Dr Robin Young

  • Bio Statistician (Robertson Centre for Biostatistics)

Grants

Grants and Awards listed are those received whilst working with the University of Glasgow.

  • Leveraging the 25 year follow-up of the WOSCOPS trial
    Chief Scientist Office
    2018 - 2018
     
  • The clinical consequences of inherited chromosomally-integrated human herpesvirus 6 (iciHHV-6): should we be testing for iciHHV-6?
    Chief Scientist Office
    2017 - 2017
     

Publications

List by: Type | Date

Jump to: 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
Number of items: 33.

2019

Erzurumluoglu, A. M. et al. (2019) Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry, (doi:10.1038/s41380-018-0313-0) (PMID:30617275) (Early Online Publication)

2018

Sorbets, E. et al. (2018) β-blockers, calcium antagonists, and mortality in stable coronary artery disease: an international cohort study. European Heart Journal, (doi:10.1093/eurheartj/ehy811) (PMID:30590529) (Early Online Publication)

Paterson, C. et al. (2018) Radiotherapy induced xerostomia: a randomised, double-blind, controlled trial of Visco-ease oral spray versus placebo in head and neck cancer patients. British Journal of Oral and Maxillofacial Surgery, (Accepted for Publication)

Corcoran, D. et al. (2018) Coronary microvascular dysfunction in patients with stable coronary artery disease: the CE-MARC 2 coronary physiology sub-study. International Journal of Cardiology, 266, pp. 7-14. (doi:10.1016/j.ijcard.2018.04.061) (PMID:29716756) (PMCID:PMC6008494)

Burgess, S. et al. (2018) Association of LPA variants with risk of coronary disease and the implications for lipoprotein(a)-lowering therapies. JAMA Cardiology, 3(7), pp. 619-627. (doi:10.1001/jamacardio.2018.1470) (PMID:29926099)

Mahajan, A. et al. (2018) Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nature Genetics, 50(4), pp. 559-571. (doi:10.1038/s41588-018-0084-1) (PMID:29632382)

Corcoran, D. et al. (2018) The effects of remote ischaemic preconditioning on coronary artery function in patients with stable coronary artery disease. International Journal of Cardiology, 252, pp. 24-30. (doi:10.1016/j.ijcard.2017.10.082) (PMID:29249435) (PMCID:PMC5761717)

Turcot, V. et al. (2018) Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nature Genetics, 50(1), pp. 26-41. (doi:10.1038/s41588-017-0011-x) (PMID:29273807)

2017

Lang, I. M., Badr-Eslam, R., Greenlaw, N., Young, R. and Steg, P. G. (2017) Management and clinical outcome of stable coronary artery disease in Austria: results from 5 years of the CLARIFY registry. Wiener Klinische Wochenschrift, 129(23-24), pp. 879-892. (doi:10.1007/s00508-017-1248-1) (PMID:28913755) (PMCID:PMC5860132)

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)

Packard, C. J. , Young, R., Ross, K., Ford, I. , Ambegaonkar, B. M., Brudi, P. and McCowan, C. (2017) Modelling total coronary heart disease burden and long-term benefit of cholesterol lowering in middle aged men with and without a history of cardiovascular disease. European Heart Journal: Quality of Care and Clinical Outcomes, 3(4), pp. 281-288. (doi:10.1093/ehjqcco/qcx012) (PMID:29044395)

Zhao, W. et al. (2017) Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease. Nature Genetics, 49(10), pp. 1450-1457. (doi:10.1038/ng.3943) (PMID:28869590)

Howson, J. M.M. et al. (2017) Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms. Nature Genetics, 49(7), pp. 1113-1119. (doi:10.1038/ng.3874) (PMID:28530674)

Saleheen, D. et al. (2017) Loss of cardio-protective effects at the ADAMTS7 locus due to gene-smoking interactions. Circulation, 135(24), pp. 2336-2353. (doi:10.1161/CIRCULATIONAHA.116.022069) (PMID:28461624)

