Michela Traglia
Vita-Salute San Raffaele University
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Featured researches published by Michela Traglia.
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
PLOS Genetics | 2014
Jared O'Connell; Deepti Gurdasani; Olivier Delaneau; Nicola Pirastu; Sheila Ulivi; Massimiliano Cocca; Michela Traglia; Jie Huang; Jennifer E. Huffman; Igor Rudan; Ruth McQuillan; Ross M. Fraser; Harry Campbell; Ozren Polasek; Gershim Asiki; Kenneth Ekoru; Caroline Hayward; Alan F. Wright; Veronique Vitart; Pau Navarro; Jean-François Zagury; James F. Wilson; Daniela Toniolo; Paolo Gasparini; Nicole Soranzo; Manjinder S. Sandhu; Jonathan Marchini
Many existing cohorts contain a range of relatedness between genotyped individuals, either by design or by chance. Haplotype estimation in such cohorts is a central step in many downstream analyses. Using genotypes from six cohorts from isolated populations and two cohorts from non-isolated populations, we have investigated the performance of different phasing methods designed for nominally ‘unrelated’ individuals. We find that SHAPEIT2 produces much lower switch error rates in all cohorts compared to other methods, including those designed specifically for isolated populations. In particular, when large amounts of IBD sharing is present, SHAPEIT2 infers close to perfect haplotypes. Based on these results we have developed a general strategy for phasing cohorts with any level of implicit or explicit relatedness between individuals. First SHAPEIT2 is run ignoring all explicit family information. We then apply a novel HMM method (duoHMM) to combine the SHAPEIT2 haplotypes with any family information to infer the inheritance pattern of each meiosis at all sites across each chromosome. This allows the correction of switch errors, detection of recombination events and genotyping errors. We show that the method detects numbers of recombination events that align very well with expectations based on genetic maps, and that it infers far fewer spurious recombination events than Merlin. The method can also detect genotyping errors and infer recombination events in otherwise uninformative families, such as trios and duos. The detected recombination events can be used in association scans for recombination phenotypes. The method provides a simple and unified approach to haplotype estimation, that will be of interest to researchers in the fields of human, animal and plant genetics.
PLOS ONE | 2013
Ginevra Biino; Iolanda Santimone; Cosetta Minelli; Rossella Sorice; Bruno Frongia; Michela Traglia; Sheila Ulivi; Augusto Di Castelnuovo; Martin Gögele; Teresa Nutile; Marcella Francavilla; Cinzia Sala; Nicola Pirastu; C. Cerletti; Licia Iacoviello; Paolo Gasparini; Daniela Toniolo; Marina Ciullo; Peter P. Pramstaller; Mario Pirastu; Giovanni de Gaetano; Carlo L. Balduini
Background and Objectives Although several studies demonstrated that platelet count is higher in women, decreases with age, and is influenced by genetic background, most clinical laboratories still use the reference interval 150–400×109 platelets/L for all subjects. The present study was to identify age- and sex-specific reference intervals for platelet count. Methods We analysed electronic records of subjects enrolled in three population-based studies that investigated inhabitants of seven Italian areas including six geographic isolates. After exclusion of patients with malignancies, liver diseases, or inherited thrombocytopenias, which could affect platelet count, reference intervals were estimated from 40,987 subjects with the non parametric method computing the 2.5° and 97.5° percentiles. Results Platelet count was similar in men and women until the age of 14, but subsequently women had steadily more platelets than men. The number of platelets decreases quickly in childhood, stabilizes in adulthood, and further decreases in oldness. The final result of this phenomenon is that platelet count in old age was reduced by 35% in men and by 25% in women compared with early infancy. Based on these findings, we estimated reference intervals for platelet count ×109/L in children (176–452), adult men (141–362), adult women (156–405), old men (122–350) and, old women (140–379). Moreover, we calculated an “extended” reference interval that takes into account the differences in platelet count observed in different geographic areas. Conclusions The age-, sex-, and origin-related variability of platelet count is very wide, and the patient-adapted reference intervals we propose change the thresholds for diagnosing both thrombocytopenia and thrombocytosis in Italy.
