Dr Rona Strawbridge

Senior Lecturer (Mental Health & Wellbeing)

email: Rona.Strawbridge@glasgow.ac.uk
pronouns: She/her/hers

Room 257a, Clarice Pears Building, 90 Byres Road, G12 8TB

Biography

I completed my BSc in Biochemistry with Medical Biochemistry at Cardiff University (UK) in 2003 and moved to Karolinksa Institute (Sweden) to undertake a PhD. I defended my PhD thesis entitled "Genetic Studies of Prostate Cancer and Type 2 Diabetes: MUC1 and GHR" in 2008.

I stayed at Karolinska Institute as a Post-Doctoral Fellow (2009-2011), conducting genome-wide genetic studies of glucometabolic and cardiovascular traits and participating in many projects run through international genetics consortia, including MAGIC, GIANT and DIAGRAM.

Continuing at Karolinska Institute, I was appointed Research Associate Professor (2012-2016), where I focused on using genetics to explore causality of metabolic components on cardiovascular disease, and was awarded Associate Professorship (Docent) in Molecular Medicine. I have an ongoing affiliation with the Cardiovascular Medicine Division at Karolinska Institute.

In 2017 I moved to Glasgow University (UK) to join Professor Daniel Smith's team, to study the genetics of mental illness. In 2018 was awarded a UKRI innovation Fellowship by Health Data Science UK to investigate, using genetics, why individuals with serious mental illness have an increased risk of cardiometabolic disease.

I currently co-lead the Behavioural Epidemiology and Genetics group.

Research interests

People with serious mental illness (such as schizophrenia, bipolar disorder and major depressive disorder) have an increased incidence of cardiometabolic disease (such as obesity, type 2 diabetes and heart disease) compared to the general population, however the reasons for this are poorly understood. It is possible that there are common biological mechanisms for both mental and physical traits. If so, some medications currently used for cardiometabolic disorders could be repurposed to improve mental health and reduce long-term complications in those with serious mental illness.

I aim to investigate whether common biological mechanisms underlie physical and mental illness by:

Exploring the genetic basis of serious mental illness, using cross-diagnostic traits associated with psychiatric diseases (following the research domain criteria (RDoC) approach)
Assessing the impact of genetic susceptibility to serious mental illness on cardiometabolic traits.
Using genetics to improve prediction of risk, severity and outcomes in serious mental illness.

I am always open to discussing discuss potential collaborations

Knowledge Exchange

Genetics of Suicidal Behaviour: http://theconversation.com/what-our-new-study-reveals-about-the-genetics-and-biology-of-suicidal-behaviour-111878

The biological link between mental illness and heart disease, diabetes and obesity: https://www.youtube.com/watch?v=sj0oomrcHFM

Collaborators

Karolinska Institute (Sweden): Professor Peter Arner, Docent Ingrid Dahlman and Docent Bruna Gigante.

Science for Life Laboratory, Uppsala (Sweden): Docent Bengt Sennblad

Centro Cardiologico Monzino and Università degli Studi di Milano (Italy): Professor Elena Tremoli, Assistant Professor Damiano Baldassarre, Dr Fabrizio Veglia.

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2008 | 2007

Number of items: 126.

2024

Frigerio, B. et al. (2024) Determinants of carotid wall echolucency in a cohort of European high cardiovascular risk subjects: A cross-sectional analysis of IMPROVE baseline data. Biomedicines, 12(4), 737. (doi: 10.3390/biomedicines12040737)

2023

Strawbridge, R. J. and Graham, N. (2023) Dissecting the genetic relationship between schizophrenia and cardiovascular disease. American Journal of Psychiatry, 180(11), pp. 785-786. (doi: 10.1176/appi.ajp.20230714) (PMID:37908093)

Ranglani, S., Ward, J. , Sattar, N. , Strawbridge, R. J. and Lyall, D. M. (2023) Testing for associations between HbA1c levels, polygenic risk and brain health in UK Biobank (N = 39 283). Diabetes, Obesity and Metabolism, 25(11), pp. 3136-3143. (doi: 10.1111/dom.15207) (PMID:37435691)

Forsyth, L., Aman, A., Cullen, B. , Graham, N., Lyall, D. M. , Lyall, L. M., Pell, J. P. , Ward, J. , Smith, D. J. and Strawbridge, R. J. (2023) Genetic architecture of DCC and influence on psychological, psychiatric and cardiometabolic traits in multiple ancestry groups in UK Biobank. Journal of Affective Disorders, 339, pp. 943-953. (doi: 10.1016/j.jad.2023.07.052) (PMID:37487843)

Ward, J. et al. (2023) Consistent effects of the genetics of happiness across the lifespan and ancestries in multiple cohorts. Scientific Reports, 13, 17262. (doi: 10.1038/s41598-023-43193-9) (PMID:37828061) (PMCID:PMC10570373)

Lagou, V. et al. (2023) GWAS of random glucose in 476,326 individuals provide insights into diabetes pathophysiology, complications and treatment stratification. Nature Genetics, 55(9), pp. 1448-1461. (doi: 10.1038/s41588-023-01462-3) (PMID:37679419) (PMCID:PMC10484788)

Lyall, L. M., Sangha, N., Zhu, X., Lyall, D. M. , Ward, J. , Strawbridge, R. J. , Cullen, B. and Smith, D. J. (2023) Subjective and objective sleep and circadian parameters as predictors of depression-related outcomes: a machine learning approach in UK Biobank. Journal of Affective Disorders, 335, pp. 83-94. (doi: 10.1016/j.jad.2023.04.138) (PMID:37156273)

