Mr Joey Ward

  • Research Assistant (Mental Health & Wellbeing)

telephone: 0141 211 3918
email: Joey.Ward@glasgow.ac.uk

Grants

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

  • Polygenic risk for neuroticism and response to antidepressants in major depressive disorder New Title: Towards precision medicine for depressive disorders:
    Royal College of Physicians of Edinburgh
    2017 - 2019
     

Publications

List by: Type | Date

Jump to: 2019 | 2018 | 2017 | 2016
Number of items: 27.

2019

Lyall, D. M. et al. (2019) Association between APOE e4 and white matter hyperintensity volume, but not total brain volume or white matter integrity. Brain Imaging and Behavior, (Accepted for Publication)

Howard, D. M. et al. (2019) Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nature Neuroscience, (doi:10.1038/s41593-018-0326-7) (Early Online Publication)

Lyall, D. M. et al. (2019) Assessing for interaction between APOE e4, sex and lifestyle on cognitive abilities. Neurology, (Accepted for Publication)

Strawbridge, R. J. et al. (2019) Identification of novel genome-wide associations for suicidality in UK Biobank, genetic correlation with psychiatric disorders and polygenic association with completed suicide. EBioMedicine, (doi:10.1016/j.ebiom.2019.02.005) (PMID:30745170) (Early Online Publication)

2018

Celis-Morales, C. A. et al. (2018) The combination of physical activity and sedentary behaviours modifies the genetic predisposition to obesity. Obesity, (Accepted for Publication)

Wyse, C. A. et al. (2018) Population-level seasonality in cardiovascular mortality, blood pressure, BMI and inflammatory cells in UK Biobank. Annals of Medicine, 50(5), pp. 410-419. (doi:10.1080/07853890.2018.1472389) (PMID:29724143)

Ward, J. et al. (2018) Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: meta-analysis of three treatment cohorts. PLoS ONE, 13(9), e0203896. (doi:10.1371/journal.pone.0203896) (PMID:30240446) (PMCID:PMC6150505)

Strawbridge, R. et al. (2018) Genetics of self-reported risk-taking behaviour, trans-ethnic consistency and relevance to brain gene expression. Translational Psychiatry, 8, 178. (doi:10.1038/s41398-018-0236-1) (PMID:30181555)

Boakye, D., Wyse, C.A., Morales-Celis, C.A. , Biello, S.M., Bailey, M.E.S. , Dare, S., Ward, J., Gill, J.M.R. , Pell, J.P. and Mackay, D.F. (2018) Tobacco exposure and sleep disturbance in 498 208 UK Biobank participants. Journal of Public Health, 40(3), pp. 517-526. (doi:10.1093/pubmed/fdx102) (PMID:29040744)

Ferguson, A. et al. (2018) Genome-wide association study of circadian rhythmicity in 71,500 UK Biobank participants and polygenic association with mood instability. EBioMedicine, 35, pp. 279-287. (doi:10.1016/j.ebiom.2018.08.004) (PMID:30120083) (PMCID:PMC6154782)

Howard, D. M. et al. (2018) Addendum: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways. Nature Communications, 9, 3578. (doi:10.1038/s41467-018-05310-5) (PMID:30166530) (PMCID:PMC6117285)

Lyall, L. M. et al. (2018) Association of disrupted circadian rhythmicity with mood disorders, subjective wellbeing, and cognitive function: a cross-sectional study of 91 105 participants from the UK Biobank. Lancet Psychiatry, 5(6), pp. 507-514. (doi:10.1016/S2215-0366(18)30139-1) (PMID:29776774)

Davis, K. A.S. et al. (2018) Mental health in UK Biobank: development, implementation and results from an online questionnaire completed by 157 366 participants. BJPsych Open, 4(3), pp. 83-90. (doi:10.1192/bjo.2018.12)

Vaucher, J. et al. (2018) Cannabis use and risk of schizophrenia: a Mendelian randomization study. Molecular Psychiatry, 23(5), pp. 1287-1292. (doi:10.1038/mp.2016.252) (PMID:28115737) (PMCID:PMC5984096)

Howard, D. M. et al. (2018) Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways. Nature Communications, 9, 1470. (doi:10.1038/s41467-018-03819-3)

Lyall, L. M. et al. (2018) Seasonality of depressive symptoms in women but not in men: a cross-sectional study in the UK Biobank cohort. Journal of Affective Disorders, 229, pp. 296-305. (doi:10.1016/j.jad.2017.12.106) (PMID:29329063)

Escott-Price, V., Smith, D. J. , Kendall, K., Ward, J., Kirov, G., Owen, M. J., Walters, J. and O'Donovan, M. C. (2018) Polygenic risk for schizophrenia and season of birth within the UK Biobank cohort. Psychological Medicine, (doi:10.1017/S0033291718000454) (PMID:29501066) (Early Online Publication)