Natarajan, P. et al. (2017) Polygenic risk score identifies subgroup with higher burden of atherosclerosis and greater relative benefit from statin therapy in the primary prevention setting. Circulation, 135(22), pp. 2091-2101. (doi:10.1161/CIRCULATIONAHA.116.024436) (PMID:28223407)

Gumley, A. et al. (2017) A parallel group randomised open blinded evaluation of Acceptance and Commitment Therapy for depression after psychosis: pilot trial outcomes (ADAPT). Schizophrenia Research, 183, pp. 143-150. (doi:10.1016/j.schres.2016.11.026) (PMID:27894822)

Böhm, M. et al. (2017) Systolic blood pressure, cardiovascular outcomes and efficacy and safety of sacubitril/valsartan (LCZ696) in patients with chronic heart failure and reduced ejection fraction: results from PARADIGM-HF. European Heart Journal, 38(15), pp. 1132-1143. (doi:10.1093/eurheartj/ehw570) (PMID:28158398)

Webb, T. R. et al. (2017) Systematic evaluation of pleiotropy identifies 6 further loci associated with coronary artery disease. Journal of the American College of Cardiology, 69(7), pp. 823-836. (doi:10.1016/j.jacc.2016.11.056) (PMID:28209224) (PMCID:PMC5314135)

Marouli, E. et al. (2017) Rare and low-frequency coding variants alter human adult height. Nature, 542(7640), pp. 186-190. (doi:10.1038/nature21039) (PMID:28146470)

Schmidt, A. F. et al. (2017) PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study. Lancet Diabetes and Endocrinology, 5(2), pp. 97-105. (doi:10.1016/S2213-8587(16)30396-5) (PMID:27908689) (PMCID:PMC5266795)

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)

2016

Staley, J. R. et al. (2016) PhenoScanner: a database of human genotype-phenotype associations. Bioinformatics, 32(20), pp. 3207-3209. (doi:10.1093/bioinformatics/btw373) (PMID:27318201) (PMCID:PMC5048068)

Surendran, P. et al. (2016) Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nature Genetics, 48(10), pp. 1151-1161. (doi:10.1038/ng.3654) (PMID:27618447) (PMCID:PMC5056636)

Scott, R. A. et al. (2016) A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Science Translational Medicine, 8(341), 341ra76. (doi:10.1126/scitranslmed.aad3744) (PMID:27252175)

Stitziel, N. O. et al. (2016) Correction: Coding variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease. New England Journal of Medicine, 374(19), p. 1898. (doi:10.1056/NEJMxx160012) (PMID:27123876)

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)

Horikoshi, M. et al. (2016) Transancestral fine-mapping of four type 2 diabetes susceptibility loci highlights potential causal regulatory mechanisms. Human Molecular Genetics, 25(10), pp. 2070-2081. (doi:10.1093/hmg/ddw048) (PMID:26911676) (PMCID:PMC5062576)

2015

Kato, N. et al. (2015) Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nature Genetics, 47(11), pp. 1282-1293. (doi:10.1038/ng.3405) (PMID:26390057)

Chowdhury, R. et al. (2015) The Bangladesh risk of acute vascular events (BRAVE) study: objectives and design. European Journal of Epidemiology, 30(7), pp. 577-587. (doi:10.1007/s10654-015-0037-2) (PMID:25930055) (PMCID:PMC4516898)

Freitag, D. F. et al. (2015) Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: a Mendelian randomisation analysis. Lancet Diabetes and Endocrinology, 3(4), pp. 243-253. (doi:10.1016/S2213-8587(15)00034-0) (PMID:25726324) (PMCID:PMC4648058)

2014

Mahajan, A. et al. (2014) Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nature Genetics, 46(3), pp. 234-244. (doi:10.1038/ng.2897) (PMID:24509480) (PMCID:PMC3969612)

2013

Saxena, R. et al. (2013) Genome-wide association study identifies a novel locus contributing to type 2 diabetes susceptibility in Sikhs of Punjabi origin from India. Diabetes, 62(5), pp. 1746-1755. (doi:10.2337/db12-1077) (PMID:23300278) (PMCID:PMC3636649)

2012

Zbuk, K. et al. (2012) BRCA2 variants and cardiovascular disease in a multi-ethnic study. BMC Medical Genetics, 13, 56. (doi:10.1186/1471-2350-13-56) (PMID:22809218) (PMCID:PMC3464815)

This list was generated on Thu Jul 18 17:42:14 2019 BST.
Jump to: Articles
Number of items: 33.