Ward, J. et al. (2023) Polygenic risk of major depressive disorder as a risk factor for venous thromboembolism. Blood Advances, (doi: 10.1182/bloodadvances.2023010562) (PMID:37399490) (In Press)

Cullen, B. et al. (2023) Cognitive function in people with familial risk of depression. JAMA Psychiatry, 80(6), pp. 610-620. (doi: 10.1001/jamapsychiatry.2023.0716) (PMID:37074691) (PMCID:PMC10116387)

Maitusong, B. et al. (2023) Cross-sectional gene-smoking interaction analysis in relation to subclinical atherosclerosis-results from the IMPROVE study. Circulation: Genomic and Precision Medicine, 16(3), pp. 236-247. (doi: 10.1161/CIRCGEN.122.003710) (PMID:37021583) (PMCID:PMC10284137)

Broadway, K. A. et al. (2023) Loci for insulin processing and secretion provide insight into type 2 diabetes risk. American Journal of Human Genetics, 110(2), pp. 284-299. (doi: 10.1016/j.ajhg.2023.01.002) (PMID:36693378) (PMCID:PMC9943750)

Ward, J. et al. (2023) Testing for association between exonic glucagon-like peptide 1 receptor mutation with physical and brain health traits in UK Biobank. Diabetes, Obesity and Metabolism, 25(2), pp. 623-627. (doi: 10.1111/dom.14879) (PMID:36181450)

Moreno Velásquez, I. et al. (2023) Causal analysis of plasma IL-8 on carotid intima media thickness, a measure of subclinical atherosclerosis. Current Research in Translational Medicine, 71(1), 103374. (doi: 10.1016/j.retram.2022.103374) (PMID:36493747)

2022

Aman, A., Slob, E. A.W., Ward, J. , Cullen, B. , Graham, N., Lyall, D. M. , Sattar, N. and Strawbridge, R. J. (2022) Investigating the potential impact of PCSK9-inhibitors on mood disorders using eQTL-based Mendelian randomization. PLoS ONE, 17(12), e0279381. (doi: 10.1371/journal.pone.0279381) (PMID:36580462) (PMCID:PMC9799310)

Hay, R., Cullen, B. , Graham, N., Lyall, D. M. , Aman, A., Pell, J. P. , Ward, J. , Smith, D. J. and Strawbridge, R. J. (2022) Genetic analysis of the PCSK9 locus in psychological, psychiatric, metabolic and cardiovascular traits in UK Biobank. European Journal of Human Genetics, 30(12), pp. 1380-1390. (doi: 10.1038/s41431-022-01107-9) (PMID:35501368) (PMCID:PMC9712543)

Kulyté, A., Aman, A., Strawbridge, R. J. , Arner, P. and Dahlman, I. A. (2022) Genome-wide association study identifies genetic loci associated with fat cell number and overlap with genetic risk loci for type 2 diabetes. Diabetes, 71(6), pp. 1350-1362. (doi: 10.2337/db21-0804) (PMID:35320353)

Kulyté, A., Lundbäck, V., Arner, P., Strawbridge, R. and Dahlman, I. (2022) Shared genetic loci for body fat storage and adipocyte lipolysis in humans. Scientific Reports, 12, 3666. (doi: 10.1038/s41598-022-07291-4) (PMID:35256633) (PMCID:PMC8901764)

Mannarino, M. R. et al. (2022) Neutrophil to lymphocyte ratio is not related to carotid atherosclerosis progression and cardiovascular events in the primary prevention of cardiovascular disease: results from the IMPROVE study. BioFactors, 48(1), pp. 100-110. (doi: 10.1002/biof.1801) (PMID:34761838)

Lyall, D. M. , Quinn, T. , Lyall, L. M., Ward, J. , Anderson, J. J. , Smith, D. J. , Stewart, W. , Strawbridge, R. J. , Bailey, M. E.S. and Cullen, B. (2022) Quantifying bias in psychological and physical health in the UK Biobank imaging sub-sample. Brain Communications, 4(3), fcac119. (doi: 10.1093/braincomms/fcac119) (PMID:35651593) (PMCID:PMC9150072)

2021

Zhu, X., Ward, J. , Cullen, B. , Lyall, D. M. , Strawbridge, R. J. , Smith, D. J. and Lyall, L. M. (2021) Polygenic risk for schizophrenia, brain structure and environmental risk in UK Biobank. Schizophrenia Bulletin Open, 2(1), sgab042. (doi: 10.1093/schizbullopen/sgab042)

Burt, O., Johnston, K. J.A., Graham, N., Cullen, B. , Lyall, D. M. , Lyall, L. M., Pell, J. P. , Ward, J. , Smith, D. J. and Strawbridge, R. J. (2021) Genetic variation in the ASTN2 locus in cardiovascular, metabolic and psychiatric traits: evidence for pleiotropy rather than shared biology. Genes, 12(8), 1194. (doi: 10.3390/genes12081194) (PMID:34440368) (PMCID:PMC8391428)

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)

Zhu, X., Ward, J. , Cullen, B. , Lyall, D. M. , Strawbridge, R. J. , Lyall, L. M. and Smith, D. J. (2021) Phenotypic and genetic associations between anhedonia and brain structure in UK Biobank. Translational Psychiatry, 11, 395. (doi: 10.1038/s41398-021-01522-4) (PMID:34282121) (PMCID:PMC8289859)

