Jennifer Jolley
University of Cambridge
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Publication
Featured researches published by Jennifer Jolley.
Nature Communications | 2015
Beben Benyamin; Tonu Esko; Janina S. Ried; Aparna Radhakrishnan; Sita H. Vermeulen; Michela Traglia; Martin Goegele; Denise Anderson; Linda Broer; Clara Podmore; Jian'an Luan; Zoltán Kutalik; Serena Sanna; Peter van der Meer; Toshiko Tanaka; Fudi Wang; Harm-Jan Westra; Lude Franke; Evelin Mihailov; Lili Milani; Jonas Haelldin; Juliane Winkelmann; Thomas Meitinger; Joachim Thiery; Annette Peters; Melanie Waldenberger; Augusto Rendon; Jennifer Jolley; Jennifer Sambrook; Lambertus A. Kiemeney
Corrigendum: Novel loci affecting iron homeostasis and their effects in individuals at risk for hemochromatosis
Nature Genetics | 2012
Cornelis A. Albers; Dirk S. Paul; Harald Schulze; Kathleen Freson; Jonathan Stephens; Peter A. Smethurst; Jennifer Jolley; Ana Cvejic; Myrto Kostadima; Paul Bertone; Martijn H. Breuning; Najet Debili; Panos Deloukas; Rémi Favier; Janine Fiedler; Catherine M. Hobbs; Ni Huang; Graham Kiddle; Ingrid P. C. Krapels; Paquita Nurden; Claudia Ruivenkamp; Jennifer Sambrook; Kenneth Smith; Derek L. Stemple; Gabriele Strauss; Chantal Thys; Christel Van Geet; Ruth Newbury-Ecob; Willem H. Ouwehand; Cedric Ghevaert
The exon-junction complex (EJC) performs essential RNA processing tasks. Here, we describe the first human disorder, thrombocytopenia with absent radii (TAR), caused by deficiency in one of the four EJC subunits. Compound inheritance of a rare null allele and one of two low-frequency SNPs in the regulatory regions of RBM8A, encoding the Y14 subunit of EJC, causes TAR. We found that this inheritance mechanism explained 53 of 55 cases (P < 5 × 10−228) of the rare congenital malformation syndrome. Of the 53 cases with this inheritance pattern, 51 carried a submicroscopic deletion of 1q21.1 that has previously been associated with TAR, and two carried a truncation or frameshift null mutation in RBM8A. We show that the two regulatory SNPs result in diminished RBM8A transcription in vitro and that Y14 expression is reduced in platelets from individuals with TAR. Our data implicate Y14 insufficiency and, presumably, an EJC defect as the cause of TAR syndrome.
Blood | 2009
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.
Genome Medicine | 2015
Sarah K. Westbury; Ernest Turro; Daniel Greene; Claire Lentaigne; Anne M. Kelly; Tadbir K. Bariana; Ilenia Simeoni; Xavier Pillois; Antony P. Attwood; Steve Austin; Sjoert B. G. Jansen; Tamam Bakchoul; Abi Crisp-Hihn; Wendy N. Erber; Rémi Favier; Nicola S. Foad; Michael Gattens; Jennifer Jolley; Ri Liesner; Stuart Meacham; Carolyn M. Millar; Alan T. Nurden; Kathelijne Peerlinck; David J. Perry; Pawan Poudel; Sol Schulman; Harald Schulze; Jonathan Stephens; Bruce Furie; Peter N. Robinson
BackgroundHeritable bleeding and platelet disorders (BPD) are heterogeneous and frequently have an unknown genetic basis. The BRIDGE-BPD study aims to discover new causal genes for BPD by high throughput sequencing using cluster analyses based on improved and standardised deep, multi-system phenotyping of cases.MethodsWe report a new approach in which the clinical and laboratory characteristics of BPD cases are annotated with adapted Human Phenotype Ontology (HPO) terms. Cluster analyses are then used to characterise groups of cases with similar HPO terms and variants in the same genes.ResultsWe show that 60% of index cases with heritable BPD enrolled at 10 European or US centres were annotated with HPO terms indicating abnormalities in organ systems other than blood or blood-forming tissues, particularly the nervous system. Cases within pedigrees clustered closely together on the bases of their HPO-coded phenotypes, as did cases sharing several clinically suspected syndromic disorders. Cases subsequently found to harbour variants in ACTN1 also clustered closely, even though diagnosis of this recently described disorder was not possible using only the clinical and laboratory data available to the enrolling clinician.ConclusionsThese findings validate our novel HPO-based phenotype clustering methodology for known BPD, thus providing a new discovery tool for BPD of unknown genetic basis. This approach will also be relevant for other rare diseases with significant genetic heterogeneity.
