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Dive into the research topics where Stefania Bandinelli is active.

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Featured researches published by Stefania Bandinelli.


Nature Communications | 2015

Novel loci affecting iron homeostasis and their effects in individuals at risk for hemochromatosis (vol 5, 4926, 2014)

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


Journal of the American Geriatrics Society | 2000

Subsystems contributing to the decline in ability to walk: Bridging the gap between epidemiology and geriatric practice in the InCHIANTI study

Luigi Ferrucci; Stefania Bandinelli; Enrico Benvenuti; Angelo Di Iorio; Claudio Macchi; Tamara B. Harris; Jack M. Guralnik

BACKGROUND: Older patients are often referred to geriatricians because of complaints of progressive difficulties in walking. The diagnostic and therapeutic approach to these patients is complex. Multiple physiologic subsystems may influence the ability to walk, and no standard criteria are currently available to establish whether these subsystems are functioning within the normal range. To address this lack of knowledge we conducted the InCHIANTI study.


Electroencephalography and Clinical Neurophysiology | 1990

Effects of coil design on delivery of focal magnetic stimulation. Technical considerations

Leonardo G. Cohen; Bradley J. Roth; Jan Nilsson; Nguyet Dang; Marcela Panizza; Stefania Bandinelli; Walter S. Friauf; Mark Hallett

The localization of effects from magnetic coil stimulation is not immediately obvious. We measured the magnetic fields produced by several different coils and compared the results with theoretical calculations. Magnetic stimuli were delivered from a Cadwell MES-10 magnetic stimulator using 3 circular coils (one 9 cm in diameter; two with an angulated extension, 5 and 9 cm in diameter) and twin oval coils arranged in a butterfly shape (each coil approximately 4 cm in diameter) and from a Novametrix Magstim 200 using two circular flat-spiral coils (6.7 and 14 cm in diameter). Peak-induced strength of the magnetic field was recorded with a measuring loop (1 cm in diameter) at different distances from the center of the coil. When the measuring loop was moved in the same plane laterally from the center of the coil, for all coils except the butterfly-shaped coil, the field was highest in the center and fell off near the circumference of the coil. The field dropped progressively when measurements were made more distant from the plane of the coils. The electric field induced from the magnetic coil could be calculated from the coil geometry. For all coils except the butterfly-shaped coil, the largest electric field was at the circumference of the coils. The 6.7 cm flat-spiral coil induced currents similar to those induced by the larger coils but more focally. The butterfly-shaped coil induced the largest currents under its center, where the circumferences of the two component coils come together. The component of the electric field parallel to the wire in the center of this coil was the largest and most localized.


PLOS Genetics | 2008

A genome-wide association study identifies protein quantitative trait loci (pQTLs)

David Melzer; John Perry; Dena Hernandez; Annamaria Corsi; K Stevens; Ian Rafferty; F. Lauretani; Anna Murray; J. Raphael Gibbs; Giuseppe Paolisso; Sajjad Rafiq; Javier Simón-Sánchez; Hana Lango; Sonja W. Scholz; Michael N. Weedon; Sampath Arepalli; Neil Rice; Nicole Washecka; Alison J. Hurst; Angela Britton; William Henley; Joyce van de Leemput; Rongling Li; Anne B. Newman; Greg Tranah; Tamara B. Harris; Vijay Panicker; Colin Mark Dayan; Amanda J. Bennett; Mark I. McCarthy

There is considerable evidence that human genetic variation influences gene expression. Genome-wide studies have revealed that mRNA levels are associated with genetic variation in or close to the gene coding for those mRNA transcripts – cis effects, and elsewhere in the genome – trans effects. The role of genetic variation in determining protein levels has not been systematically assessed. Using a genome-wide association approach we show that common genetic variation influences levels of clinically relevant proteins in human serum and plasma. We evaluated the role of 496,032 polymorphisms on levels of 42 proteins measured in 1200 fasting individuals from the population based InCHIANTI study. Proteins included insulin, several interleukins, adipokines, chemokines, and liver function markers that are implicated in many common diseases including metabolic, inflammatory, and infectious conditions. We identified eight Cis effects, including variants in or near the IL6R (p = 1.8×10−57), CCL4L1 (p = 3.9×10−21), IL18 (p = 6.8×10−13), LPA (p = 4.4×10−10), GGT1 (p = 1.5×10−7), SHBG (p = 3.1×10−7), CRP (p = 6.4×10−6) and IL1RN (p = 7.3×10−6) genes, all associated with their respective protein products with effect sizes ranging from 0.19 to 0.69 standard deviations per allele. Mechanisms implicated include altered rates of cleavage of bound to unbound soluble receptor (IL6R), altered secretion rates of different sized proteins (LPA), variation in gene copy number (CCL4L1) and altered transcription (GGT1). We identified one novel trans effect that was an association between ABO blood group and tumour necrosis factor alpha (TNF-alpha) levels (p = 6.8×10−40), but this finding was not present when TNF-alpha was measured using a different assay , or in a second study, suggesting an assay-specific association. Our results show that protein levels share some of the features of the genetics of gene expression. These include the presence of strong genetic effects in cis locations. The identification of protein quantitative trait loci (pQTLs) may be a powerful complementary method of improving our understanding of disease pathways.


