting association with the disease.

Adult↗

Genetic strategies for antibacterial drug discovery.

The availability of genome sequences is revolutionizing the field of microbiology. Genetic methods are being modified to facilitate rapid analysis at a genome-wide level and are blossoming for human pathogens that were previously considered intractable. This revolution coincided with a growing concern about the emergence of microbial drug resistance, compelling the pharmaceutical industry to search for new antimicrobial agents. The availability of the new technologies, combined with many genetic strategies, has changed the way that researchers approach antibacterial drug discovery.

Anti-Bacterial Agents↗

Strategies for detecting susceptibility genes in a complex disease.

One of the current issues in genetic epidemiology is detecting susceptibility genes on the genome. It is common now to undertake systematic screening of the genome using approaches based on a measure of the haplotype sharing in sib pairs. Here, we compare the efficiency of two statistics, the maximum likelihood score (MLS) and the nonparametric linkage score (NPLa) on the simulated data provided for GAW11. A question often raised is whether it is better to perform a single-step or a two-step strategy. For the simulated model, and whatever the strategy used, we show here that the answer is not unequivocal. In both cases, the power to detect susceptibility genes in a single replicate with MLS or NPL is extremely low. With two replicates, only one of the four simulated loci could be detected with reasonable power. When gametic disequilibrium is suspected, methods testing for both linkage and association might be more powerful.

Genetic Linkage↗

The Mycobacterium tuberculosis Rv1099c gene encodes a GlpX-like class II fructose 1,6-bisphosphatase.

There are now abundant data indicating that Mycobacterium tuberculosis uses fatty acids as a carbon source in vivo. A key enzyme in gluconeogenesis, missing in the original annotation of the M. tuberculosis genome, is fructose 1,6-bisphosphatase (FBPase; EC 3.1.3.11). The authors have shown that M. tuberculosis Rv1099c, a glpX homologue, can complement Escherichia coli mutants lacking FBPase. The protein encoded by Rv1099c was shown to have FBPase activity. Rv1099c was expressed at significant levels in M. tuberculosis, and may encode the major FBPase of this pathogen.

Escherichia coli↗

Sex differences in the genetic basis of morning serum cortisol levels: genome-wide screen identifies two novel loci specific to women.

CONTEXT: Relatively little is known about the influence of specific genes on cortisol levels, particularly morning cortisol levels. OBJECTIVE: The objective of this study was to identify quantitative trait loci associated with morning serum cortisol levels. DESIGN: We carried out a genome screen for morning serum cortisol using linkage and association methods tailored for use in large pedigrees. We conducted these analyses both in the whole sample and partitioned by sex. SETTING: This study was conducted on nine communal Hutterite farms in South Dakota. PARTICIPANTS: The Hutterites are a young founder population who practice a communal, farming lifestyle in the western United States and in Canada. Hutterites (n = 504, 53% female) aged 11-89 yr from a single pedigree participated in this study. MAIN OUTCOME MEASURES: The main outcome measures were markers significantly linked or associated with variation in morning serum cortisol levels. RESULTS: One genome-wide significant association was identified in the whole sample on 11p (D11S1981, P = 0.000092). Results of sex-partitioned analyses indicated that this association was restricted to females (females, P = 0.000084; males, P = 0.20). The 146-bp allele at this locus accounted for 7% of the variance in morning cortisol values in females, and females homozygous for the allele had an 89% increase in morning cortisol levels compared with female noncarriers. A second genome-wide significant association in females was identified on 14q (D14S74, P = 0.000091). CONCLUSIONS: Our results suggest that the genetic determinants of morning cortisol levels may be different for men and women and that loci on 11p and 14q influence morning cortisol levels in women.

Adolescent↗

A graphical approach for presenting linkage results from a genomic screen.

Initially, a sib-pair linkage analysis was performed between the marker loci and six untransformed variables. Results from several variations of this initial analysis were compared using a graphical approach (P-plots) to simplify presentation. When results were compared to the generating model, most of the aspects of the generating model were recovered, although we did not find evidence of the polygenic component shared by Q2 and Q3, or evidence of linkage between MG4 and Q4 at the 0.01 level.