Coggi, D. et al. (2021) Relationship between circulating PCSK9 and markers of subclinical atherosclerosis—the IMPROVE study. Biomedicines, 9(7), 841. (doi: 10.3390/biomedicines9070841) (PMCID:PMC8301759)

Chen, J. et al. (2021) The trans-ancestral genomic architecture of glycemic traits. Nature Genetics, 53(6), pp. 840-860. (doi: 10.1038/s41588-021-00852-9) (PMID:34059833) (PMCID:PMC7610958)

Laguzzi, F. et al. (2021) Intake of food rich in saturated fat in relation to subclinical atherosclerosis and potential modulating effects from single genetic variants. Scientific Reports, 11, 7866. (doi: 10.1038/s41598-021-86324-w) (PMID:33846368) (PMCID:PMC8042105)

Johnston, K. J.A. et al. (2021) Sex-stratified genome-wide association study of multisite chronic pain in UK Biobank. PLoS Genetics, 17(4), e1009428. (doi: 10.1371/journal.pgen.1009428) (PMID:33830993) (PMCID:PMC8031124)

Herdenberg, C. et al. (2021) LRIG proteins regulate lipid metabolism via BMP signaling and affect the risk of type 2 diabetes. Communications Biology, 4, 90. (doi: 10.1038/s42003-020-01613-w) (PMID:33469151) (PMCID:PMC7815736)

Strawbridge, R. J. et al. (2021) The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically different groups of individuals. Scientific Reports, 11, 632. (doi: 10.1038/s41598-020-79964-x) (PMID:33436761) (PMCID:PMC7804422)

Lagou, V. et al. (2021) Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability. Nature Communications, 12, 24. (doi: 10.1038/s41467-020-19366-9) (PMID:33402679) (PMCID:PMC7785747)

Milton, D. C., Ward, J. , Ward, E., Lyall, D. M. , Strawbridge, R. J. , Smith, D. J. and Cullen, B. (2021) The association between C-reactive protein, mood disorder and cognitive function in UK Biobank European Psychiatry. European Psychiatry, 64(1), e14. (doi: 10.1192/j.eurpsy.2021.6) (PMID:33517931) (PMCID:PMC8057439)

2020

Ferguson, A. C. et al. (2020) Association of SBP and BMI with cognitive and structural brain phenotypes in UK Biobank. Journal of Hypertension, 38(12), pp. 2482-2489. (doi: 10.1097/HJH.0000000000002579) (PMID:32665523)

van Zuydam, N. R. et al. (2020) Genetic predisposition to coronary artery disease in type 2 diabetes. Circulation: Genomic and Precision Medicine, 13(6), e002769. (doi: 10.1161/CIRCGEN.119.002769) (PMID:33321069) (PMCID:PMC7748049)

Morris, J. et al. (2020) Exploring the role of contactins across psychological, psychiatric and cardiometabolic traits within UK Biobank. Genes, 11(11), 1326. (doi: 10.3390/genes11111326) (PMID:33182605) (PMCID:PMC7697406)

Castaldo, L. et al. (2020) Genetic variants associated with non-alcoholic fatty liver disease do not associate with measures of sub-clinical atherosclerosis: results from the IMPROVE study. Genes, 11(11), 1243. (doi: 10.3390/genes11111243) (PMID:33105679) (PMCID:PMC7690395)

Ward, J. et al. (2020) The genomic basis of mood instability: identification of 46 loci in 363,705 UK Biobank participants, genetic correlation with psychiatric disorders, and association with gene expression and function. Molecular Psychiatry, 25(11), pp. 3091-3099. (doi: 10.1038/s41380-019-0439-8) (PMID:31168069) (PMCID:PMC7116257)

Lyall, D. M. et al. (2020) Association between APOE e4 and white matter hyperintensity volume, but not total brain volume or white matter integrity. Brain Imaging and Behavior, 14(5), pp. 1468-1476. (doi: 10.1007/s11682-019-00069-9) (PMID:30903549) (PMCID:PMC7572345)

Ferri, N. et al. (2020) Sex-specific predictors of PCSK9 levels in a European population: the IMPROVE study. Atherosclerosis, 309, pp. 39-46. (doi: 10.1016/j.atherosclerosis.2020.07.014) (PMID:32862087)

Ferguson, A. C. et al. (2020) Alzheimer’s disease susceptibility gene apolipoprotein e (APOE) and blood biomarkers in UK Biobank (N=395,769). Journal of Alzheimer's Disease, 76(4), pp. 1541-1551. (doi: 10.3233/JAD-200338) (PMID:32651323)

Lundbäck, V., Kulyté, A., Arner, P., Strawbridge, R. J. and Dahlman, I. (2020) Genome-wide association study of diabetogenic adipose morphology in the GENetics of Adipocyte Lipolysis (GENiAL) Cohort. Cells, 9(5), e1085. (doi: 10.3390/cells9051085)

Bonomi, A. et al. (2020) Analysis of the genetic variants associated with circulating levels of sgp130. Results from the IMPROVE study. Genes and Immunity, 21, pp. 100-108. (doi: 10.1038/s41435-019-0090-z) (PMID:31932740) (PMCID:PMC7182533)

