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Dive into the research topics where Constantin Ionescu-Tirgoviste is active.

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Featured researches published by Constantin Ionescu-Tirgoviste.


Nature Genetics | 2006

A genome-wide association study of nonsynonymous SNPs identifies a type 1 diabetes locus in the interferon-induced helicase (IFIH1) region.

Deborah J. Smyth; Jason D. Cooper; Rebecca Bailey; Sarah Field; Oliver Burren; Luc J. Smink; Cristian Guja; Constantin Ionescu-Tirgoviste; Barry Widmer; David B. Dunger; David A. Savage; Neil M Walker; David G. Clayton; John A. Todd

In this study we report convincing statistical support for a sixth type 1 diabetes (T1D) locus in the innate immunity viral RNA receptor gene region IFIH1 (also known as mda-5 or Helicard) on chromosome 2q24.3. We found the association in an interim analysis of a genome-wide nonsynonymous SNP (nsSNP) scan, and we validated it in a case-control collection and replicated it in an independent family collection. In 4,253 cases, 5,842 controls and 2,134 parent-child trio genotypes, the risk ratio for the minor allele of the nsSNP rs1990760 A → G (A946T) was 0.86 (95% confidence interval = 0.82–0.90) at P = 1.42 × 10−10.


Diabetologia | 2008

Caesarean section is associated with an increased risk of childhood-onset type 1 diabetes mellitus: a meta-analysis of observational studies

Christopher Cardwell; Lars C. Stene; Geir Joner; Ondrej Cinek; Jannet Svensson; Michael J Goldacre; Roger Parslow; Paolo Pozzilli; Girts Brigis; Denka Stoyanov; Brone Urbonaite; Sandra Sipetic; Edith Schober; Constantin Ionescu-Tirgoviste; Gabriele Devoti; C. De Beaufort; Karsten Buschard; Christopher Patterson

Aims/hypothesisThe aim of this study was to investigate the evidence of an increased risk of childhood-onset type 1 diabetes in children born by Caesarean section by systematically reviewing the published literature and performing a meta-analysis with adjustment for recognised confounders.MethodsAfter MEDLINE, Web of Science and EMBASE searches, crude ORs and 95% CIs for type 1 diabetes in children born by Caesarean section were calculated from the data reported in each study. Authors were contacted to facilitate adjustments for potential confounders, either by supplying raw data or calculating adjusted estimates. Meta-analysis techniques were then used to derive combined ORs and to investigate heterogeneity between studies.ResultsTwenty studies were identified. Overall, there was a significant increase in the risk of type 1 diabetes in children born by Caesarean section (OR 1.23, 95% CI 1.15–1.32, p < 0.001). There was little evidence of heterogeneity between studies (p = 0.54). Seventeen authors provided raw data or adjusted estimates to facilitate adjustments for potential confounders. In these studies, there was evidence of an increase in diabetes risk with greater birthweight, shorter gestation and greater maternal age. The increased risk of type 1 diabetes after Caesarean section was little altered after adjustment for gestational age, birth weight, maternal age, birth order, breast-feeding and maternal diabetes (adjusted OR 1.19, 95% CI 1.04–1.36, p = 0.01).Conclusions/interpretationThis analysis demonstrates a 20% increase in the risk of childhood-onset type 1 diabetes after Caesarean section delivery that cannot be explained by known confounders.


Diabetologia | 2012

Trends in childhood type 1 diabetes incidence in Europe during 1989–2008: evidence of non-uniformity over time in rates of increase

Christopher Patterson; Éva Gyürüs; Joachim Rosenbauer; Ondrej Cinek; Andreas Neu; Edith Schober; Roger Parslow; Geir Joner; Jannet Svensson; C. Castell; Polly J. Bingley; E. J. Schoenle; Przemysława Jarosz-Chobot; Brone Urbonaite; Ulrike Rothe; C. Krzisnik; Constantin Ionescu-Tirgoviste; Ilse Weets; Mirjana Kocova; Gordana Stipancic; Mira Samardzic; C. De Beaufort; Anders Green; Gisela Dahlquist; Gyula Soltész

