Søren Brunak

Søren Brunak

Professor

ORCID: 0000-0003-0316-5866

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  1. Published

    The impact of the protein interactome on the syntenic structure of mammalian genomes

    Kirk, I. K., Weinhold, N., Brunak, Søren & Belling, K., 2017, In: PLOS ONE. 12, 9, 14 p., e0179112.

    Research output: Contribution to journal › Journal article › Research › peer-review

  2. Published

    Chromosome-wise Protein Interaction Patterns and Their Impact on Functional Implications of Large-Scale Genomic Aberrations

    Kirk, I. K., Weinhold, N., Belling, K., Skakkebæk, Niels Erik, Jensen, T. S., Leffers, H., Juul, Anders & Brunak, Søren, 22 Mar 2017, In: Cell Systems. 4, 3, 11 p., 357-364.e3.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. Published

    Linking glycemic dysregulation in diabetes to symptoms, comorbidities, and genetics through EHR data mining

    Kirk, I. K., Simon, C., Banasik, K., Holm, P. C., Haue, A. D., Jensen, P. B., Jensen, L. J., Rodriguez, C. L., Pedersen, M. K., Eriksson, R., Andersen, H. U., Almdal, T., Bork-Jensen, J., Grarup, N., Borch-Johnsen, K., Pedersen, O., Pociot, F., Hansen, T., Bergholdt, R., Rossing, P. & 1 others, Brunak, Søren, 2019, In: eLife. 8, 19 p., e44941.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. ChemProt-2.0: visual navigation in a disease chemical biology database

    Kim Kjærulff, S., Wich, L., Kringelum, J., Jacobsen, U. P., Kouskoumvekaki, I., Audouze, K., Lund, O., Brunak, Søren, Oprea, T. I. & Taboureau, O., Jan 2013, In: Nucleic Acids Research. 41, Database issue, p. D464-9

    Research output: Contribution to journal › Journal article › Research

  5. Published

    Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review

    Kenner, B., Chari, S. T., Kelsen, D., Klimstra, D. S., Pandol, S. J., Rosenthal, M., Rustgi, A. K., Taylor, J. A., Yala, A., Abul-Husn, N., Andersen, D. K., Bernstein, D., Brunak, S., Canto, M. I., Eldar, Y. C., Fishman, E. K., Fleshman, J., Go, V. L. W., Holt, J. M., Field, B. & 14 others, Goldberg, A., Hoos, W., Iacobuzio-Donahue, C., Li, D., Lidgard, G., Maitra, A., Matrisian, L. M., Poblete, S., Rothschild, L., Sander, C., Schwartz, L. H., Shalit, U., Srivastava, S. & Wolpin, B., 2021, In: Pancreas. 50, 3, p. 251-279 29 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    Prediction of pancreatic fat and analysis of its determining factors using multi-omics datasets: an IMI DIRECTstudy

    Karaderi, Tugce, Mazzoni, G., Brorsson, C., Westergaard, David, Banasik, Karina, Koivula, R., Thomas, L., Bell, J., Franks, P., Pearson, E. & Brunak, Søren, 2019, In: Diabetologia. 62, p. S166-S166

    Research output: Contribution to journal › Conference abstract in journal › Research