Kulyte, A., Lundback, V., Lindgren, C., Luan, J.'a., Lotta, L. A., Lagenberg, C., Arner, P., Strawbridge, R. J. and Dahlman, I. (2020) Genome-wide association study of adipocyte lipolysis in the GENetics of Adipocyte Lipolysis (GENiAL) cohort. Molecular Metabolism, 34, pp. 85-96. (doi: 10.1016/j.molmet.2020.01.009) (PMCID:PMC7021539)

Strawbridge, R. J. et al. (2020) Carotid intima-media thickness: novel loci, sex-specific effects, and genetic correlations with obesity and glucometabolic traits in UK Biobank. Arteriosclerosis, Thrombosis, and Vascular Biology, 40(2), pp. 446-461. (doi: 10.1161/ATVBAHA.119.313226) (PMID:31801372) (PMCID:PMC6975521)

2019

Ward, J. et al. (2019) Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure. Translational Psychiatry, 9, 327. (doi: 10.1038/s41398-019-0635-y) (PMID:31797917) (PMCID:PMC6892870)

Johnston, K. J.A., Adams, M. J., Nicholl, B. I. , Ward, J. , Strawbridge, R. , McIntosh, A., Smith, D. J. and Bailey, M. E.S. (2019) Identification of novel common variants associated with chronic pain using conditional false discovery rate analysis with major depressive disorder and assessment of pleiotropic effects of LRFN5. Translational Psychiatry, 9, 310. (doi: 10.1038/s41398-019-0613-4) (PMID:31748543) (PMCID:PMC6868167)

Clark, D. W. et al. (2019) Associations of autozygosity with a broad range of human phenotypes. Nature Communications, 10, 4957. (doi: 10.1038/s41467-019-12283-6) (PMID:31673082) (PMCID:PMC6823371)

Peterson, R. E. et al. (2019) Genome-wide association studies in ancestrally diverse populations: opportunities, methods, pitfalls, and recommendations. Cell, 179(3), pp. 589-603. (doi: 10.1016/j.cell.2019.08.051) (PMID:31607513)

Lyall, D. M. et al. (2019) Assessing for interaction between APOE ε4, sex and lifestyle on cognitive abilities. Neurology, 92, e2691-e2698. (doi: 10.1212/WNL.0000000000007551) (PMID:31028125) (PMCID:PMC6556094)

Johnston, K. J.A., Adams, M. J., Nicholl, B. I. , Ward, J. , Strawbridge, R. , Ferguson, A., McIntosh, A., Bailey, M. E.S. and Smith, D. J. (2019) Genome-wide association study of multisite chronic pain in UK Biobank. PLoS Genetics, 15(6), e1008164. (doi: 10.1371/journal.pgen.1008164) (PMID:31194737) (PMCID:PMC6592570)

Morris, J. et al. (2019) Genetic variation in CADM2 as a link between psychological traits and obesity. Scientific Reports, 9, 7339. (doi: 10.1038/s41598-019-43861-9) (PMID:31089183) (PMCID:PMC6517397)

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, 41, pp. 517-525. (doi: 10.1016/j.ebiom.2019.02.005) (PMID:30745170) (PMCID:PMC6442001)

2018

Franceschini, N. et al. (2018) GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes. Nature Communications, 9, 5141. (doi: 10.1038/s41467-018-07340-5) (PMID:30510157) (PMCID:PMC6277418)

Evangelou, E. et al. (2018) Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nature Genetics, 50, pp. 1412-1425. (doi: 10.1038/s41588-018-0205-x) (PMID:30224653) (PMCID:PMC6284793)

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) (PMCID:PMC6123450)

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)

Strawbridge, R. J. and van Zuydam, N. R. (2018) Shared genetic contribution of type 2 diabetes and cardiovascular disease: Implications for prognosis and treatment. Current Diabetes Reports, 18(8), 59. (doi: 10.1007/s11892-018-1021-5) (PMID:29938349) (PMCID:PMC6015804)

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)

Lundbäck, V., Kulyte, A., Strawbridge, R. J. , Ryden, M., Arner, P., Marcus, C. and Dahlman, I. (2018) FAM13A and POM121C are candidate genes for fasting insulin: functional follow-up analysis of a genome-wide association study. Diabetologia, 61(5), pp. 1112-1123. (doi: 10.1007/s00125-018-4572-8) (PMID:29487953)

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)

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)

Scott, R. A. et al. (2017) An expanded genome-wide association study of type 2 diabetes in Europeans. Diabetes, 66(11), pp. 2888-2902. (doi: 10.2337/db16-1253) (PMID:28566273)

Strawbridge, R. J. et al. (2017) Identification of a novel proinsulin-associated SNP and demonstration that proinsulin is unlikely to be a causal factor in subclinical vascular remodelling using Mendelian randomisation. Atherosclerosis, 266, pp. 196-204. (doi: 10.1016/j.atherosclerosis.2017.09.031) (PMID:29040868)

Gregg, E. et al. (2017) Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: a transethnic genome-wide meta-analysis. PLoS Medicine, 14(9), e1002383. (doi: 10.1371/journal.pmed.1002383) (PMID:28898252) (PMCID:PMC5595282)

Wain, L. V. et al. (2017) Novel blood pressure locus and gene discovery using genome-wide association study and expression data sets from blood and the kidney. Hypertension, 70(3), e4-e19. (doi: 10.1161/HYPERTENSIONAHA.117.09438) (PMID:28739976)

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)

