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Dr Tom Gaunt

Dr Tom Gaunt

Dr Tom Gaunt
BSc, PhD(Soton)

Reader in Bioinformatics

Area of research

Molecular genetics and bioinformatics

Office OS2A
Oakfield House,
Oakfield Grove, Clifton BS8 2BN
(See a map)

Tel. +44 (0) 117 3310132

Research summary

Bioinformatics

I co-lead the Data Mining and Bioinformatics theme in the MRC Integrative Epidemiology Unit, and oversee bioinformatics in the ALSPAC cohort. My specific research interests are in:

  • Statistical genetics software (MIDAS, CubeX and CoNVEM; see refs 1, 2 and 3)
  • Machine learning for outcome prediction (FSMKL, see ref 4)
  • Prediction of functional effects of genetic variants (FATHMM, see refs 5, 6 and 7)
  • Pleiotropy analysis (see ref 8)
  • Data integration and visualisation
  • Data mining
  • Microbiomic profiling using 16S-sequencing

Epigenetics

As a co-investigator in the BBSRC-funded Accessible Resource for Integrated Epigenomics Studies I have led the bioinformatic components of this ...

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Recent publications

  • Holzinger, ER, Verma, SS, Moore, CB, Hall, M, De, R, Gilbert-Diamond, D, Lanktree, MB, Pankratz, N, Amuzu, A, Burt, A, Dale, C, Dudek, S, Furlong, CE, Gaunt, TR, Kim, DS, Riess, H, Sivapalaratnam, S, Tragante, V, van Iperen, EPA, Brautbar, A, Carrell, DS, Crosslin, DR, Jarvik, GP, Kuivaniemi, H, Kullo, IJ, Larson, EB, Rasmussen-Torvik, LJ, Tromp, G, Baumert, J, Cruickshanks, KJ, Farrall, M, Hingorani, AD, Hovingh, GK, Kleber, ME, Klein, BE, Klein, R, Koenig, W, Lange, LA, Mӓrz, W, North, KE & others 2017, ‘Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals’. BioData Mining, vol 10., pp. 25
  • Haycock, PC, Burgess, S, Nounu, A, Zheng, J, Okoli, GN, Bowden, J, Wade, KH, Timpson, NJ, Evans, DM, Willeit, P, Aviv, A, Gaunt, TR, Hemani, G, Mangino, M, Ellis, HP, Kurian, KM, Pooley, KA, Eeles, RA, Lee, JE, Fang, S, Chen, WV, Law, MH, Bowdler, LM, Iles, MM, Yang, Q, Worrall, BB, Markus, HS, Hung, RJ, Amos, CI, Spurdle, AB, Thompson, DJ, O'Mara, TA, Wolpin, B, Amundadottir, L, Stolzenberg-Solomon, R, Trichopoulou, A, Onland-Moret, NC, Lund, E, Duell, EJ, Canzian, F & others 2017, ‘Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study’. JAMA Oncology.

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View complete publications list in the University of Bristol publications system

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