Dr Desmond Campbell

Research Associate (MRC/CSO Social & Public Health Sciences Unit)

telephone: 0141 330 4042
email: Desmond.Campbell@glasgow.ac.uk

MRC/CSO Social and Public Health Sciences Unit,, Institute of Health and Wellbeing, University of Glasgow,, Clarice Pears Building,, 90 Byres Road,, Glasgow, G12 8TB

Import to contacts

https://orcid.org/0000-0003-1085-714X

Research interests

I have been investigating the causes of health inequalities in employment and mortality outcomes. For this I have been using large datasets including

UK Biobank
Public Health Scotland EDRIS
Clinical Practice Research Datalink (CPRD)
Brazil 100M Cohort

The analysis methods I have employed (implemented using R) are

two sample Mendelian Randomisation
survival analysis
propensity score risk set matching

Publications

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Jump to: 2022 | 2021 | 2020 | 2019 | 2018 | 2016 | 2015 | 2014 | 2013 | 2012 | 2010 | 2009 | 2008 | 2007 | 2006

Number of items: 41.

2022

Pescarini, J. M. et al. (2022) Impact of Brazil’s Bolsa Familia Programme on cardiovascular and all-cause mortality: a natural experiment study using the 100 Million Brazilian Cohort. International Journal of Epidemiology, 51(6), pp. 1847-1861. (doi: 10.1093/ije/dyac188) (PMID:36172959) (PMCID:PMC9749722)

Shaw, R. J. et al. (2022) Biases arising from linked administrative data for epidemiological research: a conceptual framework from registration to analyses. European Journal of Epidemiology, 37(12), pp. 1215-1224. (doi: 10.1007/s10654-022-00934-w) (PMID:36333542) (PMCID:PMC9792414)

Lalloo, D., Lewsey, J. , Katikireddi, S. V. , Macdonald, E. B. , Campbell, D. and Demou, E. (2022) Comparing anxiety and depression in information technology workers with others in employment: a UK Biobank cohort study. Annals of Work Exposures and Health, 66(9), pp. 1136-1150. (doi: 10.1093/annweh/wxac061) (PMID:36029464) (PMCID:PMC9664232)

Shaw, R. , Harron, K., Pescarini, J., Júnior, E., Siroky, A., Campbell, D. , Dundas, R. , Ichihara, M. Y., Barreto, M. and Katikireddi, V. (2022) Biases Arising from Using Linked Administrative Data for Research: A Conceptual Framework from Registration to Analysis. In: 2022 International Population Data Linkage, Edinburgh, UK, 7-9 Sept 2022, (doi: 10.23889/ijpds.v7i3.1800)

Campbell, D. et al. (2022) Effects of depression on employment and social outcomes: a Mendelian randomisation study. Journal of Epidemiology and Community Health, 76(6), pp. 563-571. (doi: 10.1136/jech-2021-218074) (PMID:35318279) (PMCID:PMC9118074)

2021

Campbell, D. D. et al. (2021) Effects of increased body mass index on employment status: a Mendelian randomisation study. International Journal of Obesity, 45(8), pp. 1790-1801. (doi: 10.1038/s41366-021-00846-x) (PMID:34158612)

Shah, A. S.V. et al. (2021) Clinical burden, risk factor impact and outcomes following myocardial infarction and stroke: a 25-year individual patient level linkage study. Lancet Regional Health - Europe, 7, 100141. (doi: 10.1016/j.lanepe.2021.100141) (PMID:34405203) (PMCID:PMC8351196)

Niedzwiedz, C. L. et al. (2021) Mental health and health behaviours before and during the initial phase of the COVID-19 lockdown: longitudinal analyses of the UK Household Longitudinal Study. Journal of Epidemiology and Community Health, 75(3), pp. 224-231. (doi: 10.1136/jech-2020-215060) (PMID:32978210) (PMCID:PMC7892383)

2020

Harrison, S. et al. (2020) The causal effects of health conditions and risk factors on social and socioeconomic outcomes: Mendelian randomization in UK Biobank. International Journal of Epidemiology, 49(5), pp. 1661-1681. (doi: 10.1093/ije/dyaa114) (PMID:32808034) (PMCID:PMC7746412)

2019

Iniesta, R. et al. (2019) Gene variants at loci related to blood pressure account for variation in response to antihypertensive drugs between black and white individuals. Hypertension, 74(3), pp. 614-622. (doi: 10.1161/hypertensionaha.118.12177) (PMID:31327267)