Frånberg, M., Strawbridge, R. J. , Hamsten, A., de Faire, U., Lagergren, J. and Sennblad, B. (2017) Fast and general tests of genetic interaction for genome-wide association studies. PLoS Computational Biology, 13(6), e1005556. (doi: 10.1371/journal.pcbi.1005556) (PMID:28586362) (PMCID:PMC5478145)

Justice, A. E. et al. (2017) Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nature Communications, 8, 14977. (doi: 10.1038/ncomms14977) (PMID:28443625) (PMCID:PMC5414044)

Folkersen, L. et al. (2017) Mapping of 79 loci for 83 plasma protein biomarkers in cardiovascular disease. PLoS Genetics, 13(4), e1006706. (doi: 10.1371/journal.pgen.1006706) (PMID:28369058) (PMCID:PMC5393901)

2016

Bruzelius, M. et al. (2016) PDGFB, a new candidate plasma biomarker for venous thromboembolism: results from the VEREMA affinity proteomics study. Blood, 128(23), e59-e66. (doi: 10.1182/blood-2016-05-711846) (PMID:27742707)

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)

Strawbridge, R. J. et al. (2016) Soluble CD93 is involved in metabolic dysregulation but does not influence carotid intima-media thickness. Diabetes, 65(10), pp. 2888-2899. (doi: 10.2337/db15-1333) (PMID:27659228)

Kanoni, S. et al. (2016) Analysis with the exome array identifies multiple new independent variants in lipid loci. Human Molecular Genetics, 25(18), pp. 4094-4106. (doi: 10.1093/hmg/ddw227) (PMID:27466198) (PMCID:PMC5291227)

McLeod, O. et al. (2016) Genetic loci on chromosome 5 are associated with circulating levels of interleukin-5 and eosinophil count in a European population with high risk for cardiovascular disease. Cytokine, 81, pp. 1-9. (doi: 10.1016/j.cyto.2016.01.007) (PMID:26821299) (PMCID:PMC4837217)

Paramel Varghese, G. et al. (2016) NLRP3 inflammasome expression and activation in human atherosclerosis. Journal of the American Heart Association, 5(5), e003031. (doi: 10.1161/JAHA.115.003031) (PMID:27207962) (PMCID:PMC4889178)

Strawbridge, R. J. , Laumen, H., Hamsten, A., Breier, M., Grallert, H., Hauner, H., Arner, P. and Dahlman, I. (2016) Effects of genetic loci associated with central obesity on adipocyte lipolysis. PLoS ONE, 11(4), e0153990. (doi: 10.1371/journal.pone.0153990) (PMID:27104953) (PMCID:PMC4841524)

Dahlman, I., Rydén, M., Brodin, D., Grallert, H., Strawbridge, R. J. and Arner, P. (2016) Numerous genes in loci associated with body fat distribution are linked to adipose function. Diabetes, 65(2), pp. 433-437. (doi: 10.2337/db15-0828) (PMID:26798124)

Bruzelius, M. et al. (2016) F11 is associated with recurrent VTE in women: a prospective cohort study. Thrombosis and Haemostasis, 115(2), pp. 406-414. (doi: 10.1160/TH15-06-0459) (PMID:26423325)

2015

Gaulton, K. J. et al. (2015) Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci. Nature Genetics, 47(12), pp. 1415-1425. (doi: 10.1038/ng.3437) (PMID:26551672) (PMCID:MC4666734)

Winkler, T. W. et al. (2015) The influence of age and sex on genetic associations with adult body size and shape: a large-scale genome-wide interaction study. PLoS Genetics, 11(10), e1005378. (doi: 10.1371/journal.pgen.1005378) (PMID:26426971) (PMCID:PMC4591371)

Huffman, J. E. et al. (2015) Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF. Blood, 126(11), e19-e29. (doi: 10.1182/blood-2015-02-624551) (PMID:26105150) (PMCID:PMC4566813)

Jiao, H., Arner, P., Gerdhem, P., Strawbridge, R. J. , Näslund, E., Thorell, A., Hamsten, A., Kere, J. and Dahlman, I. (2015) Exome sequencing followed by genotyping suggests SYPL2 as a susceptibility gene for morbid obesity. European Journal of Human Genetics, 23(9), pp. 1216-1222. (doi: 10.1038/ejhg.2014.255) (PMID:25406998) (PMCID:PMC4538196)

Persson, J. et al. (2015) Sex‐specific effects of adiponectin on carotid intima‐media thickness and incident cardiovascular disease. Journal of the American Heart Association, 4(8), e001853. (doi: 10.1161/JAHA.115.001853) (PMID:26276317) (PMCID:PMC4599454)

Joshi, P. K. et al. (2015) Directional dominance on stature and cognition in diverse human populations. Nature, 523(7561), pp. 459-462. (doi: 10.1038/nature14618) (PMID:26131930)

den Hoed, M. et al. (2015) GWAS-identified loci for coronary heart disease are associated with intima-media thickness and plaque presence at the carotid artery bulb. Atherosclerosis, 239(2), pp. 304-310. (doi: 10.1016/j.atherosclerosis.2015.01.032) (PMID:25682028)

Moreno Velásquez, I. et al. (2015) Duffy antigen receptor genetic variant and the association with Interleukin 8 levels. Cytokine, 72(2), pp. 178-184. (doi: 10.1016/j.cyto.2014.12.019) (PMID:25647274)

Zimmermann, E. et al. (2015) Is the adiposity-associated FTO gene variant related to all-cause mortality independent of adiposity? Meta-analysis of data from 169,551 Caucasian adults. Obesity Reviews, 16(4), pp. 327-340. (doi: 10.1111/obr.12263)