Articles

Erzurumluoglu, A. M. et al. (2019) Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry, (doi:10.1038/s41380-018-0313-0) (PMID:30617275) (Early Online Publication)

Sorbets, E. et al. (2018) β-blockers, calcium antagonists, and mortality in stable coronary artery disease: an international cohort study. European Heart Journal, (doi:10.1093/eurheartj/ehy811) (PMID:30590529) (Early Online Publication)

Paterson, C. et al. (2018) Radiotherapy induced xerostomia: a randomised, double-blind, controlled trial of Visco-ease oral spray versus placebo in head and neck cancer patients. British Journal of Oral and Maxillofacial Surgery, (Accepted for Publication)

Corcoran, D. et al. (2018) Coronary microvascular dysfunction in patients with stable coronary artery disease: the CE-MARC 2 coronary physiology sub-study. International Journal of Cardiology, 266, pp. 7-14. (doi:10.1016/j.ijcard.2018.04.061) (PMID:29716756) (PMCID:PMC6008494)

Burgess, S. et al. (2018) Association of LPA variants with risk of coronary disease and the implications for lipoprotein(a)-lowering therapies. JAMA Cardiology, 3(7), pp. 619-627. (doi:10.1001/jamacardio.2018.1470) (PMID:29926099)

Mahajan, A. et al. (2018) Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nature Genetics, 50(4), pp. 559-571. (doi:10.1038/s41588-018-0084-1) (PMID:29632382)

Corcoran, D. et al. (2018) The effects of remote ischaemic preconditioning on coronary artery function in patients with stable coronary artery disease. International Journal of Cardiology, 252, pp. 24-30. (doi:10.1016/j.ijcard.2017.10.082) (PMID:29249435) (PMCID:PMC5761717)

Turcot, V. et al. (2018) Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nature Genetics, 50(1), pp. 26-41. (doi:10.1038/s41588-017-0011-x) (PMID:29273807)

Lang, I. M., Badr-Eslam, R., Greenlaw, N., Young, R. and Steg, P. G. (2017) Management and clinical outcome of stable coronary artery disease in Austria: results from 5 years of the CLARIFY registry. Wiener Klinische Wochenschrift, 129(23-24), pp. 879-892. (doi:10.1007/s00508-017-1248-1) (PMID:28913755) (PMCID:PMC5860132)

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)

Packard, C. J. , Young, R., Ross, K., Ford, I. , Ambegaonkar, B. M., Brudi, P. and McCowan, C. (2017) Modelling total coronary heart disease burden and long-term benefit of cholesterol lowering in middle aged men with and without a history of cardiovascular disease. European Heart Journal: Quality of Care and Clinical Outcomes, 3(4), pp. 281-288. (doi:10.1093/ehjqcco/qcx012) (PMID:29044395)

Zhao, W. et al. (2017) Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease. Nature Genetics, 49(10), pp. 1450-1457. (doi:10.1038/ng.3943) (PMID:28869590)

Howson, J. M.M. et al. (2017) Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms. Nature Genetics, 49(7), pp. 1113-1119. (doi:10.1038/ng.3874) (PMID:28530674)

Saleheen, D. et al. (2017) Loss of cardio-protective effects at the ADAMTS7 locus due to gene-smoking interactions. Circulation, 135(24), pp. 2336-2353. (doi:10.1161/CIRCULATIONAHA.116.022069) (PMID:28461624)

Natarajan, P. et al. (2017) Polygenic risk score identifies subgroup with higher burden of atherosclerosis and greater relative benefit from statin therapy in the primary prevention setting. Circulation, 135(22), pp. 2091-2101. (doi:10.1161/CIRCULATIONAHA.116.024436) (PMID:28223407)