Chromosome Mapping↗

A genome scan for loci linked to quantitative insulin traits in persons without diabetes: the Framingham Offspring Study.

AIMS/HYPOTHESIS: Hyperinsulinaemia and insulin resistance usually precede clinical hyperglycaemia and Type 2 diabetes. Thus, plasma insulin concentrations and insulin resistance are important quantitative traits associated with risk of Type 2 diabetes, and represent key measures for genetic analysis of the syndrome. METHODS: We carried out a genome-wide search for loci related to plasma insulin concentrations and insulin resistance in 330 extended, community-based pedigrees from the Framingham Heart Study. Normalized deviates of the standardized residuals of plasma insulin concentrations in the fasting state, 2 h after oral glucose challenge and as a measure of insulin resistance were used in linkage analysis with the variance components model implemented in the computer program SOLAR. RESULTS: The results suggest susceptibility loci influencing plasma concentrations of fasting insulin and insulin resistance on chromosomes 11 (LOD 2.43 at 85 cM close to D11S2002) and 17 (LOD 1.8 at 60 cM, close to D17S784); and susceptibility loci influencing 2-h plasma insulin concentrations on chromosomes 9 (LOD 2.8 at 80 cM, close to D9S922) and 19 (LOD 1.8 at 66 cM, close to D19S245). The results of the analysis of 1000 simulations of the trait and an unlinked marker suggest that in a genome scan of 401 markers fewer than one LOD score over 1 would be due to Type 1 error, and be a false positive. CONCLUSION/INTERPRETATION: We conclude that these suggestive regions for quantitative pre-diabetic insulin traits could contain major loci in the pathogenesis of Type 2 diabetes.

Adolescent↗

Proposal of real-world solutions for the implementation of predictive biomarker testing in patients with operable non-small cell lung cancer.

The implementation of biomarker testing for targeted therapies and immune checkpoint inhibitors is a cornerstone in the management of metastatic and locally advanced non-small cell lung cancer (NSCLC), playing a pivotal role in guiding treatment decisions and patient care. The emergence of precision medicine in the realm of operable NSCLC has been marked by the recent approvals of osimertinib, atezolizumab, nivolumab, pembrolizumab and alectinib for early-stage disease, signifying a shift towards more tailored therapeutic strategies. Concurrently, the landscape of this disease is rapidly evolving, with several further pending approvals and numerous clinical trials in progress. To harness the benefits of these innovative neo-adjuvant and adjuvant therapies, the integration of predictive biomarker testing into standard clinical protocols is imperative for patients with operable NSCLC. A multidisciplinary international consortium has identified three primary obstacles impeding the effective testing of patients with operable NSCLC. These challenges encompass the limited number of test requests by physicians, the inadequacy of tissue samples for comprehensive testing, and the prevalence of cost-reduction measures leading to suboptimal testing practices. This review delineates the aforementioned challenges and proposed solutions, and strategic recommendations aimed at enhancing the testing process. By addressing these issues, we strive to optimize patient outcomes in operable NSCLC, ensuring that individuals receive the most appropriate and effective care based on their unique disease profile.

Humans↗

Genomewide two-generation screens for recessive mutations by ES cell mutagenesis.

Forward genetic mutation screens in mice are typically begun by mutagenizing the germline of male mice with N-ethyl-N-nitrosourea (ENU). Genomewide recessive mutations transmitted by these males can be rendered homozygous after three generations of breeding, at which time phenotype screens can be performed. An alternative strategy for randomly mutagenizing the mouse genome is by chemical treatment of embryonic stem (ES) cells. Here we demonstrate the feasibility of performing genome-wide mutation screens with only two generations of breeding. Mice potentially homozygous for mutations were obtained by crossing chimeras derived from ethylmethane sulfonate (EMS)-mutagenized ES cells to their daughters, or by intercrossing offspring of chimeras. This strategy was possible because chimeras transmit variations of the same mutagenized diploid genome, whereas ENU-treated males transmit numerous unrelated genomes. This also results in a doubling of screenable mutations in a pedigree compared to germline ENU mutagenesis. Coupled with the flexibility to treat ES cells with a variety of potent mutagens and the ease of producing distributable, quality-controlled, long-term supplies of cells in a single experiment, this strategy offers a number of advantages for conducting forward genetic screens in mice.

