Identification of genetic elements in metabolism by high-throughput mouse phenotyping
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Steve D. M. Brown | Jacqueline K. White | Bret A. Moore | Aakash Chavan Ravindranath | Corey L. Reynolds | J. Mason | A. Beaudet | Lynette R. Bower | A. Flenniken | H. Fuchs | Xiang Gao | Y. Hérault | C. Lelliott | A. Mallon | H. Masuya | C. McKerlie | T. Meehan | S. Murray | H. Parkinson | T. Sorg | K. Svenson | David B. West | S. Wells | T. Werner | E. Wolf | G. Tocchini-Valentini | W. Wurst | M. Campillos | H. Grallert | M. Tschöp | M. Champy | J. Beckers | V. Gailus-Durner | J. Seong | L. Nutter | F. Bosch | H. Häring | M. Klingenspor | Nobuhiko Tanaka | M. Hrabě de Angelis | J. Rozman | A. Peter | B. Moore | H. Maier | F. Machicao | R. Sedláček | K. C. Kent Lloyd | Christine Schütt | B. Rathkolb | R. Brommage | Sapna Sharma | Hamed Haselimashhadi | A. Moshiri | Tertius A. Hough | H. Staiger | M. Dobbie | M. Willershäuser | S. Leuchtenberger | M. Kistler | C. Wang | Robert B. Braun | Luis A. Santos | Manuela A. Oestereicher | Paul Flicek | Mark W. Moore | B. A. Moore | Steve D. M. Brown | Martin Kistler
[1] Steve D. M. Brown,et al. A large scale hearing loss screen reveals an extensive unexplored genetic landscape for auditory dysfunction , 2017, Nature Communications.
[2] Steve D. M. Brown,et al. Prevalence of sexual dimorphism in mammalian phenotypic traits , 2017, Nature Communications.
[3] Steve D. M. Brown,et al. Disease Model Discovery from 3,328 Gene Knockouts by The International Mouse Phenotyping Consortium , 2017, Nature Genetics.
[4] A. Hattersley,et al. Precision diabetes: learning from monogenic diabetes , 2017, Diabetologia.
[5] Lynne Pearce,et al. Non-alcoholic fatty liver disease. , 2016, Nursing standard (Royal College of Nursing (Great Britain) : 1987).
[6] Stephen C. J. Parker,et al. The genetic architecture of type 2 diabetes , 2016, Nature.
[7] F. Middleton,et al. A splicing-regulatory polymorphism in DRD2 disrupts ZRANB2 binding, impairs cognitive functioning and increases risk for schizophrenia in six Han Chinese samples , 2016, Molecular Psychiatry.
[8] Tsippi Iny Stein,et al. The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses , 2016, Current protocols in bioinformatics.
[9] T. Kadowaki,et al. Genes associated with diabetes: potential for novel therapeutic targets? , 2016, Expert opinion on therapeutic targets.
[10] D. Glahn,et al. Genome- and epigenome-wide association study of hypertriglyceridemic waist in Mexican American families , 2016, Clinical Epigenetics.
[11] Minoru Kanehisa,et al. KEGG as a reference resource for gene and protein annotation , 2015, Nucleic Acids Res..
[12] M. Kas,et al. The preclinical data forum network: A new ECNP initiative to improve data quality and robustness for (preclinical) neuroscience , 2015, European Neuropsychopharmacology.
[13] D. Rothenbacher,et al. Prevalence, incidence and concomitant co-morbidities of type 2 diabetes mellitus in South Western Germany - a retrospective cohort and case control study in claims data of a large statutory health insurance , 2015, BMC Public Health.
[14] Julius O. B. Jacobsen,et al. A mouse informatics platform for phenotypic and translational discovery , 2015, Mammalian Genome.
[15] Henrik Westerberg,et al. Analysis of mammalian gene function through broad based phenotypic screens across a consortium of mouse clinics , 2015, Nature Genetics.
[16] H. Darwish,et al. Diabetes mellitus: The epidemic of the century. , 2015, World journal of diabetes.
[17] Monjur Ahmed,et al. Non-alcoholic fatty liver disease in 2015. , 2015, World journal of hepatology.
[18] Steve D. M. Brown,et al. Applying the ARRIVE Guidelines to an In Vivo Database , 2015, PLoS biology.
[19] István A. Kovács,et al. Widespread Macromolecular Interaction Perturbations in Human Genetic Disorders , 2015, Cell.
