Dr Robin Young

  • Independent Biostatistician (Robertson Centre for Biostatistics)

email: Robin.Young@glasgow.ac.uk

Robertson Centre for Biostatistics, Boyd Orr Building, Glasgow, G12 8QQ

ORCID iDhttps://orcid.org/0000-0002-3821-7307

Publications

List by: Type | Date

Jump to: 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
Number of items: 40.

2021

Mak, K.-H. et al. (2021) Prevalence of diabetes and impact on cardiovascular events and mortality in patients with chronic coronary syndromes, across multiple geographical regions and ethnicities. European Journal of Preventive Cardiology, (doi: 10.1093/eurjpc/zwab011) (Early Online Publication)

2020

Surendran, P. et al. (2020) Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals. Nature Genetics, 52(12), pp. 1314-1332. (doi: 10.1038/s41588-020-00713-x) (PMID:33230300) (PMCID:PMC7610439)

Erzurumluoglu, A. M. et al. (2020) Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry, 25(10), pp. 2392-2409. (doi: 10.1038/s41380-018-0313-0) (PMID:30617275) (PMCID:PMC7515840)

2019

Paterson, C. et al. (2019) Radiotherapy-induced xerostomia: a randomised, double-blind, controlled trial of Visco-ease™ oral spray compared with placebo in patients with cancer of the head and neck. British Journal of Oral and Maxillofacial Surgery, 57(10), pp. 1119-1125. (doi: 10.1016/j.bjoms.2019.10.300) (PMID:31672256)

Kamat, M. A., Blackshaw, J. A., Young, R. , Surendran, P., Burgess, S., Danesh, J., Butterworth, A. S. and Staley, J. R. (2019) PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations. Bioinformatics, 35(22), pp. 4851-4853. (doi: 10.1093/bioinformatics/btz469) (PMID:31233103) (PMCID:PMC6853652)

Schmidt, A. F. et al. (2019) Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9. BMC Cardiovascular Disorders, 19, 240. (doi: 10.1186/s12872-019-1187-z) (PMID:31664920) (PMCID:PMC6820948)

Sorbets, E. et al. (2019) β-blockers, calcium antagonists, and mortality in stable coronary artery disease: an international cohort study. European Heart Journal, 40, pp. 1399-1407. (doi: 10.1093/eurheartj/ehy811) (PMID:30590529) (PMCID:PMC6503455)

Parma, Z., Young, R. , Roleder, T., Marona, M., Ford, I. , Tendera, M., Steg, P. G. and Stępińska, J. (2019) Management strategies and 5-year outcomes in Polish patients with stable coronary artery disease versus other European countries: data from the CLARIFY registry. Polish Archives of Internal Medicine, 129(5), pp. 327-334. (doi: 10.20452/pamw.14789) (PMID:30951032)

Davie-Smith, F., Paul, L., Stuart, W., Kennon, B., Young, R. and Wyke, S. (2019) The influence of socio-economic deprivation on mobility, participation, and quality of life following major lower extremity amputation in the West of Scotland. European Journal of Vascular and Endovascular Surgery, 57(4), pp. 554-560. (doi: 10.1016/j.ejvs.2018.10.011) (PMID:30905506)

Justice, A. E. et al. (2019) Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nature Genetics, 51(3), pp. 452-469. (doi: 10.1038/s41588-018-0334-2) (PMID:30778226)

2018

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) (PMCID:PMC5945951)

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) (PMCID:PMC5484076)

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) (PMCID:PMC5302847)

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) (PMCID:PMC4719169)

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 Fri Oct 15 07:52:03 2021 BST.
Jump to: Articles
Number of items: 40.

Articles

Mak, K.-H. et al. (2021) Prevalence of diabetes and impact on cardiovascular events and mortality in patients with chronic coronary syndromes, across multiple geographical regions and ethnicities. European Journal of Preventive Cardiology, (doi: 10.1093/eurjpc/zwab011) (Early Online Publication)

Surendran, P. et al. (2020) Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals. Nature Genetics, 52(12), pp. 1314-1332. (doi: 10.1038/s41588-020-00713-x) (PMID:33230300) (PMCID:PMC7610439)

Erzurumluoglu, A. M. et al. (2020) Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry, 25(10), pp. 2392-2409. (doi: 10.1038/s41380-018-0313-0) (PMID:30617275) (PMCID:PMC7515840)

Paterson, C. et al. (2019) Radiotherapy-induced xerostomia: a randomised, double-blind, controlled trial of Visco-ease™ oral spray compared with placebo in patients with cancer of the head and neck. British Journal of Oral and Maxillofacial Surgery, 57(10), pp. 1119-1125. (doi: 10.1016/j.bjoms.2019.10.300) (PMID:31672256)

Kamat, M. A., Blackshaw, J. A., Young, R. , Surendran, P., Burgess, S., Danesh, J., Butterworth, A. S. and Staley, J. R. (2019) PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations. Bioinformatics, 35(22), pp. 4851-4853. (doi: 10.1093/bioinformatics/btz469) (PMID:31233103) (PMCID:PMC6853652)

Schmidt, A. F. et al. (2019) Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9. BMC Cardiovascular Disorders, 19, 240. (doi: 10.1186/s12872-019-1187-z) (PMID:31664920) (PMCID:PMC6820948)

Sorbets, E. et al. (2019) β-blockers, calcium antagonists, and mortality in stable coronary artery disease: an international cohort study. European Heart Journal, 40, pp. 1399-1407. (doi: 10.1093/eurheartj/ehy811) (PMID:30590529) (PMCID:PMC6503455)

Parma, Z., Young, R. , Roleder, T., Marona, M., Ford, I. , Tendera, M., Steg, P. G. and Stępińska, J. (2019) Management strategies and 5-year outcomes in Polish patients with stable coronary artery disease versus other European countries: data from the CLARIFY registry. Polish Archives of Internal Medicine, 129(5), pp. 327-334. (doi: 10.20452/pamw.14789) (PMID:30951032)

Davie-Smith, F., Paul, L., Stuart, W., Kennon, B., Young, R. and Wyke, S. (2019) The influence of socio-economic deprivation on mobility, participation, and quality of life following major lower extremity amputation in the West of Scotland. European Journal of Vascular and Endovascular Surgery, 57(4), pp. 554-560. (doi: 10.1016/j.ejvs.2018.10.011) (PMID:30905506)

Justice, A. E. et al. (2019) Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nature Genetics, 51(3), pp. 452-469. (doi: 10.1038/s41588-018-0334-2) (PMID:30778226)

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) (PMCID:PMC5945951)

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) (PMCID:PMC5484076)

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) (PMCID:PMC5302847)

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) (PMCID:PMC4719169)

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 Fri Oct 15 07:52:03 2021 BST.