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Dive into the research topics where Stephen F. Garner is active.

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Featured researches published by Stephen F. Garner.


Nature Genetics | 2009

A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium.

Nicole Soranzo; Tim D. Spector; Massimo Mangino; Brigitte Kühnel; Augusto Rendon; Alexander Teumer; Christina Willenborg; Benjamin J. Wright; Li Chen; Mingyao Li; Perttu Salo; Benjamin F. Voight; Philippa Burns; Roman A. Laskowski; Yali Xue; Stephan Menzel; David Altshuler; John R. Bradley; Suzannah Bumpstead; Mary-Susan Burnett; Joseph M. Devaney; Angela Döring; Roberto Elosua; Stephen E. Epstein; Wendy N. Erber; Mario Falchi; Stephen F. Garner; Mohammed J. R. Ghori; Alison H. Goodall; Rhian Gwilliam

The number and volume of cells in the blood affect a wide range of disorders including cancer and cardiovascular, metabolic, infectious and immune conditions. We consider here the genetic variation in eight clinically relevant hematological parameters, including hemoglobin levels, red and white blood cell counts and platelet counts and volume. We describe common variants within 22 genetic loci reproducibly associated with these hematological parameters in 13,943 samples from six European population-based studies, including 6 associated with red blood cell parameters, 15 associated with platelet parameters and 1 associated with total white blood cell count. We further identified a long-range haplotype at 12q24 associated with coronary artery disease and myocardial infarction in 9,479 cases and 10,527 controls. We show that this haplotype demonstrates extensive disease pleiotropy, as it contains known risk loci for type 1 diabetes, hypertension and celiac disease and has been spread by a selective sweep specific to European and geographically nearby populations.


Blood | 2009

A novel variant on chromosome 7q22.3 associated with mean platelet volume, counts, and function.

Nicole Soranzo; Augusto Rendon; Christian Gieger; Chris I. Jones; Nicholas A. Watkins; Stephan Menzel; Angela Döring; Jonathan Stephens; Holger Prokisch; Wendy N. Erber; Simon Potter; Sarah L. Bray; Philippa Burns; Jennifer Jolley; Mario Falchi; Brigitte Kühnel; Jeanette Erdmann; Heribert Schunkert; Nilesh J. Samani; Thomas Illig; Stephen F. Garner; Angela Rankin; Christa Meisinger; John R. Bradley; Swee Lay Thein; Alison H. Goodall; Tim D. Spector; Panos Deloukas; Willem H. Ouwehand

Mean platelet volume (MPV) and platelet count (PLT) are highly heritable and tightly regulated traits. We performed a genome-wide association study for MPV and identified one SNP, rs342293, as having highly significant and reproducible association with MPV (per-G allele effect 0.016 +/- 0.001 log fL; P < 1.08 x 10(-24)) and PLT (per-G effect -4.55 +/- 0.80 10(9)/L; P < 7.19 x 10(-8)) in 8586 healthy subjects. Whole-genome expression analysis in the 1-MB region showed a significant association with platelet transcript levels for PIK3CG (n = 35; P = .047). The G allele at rs342293 was also associated with decreased binding of annexin V to platelets activated with collagen-related peptide (n = 84; P = .003). The region 7q22.3 identifies the first QTL influencing platelet volume, counts, and function in healthy subjects. Notably, the association signal maps to a chromosome region implicated in myeloid malignancies, indicating this site as an important regulatory site for hematopoiesis. The identification of loci regulating MPV by this and other studies will increase our insight in the processes of megakaryopoiesis and proplatelet formation, and it may aid the identification of genes that are somatically mutated in essential thrombocytosis.