2018

Graham, L. A., Aman, A., Campbell, D. D. , Augley, J., Graham, D. , McBride, M. W. , Fraser, N. J., Ferreri, N. R., Dominiczak, A. F. and Padmanabhan, S. (2018) Salt stress in the renal tubules is linked to TAL specific expression of uromodulin and an upregulation of heat shock genes. Physiological Genomics, 50(11), pp. 964-972. (doi: 10.1152/physiolgenomics.00057.2018) (PMID:30216136) (PMCID:PMC6293113)

Campbell, D. D. , Li, Y. and Sham, P. C. (2018) Multifactorial disease risk calculator: risk prediction for multifactorial disease pedigrees. Genetic Epidemiology, 42(2), pp. 130-133. (doi: 10.1002/gepi.22101) (PMID:29178360)

2016

Porsch, R. M. et al. (2016) Sacral agenesis: a pilot whole exome sequencing and copy number study. BMC Medical Genetics, 17(1), 98. (doi: 10.1186/s12881-016-0359-2) (PMID:28007035) (PMCID:PMC5178083)

Wong, J. K. L. et al. (2016) Genetic study of congenital bile-duct dilatation identifies de novo and inherited variants in functionally related genes. BMC Medical Genomics, 9(1), 75. (doi: 10.1186/s12920-016-0236-z) (PMID:27955658) (PMCID:PMC5154011)

Trotta, A. et al. (2016) Interplay between schizophrenia polygenic risk score and childhood adversity in first-presentation psychotic disorder: a pilot study. PLoS ONE, 11(9), e0163319. (doi: 10.1371/journal.pone.0163319) (PMID:27648571) (PMCID:PMC5029892)

Li, Y. et al. (2016) Two subtypes of intervertebral disc degeneration distinguished by large-scale population-based study. Spine Journal, 16(9), pp. 1079-1089. (doi: 10.1016/j.spinee.2016.04.020) (PMID:27157501)

Mak, T. S. H., Kwan, J. S. H., Campbell, D. D. and Sham, P. C. (2016) Local true discovery rate weighted polygenic scores using GWAS summary data. Behavior Genetics, 46(4), pp. 573-582. (doi: 10.1007/s10519-015-9770-2) (PMID:26747043)

Zhou, P. et al. (2016) A single nucleotide variant in HNF-1β is associated with maturity-onset diabetes of the young in a large Chinese family. Iranian Journal of Public Health, 45(2), pp. 170-178. (PMID:27114981) (PMCID:PMC4841871)

2015

Toulopoulou, T. et al. (2015) Reciprocal causation models of cognitive vs volumetric cerebral intermediate phenotypes for schizophrenia in a pan-European twin cohort. Molecular Psychiatry, 20(11), pp. 1386-1396. (doi: 10.1038/mp.2014.152) (PMID:25450228)

Campbell, D. D. , Porsch, R. M., Cherny, S. S., Capra, V., Merello, E., De Marco, P., Sham, P. C. and Garcia-Barceló, M.-M. (2015) Cost effective assay choice for rare disease study designs. Orphanet Journal of Rare Diseases, 10(1), p. 10. (doi: 10.1186/s13023-015-0226-9) (PMID:25648394) (PMCID:PMC4334400)

Yu, D. et al. (2015) Cross-disorder genome-wide analyses suggest a complex genetic relationship between Tourette’s syndrome and OCD. American Journal of Psychiatry, 172(1), pp. 82-93. (doi: 10.1176/appi.ajp.2014.13101306) (PMID:25158072) (PMCID:PMC4282594)

2014

Campbell, D. D. (2014) Error in sample size formula. Journal of Human Reproductive Sciences, 7(2), p. 155. (doi: 10.4103/0974-1208.138878) (PMCID:PMC4150146)

Campbell, D. D. (2014) Identifying gene-environment interactions in schizophrenia: contemporary challenges for integrated, large-scale investigations. Schizophrenia Bulletin, 40(4), pp. 729-736. (doi: 10.1093/schbul/sbu069) (PMID:24860087)

Dickson, H., Cullen, A. E., Reichenberg, A., Hodgins, S., Campbell, D. D. , Morris, R. G. and Laurens, K. R. (2014) Cognitive impairment among children at-risk for schizophrenia. Journal of Psychiatric Research, 50, pp. 92-99. (doi: 10.1016/j.jpsychires.2013.12.003) (PMID:24373930)