Blood | 2016
Ilenia Simeoni; Jonathan Stephens; Fengyuan Hu; Sri V.V. Deevi; Karyn Megy; Tadbir K. Bariana; Claire Lentaigne; Sol Schulman; Suthesh Sivapalaratnam; Minka J.A. Vries; Sarah K. Westbury; Daniel Greene; Sofia Papadia; Marie Christine Alessi; Antony P. Attwood; Matthias Ballmaier; Gareth Baynam; Emilse Bermejo; Marta Bertoli; Paul F. Bray; Loredana Bury; Marco Cattaneo; Peter William Collins; Louise C. Daugherty; Rémi Favier; Deborah L. French; Bruce Furie; Michael Gattens; Manuela Germeshausen; Cedric Ghevaert
Inherited bleeding, thrombotic, and platelet disorders (BPDs) are diseases that affect ∼300 individuals per million births. With the exception of hemophilia and von Willebrand disease patients, a molecular analysis for patients with a BPD is often unavailable. Many specialized tests are usually required to reach a putative diagnosis and they are typically performed in a step-wise manner to control costs. This approach causes delays and a conclusive molecular diagnosis is often never reached, which can compromise treatment and impede rapid identification of affected relatives. To address this unmet diagnostic need, we designed a high-throughput sequencing platform targeting 63 genes relevant for BPDs. The platform can call single nucleotide variants, short insertions/deletions, and large copy number variants (though not inversions) which are subjected to automated filtering for diagnostic prioritization, resulting in an average of 5.34 candidate variants per individual. We sequenced 159 and 137 samples, respectively, from cases with and without previously known causal variants. Among the latter group, 61 cases had clinical and laboratory phenotypes indicative of a particular molecular etiology, whereas the remainder had an a priori highly uncertain etiology. All previously detected variants were recapitulated and, when the etiology was suspected but unknown or uncertain, a molecular diagnosis was reached in 56 of 61 and only 8 of 76 cases, respectively. The latter category highlights the need for further research into novel causes of BPDs. The ThromboGenomics platform thus provides an affordable DNA-based test to diagnose patients suspected of having a known inherited BPD.
Diabetes | 2008
Sarah Field; Sergey Nejentsev; Neil Walker; Joanna M. M. Howson; Lisa Godfrey; Jennifer Jolley; Matthew Hardy; John A. Todd
OBJECTIVE— The nonclassical major histocompatibility complex (MHC) class I chain-related molecules (MICs), encoded within the MHC, function in immunity. The transmembrane polymorphism in MICA (MICA-STR) has been reported to be associated with type 1 diabetes. In this study, we directly sequenced both of the highly polymorphic MIC genes (MICA and MICB) in order to establish whether they are associated with type 1 diabetes independently of the known type 1 diabetes MHC class II genes HLA-DRB1 and HLA-DQB1. RESEARCH DESIGN AND METHODS— We developed a sequencing-based typing method and genotyped MICA and MICB in 818 families (2,944 individuals) with type 1 diabetes from the U.K. and U.S. (constructing the genotype from single nucleotide polymorphisms in exons 2–4 of MICA and 2–5 of MICB) and additionally genotyped the MICA-STR in 2,023 type 1 diabetic case subjects and 1,748 control subjects from the U.K. We analyzed the association of the MICA and MICB alleles and genotypes with type 1 diabetes using regression methods. RESULTS— We identified known MICA and MICB alleles and discovered four new MICB alleles. Based on this large-scale and detailed genotype data, we found no evidence for association of MICA and MICB with type 1 diabetes independently of the MHC class II genes (MICA P = 0.08, MICA-STR P = 0.76, MICB P = 0.03, after conditioning on HLA-DRB1 and HLA-DQB1). CONCLUSIONS— Common MICA and MICB genetic variations including the MICA-STR are not associated, in a primary way, with susceptibility to type 1 diabetes.
