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Grant, R. C. et al. (2018) Exome-wide association study of pancreatic cancer risk. Gastroenterology, 154(3), 719-722.e3. (doi:10.1053/j.gastro.2017.10.015) (PMID:29074453)

Wandy, J., Zhu, Y., van der Hooft, J. J.J., Daly, R., Barrett, M. P. and Rogers, S. (2018) web-based topic modelling for substructure discovery in mass spectrometry. Bioinformatics, 34(2), pp. 317-318. (doi:10.1093/bioinformatics/btx582) (PMID:28968802)

Dreyer, S.B., Jamieson, N.B., Upstill-Goddard, R., Bailey, P.J., McKay, C.J., Australian Pancreatic Cancer Genome Initiative, , Biankin, A.V. and Chang, D.K. (2018) Defining the molecular pathology of pancreatic body and tail adenocarcinom. British Journal of Surgery, 105(2), e183-e191. (doi:10.1002/bjs.10772) (PMID:29341146) (PMCID:PMC5817249)

Alivernini, S., Gremese, E., McSharry, C., Tolusso, B., Ferraccioli, G., McInnes, I. B. and Kurowska-Stolarska, M. (2018) MicroRNA-155—at the critical interface of innate and adaptive immunity in arthritis. Frontiers in Immunology, 8, 1932. (doi:10.3389/fimmu.2017.01932) (PMID:29354135) (PMCID:PMC5760508)

Grieve, E., Hesselgreaves, H., Wu, O., Chalkidou, K., Ruiz, F., Smith, P., Li, R., Morris, L. and Briggs, A. (2017) The Value of Health Technology Assessment: a mixed methods framework. F1000Research, 6, 2171. (doi:10.7490/f1000research.1115169.1)

Gloaguen, Y., Morton, F., Daly, R., Gurden, R., Rogers, S. , Wandy, J., Wilson, D., Barrett, M. and Burgess, K. (2017) PiMP my metabolome: An integrated, web-based tool for LC-MS metabolomics data. Bioinformatics, 33(24), pp. 4007-4009. (doi:10.1093/bioinformatics/btx499) (PMID:28961954)

Delles, C. et al. (2017) Nuclear magnetic resonance-based metabolomics identifies phenylalanine as a novel predictor of incident heart failure hospitalisation: results from PROSPER and FINRISK 1997. European Journal of Heart Failure, (doi:10.1002/ejhf.1076) (PMID:29226610) (Early Online Publication)

Cooke, S. L. et al. (2017) The driver mutational landscape of ovarian squamous cell carcinomas arising in mature cystic teratoma. Clinical Cancer Research, 23(24), pp. 7633-7640. (doi:10.1158/1078-0432.CCR-17-1789) (PMID:28954785)

Jones, J. L., Oien, K. A., Lee, J. L. and Salto-Tellez, M. (2017) Morphomolecular pathology: setting the framework for a new generation of pathologists. British Journal of Cancer, 117(11), pp. 1581-1582. (doi:10.1038/bjc.2017.340) (PMID:29123262) (PMCID:PMC5729440)

Moore, D. A., Young, C. A., Morris, H. T., Oien, K. A., Lee, J. L., Jones, J. L. and Salto-Tellez, M. (2017) Time for change: a new training programme for morpho-molecular pathologists? Journal of Clinical Pathology, (doi:10.1136/jclinpath-2017-204821) (PMID:29113995) (Early Online Publication)

Savoia, C., Volpe, M., Grassi, G., Borghi, C., Rosei, E. A. and Touyz, R. M. (2017) Personalized medicine—a modern approach for the diagnosis and management of hypertension. Clinical Science, 131(22), pp. 2671-2685. (doi:10.1042/CS20160407) (PMID:29109301) (PMCID:PMC5736921)

Scott, P., Cornet, R., McCowan, C. and Peek, N. (2017) Addendum to Informatics for Health 2017: Advancing both science and practice. Journal of Innovation in Health Informatics, 24(3), pp. 291-310. (doi:10.14236/jhi.v24i3.969) (PMID:29121853)

Scarpa, A. et al. (2017) Corrigendum: Whole-genome landscape of pancreatic neuroendocrine tumours. Nature, 550(7677), p. 548. (doi:10.1038/nature24026) (PMID:28953865)