  7. Published

    A second update on mapping the human genetic architecture of COVID-19

    Kanai, M., Andrews, S., Cordioli, M., Stevens, C., Neale, B. M., Daly, M., Ganna, A., Pathak, G. A., Ellinghaus, D., Banasik, K., Brunak, S., Pedersen, O. B., Westergaard, D., Sequeros, C. B., Nissen, J., Feldt-Rasmussen, U., Grønbæk, K., Ostrowski, S. R., Guindo-Martinez, M., Garcia, S. M. & 70 others, Hjalgrim, Henrik, Admin team lead, A. T. L., Admin team member, A. T. M., Analysis team lead, A. T. L., Analysis team member, A. T. M., Data collection lead, D. C. L., Data collection member, D. C. M., Manuscript analysis team lead, M. A. T. L., Manuscript analysis team members: Mendelian randomization, M. A. T. M. M. R., Manuscript analysis team members: methods development, M. A. T. M. M. D., Manuscript analysis team members: phenome-wide association study, M. A. T. M. P. A. S., Manuscript analysis team members: principal component projection, gene prioritization, M. A. T. M. P. C. P. G. P., Project management lead, P. M. L., Scientific communication lead, S. C. L., Scientific communication member, S. C. M., Writing group lead, W. G. L., Writing group member, W. G. M., 23andMe, 2., Adolescent brain and cognitive development study, A. B. A. C. D. S., Analysis group, A. G., Armenia_Covid-19hg, A., Assessment of the influence of clinical, functional, immunological and genetic factors on the severity of the course of coronavirus infection with SARS-CoV-2 and post-COVID syndrome, A. O. T. I. O. C. F. I. A. G. F. O. T. S. O. T. C. O. C. I. W. S. A. P. S., Avon Longitudinal Study of Parents and Children (ALSPAC), A. L. S. O. P. A. C. (., BelCovid, B., Biobanque Quebec COVID19, B. Q. C., BioVU, B., Bonn Study of COVID-19 Genetics, B. S. O. C. G., CGEn HostSeq—Canadian COVID-19 Human Host Genome Sequencing Databank, C. H. C. H. H. G. S. D., Colorado Center for Personalized Medicine—CCPM, C. C. F. P. M., COMRI/Virology Study, C. S., Covid19 Ioannina Biobank, C. I. B., COVID19-Host(a)ge, C., Covid19hg-CL, C., Danish COVID-19 Genomic Consortium, D. C. G. C., Egypt hgCOVID hub, E. H. H., EraCORE, E., FinnGen, F., French hgCOVID, F. H., GCAT. Genomes For Life, G. G. F. L., Genes & Health, G. &. H., Genetic influences on severity of COVID-19 illness in Korea, G. I. O. S. O. C. I. I. K., GenOMICC, G., Genotek COVID-19 study, G. C. S., Helix Exome+ COVID-19 Phenotypes, H. E. C. P., Host Genetic Factors for COVID-19 Severity and Outcome in Western Indian Population, H. G. F. F. C. S. A. O. I. W. I. P., Host Genetics in COVID Cohorts of Mixed ancestry from Mexico, H. G. I. C. C. O. M. A. F. M., Japan Coronavirus Taskforce, J. C. T., Japan NCGM-COVID19, J. N., Jordan COVID-19 Host Genomics Initiative (JCHGI), J. C. H. G. I. (., Leadership, L., Lung eQTL Consortium, L. E. C., Mass General Brigham—Host Vulnerability to COVID-19, M. G. B. V. T. C., MexGen-COVID, M., Pa-COVID-19, P., Project management group, P. M. G., Project management support, P. M. S., Qatar Genome Program, Q. G. P., SARS-CoV-2 and Host Genome sequencing, S. A. H. G. S., Scientific communication group, S. C. G., Search for Genomic Markers Predicting the Severity of the response to COVID-19, S. F. G. M. P. T. S. O. T. R. T. C., Spanish COalition to Unlock Research on host GEnetics on COVID-19 (SCOURGE), S. C. T. U. R. O. H. G. O. C. (., The Danish Blood Donor Study, T. D. B. D. S., The Genetic Predisposition to severe COVID-19, T. G. P. T. S. C., Tirschenreuth Study (TiKoco), T. S. (., UCLA Precision Health COVID-19 Host Genomics Biobank, U. P. H. C. H. G. B., UK Biobank, U. B., Variability in Immune Response Genes and Severity of SARS-CoV-2 Infection (INMUNGEN-CoV2 study), V. I. I. R. G. A. S. O. S. I. (. S., Website development, W. D., Writing Group, W. G. & The COVID-19 Host Genetics Initiative, T. C. H. G. I., 2023, In: Nature. 621, 7977, p. E7-E26 23 p.

    Research output: Contribution to journal › Comment/debate › Research › peer-review

  8. Published

    Using Machine Learning to Identify Patients at High Risk of Inappropriate Drug Dosing in Periods with Renal Dysfunction

    Kaas-Hansen, Benjamin Skov, Leal Rodríguez, C., Placido, Davide, Thorsen-Meyer, H., Nielsen, A. P., Dérian, N., Brunak, Søren & Andersen, Stig Ejdrup, 2022, In: Clinical Epidemiology. 14, p. 213-223 11 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records

    Kaas-Hansen, Benjamin Skov, Placido, Davide, Rodrìguez, C. L., Thorsen-Meyer, H., Gentile, S., Nielsen, A. P., Brunak, Søren, Jürgens, Gesche & Andersen, Stig Ejdrup, 2022, Authorea, (Authorea Preprints).

    Research output: Working paper › Preprint › Research

  10. Published

    Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter]

    Kaas-Hansen, Benjamin Skov, Leal Rodríguez, C., Placido, Davide, Thorsen-Meyer, H., Nielsen, A. P., Dérian, N., Brunak, Søren & Andersen, Stig Ejdrup, 2022, In: Clinical Epidemiology. 14, p. 765-766 2 p.

    Research output: Contribution to journal › Comment/debate › Research

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ID: 12895347