Strawbridge, R. J. et al. (2018) Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort. Translational Psychiatry, 8, 39. (doi:10.1038/s41398-017-0079-1) (PMID:29391395) (PMCID:PMC5804026)

2017

Ward, J. et al. (2017) Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia. Translational Psychiatry, 7, 1264. (doi:10.1038/s41398-017-0012-7) (PMID:29187730) (PMCID:PMC5802589)

Lyall, D. M. et al. (2017) Association of body mass index with cardiometabolic disease in the UK Biobank: a Mendelian randomization study. JAMA Cardiology, 2(8), pp. 882-889. (doi:10.1001/jamacardio.2016.5804) (PMID:28678979) (PMCID:PMC5710596)

Celis-Morales, C. et al. (2017) Sleep characteristics modify the association between genetic predisposition to obesity and anthropometric measurements in 119,679 UK Biobank participants. American Journal of Clinical Nutrition, 105(4), pp. 980-990. (doi:10.3945/ajcn.116.147231)

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)

Wyse, C. A. et al. (2017) Adverse metabolic and mental health outcomes associated with shiftwork in a population-based study of 277,168 workers in UK biobank. Annals of Medicine, 49(5), pp. 411-420. (doi:10.1080/07853890.2017.1292045) (PMID:28166415)

2016

Cullen, B. , Ward, J., Graham, N. A., Deary, I. J., Pell, J. P. , Smith, D. J. and Evans, J. J. (2016) Prevalence and correlates of cognitive impairment in euthymic adults with bipolar disorder: a systematic review. Journal of Affective Disorders, 205, pp. 165-181. (doi:10.1016/j.jad.2016.06.063) (PMID:27449549)

Lyall, D. M. et al. (2016) Body-mass index and cardiometabolic disease: a Mendelian randomisation study of UK Biobank Participants. Lancet, 388(S2), S9-S9. (doi:10.1016/S0140-6736(16)32245-0)

Lyall, D. M. et al. (2016) Alzheimer disease genetic risk factor APOE e4, and cognitive abilities in 111,739 UK Biobank participants. Age and Ageing, 45(4), pp. 511-517. (doi:10.1093/ageing/afw068) (PMID:27103599)

Smith, D.J. et al. (2016) Genome-wide analysis of over 106 000 individuals identifies 9 neuroticism-associated loci. Molecular Psychiatry, 21(6), pp. 749-757. (doi:10.1038/mp.2016.49) (PMID:27067015)

This list was generated on Fri Apr 19 02:26:22 2019 BST.
Jump to: Articles
Number of items: 27.

Articles

Lyall, D. M. et al. (2019) Association between APOE e4 and white matter hyperintensity volume, but not total brain volume or white matter integrity. Brain Imaging and Behavior, (Accepted for Publication)

Howard, D. M. et al. (2019) Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nature Neuroscience, (doi:10.1038/s41593-018-0326-7) (Early Online Publication)

Lyall, D. M. et al. (2019) Assessing for interaction between APOE e4, sex and lifestyle on cognitive abilities. Neurology, (Accepted for Publication)

Strawbridge, R. J. et al. (2019) Identification of novel genome-wide associations for suicidality in UK Biobank, genetic correlation with psychiatric disorders and polygenic association with completed suicide. EBioMedicine, (doi:10.1016/j.ebiom.2019.02.005) (PMID:30745170) (Early Online Publication)

Celis-Morales, C. A. et al. (2018) The combination of physical activity and sedentary behaviours modifies the genetic predisposition to obesity. Obesity, (Accepted for Publication)

Wyse, C. A. et al. (2018) Population-level seasonality in cardiovascular mortality, blood pressure, BMI and inflammatory cells in UK Biobank. Annals of Medicine, 50(5), pp. 410-419. (doi:10.1080/07853890.2018.1472389) (PMID:29724143)

Ward, J. et al. (2018) Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: meta-analysis of three treatment cohorts. PLoS ONE, 13(9), e0203896. (doi:10.1371/journal.pone.0203896) (PMID:30240446) (PMCID:PMC6150505)

Strawbridge, R. et al. (2018) Genetics of self-reported risk-taking behaviour, trans-ethnic consistency and relevance to brain gene expression. Translational Psychiatry, 8, 178. (doi:10.1038/s41398-018-0236-1) (PMID:30181555)

Boakye, D., Wyse, C.A., Morales-Celis, C.A. , Biello, S.M., Bailey, M.E.S. , Dare, S., Ward, J., Gill, J.M.R. , Pell, J.P. and Mackay, D.F. (2018) Tobacco exposure and sleep disturbance in 498 208 UK Biobank participants. Journal of Public Health, 40(3), pp. 517-526. (doi:10.1093/pubmed/fdx102) (PMID:29040744)