Cell | 2016

The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease

William Astle; Heather Elding; Tao Jiang; Dave Allen; Dace Ruklisa; Alice L. Mann; Daniel Mead; Heleen Bouman; Fernando Riveros-Mckay; Myrto Kostadima; John J. Lambourne; Suthesh Sivapalaratnam; Kate Downes; Kousik Kundu; Lorenzo Bomba; Kim Berentsen; John R. Bradley; Louise C. Daugherty; Olivier Delaneau; Kathleen Freson; Stephen F. Garner; Luigi Grassi; Jose A. Guerrero; Matthias Haimel; Eva M. Janssen-Megens; Anita M. Kaan; Mihir Anant Kamat; Bowon Kim; Amit Mandoli; Jonathan Marchini

Summary Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants. This effort yielded hundreds of low frequency (<5%) and rare (<1%) variants with a strong impact on blood cell phenotypes. Our data highlight general properties of the allelic architecture of complex traits, including the proportion of the heritable component of each blood trait explained by the polygenic signal across different genome regulatory domains. Finally, through Mendelian randomization, we provide evidence of shared genetic pathways linking blood cell indices with complex pathologies, including autoimmune diseases, schizophrenia, and coronary heart disease and evidence suggesting previously reported population associations between blood cell indices and cardiovascular disease may be non-causal.


PLOS Genetics | 2011

Multiple Loci Are Associated with White Blood Cell Phenotypes

Michael A. Nalls; David Couper; Toshiko Tanaka; Frank J. A. van Rooij; Ming-Huei Chen; Albert V. Smith; Daniela Toniolo; Neil A. Zakai; Qiong Yang; Andreas Greinacher; Andrew R. Wood; Melissa Garcia; Paolo Gasparini; Yongmei Liu; Thomas Lumley; Aaron R. Folsom; Alex P. Reiner; Christian Gieger; Vasiliki Lagou; Janine F. Felix; Henry Völzke; Natalia Gouskova; Alessandro Biffi; Angela Döring; Uwe Völker; Sean Chong; Kerri L. Wiggins; Augusto Rendon; Abbas Dehghan; Matt Moore

White blood cell (WBC) count is a common clinical measure from complete blood count assays, and it varies widely among healthy individuals. Total WBC count and its constituent subtypes have been shown to be moderately heritable, with the heritability estimates varying across cell types. We studied 19,509 subjects from seven cohorts in a discovery analysis, and 11,823 subjects from ten cohorts for replication analyses, to determine genetic factors influencing variability within the normal hematological range for total WBC count and five WBC subtype measures. Cohort specific data was supplied by the CHARGE, HeamGen, and INGI consortia, as well as independent collaborative studies. We identified and replicated ten associations with total WBC count and five WBC subtypes at seven different genomic loci (total WBC count—6p21 in the HLA region, 17q21 near ORMDL3, and CSF3; neutrophil count—17q21; basophil count- 3p21 near RPN1 and C3orf27; lymphocyte count—6p21, 19p13 at EPS15L1; monocyte count—2q31 at ITGA4, 3q21, 8q24 an intergenic region, 9q31 near EDG2), including three previously reported associations and seven novel associations. To investigate functional relationships among variants contributing to variability in the six WBC traits, we utilized gene expression- and pathways-based analyses. We implemented gene-clustering algorithms to evaluate functional connectivity among implicated loci and showed functional relationships across cell types. Gene expression data from whole blood was utilized to show that significant biological consequences can be extracted from our genome-wide analyses, with effect estimates for significant loci from the meta-analyses being highly corellated with the proximal gene expression. In addition, collaborative efforts between the groups contributing to this study and related studies conducted by the COGENT and RIKEN groups allowed for the examination of effect homogeneity for genome-wide significant associations across populations of diverse ancestral backgrounds.


Blood | 2010

Transcription profiling in human platelets reveals LRRFIP1 as a novel protein regulating platelet function.