Gumley, A. et al. (2017) A parallel group randomised open blinded evaluation of Acceptance and Commitment Therapy for depression after psychosis: pilot trial outcomes (ADAPT). Schizophrenia Research, 183, pp. 143-150. (doi:10.1016/j.schres.2016.11.026) (PMID:27894822)

Böhm, M. et al. (2017) Systolic blood pressure, cardiovascular outcomes and efficacy and safety of sacubitril/valsartan (LCZ696) in patients with chronic heart failure and reduced ejection fraction: results from PARADIGM-HF. European Heart Journal, 38(15), pp. 1132-1143. (doi:10.1093/eurheartj/ehw570) (PMID:28158398)

Webb, T. R. et al. (2017) Systematic evaluation of pleiotropy identifies 6 further loci associated with coronary artery disease. Journal of the American College of Cardiology, 69(7), pp. 823-836. (doi:10.1016/j.jacc.2016.11.056) (PMID:28209224) (PMCID:PMC5314135)

Marouli, E. et al. (2017) Rare and low-frequency coding variants alter human adult height. Nature, 542(7640), pp. 186-190. (doi:10.1038/nature21039) (PMID:28146470)

Schmidt, A. F. et al. (2017) PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study. Lancet Diabetes and Endocrinology, 5(2), pp. 97-105. (doi:10.1016/S2213-8587(16)30396-5) (PMID:27908689) (PMCID:PMC5266795)

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)

Staley, J. R. et al. (2016) PhenoScanner: a database of human genotype-phenotype associations. Bioinformatics, 32(20), pp. 3207-3209. (doi:10.1093/bioinformatics/btw373) (PMID:27318201) (PMCID:PMC5048068)

Surendran, P. et al. (2016) Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nature Genetics, 48(10), pp. 1151-1161. (doi:10.1038/ng.3654) (PMID:27618447) (PMCID:PMC5056636)

Scott, R. A. et al. (2016) A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Science Translational Medicine, 8(341), 341ra76. (doi:10.1126/scitranslmed.aad3744) (PMID:27252175)

Stitziel, N. O. et al. (2016) Correction: Coding variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease. New England Journal of Medicine, 374(19), p. 1898. (doi:10.1056/NEJMxx160012) (PMID:27123876)

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)

Horikoshi, M. et al. (2016) Transancestral fine-mapping of four type 2 diabetes susceptibility loci highlights potential causal regulatory mechanisms. Human Molecular Genetics, 25(10), pp. 2070-2081. (doi:10.1093/hmg/ddw048) (PMID:26911676) (PMCID:PMC5062576)

Kato, N. et al. (2015) Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nature Genetics, 47(11), pp. 1282-1293. (doi:10.1038/ng.3405) (PMID:26390057)

Chowdhury, R. et al. (2015) The Bangladesh risk of acute vascular events (BRAVE) study: objectives and design. European Journal of Epidemiology, 30(7), pp. 577-587. (doi:10.1007/s10654-015-0037-2) (PMID:25930055) (PMCID:PMC4516898)

Freitag, D. F. et al. (2015) Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: a Mendelian randomisation analysis. Lancet Diabetes and Endocrinology, 3(4), pp. 243-253. (doi:10.1016/S2213-8587(15)00034-0) (PMID:25726324) (PMCID:PMC4648058)

Mahajan, A. et al. (2014) Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nature Genetics, 46(3), pp. 234-244. (doi:10.1038/ng.2897) (PMID:24509480) (PMCID:PMC3969612)

Saxena, R. et al. (2013) Genome-wide association study identifies a novel locus contributing to type 2 diabetes susceptibility in Sikhs of Punjabi origin from India. Diabetes, 62(5), pp. 1746-1755. (doi:10.2337/db12-1077) (PMID:23300278) (PMCID:PMC3636649)

Zbuk, K. et al. (2012) BRCA2 variants and cardiovascular disease in a multi-ethnic study. BMC Medical Genetics, 13, 56. (doi:10.1186/1471-2350-13-56) (PMID:22809218) (PMCID:PMC3464815)

This list was generated on Thu Jul 18 17:42:14 2019 BST.