PLOS ONE | 2012
Jonas Carlsson Almlöf; Per Lundmark; Anders Lundmark; Bing Ge; Seraya Maouche; Harald H H Göring; Ulrika Liljedahl; Camilla Enström; Jessy Brocheton; Carole Proust; Tiphaine Godefroy; Jennifer Sambrook; Jennifer Jolley; Abigail Crisp-Hihn; Nicola S. Foad; Heather Lloyd-Jones; Jonathan Stephens; Rhian Gwilliam; Catherine M. Rice; Christian Hengstenberg; Nilesh J. Samani; Jeanette Erdmann; Heribert Schunkert; Tomi Pastinen; Panos Deloukas; Alison H. Goodall; Willem H. Ouwehand; François Cambien; Ann-Christine Syvänen
A large number of genome-wide association studies have been performed during the past five years to identify associations between SNPs and human complex diseases and traits. The assignment of a functional role for the identified disease-associated SNP is not straight-forward. Genome-wide expression quantitative trait locus (eQTL) analysis is frequently used as the initial step to define a function while allele-specific gene expression (ASE) analysis has not yet gained a wide-spread use in disease mapping studies. We compared the power to identify cis-acting regulatory SNPs (cis-rSNPs) by genome-wide allele-specific gene expression (ASE) analysis with that of traditional expression quantitative trait locus (eQTL) mapping. Our study included 395 healthy blood donors for whom global gene expression profiles in circulating monocytes were determined by Illumina BeadArrays. ASE was assessed in a subset of these monocytes from 188 donors by quantitative genotyping of mRNA using a genome-wide panel of SNP markers. The performance of the two methods for detecting cis-rSNPs was evaluated by comparing associations between SNP genotypes and gene expression levels in sample sets of varying size. We found that up to 8-fold more samples are required for eQTL mapping to reach the same statistical power as that obtained by ASE analysis for the same rSNPs. The performance of ASE is insensitive to SNPs with low minor allele frequencies and detects a larger number of significantly associated rSNPs using the same sample size as eQTL mapping. An unequivocal conclusion from our comparison is that ASE analysis is more sensitive for detecting cis-rSNPs than standard eQTL mapping. Our study shows the potential of ASE mapping in tissue samples and primary cells which are difficult to obtain in large numbers.
Blood | 2016
Ilenia Simeoni; Jonathan Stephens; Fengyuan Hu; Sri V.V. Deevi; Karyn Megy; Tadbir K. Bariana; Claire Lentaigne; Sol Schulman; Suthesh Sivapalaratnam; Minka J.A. Vries; Sarah K. Westbury; Daniel Greene; Sofia Papadia; Marie-Christine Alessi; Antony P. Attwood; Matthias Ballmaier; Gareth Baynam; Emilse Bermejo; Marta Bertoli; Paul F. Bray; Loredana Bury; Marco Cattaneo; Peter William Collins; Louise C. Daugherty; Rémi Favier; Deborah L. French; Bruce Furie; Michael Gattens; Manuela Germeshausen; Cedric Ghevaert
Inherited bleeding, thrombotic, and platelet disorders (BPDs) are diseases that affect ∼300 individuals per million births. With the exception of hemophilia and von Willebrand disease patients, a molecular analysis for patients with a BPD is often unavailable. Many specialized tests are usually required to reach a putative diagnosis and they are typically performed in a step-wise manner to control costs. This approach causes delays and a conclusive molecular diagnosis is often never reached, which can compromise treatment and impede rapid identification of affected relatives. To address this unmet diagnostic need, we designed a high-throughput sequencing platform targeting 63 genes relevant for BPDs. The platform can call single nucleotide variants, short insertions/deletions, and large copy number variants (though not inversions) which are subjected to automated filtering for diagnostic prioritization, resulting in an average of 5.34 candidate variants per individual. We sequenced 159 and 137 samples, respectively, from cases with and without previously known causal variants. Among the latter group, 61 cases had clinical and laboratory phenotypes indicative of a particular molecular etiology, whereas the remainder had an a priori highly uncertain etiology. All previously detected variants were recapitulated and, when the etiology was suspected but unknown or uncertain, a molecular diagnosis was reached in 56 of 61 and only 8 of 76 cases, respectively. The latter category highlights the need for further research into novel causes of BPDs. The ThromboGenomics platform thus provides an affordable DNA-based test to diagnose patients suspected of having a known inherited BPD.