[20] M. Fornage,et al. Association of a 62 Variants Type 2 Diabetes Genetic Risk Score With Markers of Subclinical Atherosclerosis: A Transethnic, Multicenter Study , 2015, Circulation. Cardiovascular genetics.
[21] P. Froguel,et al. Rare and common genetic events in type 2 diabetes: what should biologists know? , 2015, Cell metabolism.
[22] Ross M. Fraser,et al. Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.
[23] N. Wareham,et al. Epidemiology of diabetes , 2014, Medicine.
[24] Gabi Kastenmüller,et al. SNiPA: an interactive, genetic variant-centered annotation browser , 2014, Bioinform..
[25] M. Estecio,et al. High-throughput screening of mouse gene knockouts identifies established and novel skeletal phenotypes , 2014, Bone Research.
[26] C. Thummel,et al. Epigenetic inheritance of metabolic state. , 2014, Current opinion in genetics & development.
[27] Eric Boerwinkle,et al. Pleiotropic genes for metabolic syndrome and inflammation. , 2014, Molecular genetics and metabolism.
[28] Tanya M. Teslovich,et al. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility , 2014 .
[29] Ramin Homayouni,et al. Functionally Enigmatic Genes: A Case Study of the Brain Ignorome , 2014, PloS one.
[30] Zheng Li,et al. Age–dependent regulation of synaptic connections by dopamine D2 receptors , 2013, Nature Neuroscience.
[31] Tanya M. Teslovich,et al. Discovery and refinement of loci associated with lipid levels , 2013, Nature Genetics.
[32] Gretchen A. Stevens,et al. National, regional, and global trends in adult overweight and obesity prevalences , 2012, Population Health Metrics.
[33] J. Hirschhorn,et al. Candidate genes for obesity-susceptibility show enriched association within a large genome-wide association study for BMI. , 2012, Human molecular genetics.
[34] Steve D. M. Brown,et al. The International Mouse Phenotyping Consortium: past and future perspectives on mouse phenotyping , 2012, Mammalian Genome.
[35] Tanya M. Teslovich,et al. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways , 2012, Nature Genetics.
[36] Claude Bouchard,et al. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance , 2012, Nature Genetics.
[37] Tom R. Gaunt,et al. Genetic Variants in Novel Pathways Influence Blood Pressure and Cardiovascular Disease Risk , 2011, Nature.
[38] Kasper Lage,et al. Pervasive Sharing of Genetic Effects in Autoimmune Disease , 2011, PLoS genetics.
[39] Peer Bork,et al. iPath2.0: interactive pathway explorer , 2011, Nucleic Acids Res..
[40] R. Corcoy. Comment on: Soranzo et al. Common Variants at 10 Genomic Loci Influence Hemoglobin A1C Levels via Glycemic and Nonglycemic Pathways. Diabetes 2010;59:3229–3239 , 2011, Diabetes.
[41] Josée Dupuis,et al. Meta‐analysis of gene‐environment interaction: joint estimation of SNP and SNP × environment regression coefficients , 2011, Genetic epidemiology.
[42] Juliane,et al. Edinburgh Research Explorer Common variants at 10 genomic loci influence hemoglobin A(C) levels via glycemic and nonglycemic pathways , 2010 .
[43] M. Owen,et al. EVIDENCE THAT PUTATIVE ADHD LOW RISK ALLELES AT SNAP25 MAY INCREASE THE RISK OF SCHIZOPHRENIA , 2009, Schizophrenia Research.
[44] Matthias Frisch,et al. LitInspector: literature and signal transduction pathway mining in PubMed abstracts , 2009, Nucleic Acids Res..
[45] Yoav Gilad,et al. Sex-specific genetic architecture of human disease , 2008, Nature Reviews Genetics.
[46] F. Schick,et al. Polymorphisms in the gene encoding adiponectin receptor 1 are associated with insulin resistance and high liver fat , 2005, Diabetologia.
[47] Werner Müller,et al. Introducing the German Mouse Clinic: open access platform for standardized phenotyping , 2005, Nature Methods.
[48] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[49] W C Willett,et al. Adjustment for total energy intake in epidemiologic studies. , 1997, The American journal of clinical nutrition.
[50] J. Zicha,et al. Epigenetics and a new look on metabolic syndrome. , 2015, Physiological research.
[51] John M. Hancock,et al. EuroPhenome and EMPReSS: online mouse phenotyping resource , 2008 .