Alison H. Goodall; Philippa Burns; Isabelle I. Salles; Iain C. Macaulay; Chris I. Jones; Diego Ardissino; Bernard de Bono; Sarah L. Bray; Hans Deckmyn; Frank Dudbridge; Desmond J. Fitzgerald; Stephen F. Garner; Arief Gusnanto; Kerstin Koch; Cordelia Langford; Marie N. O'Connor; Catherine M. Rice; Derek L. Stemple; Jonathan Stephens; Mieke D. Trip; Jaap-Jan Zwaginga; Nilesh J. Samani; Nicholas A. Watkins; Patricia B. Maguire; Willem H. Ouwehand

Within the healthy population, there is substantial, heritable, and interindividual variability in the platelet response. We explored whether a proportion of this variability could be accounted for by interindividual variation in gene expression. Through a correlative analysis of genome-wide platelet RNA expression data from 37 subjects representing the normal range of platelet responsiveness within a cohort of 500 subjects, we identified 63 genes in which transcript levels correlated with variation in the platelet response to adenosine diphosphate and/or the collagen-mimetic peptide, cross-linked collagen-related peptide. Many of these encode proteins with no reported function in platelets. An association study of 6 of the 63 genes in 4235 cases and 6379 controls showed a putative association with myocardial infarction for COMMD7 (COMM domain-containing protein 7) and a major deviation from the null hypo thesis for LRRFIP1 [leucine-rich repeat (in FLII) interacting protein 1]. Morpholino-based silencing in Danio rerio identified a modest role for commd7 and a significant effect for lrrfip1 as positive regulators of thrombus formation. Proteomic analysis of human platelet LRRFIP1-interacting proteins indicated that LRRFIP1 functions as a component of the platelet cytoskeleton, where it interacts with the actin-remodeling proteins Flightless-1 and Drebrin. Taken together, these data reveal novel proteins regulating the platelet response.


Blood | 2009

Functional genomics in zebrafish permits rapid characterization of novel platelet membrane proteins.

Marie N. O'Connor; Isabelle I. Salles; Ana Cvejic; Nicholas A. Watkins; Adam Walker; Stephen F. Garner; Chris I. Jones; Iain C. Macaulay; Michael Steward; Jaap-Jan Zwaginga; Sarah L. Bray; Frank Dudbridge; Bernard de Bono; Alison H. Goodall; Hans Deckmyn; Derek L. Stemple; Willem H. Ouwehand

In this study, we demonstrate the suitability of the vertebrate Danio rerio (zebrafish) for functional screening of novel platelet genes in vivo by reverse genetics. Comparative transcript analysis of platelets and their precursor cell, the megakaryocyte, together with nucleated blood cell elements, endothelial cells, and erythroblasts, identified novel platelet membrane proteins with hitherto unknown roles in thrombus formation. We determined the phenotype induced by antisense morpholino oligonucleotide (MO)–based knockdown of 5 of these genes in a laser-induced arterial thrombosis model. To validate the model, the genes for platelet glycoprotein (GP) IIb and the coagulation protein factor VIII were targeted. MO-injected fish showed normal thrombus initiation but severely impaired thrombus growth, consistent with the mouse knockout phenotypes, and concomitant knockdown of both resulted in spontaneous bleeding. Knockdown of 4 of the 5 novel platelet proteins altered arterial thrombosis, as demonstrated by modified kinetics of thrombus initiation and/or development. We identified a putative role for BAMBI and LRRC32 in promotion and DCBLD2 and ESAM in inhibition of thrombus formation. We conclude that phenotypic analysis of MO-injected zebrafish is a fast and powerful method for initial screening of novel platelet proteins for function in thrombosis.