Ferguson, A. et al. (2018) Genome-wide association study of circadian rhythmicity in 71,500 UK Biobank participants and polygenic association with mood instability. EBioMedicine, 35, pp. 279-287. (doi:10.1016/j.ebiom.2018.08.004) (PMID:30120083) (PMCID:PMC6154782)

Howard, D. M. et al. (2018) Addendum: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways. Nature Communications, 9, 3578. (doi:10.1038/s41467-018-05310-5) (PMID:30166530) (PMCID:PMC6117285)

Lyall, L. M. et al. (2018) Association of disrupted circadian rhythmicity with mood disorders, subjective wellbeing, and cognitive function: a cross-sectional study of 91 105 participants from the UK Biobank. Lancet Psychiatry, 5(6), pp. 507-514. (doi:10.1016/S2215-0366(18)30139-1) (PMID:29776774)

Davis, K. A.S. et al. (2018) Mental health in UK Biobank: development, implementation and results from an online questionnaire completed by 157 366 participants. BJPsych Open, 4(3), pp. 83-90. (doi:10.1192/bjo.2018.12)

Vaucher, J. et al. (2018) Cannabis use and risk of schizophrenia: a Mendelian randomization study. Molecular Psychiatry, 23(5), pp. 1287-1292. (doi:10.1038/mp.2016.252) (PMID:28115737) (PMCID:PMC5984096)

Howard, D. M. et al. (2018) Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways. Nature Communications, 9, 1470. (doi:10.1038/s41467-018-03819-3)

Lyall, L. M. et al. (2018) Seasonality of depressive symptoms in women but not in men: a cross-sectional study in the UK Biobank cohort. Journal of Affective Disorders, 229, pp. 296-305. (doi:10.1016/j.jad.2017.12.106) (PMID:29329063)

Escott-Price, V., Smith, D. J. , Kendall, K., Ward, J., Kirov, G., Owen, M. J., Walters, J. and O'Donovan, M. C. (2018) Polygenic risk for schizophrenia and season of birth within the UK Biobank cohort. Psychological Medicine, (doi:10.1017/S0033291718000454) (PMID:29501066) (Early Online Publication)

Strawbridge, R. J. et al. (2018) Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort. Translational Psychiatry, 8, 39. (doi:10.1038/s41398-017-0079-1) (PMID:29391395) (PMCID:PMC5804026)

Ward, J. et al. (2017) Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia. Translational Psychiatry, 7, 1264. (doi:10.1038/s41398-017-0012-7) (PMID:29187730) (PMCID:PMC5802589)

Lyall, D. M. et al. (2017) Association of body mass index with cardiometabolic disease in the UK Biobank: a Mendelian randomization study. JAMA Cardiology, 2(8), pp. 882-889. (doi:10.1001/jamacardio.2016.5804) (PMID:28678979) (PMCID:PMC5710596)

Celis-Morales, C. et al. (2017) Sleep characteristics modify the association between genetic predisposition to obesity and anthropometric measurements in 119,679 UK Biobank participants. American Journal of Clinical Nutrition, 105(4), pp. 980-990. (doi:10.3945/ajcn.116.147231)

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)

Wyse, C. A. et al. (2017) Adverse metabolic and mental health outcomes associated with shiftwork in a population-based study of 277,168 workers in UK biobank. Annals of Medicine, 49(5), pp. 411-420. (doi:10.1080/07853890.2017.1292045) (PMID:28166415)

Cullen, B. , Ward, J., Graham, N. A., Deary, I. J., Pell, J. P. , Smith, D. J. and Evans, J. J. (2016) Prevalence and correlates of cognitive impairment in euthymic adults with bipolar disorder: a systematic review. Journal of Affective Disorders, 205, pp. 165-181. (doi:10.1016/j.jad.2016.06.063) (PMID:27449549)

Lyall, D. M. et al. (2016) Body-mass index and cardiometabolic disease: a Mendelian randomisation study of UK Biobank Participants. Lancet, 388(S2), S9-S9. (doi:10.1016/S0140-6736(16)32245-0)

Lyall, D. M. et al. (2016) Alzheimer disease genetic risk factor APOE e4, and cognitive abilities in 111,739 UK Biobank participants. Age and Ageing, 45(4), pp. 511-517. (doi:10.1093/ageing/afw068) (PMID:27103599)

Smith, D.J. et al. (2016) Genome-wide analysis of over 106 000 individuals identifies 9 neuroticism-associated loci. Molecular Psychiatry, 21(6), pp. 749-757. (doi:10.1038/mp.2016.49) (PMID:27067015)

This list was generated on Fri Apr 19 02:26:22 2019 BST.