Joshi, P. K. et al. (2017) Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nature Communications, 8(1), 910. (doi:10.1038/s41467-017-00934-5) (PMID:29030599) (PMCID:PMC5715013)

Watts, A. E. et al. (2017) MicroRNA29a treatment improves early tendon injury. Molecular Therapy, 25(10), pp. 2415-2426. (doi:10.1016/j.ymthe.2017.07.015) (PMID:28822690)

Rodie, M.E., Mudaliar, M.A.V. , Herzyk, P., McMillan, M., Boroujerdi, M., Chudleigh, S., Tobias, E.S. and Ahmed, S.F. (2017) Androgen-responsive non-coding small RNAs extend the potential of HCG stimulation to act as a bioassay of androgen sufficiency. European Journal of Endocrinology, 177(4), pp. 339-346. (doi:10.1530/EJE-17-0404) (PMID:28733293)

Nixon, R., Cerqueira, V., Kyriakou, A., Lucas-Herald, A., McNeilly, J., McMillan, M., Purvis, A., Tobias, E.S., McGowan, R. and Ahmed, S.F. (2017) Prevalence of endocrine and genetic abnormalities in boys evaluated systematically for a disorder of sex development. Human Reproduction, 32(10), pp. 2130-2137. (doi:10.1093/humrep/dex280) (PMID:28938747)

Kraja, A. T. et al. (2017) New blood pressure–associated loci identified in meta-analyses of 475 000 individuals. Circulation: Cardiovascular Genetics, 10(5), e001778. (doi:10.1161/CIRCGENETICS.117.001778) (PMID:29030403)

Jha, J.C. et al. (2017) NADPH oxidase-Nox5 accelerates renal injury in a mouse model of diabetic nephropathy. Journal of the American Society of Nephrology, 66(10), pp. 2691-2703. (doi:10.2337/db16-1585) (PMID:28747378)

Price, A. H., Weir, C. J., Welsh, P. , McLachlan, S., Strachan, M. W.J., Sattar, N. and Price, J. F. (2017) Comparison of non-traditional biomarkers, and combinations of biomarkers, for vascular risk prediction in people with type 2 diabetes: The Edinburgh Type 2 Diabetes Study. Atherosclerosis, 264, pp. 67-73. (doi:10.1016/j.atherosclerosis.2017.07.009) (PMID:28777936) (PMCID:PMC5603967)

Raphael, B. J. et al. (2017) Integrated genomic characterization of pancreatic ductal adenocarcinoma. Cancer Cell, 32(2), 185-203.e13. (doi:10.1016/j.ccell.2017.07.007) (PMID:28810144)

Zhang, Z.‐Y. et al. (2017) Novel urinary peptidomic classifier predicts incident heart failure. Journal of the American Heart Association, 6(8), e005432. (doi:10.1161/JAHA.116.005432) (PMID:28784649) (PMCID:PMC5586413)

Jenks, S. J., Conway, B. R., McLachlan, S., Teoh, W. L., Williamson, R. M., Webb, D. J., Welsh, P., Sattar, N. , Strachan, M. W.J. and Price, J. F. (2017) Cardiovascular disease biomarkers are associated with declining renal function in type 2 diabetes. Diabetologia, 60(8), pp. 1400-1408. (doi:10.1007/s00125-017-4297-0) (PMID:28528401) (PMCID:PMC5491560)

van der Hooft, J. J.J., Wandy, J., Young, F., Padmanabhan, S. , Gerasimidis, K., Burgess, K. E.V., Barrett, M. P. and Rogers, S. (2017) Unsupervised discovery and comparison of structural families across multiple samples in untargeted metabolomics. Analytical Chemistry, 89(14), pp. 7569-7577. (doi:10.1021/acs.analchem.7b01391) (PMID:28621528) (PMCID:PMC5524435)

Ohkuma, T. et al. (2017) Cardiac stress and inflammatory markers as predictors of heart failure in patients with type 2 diabetes: the ADVANCE trial. Diabetes Care, 40(9), pp. 1203-1209. (doi:10.2337/dc17-0509) (PMID:28684396)

Padmanabhan, S. , Aman, A. and Dominiczak, A. F. (2017) Genomics of hypertension. Pharmacological Research, 121, pp. 219-229. (doi:10.1016/j.phrs.2017.04.031) (PMID:28495658)