PLOS ONE | 2014
Stephanie Maiwald; Suthesh Sivapalaratnam; Mahdi M. Motazacker; Julian C. van Capelleveen; Ilze Bot; Saskia C. de Jager; Miranda van Eck; Jennifer Jolley; Johan Kuiper; Jonathon Stephens; Cornelius A. Albers; C. Ruben Vosmeer; Heleen Kruize; Daan P. Geerke; Allard C. van der Wal; Chris M. van der Loos; John J. P. Kastelein; Mieke D. Trip; Willem H. Ouwehand; Geesje M. Dallinga-Thie; G. Kees Hovingh
Aims Genetic factors explain a proportion of the inter-individual variation in the risk for atherosclerotic events, but the genetic basis of atherosclerosis and atherothrombosis in families with Mendelian forms of premature atherosclerosis is incompletely understood. We set out to unravel the molecular pathology in a large kindred with an autosomal dominant inherited form of premature atherosclerosis. Methods and Results Parametric linkage analysis was performed in a pedigree comprising 4 generations, of which a total of 11 members suffered from premature vascular events. A parametric LOD-score of 3.31 was observed for a 4.4 Mb interval on chromosome 12. Upon sequencing, a non-synonymous variant in KERA (c.920C>G; p.Ser307Cys) was identified. The variant was absent from nearly 28,000 individuals, including 2,571 patients with premature atherosclerosis. KERA, a proteoglycan protein, was expressed in lipid-rich areas of human atherosclerotic lesions, but not in healthy arterial specimens. Moreover, KERA expression in plaques was significantly associated with plaque size in a carotid-collar Apoe−/− mice (r2 = 0.69; p<0.0001). Conclusion A rare variant in KERA was identified in a large kindred with premature atherosclerosis. The identification of KERA in atherosclerotic plaque specimen in humans and mice lends support to its potential role in atherosclerosis.
Blood | 2016
Ilenia Simeoni; Jonathan Stephens; Fengyuan Hu; Sri V.V. Deevi; Karyn Megy; Tadbir K. Bariana; Claire Lentaigne; Sol Schulman; Suthesh Sivapalaratnam; Minka J.A. Vries; Sarah K. Westbury; Daniel Greene; Sofia Papadia; Marie-Christine Alessi; Antony P. Attwood; Matthias Ballmaier; Gareth Baynam; Emilse Bermejo; Marta Bertoli; Paul F. Bray; Loredana Bury; Marco Cattaneo; Peter William Collins; Louise C. Daugherty; Rémi Favier; Deborah L. French; Bruce Furie; Michael Gattens; Manuela Germeshausen; Cedric Ghevaert
Inherited bleeding, thrombotic, and platelet disorders (BPDs) are diseases that affect ∼300 individuals per million births. With the exception of hemophilia and von Willebrand disease patients, a molecular analysis for patients with a BPD is often unavailable. Many specialized tests are usually required to reach a putative diagnosis and they are typically performed in a step-wise manner to control costs. This approach causes delays and a conclusive molecular diagnosis is often never reached, which can compromise treatment and impede rapid identification of affected relatives. To address this unmet diagnostic need, we designed a high-throughput sequencing platform targeting 63 genes relevant for BPDs. The platform can call single nucleotide variants, short insertions/deletions, and large copy number variants (though not inversions) which are subjected to automated filtering for diagnostic prioritization, resulting in an average of 5.34 candidate variants per individual. We sequenced 159 and 137 samples, respectively, from cases with and without previously known causal variants. Among the latter group, 61 cases had clinical and laboratory phenotypes indicative of a particular molecular etiology, whereas the remainder had an a priori highly uncertain etiology. All previously detected variants were recapitulated and, when the etiology was suspected but unknown or uncertain, a molecular diagnosis was reached in 56 of 61 and only 8 of 76 cases, respectively. The latter category highlights the need for further research into novel causes of BPDs. The ThromboGenomics platform thus provides an affordable DNA-based test to diagnose patients suspected of having a known inherited BPD.