Dr Rona Strawbridge

  • UKRI Innovation / Rutherford Fund Fellowship at HDR-UK (Mental Health & Wellbeing)

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.


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:

  1. Exploring the genetic basis of serious mental illness, using cross-diagnostic traits associated with psychiatric diseases (following the research domain criteria (RDoC) approach)
  2. Assessing the impact of genetic susceptibility to serious mental illness on cardiometabolic traits.
  3. 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

 

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

Selected publications

All publications

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Number of items: 84.

2019

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)

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)

Ward, J. et al. (2019) 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, (doi:10.1038/s41380-019-0439-8) (PMID:31168069) (Early Online Publication)

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)

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, (doi:10.1007/s11682-019-00069-9) (PMID:30903549) (Early Online 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, 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)

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)

Zanoni, P. et al. (2016) Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease. Science, 351(6278), pp. 1166-1171. (doi:10.1126/science.aad3517) (PMID:26965621) (PMCID:PMC4889017)

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)

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)

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)

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)

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 Fri Nov 15 11:14:41 2019 GMT.
Jump to: Articles
Number of items: 84.

Articles

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)

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)

Ward, J. et al. (2019) 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, (doi:10.1038/s41380-019-0439-8) (PMID:31168069) (Early Online Publication)

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)

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, (doi:10.1007/s11682-019-00069-9) (PMID:30903549) (Early Online 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, 41, pp. 517-525. (doi:10.1016/j.ebiom.2019.02.005) (PMID:30745170) (PMCID:PMC6442001)

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)

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)

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)

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)

Zanoni, P. et al. (2016) Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease. Science, 351(6278), pp. 1166-1171. (doi:10.1126/science.aad3517) (PMID:26965621) (PMCID:PMC4889017)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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 Fri Nov 15 11:14:41 2019 GMT.

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

    Feel free to contact me to discuss potential student projects

    Intercalated BSc projects

    2018 Julia Morris, CADM2 as a link between mental health and obesity (PMID:31089183)

    2019 Soddy Sau Yu Leung, CNTN5 in mental and physical health (Manuscript in preparation)

Teaching

MSc Bioinformatics Course (2018, 2019): Identification of disease-causing 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

Grant committees & research advisory boards

  • 2019: MVLS ISSF Secondment, Review committee

Selected international presentations

  • 2018: Treatment Selection Ideas Lab (London)

Research datasets

Jump to: 2019
Number of items: 1.

2019

Johnston, K., Adams, M. J., Nicholl, B. , Ward, J., Strawbridge, R. , Ferguson, A., McIntosh, A. M., Bailey, M. and Smith, D. (2019) Genome-wide association summary statistics for a genome-wide association study of multisite chronic pain. [Data Collection]

This list was generated on Fri Nov 15 11:14:43 2019 GMT.