Wong, N. A.C.S., Adamczyk, L. A., Evans, S., Cullen, J., Oniscu, A. and Oien, K. A. (2017) A33 shows similar sensitivity to but is more specific than CDX2 as an immunomarker of colorectal carcinoma. Histopathology, 71(1), pp. 34-41. (doi:10.1111/his.13194) (PMID:28226180)

Kurowska-Stolarska, M. et al. (2017) MicroRNA-34a dependent regulation of AXL controls the activation of dendritic cells in inflammatory arthritis. Nature Communications, 8, 15877. (doi:10.1038/ncomms15877) (PMID:28639625) (PMCID:5489689)

van den Berg, M. E. et al. (2017) Discovery of novel heart rate-associated loci using the Exome Chip. Human Molecular Genetics, 26(12), pp. 2346-2363. (doi:10.1093/hmg/ddx113) (PMID:28379579) (PMCID:PMC5458336)

McInnes, I. B. and Schett, G. (2017) Pathogenetic insights from the treatment of rheumatoid arthritis. Lancet, 389(10086), pp. 2328-2337. (doi:10.1016/S0140-6736(17)31472-1) (PMID:28612747)

McInnes, I. B. , Porter, D. and Siebert, S. (2017) Editorial: choosing new targets for rheumatoid arthritis therapeutics: too interesting to fail? Arthritis and Rheumatology, 69(6), pp. 1131-1134. (doi:10.1002/art.40082) (PMID:28245351)

Babic, A. et al. (2017) Predictors of pretreatment CA125 at ovarian cancer diagnosis: a pooled analysis in the Ovarian Cancer Association Consortium. Cancer Causes and Control, 28(5), pp. 459-468. (doi:10.1007/s10552-016-0841-3) (PMID:28050675)

Johns, A. L. et al. (2017) Lost in translation: returning germline genetic results in genome-scale cancer research. Genome Medicine, 9, 41. (doi:10.1186/s13073-017-0430-4) (PMID:28454591) (PMCID:PMC5408494)

Scott, P. J., Cornet, R., McCowan, C. , Peek, N., Fraccaro, P., Geifman, N., Gude, W. T., Hulme, W., Martin, G. P. and Williams, R. (2017) Informatics for Health 2017: Advancing both science and practice. Journal of Innovation in Health Informatics, 24(1), (doi:10.14236/jhi.v24i1.939) (PMID:28665785)

Dominiczak, A. , Delles, C. and Padmanabhan, S. (2017) Genomics and precision medicine for clinicians and scientists in hypertension. Hypertension, 69(4), e10-e13. (doi:10.1161/HYPERTENSIONAHA.116.08252) (PMID:28193712)

Dreyer, S. B., Chang, D. K., Bailey, P. and Biankin, A. V. (2017) Pancreatic cancer genomes: implications for clinical management and therapeutic development. Clinical Cancer Research, 23(7), pp. 1638-1646. (doi:10.1158/1078-0432.CCR-16-2411) (PMID:28373362)

Pishvaian, M. J., Biankin, A. V., Bailey, P., Chang, D. K., Laheru, D., Wolfgang, C. L. and Brody, J. R. (2017) BRCA2 secondary mutation-mediated resistance to platinum and PARP inhibitor-based therapy in pancreatic cancer. British Journal of Cancer, 116, pp. 1021-1026. (doi:10.1038/bjc.2017.40) (PMID:28291774)

Flynn, G. E., Withers, J. M., Macias, G., Sperling, J. R., Henry, S. L., Cooper, J. M. , Burley, G. A. and Clark, A. W. (2017) Reversible DNA micro-patterning using the fluorous effect. Chemical Communications, 53(21), pp. 3094-3097. (doi:10.1039/C7CC00288B) (PMID:28243661) (PMCID:PMC5358500)

Grieve, E. and Briggs, A. (2017) A Methodological Approach for Measuring the Impact of HTA. Technical Report. F1000Research.