Gigante, B. et al. (2015) Analysis of the role of interleukin 6 receptor haplotypes in the regulation of circulating levels of inflammatory biomarkers and risk of coronary heart disease. PLoS ONE, 10(3), e0119980. (doi: 10.1371/journal.pone.0119980) (PMID:25781951) (PMCID:PMC4364007)

Silveira, A. et al. (2015) Plasma IL-5 concentration and subclinical carotid atherosclerosis. Atherosclerosis, 239(1), pp. 125-130. (doi: 10.1016/j.atherosclerosis.2014.12.046) (PMID:25587992) (PMCID:PMC4340644)

Shungin, D. et al. (2015) New genetic loci link adipose and insulin biology to body fat distribution. Nature, 518(7538), pp. 187-196. (doi: 10.1038/nature14132) (PMID:25673412) (PMCID:PMC4338562)

Bruzelius, M., Bottai, M., Sabater-Lleal, M., Strawbridge, R.J. , Bergendal, A., Silveira, A., Sundström, A., Kieler, H., Hamsten, A. and Odeberg, J. (2015) Predicting venous thrombosis in women using a combination of genetic markers and clinical risk factors. Journal of Thrombosis and Haemostasis, 13(2), pp. 219-227. (doi: 10.1111/jth.12808) (PMID:25472531)

Wessel, J. et al. (2015) Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. Nature Communications, 6, 5897. (doi: 10.1038/ncomms6897) (PMID:25631608) (PMCID:PMC4311266)

Locke, A. E. et al. (2015) Genetic studies of body mass index yield new insights for obesity biology. Nature, 518(7538), pp. 197-206. (doi: 10.1038/nature14177) (PMID:25673413) (PMCID:PMC4382211)

Strodthoff, D. et al. (2015) Toll-like receptor 3 influences glucose homeostasis and β-cell insulin secretion. Diabetes, 64(10), pp. 3425-3438. (doi: 10.2337/db14-0838) (PMID:25918231)

2014

Gigante, B. et al. (2014) Low levels of IgM antibodies against phosphorylcholine are associated with fast carotid intima media thickness progression and cardiovascular risk in men. Atherosclerosis, 236(2), pp. 394-399. (doi: 10.1016/j.atherosclerosis.2014.07.030) (PMID:25150937)

Bruzelius, M. et al. (2014) Influence of coronary artery disease-associated genetic variants on risk of venous thromboembolism. Thrombosis Research, 134(2), pp. 426-432. (doi: 10.1016/j.thromres.2014.03.054) (PMID:24745723)

Strawbridge, R. J. et al. (2014) A serum 25-hydroxyvitamin D concentration-associated genetic variant in DHCR7 interacts with type 2 diabetes status to influence subclinical atherosclerosis (measured by carotid intima–media thickness). Diabetologia, 57(6), pp. 1159-1172. (doi: 10.1007/s00125-014-3215-y) (PMID:24663808)

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)

McLeod, O. et al. (2014) Plasma autoantibodies against apolipoprotein B-100 peptide 210 in subclinical atherosclerosis. Atherosclerosis, 232(1), pp. 242-248. (doi: 10.1016/j.atherosclerosis.2013.11.041) (PMID:24401246)

Baumert, J. et al. (2014) No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects. PLoS ONE, 9(12), e111156. (doi: 10.1371/journal.pone.0111156) (PMID:25551457) (PMCID:PMC4281156)

Wood, A. R. et al. (2014) Defining the role of common variation in the genomic and biological architecture of adult human height. Nature Genetics, 46(11), pp. 1173-1186. (doi: 10.1038/ng.3097) (PMID:25282103) (PMCID:PMC4250049)

2013

Deleskog, A. et al. (2013) Serum 25-hydroxyvitamin D concentration in subclinical carotid atheroscleros. Arteriosclerosis, Thrombosis, and Vascular Biology, 33(11), pp. 2633-2638. (doi: 10.1161/ATVBAHA.113.301593) (PMID:24072691)

Do, R. et al. (2013) Common variants associated with plasma triglycerides and risk for coronary artery disease. Nature Genetics, 45(11), pp. 1345-1352. (doi: 10.1038/ng.2795) (PMID:24097064) (PMCID:PMC3904346)

Willer, C. J. et al. (2013) Discovery and refinement of loci associated with lipid levels. Nature Genetics, 45(11), pp. 1274-1283. (doi: 10.1038/ng.2797) (PMID:24097068) (PMCID:PMC3838666)

Scott, R.A. et al. (2013) Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nature Genetics, 44(9), pp. 991-1005. (doi: 10.1038/ng.2385)

Paramel, G. V., Folkersen, L., Strawbridge, R. J. , Elmabsout, A. A., Särndahl, E., Lundman, P., Jansson, J.-H., Hansson, G. K., Sirsjö, A. and Fransén, K. (2013) CARD8 gene encoding a protein of innate immunity is expressed in human atherosclerosis and associated with markers of inflammation. Clinical Science, 125(8), pp. 401-407. (doi: 10.1042/CS20120572) (PMID:23611467)

Randall, J. C. et al. (2013) Sex-stratified Genome-wide Association Studies Including 270,000 Individuals Show Sexual Dimorphism in Genetic Loci for Anthropometric Traits. PLoS Genetics, 9(6), e1003500. (doi: 10.1371/journal.pgen.1003500) (PMID:23754948) (PMCID:PMC3674993)