PLOS Genetics | 2009

Genome-Wide Association Study of Plasma Polyunsaturated Fatty Acids in the InCHIANTI Study

Toshiko Tanaka; Jian Shen; Gonçalo R. Abecasis; Aliaksei Kisialiou; Jose M. Ordovas; Jack M. Guralnik; Andrew Singleton; Stefania Bandinelli; Antonio Cherubini; Donna K. Arnett; Michael Y. Tsai; Luigi Ferrucci

Polyunsaturated fatty acids (PUFA) have a role in many physiological processes, including energy production, modulation of inflammation, and maintenance of cell membrane integrity. High plasma PUFA concentrations have been shown to have beneficial effects on cardiovascular disease and mortality. To identify genetic contributors of plasma PUFA concentrations, we conducted a genome-wide association study of plasma levels of six omega-3 and omega-6 fatty acids in 1,075 participants in the InCHIANTI study on aging. The strongest evidence for association was observed in a region of chromosome 11 that encodes three fatty acid desaturases (FADS1, FADS2, FADS3). The SNP with the most significant association was rs174537 near FADS1 in the analysis of arachidonic acid (AA; p = 5.95×10−46). Minor allele homozygotes had lower AA compared to the major allele homozygotes and rs174537 accounted for 18.6% of the additive variance in AA concentrations. This SNP was also associated with levels of eicosadienoic acid (EDA; p = 6.78×10−9) and eicosapentanoic acid (EPA; p = 1.07×10−14). Participants carrying the allele associated with higher AA, EDA, and EPA also had higher low-density lipoprotein (LDL-C) and total cholesterol levels. Outside the FADS gene cluster, the strongest region of association mapped to chromosome 6 in the region encoding an elongase of very long fatty acids 2 (ELOVL2). In this region, association was observed with EPA (rs953413; p = 1.1×10−6). The effects of rs174537 were confirmed in an independent sample of 1,076 subjects participating in the GOLDN study. The ELOVL2 SNP was associated with docosapentanoic and DHA but not with EPA in GOLDN. These findings show that polymorphisms of genes encoding enzymes in the metabolism of PUFA contribute to plasma concentrations of fatty acids.


Journal of the American Geriatrics Society | 2005

Executive Function Correlates with Walking Speed in Older Persons: The InCHIANTI Study

Alesandro Ble; Stefano Volpato; Giovanni Zuliani; Jack M. Guralnik; Stefania Bandinelli; Fulvio Lauretani; Benedetta Bartali; Cinzia Maraldi; Renato Fellin; Luigi Ferrucci

Objectives: To study the association between performance on psychological tests of executive function and performance on lower extremity tasks with different attentional demands in a large sample of nondemented, older adults.


Nature Genetics | 2009

Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium

Santhi K. Ganesh; Neil A. Zakai; Frank J. A. van Rooij; Nicole Soranzo; Albert V. Smith; Michael A. Nalls; Ming-Huei Chen; Anna Köttgen; Nicole L. Glazer; Abbas Dehghan; Brigitte Kühnel; Thor Aspelund; Qiong Yang; Toshiko Tanaka; Andrew E. Jaffe; Joshua C. Bis; Germaine C. Verwoert; Alexander Teumer; Caroline S. Fox; Jack M. Guralnik; Georg B. Ehret; Kenneth Rice; Janine F. Felix; Augusto Rendon; Gudny Eiriksdottir; Daniel Levy; Kushang V. Patel; Eric Boerwinkle; Jerome I. Rotter; Albert Hofman

Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 × 10−8 to 7 × 10−86). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.


PLOS Genetics | 2012

Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.