Blood | 2011
Antonella Nai; Alessia Pagani; Laura Silvestri; Natascia Campostrini; Michela Corbella; Domenico Girelli; Michela Traglia; Daniela Toniolo; Clara Camaschella
The iron hormone hepcidin is inhibited by matriptase-2 (MT2), a liver serine protease encoded by the TMPRSS6 gene. Cleaving the bone morphogenetic protein (BMP) coreceptor hemojuvelin (HJV), MT2 impairs the BMP/son of mothers against decapentaplegic homologs (SMAD) signaling pathway, down-regulates hepcidin, and facilitates iron absorption. TMPRSS6 inactivation causes iron-deficiency anemia refractory to iron administration both in humans and mice. Genome-wide association studies have shown that the SNP rs855791, which causes the MT2 V736A amino acid substitution, is associated with variations of serum iron, transferrin saturation, hemoglobin, and erythrocyte traits. In the present study, we show that, in vitro, MT2 736(A) inhibits hepcidin more efficiently than 736(V). Moreover, in a genotyped population, after exclusion of samples with iron deficiency and inflammation, hepcidin, hepcidin/transferrin saturation, and hepcidin/ferritin ratios were significantly lower and iron parameters were consistently higher in homozygotes 736(A) than in 736(V). Our results indicate that rs855791 is a TMPRSS6 functional variant and strengthen the idea that even a partial inability to modulate hepcidin influences iron parameters and, indirectly, erythropoiesis.
Journal of Medical Genetics | 2011
Michela Traglia; Domenico Girelli; Ginevra Biino; Natascia Campostrini; Michela Corbella; Cinzia Sala; Corrado Masciullo; Fiammetta Viganò; Iwan Buetti; Giorgio Pistis; Massimiliano Cocca; Clara Camaschella; Daniela Toniolo
Background Hepcidin is the main regulator of iron homeostasis: inappropriate production of hepcidin results in iron overload or iron deficiency and anaemia. Aims To study variation of serum hepcidin concentration in a normal population. Results Hepcidin showed age and sex dependent variations that correlated with ferritin but not with serum iron and transferrin saturation. The size of the study population was underpowered to find genome wide significant associations with hepcidin concentrations but it allowed to show that association with serum iron, transferrin saturation and erythrocyte traits of common DNA variants in HFE (rs1800562) and TMPRSS6 (rs855791) genes is not exclusively dependent on hepcidin values. When multiple interactions between environmental factors, the iron parameters and hepcidin were taken into account, the HFE variant, and to lesser extent the TMPRSS6 variant, were associated with ferritin and with hepcidin normalised to ferritin (the hepcidin/ferritin ratio). Conclusions The results suggest a mutual control of serum hepcidin and ferritin concentrations, a mechanism relevant to the pathophysiology of HFE haemochromatosis, and demonstrate that the HFE rs1800562 C282Y variant exerts a direct pleiotropic effect on the iron parameters, in part independent of hepcidin.
PLOS ONE | 2012
Nicola Martinelli; Michela Traglia; Natascia Campostrini; Ginevra Biino; Michela Corbella; Cinzia Sala; Fabiana Busti; Corrado Masciullo; Daniele Manna; Sara Previtali; Annalisa Castagna; Giorgio Pistis; Daniela Toniolo; Clara Camaschella; Domenico Girelli
The recent discovery of hepcidin, the key iron regulatory hormone, has changed our view of iron metabolism, which in turn is long known to be linked with insulin resistant states, including type 2 diabetes mellitus and the Metabolic Syndrome (MetS). Serum ferritin levels are often elevated in MetS (Dysmetabolic hyperferritinemia - DHF), and are sometimes associated with a true mild-to-moderate hepatic iron overload (dysmetabolic iron overload syndrome - DIOS). However, the pathophysiological link between iron and MetS remains unclear. This study was aimed to investigate, for the first time, the relationship between MetS and hepcidin at population level. We measured serum hepcidin levels by Mass Spectrometry in 1,391 subjects from the Val Borbera population, and evaluated their relationship with classical MetS features. Hepcidin levels increased significantly and linearly with increasing number of MetS features, paralleling the trend of serum ferritin. In multivariate models adjusted for relevant variables including age, C-Reactive Protein, and the HFE C282Y mutation, ferritin was the only significant independent predictor of hepcidin in males, while in females MetS was also independently associated with hepcidin. Overall, these data indicate that the fundamental iron regulatory feedback is preserved in MetS, i.e. that hepcidin tends to progressively increase in response to the increase of iron stores. Due to recently discovered pleiotropic effects of hepcidin, this may worsen insulin resistance and contribute to the cardiovascular complications of MetS.