Berndt, S. I. et al. (2013) Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics, 45(5), pp. 501-512. (doi: 10.1038/ng.2606) (PMID:23563607) (PMCID:PMC3973018)

Harrison, S. C. et al. (2013) A gene-centric study of common carotid artery remodelling. Atherosclerosis, 226(2), pp. 440-446. (doi: 10.1016/j.atherosclerosis.2012.11.002) (PMID:23246012) (PMCID:PMC3573227)

Shah, S. et al. (2013) Causal relevance of blood lipid fractions in the development of carotid atherosclerosis: mendelian randomization analysis. Circulation: Cardiovascular Genetics, 6(1), pp. 63-72. (doi: 10.1161/CIRCGENETICS.112.963140) (PMID:23275344)

Sabater-Lleal, M. et al. (2013) Multiethnic meta-analysis of genome-wide association studies in >100 000 subjects identifies 23 fibrinogen-associated loci but no strong evidence of a causal association between circulating fibrinogen and cardiovascular disease. Circulation, 128(12), pp. 1310-1324. (doi: 10.1161/CIRCULATIONAHA.113.002251)

2012

Huang, J. et al. (2012) Genome-wide association study for circulating levels of PAI-1 provides novel insights into its regulation. Blood, 120(24), pp. 4873-4881. (doi: 10.1182/blood-2012-06-436188) (PMID:22990020) (PMCID:PMC3520624)

Gertow, K. et al. (2012) Identification of the BCAR1-CFDP1-TMEM170A locus as a determinant of carotid intima-media thickness and coronary artery disease risk. Circulation: Cardiovascular Genetics, 5(6), pp. 656-665. (doi: 10.1161/CIRCGENETICS.112.963660) (PMID:2315247)

Morris, A. P. et al. (2012) Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nature Genetics, 44(9), pp. 981-990. (doi: 10.1038/ng.2383) (PMID:22885922) (PMCID:PMC3442244)

Helgadottir, A. et al. (2012) Apolipoprotein(a) genetic sequence variants associated with systemic atherosclerosis and coronary atherosclerotic burden but not with venous thromboembolism. Journal of the American College of Cardiology, 60(8), pp. 722-729. (doi: 10.1016/j.jacc.2012.01.078) (PMID:22898070)

Manning, A.K. et al. (2012) A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nature Genetics, 44, pp. 659-669. (doi: 10.1038/ng.2274)

2011

Strawbridge, R.J. et al. (2011) Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes. Diabetes, 60(10), pp. 2624-2634. (doi: 10.2337/db11-0415)

The IBC 50K CAD Consortium, and Strawbridge, R. (2011) Large-scale gene-centric analysis identifies novel variants for coronary artery disease. PLoS Genetics, 7(9), e1002260. (doi: 10.1371/journal.pgen.1002260) (PMID:21966275) (PMCID:PMC3178591)

Peden, J. F. et al. (2011) A genome-wide association study in Europeans and South Asians identifies five new loci for coronary artery disease. Nature Genetics, 43(4), pp. 339-344. (doi: 10.1038/ng.782) (PMID:21378988)

Sandling, J. K. et al. (2011) A candidate gene study of the type I interferon pathway implicates IKBKE and IL8 as risk loci for SLE. European Journal of Human Genetics, 19(4), pp. 479-484. (doi: 10.1038/ejhg.2010.197) (PMID:21179067) (PMCID:PMC3060320)

2010

Soranzo, N. et al. (2010) Common variants at 10 genomic loci influence hemoglobin A1C levels via glycemic and nonglycemic pathways. Diabetes, 59(12), pp. 3229-3239. (doi: 10.2337/db10-0502) (PMID:20858683) (PMCID:PMC2992787)

Heid, I. M. et al. (2010) Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nature Genetics, 42(11), pp. 949-960. (doi: 10.1038/ng.685) (PMID:20935629) (PMCID:PMC3000924)

2008

Strawbridge, R. J. , Nister, M., Brismar, K., Li, C. and Lindström, S. (2008) Influence of MUC1 genetic variation on prostate cancer risk and survival. European Journal of Human Genetics, 16(12), pp. 1521-1525. (doi: 10.1038/ejhg.2008.131) (PMID:18628787)

Strawbridge, R. J. , Nistér, M., Brismar, K., Grönberg, H. and Li, C. (2008) MUC1 as a putative prognostic marker for prostate cancer. Biomarker Insights, 3, pp. 303-315. (PMID:19578514) (PMCID:PMC2688377)

2007

Strawbridge, R.J. , Kärvestedt, L., Li, C., Efendic, S., Östenson, C.G., Gu, H.F. and Brismar, K. (2007) GHR exon 3 polymorphism: Association with type 2 diabetes mellitus and metabolic disorder. Growth Hormone and IGF Research, 17(5), pp. 392-398. (doi: 10.1016/j.ghir.2007.04.005) (PMID:17537658)

This list was generated on Thu Apr 18 20:00:27 2024 BST.

Jump to: Articles

Number of items: 126.