Animals↗

Genome-wide scan for type 1 diabetic nephropathy in the Finnish population reveals suggestive linkage to a single locus on chromosome 3q.

Diabetic nephropathy (DN) is the primary cause of morbidity and mortality in patients with type 1 as well as type 2 diabetes, and accounts for 40% of end-stage renal disease in the Western world. Familial clustering of DN suggests importance of genetic factors in the development of the disease. In the present study, we performed a two-stage genome-wide scan to search for chromosomal loci containing susceptibility genes for nephropathy in patients with type 1 diabetes. In total, 83 discordant sib pairs (DSPs), sibs concordant for type 1 diabetes but discordant for nephropathy, were collected from Finland, a homogeneous population with one of the highest incidences of type 1 diabetes. To map loci for DN, we applied DSP analysis to detect linkage. In the initial scan, 73 DSPs were typed using 900 markers with an average intermarker distance of approximately 4 cM. Multipoint DSP analysis identified five chromosome regions (3q, 4p, 9q, 16q, and 22p) with maximum logarithm of odds (LOD) score (MLS) >or=1.0 (corresponding to a nominal P-value <or=0.015). In the second stage, additional 43 markers flanking these five loci were genotyped in all 83 DSPs. Using simulations, we determined the empirical threshold with LOD score of 1.76 and 3.12 for suggestive and significant linkage, respectively. No locus reached the genome-wide significance of 5%. However, one locus on 3q reached suggestive linkage with MLS of 2.67 (P=4.4 x 10(-4)). These results, together with data from others, suggest that the locus on 3q most likely has a susceptibility gene for DN.

Adolescent↗

The genetics of multiple sclerosis: principles, background and updated results of the United Kingdom systematic genome screen.

Genetic susceptibility to multiple sclerosis is implicated on the basis of classical family studies and phenotype analyses. The only reproducible legacy from the candidate gene approach has been the discovery of population associations with alleles of the major histocompatibility complex. Systematic genome scanning has since been applied using a panel of anonymous markers to identify areas of linkage in co-affected siblings. Here, we describe the principles of genome screening and update the UK survey of multiple sclerosis. This identified 20 regions of potential interest, but in none was there unequivocal linkage. In theory, attempting to replicate these findings in a second set of sibling pair families is the most appropriate way to distinguish true from false positives, but unfortunately the number of families required to do this reliably is prohibitively large. We used three approaches to increase the definition achieved by the screen: (i) the number of sibling pairs typed in an identified region of potential linkage was extended; (ii) the information extraction was increased in an identified region; and (iii) a search was made for missed regions of potential linkage. Each of these approaches has considerable limitations. A chromosome-by-chromosome account is given to direct future searches. Although an additional marker placed distal to the 'hit' on chromosome 14q increased linkage in this area, and typing extra sibling pairs increased linkage on chromosomes 6p and 17q, evidence for linkage was more commonly reduced and no additional regions of interest were found. A further refinement of the genome screen was undertaken by conditioning for the presence of HLA-DR15. This produced a surprising degree of segregation among the regions of interest, which divided into two distinct groups depending on DR15 sharing: the DR15-sharing cohort comprised loci on chromosomal areas 1p, 17q and X; and the DR15-non-sharing cohort was made up of loci on 1cen, 3p, 7p, 14q and 22q. This result further highlights the genetic complexity of multiple sclerosis. What can now be inferred is that a gene of major effect is excluded from 95% of the genome and one with a moderate role from 65%, whereas genes which make a very small biological contribution cannot be discounted from any region. The available results suggest that multiple sclerosis depends on independent or epistatic effects of several genes each with small individual effects, rather than a very few genes of major biological importance.