Human Molecular Genetics | 2013
John Perry; Tanguy Corre; Tonu Esko; Daniel I. Chasman; Krista Fischer; Nora Franceschini; Chunyan He; Zoltán Kutalik; Massimo Mangino; Lynda M. Rose; Albert V. Smith; Lisette Stolk; Patrick Sulem; Michael N. Weedon; Wei V. Zhuang; Alice M. Arnold; Alan Ashworth; Sven Bergmann; Julie E. Buring; Andrea Burri; Constance Chen; Marilyn C. Cornelis; David Couper; Mark O. Goodarzi; Vilmundur Gudnason; Tamara B. Harris; Albert Hofman; Michael P. Jones; P. Kraft; Lenore J. Launer
Early menopause (EM) affects up to 10% of the female population, reducing reproductive lifespan considerably. Currently, it constitutes the leading cause of infertility in the western world, affecting mainly those women who postpone their first pregnancy beyond the age of 30 years. The genetic aetiology of EM is largely unknown in the majority of cases. We have undertaken a meta-analysis of genome-wide association studies (GWASs) in 3493 EM cases and 13 598 controls from 10 independent studies. No novel genetic variants were discovered, but the 17 variants previously associated with normal age at natural menopause as a quantitative trait (QT) were also associated with EM and primary ovarian insufficiency (POI). Thus, EM has a genetic aetiology which overlaps variation in normal age at menopause and is at least partly explained by the additive effects of the same polygenic variants. The combined effect of the common variants captured by the single nucleotide polymorphism arrays was estimated to account for ∼30% of the variance in EM. The association between the combined 17 variants and the risk of EM was greater than the best validated non-genetic risk factor, smoking.
Journal of The American Society of Nephrology | 2014
Matthias Olden; Tanguy Corre; Caroline Hayward; Daniela Toniolo; Sheila Ulivi; Paolo Gasparini; Giorgio Pistis; Shih Jen Hwang; Sven Bergmann; Harry Campbell; Massimiliano Cocca; Ilaria Gandin; Giorgia Girotto; Bob Glaudemans; Nicholas D. Hastie; Johannes Loffing; Ozren Polasek; Luca Rampoldi; Igor Rudan; Cinzia Sala; Michela Traglia; Peter Vollenweider; Dragana Vuckovic; Sonia Youhanna; Julien Weber; Alan F. Wright; Zoltán Kutalik; Murielle Bochud; Caroline S. Fox; Olivier Devuyst
Uromodulin is expressed exclusively in the thick ascending limb and is the most abundant protein excreted in normal urine. Variants in UMOD, which encodes uromodulin, are associated with renal function, and urinary uromodulin levels may be a biomarker for kidney disease. However, the genetic factors regulating uromodulin excretion are unknown. We conducted a meta-analysis of urinary uromodulin levels to identify associated common genetic variants in the general population. We included 10,884 individuals of European descent from three genetic isolates and three urban cohorts. Each study measured uromodulin indexed to creatinine and conducted linear regression analysis of approximately 2.5 million single nucleotide polymorphisms using an additive model. We also tested whether variants in genes expressed in the thick ascending limb associate with uromodulin levels. rs12917707, located near UMOD and previously associated with renal function and CKD, had the strongest association with urinary uromodulin levels (P<0.001). In all cohorts, carriers of a G allele of this variant had higher uromodulin levels than noncarriers did (geometric means 10.24, 14.05, and 17.67 μg/g creatinine for zero, one, or two copies of the G allele). rs12446492 in the adjacent gene PDILT (protein disulfide isomerase-like, testis expressed) also reached genome-wide significance (P<0.001). Regarding genes expressed in the thick ascending limb, variants in KCNJ1, SORL1, and CAB39 associated with urinary uromodulin levels. These data indicate that common variants in the UMOD promoter region may influence urinary uromodulin levels. They also provide insights into uromodulin biology and the association of UMOD variants with renal function.
