Organisation profile

Organisation profile

The Bristol Population Health Science Institute is a leading centre of expertise supporting interdisciplinary population health science research; a key priority for our city, our region and worldwide.

 

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Dive into the research topics where Bristol Population Health Science Institute is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Collaborations and top research areas from the last five years

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  • 100 ancient genomes show repeated population turnovers in Neolithic Denmark

    Allentoft, M. E., Sikora, M., Fischer, A., Sjögren, K.-G., Ingason, A., Macleod, R., Rosengren, A., Schulz Paulsson, B., Jørkov, M. L. S., Novosolov, M., Stenderup, J., Price, T. D., Fischer Mortensen, M., Nielsen, A. B., Ulfeldt Hede, M., Sørensen, L., Nielsen, P. O., Rasmussen, P., Jensen, T. Z. T. & Refoyo-Martínez, A. & 48 others, Irving-Pease, E. K., Barrie, W., Pearson, A., Sousa da Mota, B., Demeter, F., Henriksen, R. A., Vimala, T., McColl, H., Vaughn, A., Vinner, L., Renaud, G., Stern, A., Johannsen, N. N., Ramsøe, A. D., Schork, A. J., Ruter, A., Gotfredsen, A. B., Henning Nielsen, B., Brinch Petersen, E., Kannegaard, E., Hansen, J., Buck Pedersen, K., Pedersen, L., Klassen, L., Meldgaard, M., Johansen, M., Uldum, O. C., Lotz, P., Lysdahl, P., Bangsgaard, P., Petersen, P. V., Maring, R., Iversen, R., Wåhlin, S., Anker Sørensen, S., Andersen, S. H., Jørgensen, T., Lynnerup, N., Lawson, D. J., Rasmussen, S., Korneliussen, T. S., Kjær, K. H., Durbin, R., Nielsen, R., Delaneau, O., Werge, T., Kristiansen, K. & Willerslev, E., 10 Jan 2024, In: Nature. 625, 7994, p. 329-337 9 p.

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    Open Access
    11 Citations (Scopus)
  • 42.Mendelian Randomization

    Gormley, M., Faber, B. G. & Davey Smith, G., 21 Mar 2024, (Accepted/In press) Vogel and Motulsky's Human Genetics: Problems and Approaches . Springer Nature

    Research output: Chapter in Book/Report/Conference proceedingChapter in a book

  • A Bayesian Model Based on Local Phenotypic Resistance Data to Inform Empiric Antibiotic Escalation Decisions

    Bamber, R., Sullivan, B., Gorman, L., Lee, W. W. Y., Avison, M. B., Dowsey, A. W. & Williams, P. B., 18 Jul 2024, (E-pub ahead of print) In: Infectious diseases and therapy. 13, 9, p. 1963-1981 19 p.

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    Open Access