Iyegbe, C., Campbell, D. , Butler, A., Ajnakina, O. and Sham, P. (2014) The emerging molecular architecture of schizophrenia, polygenic risk scores and the clinical implications for GxE research. Social Psychiatry and Psychiatric Epidemiology, 49(2), pp. 169-182. (doi: 10.1007/s00127-014-0823-2) (PMID:24435092)

2013

Keller, M. C. et al. (2013) Partitioning the heritability of Tourette Syndrome and obsessive compulsive disorder reveals differences in genetic architecture. PLoS Genetics, 9(10), e1003864. (doi: 10.1371/journal.pgen.1003864) (PMID:24204291) (PMCID:PMC3812053)

Scharf, J. M. et al. (2013) Genome-wide association study of Tourette's syndrome. Molecular Psychiatry, 18(6), pp. 721-728. (doi: 10.1038/mp.2012.69) (PMID:22889924) (PMCID:PMC3605224)

Zhang, G. et al. (2013) CNV analysis in Tourette syndrome implicates large genomic rearrangements in COL8A1 and NRXN1. PLoS ONE, 8(3), e59061. (doi: 10.1371/journal.pone.0059061) (PMID:23533600) (PMCID:PMC3606459)

2012

Reich, D. et al. (2012) Corrigendum: Reconstructing Native American population history. Nature, 491(7423), p. 288. (doi: 10.1038/nature11667)

Reich, D. et al. (2012) Reconstructing Native American population history. Nature, 488(7411), pp. 370-374. (doi: 10.1038/nature11258) (PMID:22801491) (PMCID:PMC3615710)

Campbell, D. D. et al. (2012) Amerind ancestry, socioeconomic status and the genetics of type 2 diabetes in a Colombian population. PLoS ONE, 7(4), e33570. (doi: 10.1371/journal.pone.0033570) (PMID:22529894) (PMCID:PMC3328483)

Huezo-Diaz, P. et al. (2012) CYP2C19 genotype predicts steady state escitalopram concentration in GENDEP. Journal of Psychopharmacology, 26(3), pp. 398-407. (doi: 10.1177/0269881111414451) (PMID:21926427) (PMCID:21926427)

2010

Campbell, D. D. , Sham, P. C., Knight, J., Wickham, H. and Landau, S. (2010) Software for generating liability distributions for pedigrees conditional on their observed disease states and covariates. Genetic Epidemiology, 34(2), pp. 159-170. (doi: 10.1002/gepi.20446) (PMID:19771574)

2009

Perroud, N. et al. (2009) Suicidal ideation during treatment of depression with escitalopram and nortriptyline in Genome-Based Therapeutic Drugs for Depression (GENDEP): a clinical trial. BMC Medicine, 7(1), 60. (doi: 10.1186/1741-7015-7-60) (PMID:19832967) (PMCID:PMC2768737)

Florez, J. C. et al. (2009) Strong association of socioeconomic status with genetic ancestry in Latinos: implications for admixture studies of type 2 diabetes. Diabetologia, 52(8), pp. 1528-1536. (doi: 10.1007/s00125-009-1412-x) (PMID:19526211) (PMCID:PMC3113605)

2008

Chen, W. et al. (2008) DSM-IV combined type ADHD shows familial association with sibling trait scores: a sampling strategy for QTL linkage. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 147B(8), pp. 1450-1460. (doi: 10.1002/ajmg.b.30672) (PMID:18189238)

Zhou, K. et al. (2008) Linkage to chromosome 1p36 for attention-deficit/hyperactivity disorder traits in school and home settings. Biological Psychiatry, 64(7), pp. 571-576. (doi: 10.1016/j.biopsych.2008.02.024) (PMID:18439570) (PMCID:PMC3589988)

Asherson, P. et al. (2008) A high-density SNP linkage scan with 142 combined subtype ADHD sib pairs identifies linkage regions on chromosomes 9 and 16. Molecular Psychiatry, 13(5), pp. 514-521. (doi: 10.1038/sj.mp.4002140) (PMID:18180756)

2007

Campbell, D.D. , Rijsdijk, F.V. and Sham, P.C. (2007) Computation of individual latent variable scores from data with multiple missingness patterns. Behavior Genetics, 37(2), pp. 408-422. (doi: 10.1007/s10519-006-9123-2) (PMID:17120140)

2006

Brookes, K. et al. (2006) The analysis of 51 genes in DSM-IV combined type attention deficit hyperactivity disorder: association signals in DRD4, DAT1 and 16 other genes. Molecular Psychiatry, 11(10), pp. 934-953. (doi: 10.1038/sj.mp.4001869) (PMID:16894395)

This list was generated on Fri Apr 19 09:35:20 2024 BST.

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