European Journal of Human Genetics | 2013
Tonu Esko; Massimo Mezzavilla; Mari Nelis; Christelle Borel; Tadeusz Dębniak; Eveliina Jakkula; Antonio Julià; Sena Karachanak; Andrey Khrunin; Péter Kisfali; Veronika Krulisova; Zita Ausrele Kucinskiene; Karola Rehnström; Michela Traglia; Liene Nikitina-Zake; Fritz Zimprich; Xavier Estivill; Damjan Glavač; Ivo Gut; Janis Klovins; Michael Krawczak; Vaidutis Kučinskas; Mark Lathrop; Milan Macek; Sara Marsal; Thomas Meitinger; Béla Melegh; S. A. Limborska; Jan Lubinski; Aarno Paolotie
Population genetic studies on European populations have highlighted Italy as one of genetically most diverse regions. This is possibly due to the country’s complex demographic history and large variability in terrain throughout the territory. This is the reason why Italy is enriched for population isolates, Sardinia being the best-known example. As the population isolates have a great potential in disease-causing genetic variants identification, we aimed to genetically characterize a region from northeastern Italy, which is known for isolated communities. Total of 1310 samples, collected from six geographically isolated villages, were genotyped at >145 000 single-nucleotide polymorphism positions. Newly genotyped data were analyzed jointly with the available genome-wide data sets of individuals of European descent, including several population isolates. Despite the linguistic differences and geographical isolation the village populations still show the greatest genetic similarity to other Italian samples. The genetic isolation and small effective population size of the village populations is manifested by higher levels of genomic homozygosity and elevated linkage disequilibrium. These estimates become even more striking when the detected substructure is taken into account. The observed level of genetic isolation in Friuli-Venezia Giulia region is more extreme according to several measures of isolation compared with Sardinians, French Basques and northern Finns, thus proving the status of an isolate.
Nature Communications | 2014
Beben Benyamin; T onu Esko; S. Ried; Aparna Radhakrishnan; H. Vermeulen; Michela Traglia; Joseph E. Powell; R. Nyholt; Andrew C. Heath; Peter M. Visscher; Jonathon S. Wright; Grant W. Montgomery; Nicholas G. Martin; Dena Hernandez; Stefania Bandinelli; Pim van der Harst; Peter Vollenweider; Claudia Langenberg; Nicholas J. Wareham; Cornelia van Duijn; John Beilby; Peter P. Pramstaller; Andrew A. Hicks; Willem H. Ouwehand; Christian Gieger; Andres Metspalu; Clara Camaschella; Daniela Toniolo; Dorine W. Swinkels; John Whitfield
Variation in body iron is associated with or causes diseases, including anaemia and iron overload. Here we analyse genetic association data on biochemical markers of iron status from eleven European-population studies, with replication in eight additional cohorts (total up to 48,972 subjects). We find eleven genome-wide-significant (p < 5 × 10−8) loci, some including known iron-related genes (HFE, SLC40A1, TF, TFR2, TFRC, TMPRSS6) and others novel (ABO, ARNTL, FADS2, NAT2, TEX14). SNPs at ARNTL, TF, and TFR2 affect iron markers in HFE C282Y homozygotes at risk for hemochromatosis. There is substantial overlap between our iron loci and loci affecting erythrocyte and lipid phenotypes. These results will facilitate investigation of the roles of iron in disease.