Aims/hypothesisThe aim of the study was to describe 20-year incidence trends for childhood type 1 diabetes in 23 EURODIAB centres and compare rates of increase in the first (1989–1998) and second (1999–2008) halves of the period.MethodsAll registers operate in geographically defined regions and are based on a clinical diagnosis. Completeness of registration is assessed by capture–recapture methodology. Twenty-three centres in 19 countries registered 49,969 new cases of type 1 diabetes in individuals diagnosed before their 15th birthday during the period studied.ResultsAscertainment exceeded 90% in most registers. During the 20-year period, all but one register showed statistically significant changes in incidence, with rates universally increasing. When estimated separately for the first and second halves of the period, the median rates of increase were similar: 3.4% per annum and 3.3% per annum, respectively. However, rates of increase differed significantly between the first half and the second half for nine of the 21 registers with adequate coverage of both periods; five registers showed significantly higher rates of increase in the first half, and four significantly higher rates in the second half.Conclusions/interpretationThe incidence rate of childhood type 1 diabetes continues to rise across Europe by an average of approximately 3–4% per annum, but the increase is not necessarily uniform, showing periods of less rapid and more rapid increase in incidence in some registers. This pattern of change suggests that important risk exposures differ over time in different European countries. Further time trend analysis and comparison of the patterns in defined regions is warranted.


Nature Genetics | 2002

Parameters for reliable results in genetic association studies in common disease

Ingrid Dahlman; Iain A. Eaves; Roman Kosoy; V. Anne Morrison; Joanne M. Heward; S. C. L. Gough; Amit Allahabadia; Jayne A. Franklyn; Jaakko Tuomilehto; Eva Tuomilehto-Wolf; Francesco Cucca; Cristian Guja; Constantin Ionescu-Tirgoviste; Helen Stevens; Philippa Carr; Sarah Nutland; Patricia A. McKinney; Julian Shield; W. Wang; Heather J. Cordell; Neil M Walker; John A. Todd; Patrick Concannon

It is increasingly apparent that the identification of true genetic associations in common multifactorial disease will require studies comprising thousands rather than the hundreds of individuals employed to date. Using 2,873 families, we were unable to confirm a recently published association of the interleukin 12B gene in 422 type I diabetic families. These results emphasize the need for large datasets, small P values and independent replication if results are to be reliable.


Nature Genetics | 2005

Assessing the validity of the association between the SUMO4 M55V variant and risk of type 1 diabetes

Deborah J Smyth; Joanna M M Howson; Christopher E. Lowe; Neil M Walker; Alex C. Lam; Sarah Nutland; Jayne Hutchings; Eva Tuomilehto-Wolf; Jaakko Tuomilehto; Cristian Guja; Constantin Ionescu-Tirgoviste; Dag E. Undlien; Kjersti S. Rønningen; David B. Savage; David B. Dunger; Rebecca C.J. Twells; Wendy L. McArdle; David P. Strachan; John A. Todd

Assessing the validity of the association between the SUMO4 M55V variant and risk of type 1 diabetes


Genes and Immunity | 2004

Cost-effective analysis of candidate genes using htSNPs: a staged approach

Christopher E. Lowe; Jason D. Cooper; Juliet Chapman; Bryan J. Barratt; Rebecca C.J. Twells; E A Green; David A. Savage; Cristian Guja; Constantin Ionescu-Tirgoviste; E Tuomilehto-Wolf; Jaakko Tuomilehto; John A. Todd; David G. Clayton

We have previously shown that the selection of haplotype tag single nucleotide polymorphisms (htSNPs) and their statistical analysis in a multi-locus transmission/disequilibrium test (TDT) results in a more cost-effective genotyping strategy in disease association studies of genes by minimising redundancy due to linkage disequilibrium between SNPs. Further savings can be achieved by the use of a two-stage genotyping strategy. This approach is illustrated here in conjunction with the multi-locus TDT in determining whether common alleles of the immune regulatory genes RANK and its ligand TRANCE (RANKL) are associated with type 1 diabetes (T1D). A saving of approximately 75% of potential genotyping reactions could be made with minimal loss of power. There was little evidence from our analysis for association between the TRANCE and RANK genes and T1D in the populations tested.