Zari Dastani; Marie-France Hivert; John Perry; Robert A. Scott; Peter Henneman; M. Heid; Christian Fuchsberger; Toshiko Tanaka; Andrew P. Morris; Aaron Isaacs; Kurt Lohman; James S. Pankow; David Evans; Beate St; Stefania Bandinelli; Olga D. Carlson; Josephine M. Egan; Britt-Marie Loo; Toby Johnson; Robert K. Semple; Tanya M. Teslovich; Matthew A. Allison; Susan Redline; Sarah G. Buxbaum; Karen L. Mohlke; Ingrid Meulenbelt; Christie M. Ballantyne; George Dedoussis; Frank B. Hu; Yongmei Liu

Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10−8–1.2×10−43). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p<3×10−4). We next developed a multi-SNP genotypic risk score to test the association of adiponectin decreasing risk alleles on metabolic traits and diseases using consortia-level meta-analytic data. This risk score was associated with increased risk of T2D (p = 4.3×10−3, n = 22,044), increased triglycerides (p = 2.6×10−14, n = 93,440), increased waist-to-hip ratio (p = 1.8×10−5, n = 77,167), increased glucose two hours post oral glucose tolerance testing (p = 4.4×10−3, n = 15,234), increased fasting insulin (p = 0.015, n = 48,238), but with lower in HDL-cholesterol concentrations (p = 4.5×10−13, n = 96,748) and decreased BMI (p = 1.4×10−4, n = 121,335). These findings identify novel genetic determinants of adiponectin levels, which, taken together, influence risk of T2D and markers of insulin resistance.


Journals of Gerontology Series A-biological Sciences and Medical Sciences | 2010

Red Cell Distribution Width and Mortality in Older Adults: A Meta-analysis

Kusha ng V. Patel; Richard D. Semba; Luigi Ferrucci; Anne B. Newman; Linda P. Fried; Robert B. Wallace; Stefania Bandinelli; Caroline S. Phillips; Binbing Yu; Stephanie Connelly; Michael G. Shlipak; Paulo H. M. Chaves; Lenore J. Launer; William B. Ershler; Tamara B. Harris; Dan L. Longo; Jack M. Guralnik

BACKGROUND Red cell distribution width (RDW) is a quantitative measure of variability in the size of circulating erythrocytes with higher values reflecting greater heterogeneity in cell sizes. Recent studies have shown that higher RDW is associated with increased mortality risk in patients with clinically significant cardiovascular disease (CVD). Whether RDW is prognostic in more representative community-based populations is unclear. METHODS Seven relevant community-based studies of older adults with RDW measurement and mortality ascertainment were identified. Cox proportional hazards regression and meta-analysis on individual participant data were performed. RESULTS Median RDW values varied across studies from 13.2% to 14.6%. During 68,822 person-years of follow-up of 11,827 older adults with RDW measured, there was a graded increased risk of death associated with higher RDW values (p < .001). For every 1% increment in RDW, total mortality risk increased by 14% (adjusted hazard ratio [HR]: 1.14; 95% confidence interval [CI]: 1.11-1.17). In addition, RDW was strongly associated with deaths from CVD (adjusted HR: 1.15; 95% CI: 1.12-1.25), cancer (adjusted HR: 1.13; 95% CI: 1.07-1.20), and other causes (adjusted HR: 1.13; 95% CI: 1.07-1.18). Furthermore, the RDW-mortality association occurred in all major demographic, disease, and nutritional risk factor subgroups examined. Among the subset of 1,603 older adults without major age-associated diseases, RDW remained strongly associated with total mortality (adjusted HR: 1.32; 95% CI: 1.21-1.44). CONCLUSIONS RDW is a routinely reported test that is a powerful predictor of mortality in community-dwelling older adults with and without age-associated diseases. The biologic mechanisms underlying this association merit investigation.


Journal of the American Geriatrics Society | 2008

Activity Restriction Induced by Fear of Falling and Objective and Subjective Measures of Physical Function : A Prospective Cohort Study

Nandini Deshpande; E. Jeffrey Metter; Fulvio Lauretani; Stefania Bandinelli; Jack M. Guralnik; Luigi Ferrucci

OBJECTIVES: To examine whether activity restriction specifically induced by fear of falling (FF) contributes to greater risk of disability and decline in physical function.

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Toshiko Tanaka

National Institutes of Health

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Richard D. Semba

Johns Hopkins University School of Medicine

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Marcello Maggio

National Institutes of Health

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