Articles

Ward, J. et al. (2023) Polygenic risk of major depressive disorder as a risk factor for venous thromboembolism. Blood Advances, (doi: 10.1182/bloodadvances.2023010562) (PMID:37399490) (In Press)

Chen, J. et al. (2021) The trans-ancestral genomic architecture of glycemic traits. Nature Genetics, 53(6), pp. 840-860. (doi: 10.1038/s41588-021-00852-9) (PMID:34059833) (PMCID:PMC7610958)

Clark, D. W. et al. (2019) Associations of autozygosity with a broad range of human phenotypes. Nature Communications, 10, 4957. (doi: 10.1038/s41467-019-12283-6) (PMID:31673082) (PMCID:PMC6823371)

Scott, R. A. et al. (2017) An expanded genome-wide association study of type 2 diabetes in Europeans. Diabetes, 66(11), pp. 2888-2902. (doi: 10.2337/db16-1253) (PMID:28566273)

Bruzelius, M. et al. (2016) F11 is associated with recurrent VTE in women: a prospective cohort study. Thrombosis and Haemostasis, 115(2), pp. 406-414. (doi: 10.1160/TH15-06-0459) (PMID:26423325)

Joshi, P. K. et al. (2015) Directional dominance on stature and cognition in diverse human populations. Nature, 523(7561), pp. 459-462. (doi: 10.1038/nature14618) (PMID:26131930)

Shungin, D. et al. (2015) New genetic loci link adipose and insulin biology to body fat distribution. Nature, 518(7538), pp. 187-196. (doi: 10.1038/nature14132) (PMID:25673412) (PMCID:PMC4338562)

Locke, A. E. et al. (2015) Genetic studies of body mass index yield new insights for obesity biology. Nature, 518(7538), pp. 197-206. (doi: 10.1038/nature14177) (PMID:25673413) (PMCID:PMC4382211)

Strodthoff, D. et al. (2015) Toll-like receptor 3 influences glucose homeostasis and β-cell insulin secretion. Diabetes, 64(10), pp. 3425-3438. (doi: 10.2337/db14-0838) (PMID:25918231)

Willer, C. J. et al. (2013) Discovery and refinement of loci associated with lipid levels. Nature Genetics, 45(11), pp. 1274-1283. (doi: 10.1038/ng.2797) (PMID:24097068) (PMCID:PMC3838666)

This list was generated on Thu Apr 18 20:00:27 2024 BST.

Grants

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

Mental Health Data Pathfinder
Medical Research Council
2018 - 2020

Supervision

2022-2023 MSc Illaria Di Fazio (Ongoing)

Aman, Alisha

Phenomic and pharmacogenomic dissection of blood pressure GW

Zhu, Xingxing

Phenotypic and genetic associations between anhedonia, brain structure and brain function

Akbari Movahed, Reza
Bayesian Deep Atlases for Cardiac Motion Abnormality Assessment by Integrating Imaging and Metadata
Di Fazio, Ilaria
Identifying Clinically Relevant Metabolite and Lipid Markers for Precise Diagnosis and Treatment of CNS-Leukaemia

2018 BSc (intercalated) Julia Morris (PMID:31089183)

2019 BSc (intercalated) Soddy Sau Yu Leung (PMID:33182605)

2019 Visiting PhD student, Daniela Coggi (Manuscript in preparation)

2020 BSc (intercalated) Olivia Burt (PMID:34440368)

2020 BSc Genetics, Lewis Forsyth (submitted)

2021 BSc (intercalated) Rachel Hay (PMID:35501368)

2021 MRes Katy Nicholson (manuscript in preparation)

2021 MRes Madeleine Hayman (manuscript in preparation)

2022 BSc (Intercalated) Victoria Clarke (manuscript in preparation)

2022 MRes Soumeen Jin (Manuscript in preparation)

2022 MRes Murray Marshall (Manuscript in preparation)

2022 MPh George Addo Opoku-Pare (Manuscript in preparation)

2022 MPH Yogasree Lekkala (Manuscript in preparation)

Teaching

MPH (2021-2022): Open Science lecture

BSc (Intercalated) (2021-2022): Complex disease genetics lecture

MSc Bioinformatics Course (2018-2021): Identification of disease-causing genetic variants module.

HDR-UK Summer School (2019): Analysing genomic data session

Professional activities & recognition

Prizes, awards & distinctions

2017: World Congress of Psychiatric Genetics poster prize finalist (International Society for Psychiatry)

Research fellowships

2018 - 2021: UKRI Innovation at HDR-UK
2021 - 2023: LKAS HDRUK fellow

Grant committees & research advisory boards

2022 - 2022: Italian Ministry of Health, Grant panel reviewer
2020 - 2023: Swiss National Science Foundation, Project Grant reviewer
2021 - 2021: Dutch Research Council (NWO), External reviewer
2021 - 2021: British Heart Foundation, Project Grant reviewer
2020 - 2020: Diabetes UK, Fellowship reviewer
2020 - 2020: MRC, Project Grant reviewer
2019 - 2019: MVLS ISSF Secondment, Review committee
2019 - 2019: King’s Health Partners/ Guys and St Thomas Charity Multiple Long Term Conditions Challenge Fund., Project Grant reviewer
2020 - 2022: Glasgow Polyomics, Advisory board
2023 - 2023: MQ Data Science, Fellowship reviewer

Editorial boards

2020: Genes

Selected international presentations

2021: Festival of Genomics and Biodata (Virtual (invited))
2020: Festival of Genomics (London (invited))
2018: Treatment Selection Ideas Lab (London (invited))

Supplementary

Chair of the Athena Swan Mentoring group (2020-ongoing) Secondment to the Lighthouse Laboratory in Glasgow (May 2020-Aug 2020) Steering committee member of the Meta-Analysis of Glucose and Insulin-related Consortium (MAGIC), 2017-ongoing.