Diabetes Care | 2012

Breast-Feeding and Childhood-Onset Type 1 Diabetes: A pooled analysis of individual participant data from 43 observational studies

Christopher Cardwell; Lars C. Stene; Johnny Ludvigsson; Joachim Rosenbauer; Ondrej Cinek; Jannet Svensson; Francisco Pérez-Bravo; Anjum Memon; Suely Godoy Agostinho Gimeno; Emma Jane Kirsty Wadsworth; Elsa S. Strotmeyer; Michael J Goldacre; Katja Radon; Lee-Ming Chuang; Roger Parslow; Amanda G. Chetwynd; Kyriaki Karavanaki; Girts Brigis; Paolo Pozzilli; Brone Urbonaite; Edith Schober; Gabriele Devoti; Sandra Sipetic; Geir Joner; Constantin Ionescu-Tirgoviste; Carine De Beaufort; Kirsten Harrild; Victoria S. Benson; Erkki Savilahti; Anne-Louise Ponsonby

OBJECTIVE To investigate if there is a reduced risk of type 1 diabetes in children breastfed or exclusively breastfed by performing a pooled analysis with adjustment for recognized confounders. RESEARCH DESIGN AND METHODS Relevant studies were identified from literature searches using MEDLINE, Web of Science, and EMBASE. Authors of relevant studies were asked to provide individual participant data or conduct prespecified analyses. Meta-analysis techniques were used to combine odds ratios (ORs) and investigate heterogeneity between studies. RESULTS Data were available from 43 studies including 9,874 patients with type 1 diabetes. Overall, there was a reduction in the risk of diabetes after exclusive breast-feeding for >2 weeks (20 studies; OR = 0.75, 95% CI 0.64–0.88), the association after exclusive breast-feeding for >3 months was weaker (30 studies; OR = 0.87, 95% CI 0.75–1.00), and no association was observed after (nonexclusive) breast-feeding for >2 weeks (28 studies; OR = 0.93, 95% CI 0.81–1.07) or >3 months (29 studies; OR = 0.88, 95% CI 0.78–1.00). These associations were all subject to marked heterogeneity (I2 = 58, 76, 54, and 68%, respectively). In studies with lower risk of bias, the reduced risk after exclusive breast-feeding for >2 weeks remained (12 studies; OR = 0.86, 95% CI 0.75–0.99), and heterogeneity was reduced (I2 = 0%). Adjustments for potential confounders altered these estimates very little. CONCLUSIONS The pooled analysis suggests weak protective associations between exclusive breast-feeding and type 1 diabetes risk. However, these findings are difficult to interpret because of the marked variation in effect and possible biases (particularly recall bias) inherent in the included studies.


Diabetes | 2010

Maternal Age at Birth and Childhood Type 1 Diabetes: A Pooled Analysis of 30 Observational Studies

Christopher Cardwell; Lars C. Stene; Geir Joner; Max Bulsara; Ondrej Cinek; Joachim Rosenbauer; Johnny Ludvigsson; Mireia Jané; Jannet Svensson; Michael J Goldacre; Thomas Waldhoer; Przemysława Jarosz-Chobot; Suely Godoy Agostinho Gimeno; Lee-Ming Chuang; Roger Parslow; Emma Jane Kirsty Wadsworth; Amanda G. Chetwynd; Paolo Pozzilli; Girts Brigis; Brone Urbonaitė; Sandra Sipetic; Edith Schober; Gabriele Devoti; Constantin Ionescu-Tirgoviste; Carine De Beaufort; Denka Stoyanov; Karsten Buschard; Christopher Patterson

