Showing 1 - 9 results of 9 for search 'non-coding variance', query time: 0.10s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4

    Identification and functional characterization of G6PC2 coding variants influencing glycemic traits define an effector transcript at the G6PC2-ABCB11 locus. by Anubha Mahajan, Xueling Sim, Hui Jin Ng, Alisa Manning, Manuel A Rivas, Heather M Highland, Adam E Locke, Niels Grarup, Hae Kyung Im, Pablo Cingolani, Jason Flannick, Pierre Fontanillas, Christian Fuchsberger, Kyle J Gaulton, Tanya M Teslovich, N William Rayner, Neil R Robertson, Nicola L Beer, Jana K Rundle, Jette Bork-Jensen, Claes Ladenvall, Christine Blancher, David Buck, Gemma Buck, Noël P Burtt, Stacey Gabriel, Anette P Gjesing, Christopher J Groves, Mette Hollensted, Jeroen R Huyghe, Anne U Jackson, Goo Jun, Johanne Marie Justesen, Massimo Mangino, Jacquelyn Murphy, Matt Neville, Robert Onofrio, Kerrin S Small, Heather M Stringham, Ann-Christine Syvänen, Joseph Trakalo, Goncalo Abecasis, Graeme I Bell, John Blangero, Nancy J Cox, Ravindranath Duggirala, Craig L Hanis, Mark Seielstad, James G Wilson, Cramer Christensen, Ivan Brandslund, Rainer Rauramaa, Gabriela L Surdulescu, Alex S F Doney, Lars Lannfelt, Allan Linneberg, Bo Isomaa, Tiinamaija Tuomi, Marit E Jørgensen, Torben Jørgensen, Johanna Kuusisto, Matti Uusitupa, Veikko Salomaa, Timothy D Spector, Andrew D Morris, Colin N A Palmer, Francis S Collins, Karen L Mohlke, Richard N Bergman, Erik Ingelsson, Lars Lind, Jaakko Tuomilehto, Torben Hansen, Richard M Watanabe, Inga Prokopenko, Josee Dupuis, Fredrik Karpe, Leif Groop, Markku Laakso, Oluf Pedersen, Jose C Florez, Andrew P Morris, David Altshuler, James B Meigs, Michael Boehnke, Mark I McCarthy, Cecilia M Lindgren, Anna L Gloyn, T2D-GENES consortium and GoT2D consortium

    Published 2015-01-01
    “…Genome wide association studies (GWAS) for fasting glucose (FG) and insulin (FI) have identified common variant signals which explain 4.8% and 1.2% of trait variance, respectively. It is hypothesized that low-frequency and rare variants could contribute substantially to unexplained genetic variance. …”
    Get full text
    Article
  5. 5

    An approximate likelihood method reveals ancient gene flow between human, chimpanzee and gorilla by Galtier, Nicolas

    Published 2024-01-01
    “…Analysis of coding and non-coding data in primates illustrates the potential of the approach and reveals that a substantial fraction of the human/chimpanzee/gorilla phylogenetic conflict is due to ancient gene flow. …”
    Get full text
    Article
  6. 6

    Chromosome 9p21 SNPs Associated with Multiple Disease Phenotypes Correlate with ANRIL Expression. by Michael S Cunnington, Mauro Santibanez Koref, Bongani M Mayosi, John Burn, Bernard Keavney

    Published 2010-04-01
    “…Risk SNPs are mainly non-coding, suggesting that they influence expression and may act in cis. …”
    Get full text
    Article
  7. 7

    Multi-omics integration reveals chromatin-associated lncRNA prognostic model in lung adenocarcinoma: Bridging GWAS, transcriptome and clinical outcomes by Xiao Zhu, Zhuolong Xiong

    Published 2025-08-01
    “…This research aims to explore the association between long non-coding RNAs (lncRNAs) and chromatin histone methylation/demethylation modifiers in LUAD. …”
    Get full text
    Article
  8. 8

    Nuclear Multi‐Microsatellite Marker Profiling Provides Clues to Molecular Genetic Diversity in Culture‐Based Caspian Beluga Sturgeon (Huso huso) Brood Stocks: Ecological Mirror for... by Mehdi Moghim, Arash Javanmard, Faramarz Lolaei, Mohammad‐Javad Taghavi, Shima Bakhshalizadeh

    Published 2025-05-01
    “…Furthermore, we performed molecular analysis of variance (AMOVA), model‐based clustering, principal coordinate analysis (PCoA) and STRUCTURE analysis to genetically characterize the populations. …”
    Get full text
    Article
  9. 9