Scarpa, A. et al. (2017) Whole-genome landscape of pancreatic neuroendocrine tumours. Nature, 543(7643), pp. 65-71. (doi:10.1038/nature21063) (PMID:28199314)

Maclay, J. D., Farley, J. M.B., McCowan, C. , Tweed, C. and Milroy, R. (2017) Obtaining tissue diagnosis in lung cancer patients with poor performance status and its influence on treatment and survival. Respiratory Medicine, 124, pp. 30-35. (doi:10.1016/j.rmed.2017.01.002) (PMID:28284318)

Biankin, A. V. (2017) The road to precision oncology. Nature Genetics, 49(3), pp. 320-321. (doi:10.1038/ng.3796) (PMID:28232728)

Firestein, G. S. and McInnes, I. B. (2017) Immunopathogenesis of rheumatoid arthritis. Immunity, 46(2), pp. 183-196. (doi:10.1016/j.immuni.2017.02.006) (PMID:28228278) (PMCID:PMC5385708)

Siebert, S. , Porter, D., Paterson, C., Hampson, R., Gaya, D., Latosinska, A., Mischak, H., Schanstra, J., Mullen, W. and McInnes, I. (2017) Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups. Scientific Reports, 7, 40473. (doi:10.1038/srep40473) (PMID:28091549) (PMCID:PMC5320079)

Al-Rawhani, M. A. et al. (2017) A colorimetric CMOS-based platform for rapid total serum cholesterol quantification. IEEE Sensors Journal, 17(2), pp. 240-247. (doi:10.1109/JSEN.2016.2629018)

Salvi, E. et al. (2017) Genome-wide and gene-based meta-analyses identify novel loci influencing blood pressure response to hydrochlorothiazide. Hypertension, 69(1), pp. 51-59. (doi:10.1161/HYPERTENSIONAHA.116.08267) (PMID:27802415) (PMCID:PMC5145728)

Liu, D. J. et al. (2017) Exome-wide association study of plasma lipids in >300,000 individuals. Nature Genetics, 49, pp. 1758-1766. (doi:10.1038/ng.3977) (PMID:29083408)

Cheah, B. C. , MacDonald, A. I., Barrett, M. P. and Cumming, D. R.S. (2017) Metabolomics on integrated circuit. Procedia Technology, 27, pp. 53-54. (doi:10.1016/j.protcy.2017.04.025)

Preiss, D. and Sattar, N. (2016) Research digest: cardiac biomarkers for risk prediction. Lancet Diabetes and Endocrinology, 4(11), p. 890. (doi:10.1016/S2213-8587(16)30293-5) (PMID:27743976)

Zhu, A. X. et al. (2016) Biomarker analyses of clinical outcomes in patients with advanced hepatocellular carcinoma treated with Sorafenib with or without Erlotinib in the SEARCH Trial. Clinical Cancer Research, 22(19), pp. 4870-4879. (doi:10.1158/1078-0432.CCR-15-2883) (PMID:27220960)

Ehret, G. B. et al. (2016) The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nature Genetics, 48(10), pp. 1171-1184. (doi:10.1038/ng.3667) (PMID:27618452) (PMCID:PMC5042863)

Kar, S. P. et al. (2016) Genome-wide meta-analyses of breast, ovarian, and prostate cancer association studies identify multiple new susceptibility loci shared by at least two cancer types. Cancer Discovery, 6(9), pp. 1052-1067. (doi:10.1158/2159-8290.CD-15-1227) (PMID:27432226) (PMCID:PMC5010513)

Hoogendoorn, M. et al. (2016) Patient heterogeneity in health economic decision models for chronic obstructive pulmonary disease: are current models suitable to evaluate personalized medicine? Value in Health, 19(6), pp. 800-810. (doi:10.1016/j.jval.2016.04.002) (PMID:27712708)

Van Der Hooft, J., Padmanabhan, S. , Burgess, K. and Barrett, M. (2016) Erratum to: Urinary antihypertensive drug metabolite screening using molecular networking coupled to high-resolution mass spectrometry fragmentation. Metabolomics, 12(8), 139. (doi:10.1007/s11306-016-1078-6)

Swanton, C. et al. (2016) Consensus on precision medicine for metastatic cancers: a report from the MAP conference. Annals of Oncology, 27(8), pp. 1443-1448. (doi:10.1093/annonc/mdw192) (PMID:27143638)

