Search Results - "Paul, Dirk S."

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    PhenoScanner: a database of human genotype-phenotype associations by Staley, James R, Blackshaw, James, Kamat, Mihir A, Ellis, Steve, Surendran, Praveen, Sun, Benjamin B, Paul, Dirk S, Freitag, Daniel, Burgess, Stephen, Danesh, John, Young, Robin, Butterworth, Adam S

    Published in Bioinformatics (Oxford, England) (15-10-2016)
    “…PhenoScanner is a curated database of publicly available results from large-scale genetic association studies. This tool aims to facilitate 'phenome scans',…”
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    Journal Article
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    ProGeM: a framework for the prioritization of candidate causal genes at molecular quantitative trait loci by Stacey, David, Fauman, Eric B, Ziemek, Daniel, Sun, Benjamin B, Harshfield, Eric L, Wood, Angela M, Butterworth, Adam S, Suhre, Karsten, Paul, Dirk S

    Published in Nucleic acids research (10-01-2019)
    “…Abstract Quantitative trait locus (QTL) mapping of molecular phenotypes such as metabolites, lipids and proteins through genome-wide association studies…”
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    Genetic effects on promoter usage are highly context-specific and contribute to complex traits by Alasoo, Kaur, Rodrigues, Julia, Danesh, John, Freitag, Daniel F, Paul, Dirk S, Gaffney, Daniel J

    Published in eLife (08-01-2019)
    “…Genetic variants regulating RNA splicing and transcript usage have been implicated in both common and rare diseases. Although transcript usage quantitative…”
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    Selfish mutations dysregulating RAS-MAPK signaling are pervasive in aged human testes by Maher, Geoffrey J, Ralph, Hannah K, Ding, Zhihao, Koelling, Nils, Mlcochova, Hana, Giannoulatou, Eleni, Dhami, Pawan, Paul, Dirk S, Stricker, Stefan H, Beck, Stephan, McVean, Gilean, Wilkie, Andrew O M, Goriely, Anne

    Published in Genome research (01-12-2018)
    “…Mosaic mutations present in the germline have important implications for reproductive risk and disease transmission. We previously demonstrated a phenomenon…”
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    Functional interpretation of non-coding sequence variation: Concepts and challenges by Paul, Dirk S., Soranzo, Nicole, Beck, Stephan

    Published in BioEssays (01-02-2014)
    “…Understanding the functional mechanisms underlying genetic signals associated with complex traits and common diseases, such as cancer, diabetes and Alzheimer's…”
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    Tensorial blind source separation for improved analysis of multi-omic data by Teschendorff, Andrew E, Jing, Han, Paul, Dirk S, Virta, Joni, Nordhausen, Klaus

    Published in Genome Biology (08-06-2018)
    “…There is an increased need for integrative analyses of multi-omic data. We present and benchmark a novel tensorial independent component analysis (tICA)…”
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    Increased DNA methylation variability in rheumatoid arthritis-discordant monozygotic twins by Webster, Amy P, Plant, Darren, Ecker, Simone, Zufferey, Flore, Bell, Jordana T, Feber, Andrew, Paul, Dirk S, Beck, Stephan, Barton, Anne, Williams, Frances M K, Worthington, Jane

    Published in Genome medicine (04-09-2018)
    “…Rheumatoid arthritis is a common autoimmune disorder influenced by both genetic and environmental factors. Epigenome-wide association studies can identify…”
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    Genetically personalised organ-specific metabolic models in health and disease by Foguet, Carles, Xu, Yu, Ritchie, Scott C., Lambert, Samuel A., Persyn, Elodie, Nath, Artika P., Davenport, Emma E., Roberts, David J., Paul, Dirk S., Di Angelantonio, Emanuele, Danesh, John, Butterworth, Adam S., Yau, Christopher, Inouye, Michael

    Published in Nature communications (29-11-2022)
    “…Understanding how genetic variants influence disease risk and complex traits (variant-to-function) is one of the major challenges in human genetics. Here we…”
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    Maps of open chromatin highlight cell type-restricted patterns of regulatory sequence variation at hematological trait loci by Paul, Dirk S, Albers, Cornelis A, Rendon, Augusto, Voss, Katrin, Stephens, Jonathan, van der Harst, Pim, Chambers, John C, Soranzo, Nicole, Ouwehand, Willem H, Deloukas, Panos

    Published in Genome research (01-07-2013)
    “…Nearly three-quarters of the 143 genetic signals associated with platelet and erythrocyte phenotypes identified by meta-analyses of genome-wide association…”
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