OBJECTIVE The aim if the study was to investigate whether children born to older mothers have an increased risk of type 1 diabetes by performing a pooled analysis of previous studies using individual patient data to adjust for recognized confounders. RESEARCH DESIGN AND METHODS Relevant studies published before June 2009 were identified from MEDLINE, Web of Science, and EMBASE. Authors of studies were contacted and asked to provide individual patient data or conduct prespecified analyses. Risk estimates of type 1 diabetes by maternal age were calculated for each study, before and after adjustment for potential confounders. Meta-analysis techniques were used to derive combined odds ratios and to investigate heterogeneity among studies. RESULTS Data were available for 5 cohort and 25 case-control studies, including 14,724 cases of type 1 diabetes. Overall, there was, on average, a 5% (95% CI 2–9) increase in childhood type 1 diabetes odds per 5-year increase in maternal age (P = 0.006), but there was heterogeneity among studies (heterogeneity I2 = 70%). In studies with a low risk of bias, there was a more marked increase in diabetes odds of 10% per 5-year increase in maternal age. Adjustments for potential confounders little altered these estimates. CONCLUSIONS There was evidence of a weak but significant linear increase in the risk of childhood type 1 diabetes across the range of maternal ages, but the magnitude of association varied between studies. A very small percentage of the increase in the incidence of childhood type 1 diabetes in recent years could be explained by increases in maternal age.


The Lancet | 2003

Association of intercellular adhesion molecule-1 gene with type 1 diabetes

Sergey Nejentsev; Cristian Guja; Rose McCormack; Jason D. Cooper; Joanna M. M. Howson; Sarah Nutland; Helen Rance; Neil M Walker; Dag E. Undlien; Kjersti S. Rønningen; Eva Tuomilehto-Wolf; Jaakko Tuomilehto; Constantin Ionescu-Tirgoviste; Edwin A M Gale; Polly J. Bingley; Kathleen M. Gillespie; David A. Savage; Dennis Carson; Christopher Patterson; A. Peter Maxwell; John A. Todd

Intercellular adhesion molecule-1 (ICAM-1) functions via its ligands, the leucocyte integrins, in adhesion of immune cells to endothelial cells and in T cell activation. The third immunoglobulin-like extracellular domain binds integrin Mac-1 and contains a common non-conservative aminoacid polymorphism, G241R. Phenotypically, ICAM-1 has been associated with type 1 diabetes, a T-cell-mediated autoimmune disease. We assessed two independent datasets, and noted that R241 was associated with lower risk of type 1 diabetes than is G241 (3695 families, relative risk 0.91, p=0.03; 446 families, 0.60, p=0.006). Our data indicate an aetiological role for ICAM-1 in type 1 diabetes, which needs to be confirmed in future genetic and functional experiments.


Journal of Cellular and Molecular Medicine | 2002

The study of CTLA-4 and vitamin D receptor polymorphisms in the Romanian type 1 diabetes population

Cristian Guja; Sara E. Marshall; Kenneth I. Welsh; M. Merriman; A. Smith; John A. Todd; Constantin Ionescu-Tirgoviste

Several studies suggested that part of the genetic susceptibility for Type 1 diabetes (TIDM) is encoded by some polymorphisms of CTLA‐4 gene (2q33) and of Vitamin D Receptor gene (VDR; 12q12‐14). Our aim was to assess their contribution to TIDM genetic susceptibility in the Romanian population. We typed CTLA‐4 49 A/G and VDR FokI (F/f), ApaI (A/a) and TaqI (T/t) polymorphisms by Sequence Specific Primer PCR (SSP‐PCR) in 204 Romanian diabetic families (756 individuals: 212 TIDM probands and 544 unaffected parents and siblings). We studied alleles transmission using the Transmission Disequilibrium Test (TDT). We found an increased transmission of CTLA‐4 49G allele to diabetics (54.8%, p=0.11). The transmission of F (56.1%, p=0.063), a (55.7%, p=0.061) and T (51.8%, p=0.37) alleles of VDR gene to diabetics was increased but did not reach statistical significance. In conclusion we found the same increased transmission of CTLA‐4 49 G allele to diabetics as previously reported. VDR FoqI F allele seems to be predisposing while TaqI T allele seems to be protective.

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Cristian Guja

Carol Davila University of Medicine and Pharmacy

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John A. Todd

Wellcome Trust Centre for Human Genetics

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Helen Rance

University of Cambridge

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Edith Schober

Medical University of Vienna

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