Genetic Linkage↗

Impaired polyhydroxybutyrate biosynthesis from glucose in Pseudomonas sp. 14-3 is due to a defective beta-ketothiolase gene.

Pseudomonas sp. 14-3 accumulates polyhydroxybutyrate (PHB) from octanoate, but not from glucose. To elucidate this unusual phenotype, genes responsible for the synthesis of PHB were cloned and analyzed. A PHB polymerase gene (phaC) was found downstream from genes coding for a beta-ketothiolase (phaA), an acetoacetyl-coenzyme A reductase (phaB) and a putative transcriptional regulator (phaR). All genes were similar to pha genes from several related species, but differences were observed in the distal region of phaA. Complementation with heterologous beta-ketothiolase genes from Azotobacter sp. FA8 or Pseudomonas putida GPp104 restored the capability of Pseudomonas sp. 14-3 to synthesize PHB from glucose, demonstrating that its beta-ketothiolase was nonfunctional. Analysis of the genome sequences of other Pseudomonas species has revealed the existence of putative beta-ketothiolase genes. The functionality of one of these thiolase genes, belonging to P. putida GPp104, was experimentally demonstrated. Pseudomonas sp. 14-3 is the first natural phaA mutant described, that despite this mutation accumulates high amounts of PHB when growing on fatty acids.

Acetyl-CoA C-Acyltransferase↗

Computational prediction of microRNA genes in silkworm genome.

MicroRNAs (miRNAs) constitute a novel, extensive class of small RNAs (approximately 21 nucleotides), and play important gene-regulation roles during growth and development in various organisms. Here we conducted a homology search to identify homologs of previously validated miRNAs from silkworm genome. We identified 24 potential miRNA genes, and gave each of them a name according to the common criteria. Interestingly, we found that a great number of newly identified miRNAs were conserved in silkworm and Drosophila, and family alignment revealed that miRNA families might possess single nucleotide polymorphisms. miRNA gene clusters and possible functions of complement miRNA pairs are discussed.

Animals↗

Genetic studies in Borrelia burgdorferi.

Borrelia burgdorferi, the agent of Lyme disease, has recently joined a growing number of micro-organisms for which the entire genomic sequence is known. Despite this wealth of information, little is known about the contribution of specific spirochetal components to the pathogenesis of Lyme disease or their function in the normal life cycle of the organism. This discrepancy is due in part to the lack of a well-developed genetic system in B. burgdorferi, which in turn can be attributed to its relatively recent isolation and the dissimilarity of Borrelia from other genetically tractable bacteria. We are interested in several plasmid-encoded gene products in B. burgdorferi that may play a role in sensing and adaptation to the different environments the spirochete encounters as it completes an infectious cycle between the tick vector and the mammalian host. We are developing genetic tools with which to test the roles of specific B. burgdorferi gene products in the transmission cycle in an animal model of Lyme disease. We have demonstrated targeted gene inactivation by allelic exchange, using the gyrBr gene encoding coumermycin-resistant topoisomerase as a selectable marker. Spirochetes are transformed by electroporation and coumermycin-resistant colonies are screened by PCR for allelic exchange at the targeted locus. We have successfully inactivated several genes of interest in the type strain B31. We are investigating the utility of additional antibiotic resistance genes as selectable markers in B. burgdorferi. Targeted gene inactivation is a powerful tool with which to investigate the role of particular proteins in the basic biology and virulence of a pathogenic microorganism. We have made significant advances in our ability to genetically manipulate B. burgdorferi in order to address these issues. However, the available methods are incomplete and far from routine. We are currently improving existing methods as well as developing additional genetic tools with which to augment genetic studies in B. burgdorferi.

Borrelia burgdorferi Group↗