Lanzani Chiara

Dr. Lanzani Chiara

Chair of Nephrology, Vita-Salute University San Raffaele and Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, 60, 20132 Milan, Italy

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
10 October 2010 in Nature Genetics
Verified
Journal Article
Open access
PDF file
ESElizabeth K Speliotes
Elizabeth K Speliotes
MAMagic
Magic
CWCristen J Willer
Cristen J Willer
SBSonja I Berndt
Sonja I Berndt
KMKeri L Monda
Keri L Monda
OCon behalf of Procardis Consortium
on behalf of Procardis Consortium
Ruth Loos and colleagues report results of a large genome-wide association study for body mass index. They identify 18 new loci associated with this trait, some of which map near key hypothalamic regulators of energy balance. Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ∼2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 × 10−8), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.

1 May 1997 in The Lancet
Verified
Journal Article
Closed access
DCDaniele Cusi
Daniele Cusi
CBCristina Barlassina
Cristina Barlassina
TATiziana Azzani
Tiziana Azzani
GCGiorgio Casari
Giorgio Casari
LCLorena Citterio
Lorena Citterio
GBGiuseppe Bianchi
Giuseppe Bianchi

1 October 2015 in PLOS Genetics
Verified
Journal Article
Open access
PDF file
TWThomas W. Winkler
Thomas W. Winkler
AJAnne E. Justice
Anne E. Justice
MGMariaelisa Graff
Mariaelisa Graff
LBLlilda Barata
Llilda Barata
MFMary Feitosa
Mary Feitosa
RLRuth J. F. Loos
Ruth J. F. Loos
Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (320,000 individuals), to specifically identify genetic loci with age- and or sex-dependent effects on body size and shape. We identified 15 loci of which the effect on BMI was different in older compared to younger adults, whereas we found no evidence for loci with different effects in men compared to women. The opposite was seen for body shape as we identified 44 loci of which the effect on waist-to-hip ratio differed between men and women, but no difference between younger and older adults were observed. Our observations may provide new insights into the biology that underlies weight change with age or the sexual dimorphism of body shape.

1 August 2006 in JACC
Verified
Journal Article
Closed access
SRSperanza Rubattu
Speranza Rubattu
GBGiada Bigatti
Giada Bigatti
AEAnna Evangelista
Anna Evangelista
LCLanzani Chiara
Lanzani Chiara
RSRosita Stanzione
Rosita Stanzione
PSPaola Stella
Paola Stella

1 March 2003 in Hypertension
Verified
Journal Article
Closed access
Maria Teresa Sciarrone AlibrandiMaria Teresa Sciarrone Alibrandi
Maria Teresa Sciarrone Alibrandi
PSPaola Stella
Paola Stella
CBCristina Barlassina
Cristina Barlassina
Paolo ManuntaPaolo Manunta
Paolo Manunta
LCLanzani Chiara
Lanzani Chiara
DCDaniele Cusi
Daniele Cusi
Renin-angiotensin system reactivity and the constitutive capacity of the renal tubule to reabsorb sodium play a role in the individual response to diuretic therapy; therefore we evaluated the blood pressure (BP) response to hydrochlorothiazide in 87 never-treated individuals with mild essential hypertension, according to ACE gene I/D and α-adducin Gly460Trp polymorphism. These genotypes where chosen because previous data showed their interaction in determining the BP response to salt probably was the result of their involvement in the activation of the renin-angiotensin system (ACE) and in the constitutive capacity of the kidney to reabsorb sodium (α-adducin) (treatment for 2 months). BP was measured after 3 run-in visits and after the first and second months of treatment by means of a standardized procedure. Data were analyzed by ANOVA, t test, and multivariate ANOVA for repeated measures (covarying for gender, age, and body mass index). Although basal mean BP (MBP) was similar in the different ACE and α-adducin genotypes, patients carrying at least one I allele of ACE and one 460Trp allele of α-adducin had the largest MBP decrease with treatment (12.7±1.9 mm Hg), the effect of the combination of genotypes being additive but not epistatic. These patients had an odds ratio of 15.75 of being a responder to hydrochlorothiazide compared with patients with Gly460Gly+DD, with the least MBP decrease (3.4±1.7 mm Hg). α-Adducin and ACE I/D polymorphism may be useful to predict the interindividual degree of response to hydrochlorothiazide; the analysis of the combination of the 2 genotypes increases the accuracy of the prediction of response to the drug.

1 June 1998 in Kidney International
Verified
Journal Article
Closed access
Paolo ManuntaPaolo Manunta
Paolo Manunta
DCDaniele Cusi
Daniele Cusi
CBCristina Barlassina
Cristina Barlassina
MRMarco Righetti
Marco Righetti
LCLanzani Chiara
Lanzani Chiara
GBGiuseppe Bianchi
Giuseppe Bianchi