McNeish, I. A. (2016) Prognostic pathways in early-stage ovarian cancer: can gene expression transcend histological subtype? Annals of Oncology, 27(8), pp. 1366-1368. (doi:10.1093/annonc/mdw254) (PMID:27358384)

Van Der Hooft, J. J.J., Padmanabhan, S. , Burgess, K. E.V. and Barrett, M. P. (2016) Urinary antihypertensive drug metabolite screening using molecular networking coupled to high-resolution mass spectrometry fragmentation. Metabolomics, 12, 125. (doi:10.1007/s11306-016-1064-z) (PMID:27471437) (PMCID:PMC4932139)

Porter, D. et al. (2016) Tumour necrosis factor inhibition versus rituximab for patients with rheumatoid arthritis who require biological treatment (ORBIT): an open-label, randomised controlled, non-inferiority, trial. Lancet, 388(10041), pp. 239-247. (doi:10.1016/S0140-6736(16)00380-9) (PMID:27197690)

Poortvliet, R. K.E. et al. (2016) Risk stratification and treatment effect of statins in secondary cardiovascular prevention in old age: additive value of N-terminal pro-B-type natriuretic peptide. European Journal of Preventive Cardiology, 23(10), pp. 1104-1113. (doi:10.1177/2047487315617908) (PMID:26603744)

Sattar, N. and Preiss, D. (2016) Diabetic microvascular complications as simple indicators of risk for cardiovascular outcomes and heart failure. Lancet Diabetes and Endocrinology, 4(7), pp. 555-556. (doi:10.1016/s2213-8587(16)30097-3) (PMID:27216887)

Cheah, B. C. , MacDonald, A. I., Martin, C., Streklas, A. J., Campbell, G., Al-Rawhani, M. A., Nemeth, B., Grant, J. P. , Barrett, M. P. and Cumming, D. R.S. (2016) An integrated circuit for chip-based analysis of enzyme kinetics and metabolite quantification. IEEE Transactions on Biomedical Circuits and Systems, 10(3), pp. 721-730. (doi:10.1109/TBCAS.2015.2487603) (PMID:26742138)

Kleeff, J. et al. (2016) Pancreatic cancer. Nature Reviews Disease Primers, 2, 16022. (doi:10.1038/nrdp.2016.22) (PMID:27158978)

Neisius, U. et al. (2016) Urine proteomics in the diagnosis of stable angina. BMC Cardiovascular Disorders, 16, 70. (doi:10.1186/s12872-016-0246-y) (PMID:27095611) (PMCID:PMC483761)

Stitziel, N. O. et al. (2016) Coding variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease. New England Journal of Medicine, 374(12), pp. 1134-1144. (doi:10.1056/NEJMoa1507652) (PMID:26934567) (PMCID:PMC4850838)

Bailey, P. et al. (2016) Genomic analyses identify molecular subtypes of pancreatic cancer. Nature, 531(7592), pp. 47-52. (doi:10.1038/nature16965) (PMID:26909576)

Rahbari, R. et al. (2016) Timing, rates and spectra of human germline mutation. Nature Genetics, 48(2), pp. 126-133. (doi:10.1038/ng.3469) (PMID:26656846) (PMCID:PMC4731925)

Meeks, H. D. et al. (2016) BRCA2 polymorphic stop codon K3326X and the risk of breast, prostate, and ovarian cancers. Journal of the National Cancer Institute, 108(2), djv315. (doi:10.1093/jnci/djv315) (PMID:26586665) (PMCID:PMC4907358)

Henry, S. L., Withers, J. M., Singh, I., Cooper, J. M. , Clark, A. W., Burley, G. A. and Cogdell, R. J. (2016) DNA-directed spatial assembly of photosynthetic light-harvesting proteins. Organic and Biomolecular Chemistry, 14(4), pp. 1359-1362. (doi:10.1039/c5ob02351c) (PMID:26660647)

Johnatty, S. E. et al. (2015) Genome-wide analysis identifies novel loci associated with ovarian cancer outcomes: findings from the Ovarian Cancer Association Consortium. Clinical Cancer Research, 21(23), pp. 5264-5276. (doi:10.1158/1078-0432.CCR-15-0632) (PMID:26152742) (PMCID:PMC4624261)

This list was generated on Mon Mar 19 10:43:09 2018 GMT.