Journal of Thrombosis and Haemostasis | 2007

Mapping the platelet profile for functional genomic studies and demonstration of the effect size of the GP6 locus

Chris I. Jones; Stephen F. Garner; W. Angenent; A. Bernard; Carlo Berzuini; Philippa Burns; R. W. Farndale; J. Hogwood; A. Rankin; Jonathan Stephens; Brian D. M. Tom; J. Walton; Frank Dudbridge; Willem H. Ouwehand; Alison H. Goodall

Summary.  Background: Evidence suggests the wide variation in platelet response within the population is genetically controlled. Unraveling the complex relationship between sequence variation and platelet phenotype requires accurate and reproducible measurement of platelet response. Objective: To develop a methodology suitable for measuring signaling pathway‐specific platelet phenotype, to use this to measure platelet response in a large cohort, and to demonstrate the effect size of sequence variation in a relevant model gene. Methods: Three established platelet assays were evaluated: mobilization of [Ca2+]i, aggregometry and flow cytometry, each in response to adenosine 5′‐diphosphate (ADP) or the glycoprotein (GP) VI‐specific crosslinked collagen‐related peptide (CRP). Flow cytometric measurement of fibrinogen binding and P‐selectin expression in response to a single, intermediate dose of each agonist gave the best combination of reproducibility and inter‐individual variability and was used to measure the platelet response in 506 healthy volunteers. Pathway specificity was ensured by blocking the main subsidiary signaling pathways. Results: Individuals were identified who were hypo‐ or hyper‐responders for both pathways, or who had differential responses to the two agonists, or between outcomes. 89 individuals, retested three months later using the same methodology, showed high concordance between the two visits in all four assays (r2 = 0.872, 0.868, 0.766 and 0.549); all subjects retaining their phenotype at recall. The effect of sequence variation at the GP6 locus accounted for ∼35% of the variation in the CRP‐XL response. Conclusion: Genotyping‐phenotype association studies in a well‐characterized, large cohort provides a powerful strategy to measure the effect of sequence variation in genes regulating the platelet response.


British Journal of Haematology | 1987

Heterogeneity of IgG1 monoclonal anti-Rh(D): an investigation using ADCC and macrophage binding assays.

Sylvia S. Armstrong; Edith Wiener; Stephen F. Garner; S.J. Urbaniak; Marcela Contreras

Three monoclonal IgG1 anti‐Rh(D), UCH D4, ARC 7D5 and UKTS FC3, produced by Epstein‐Barr virus transformed cells from Rh(D)‐sensitized individuals, were compared with polyclonal single donor anti‐D sera and therapeutic immunoglobulin preparations in antibody dependent cellular cytotoxicity (ADCC) and macrophage binding tests. When assayed at equal anti‐D concentrations monoclonal antibodies varied considerably in their ADCC and macrophage binding activities: only UKTS FC3 showed significant activity in both assays, but these were substantially lower than those of the polyclonal anti‐D sera and immunoglobulins. When examined in different combinations the monoclonal antibodies showed little synergism in mediating red cell destruction by the effector cells. Factors which might contribute to the diverse ADCC and macrophage binding activities of the monoclonal anti‐Ds of the same IgG subclass are discussed.


Transfusion | 2001

Residual subset population analysis in WBC-reduced blood components using real-time PCR quantitation of specific mRNA

Joanne Pennington; Stephen F. Garner; Janet Sutherland; Lorna M. Williamson

BACKGROUND: Implementation of WBC reduction of the blood supply increases the importance of measurement of residual WBC subtypes responsible for immunologic and infectious complications of transfusion.


Transfusion | 2008

A single-nucleotide polymorphism in the human ITGB3 gene is associated with the platelet-specific alloantigen Vaa (HPA-17bw) involved in fetal maternal alloimmune thrombocytopenia

Prachi Stafford; Stephen F. Garner; Angela Rankin; Riitta Kekomäki; Nicholas A. Watkins; Willem H. Ouwehand

BACKGROUND: The previously reported platelet (PLT)‐specific antigen, Vaa, was defined by an alloantibody detected in the serum sample of a mother who delivered an infant displaying symptoms of severe fetal maternal alloimmune thrombocytopenia (FMAIT). This PLT antigen was localized to the integrin αIIbβ3 (GPIIbIIIa) but its genetic basis was not defined.

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A. Rankin

University of Cambridge

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