17 research outputs found

    'Sifting the significance from the data' - the impact of high-throughput genomic technologies on human genetics and health care.

    Get PDF
    This report is of a round-table discussion held in Cardiff in September 2009 for Cesagen, a research centre within the Genomics Network of the UK's Economic and Social Research Council. The meeting was arranged to explore ideas as to the likely future course of human genomics. The achievements of genomics research were reviewed, and the likely constraints on the pace of future progress were explored. New knowledge is transforming biology and our understanding of evolution and human disease. The difficulties we face now concern the interpretation rather than the generation of new sequence data. Our understanding of gene-environment interaction is held back by our current primitive tools for measuring environmental factors, and in addition, there may be fundamental constraints on what can be known about these complex interactions.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

    Identification of a novel asthma susceptibility gene on chromosome 1qter and its functional evaluation

    No full text
    Asthma is a multifactorial disease, in which the intricate interplay between genetic and environmental factors underlies the overall phenotype of the disease. Using a genome-wide scan for linkage in a population comprising of Danish families, we identified a novel linked locus on chromosome 1qter (LOD 3.6, asthma) and supporting evidence for this locus was identified for both asthma and atopic-asthma phenotypes in the GAIN (Genetics of Asthma International Network) families. The putative susceptibility gene was progressively localized to a 4.5 Mb region on chromosome 1q adjacent to the telomere, through a series of genotyping screens. Further screening using the pedigree-based association test (PBAT) identified polymorphisms in the OPN3 and CHML genes as being associated with asthma and atopic asthma after correcting for multiple comparisons. We observed that polymorphisms flanking the OPN3 and CHML genes wholly accounted for the original linkage in the Danish population and the genetic association was also confirmed in two separate studies involving the GAIN families. OPN3 and CHML are unique genes with no known function that are related to the pathophysiology of asthma. Significantly, analysis of gene expression at both RNA and protein levels, clearly demonstrated OPN3 expression in lung bronchial epithelia as well as immune cells, while CHML expression appeared minimal. Moreover, OPN3 down-regulation by siRNA knock-down in Jurkat cells suggested a possible role for OPN3 in modulation of T-cell responses. Collectively, these data suggest that OPN3 is an asthma susceptibility gene on 1qter, which unexpectedly may play a role in immune modulation

    Phenome-wide association study using research participants’ self-reported data provides insight into the Th17 and IL-17 pathway

    Get PDF
    <div><p>A phenome-wide association study of variants in genes in the Th17 and IL-17 pathway was performed using self-reported phenotypes and genetic data from 521,000 research participants of 23andMe. Results replicated known associations with similar effect sizes for autoimmune traits illustrating self-reported traits can be a surrogate for clinically assessed conditions. Novel associations controlling for a false discovery rate of 5% included the association of the variant encoding p.Ile684Ser in <i>TYK2</i> with increased risk of tonsillectomy, strep throat occurrences and teen acne, the variant encoding p.Arg381Gln in <i>IL23R</i> with a decrease in dandruff frequency, the variant encoding p.Asp10Asn in <i>TRAF3IP2</i> with risk of male-pattern balding, and the <i>RORC</i> regulatory variant (rs4845604) with protection from allergies. This approach enabled rapid assessment of association with a wide variety of traits and investigation of traits with limited reported associations to overlay meaningful phenotypic context on the range of conditions being considered for drugs targeting this pathway.</p></div

    A genome-wide search for linkage to asthma phenotypes in the genetics of asthma international network families: Evidence for a major susceptibility locus on chromosome 2p

    No full text
    Asthma is a complex disease and the intricate interplay between genetic and environmental factors underlies the overall phenotype of the disease. Families with at least two siblings with asthma were collected from Europe, Australia and the US. A genome scan using a set of 364 families with a panel of 396 microsatellite markers was conducted. Nonparametric linkage analyses were conducted for asthma and three asthma-related phenotypes: bronchial hyper-reactivity (BHR), strict definition of asthma and atopic asthma. Nine chromosomal regions with LOD scores greater than 1.5 were identified (chromosomes 1q, 2p, 3q, 4p, 4q, 6q, 12q, 20p and 21). Linkage refinement analysis was performed for three BHR loci by genotyping single nucleotide polymorphisms at an average marker density of 1 cM. The LOD scores increased to 3.07 at chromosome 4p and 4.58 at chromosome 2p, while the chromosome 6p locus did not refine. The LOD score at the chromosome 2p locus is highly significant on a genome-wide basis. The refined locus covers a region with a physical size of 12.2 Mb. Taken together, these results provide evidence for a major asthma susceptibility locus on chromosome 2p

    Heat map of selected PheWAS associations.

    No full text
    <p>Associations are shown for each variant with each trait, for the set of all traits that had association with any -variant at 5% FDR. For each association, black circles are drawn with area proportional to the effect size point estimate (inner circle) and 95% upper confidence limit (outer circle), scaled relative to the maximum within each trait. The inner circle is colored according to the effect direction (blue to red) and significance (color scale according to association Z score, with corresponding q value cut-offs shown in the legend). Traits and [variants] are ordered using hierarchical clustering on Euclidean distances between columns [and rows] of the association Z score matrix.</p
    corecore