Bruna Gigante

Dr. Bruna Gigante

orcid

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

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

Representative Publications

View All Publications
11 February 2015 in Nature
Verified
Journal Article
Closed access
PDF file
ALAdam E Locke
Adam E Locke
BKBratati Kahali
Bratati Kahali
SBSonja I Berndt
Sonja I Berndt
AJAnne E Justice
Anne E Justice
TPTune H Pers
Tune H Pers
ESElizabeth K. Speliotes
Elizabeth K. Speliotes

14 March 2013 in New England Journal of Medicine
Verified
Journal Article
Closed access
PDF file
SDSarah C. Darby
Sarah C. Darby
MEMarianne Ewertz
Marianne Ewertz
PMPaul McGale
Paul McGale
ABAnna M. Bennet
Anna M. Bennet
UBUlla Blom-Goldman
Ulla Blom-Goldman
PHPer Hall
Per Hall
Radiotherapy for breast cancer often involves some incidental exposure of the heart to ionizing radiation. The effect of this exposure on the subsequent risk of ischemic heart disease is uncertain.

1 August 2012 in The Lancet
Verified
Journal Article
Open access
BVBenjamin F Voight
Benjamin F Voight
GPGina M Peloso
Gina M Peloso
MOMarju Orho-Melander
Marju Orho-Melander
RFRuth Frikke-Schmidt
Ruth Frikke-Schmidt
MBMaja Barbalic
Maja Barbalic
SKSekar Kathiresan
Sekar Kathiresan
High plasma HDL cholesterol is associated with reduced risk of myocardial infarction, but whether this association is causal is unclear. Exploiting the fact that genotypes are randomly assigned at meiosis, are independent of non-genetic confounding, and are unmodified by disease processes, mendelian randomisation can be used to test the hypothesis that the association of a plasma biomarker with disease is causal. We performed two mendelian randomisation analyses. First, we used as an instrument a single nucleotide polymorphism (SNP) in the endothelial lipase gene (LIPG Asn396Ser) and tested this SNP in 20 studies (20,913 myocardial infarction cases, 95,407 controls). Second, we used as an instrument a genetic score consisting of 14 common SNPs that exclusively associate with HDL cholesterol and tested this score in up to 12,482 cases of myocardial infarction and 41,331 controls. As a positive control, we also tested a genetic score of 13 common SNPs exclusively associated with LDL cholesterol. Carriers of the LIPG 396Ser allele (2·6% frequency) had higher HDL cholesterol (0·14 mmol/L higher, p=8×10(-13)) but similar levels of other lipid and non-lipid risk factors for myocardial infarction compared with non-carriers. This difference in HDL cholesterol is expected to decrease risk of myocardial infarction by 13% (odds ratio [OR] 0·87, 95% CI 0·84-0·91). However, we noted that the 396Ser allele was not associated with risk of myocardial infarction (OR 0·99, 95% CI 0·88-1·11, p=0·85). From observational epidemiology, an increase of 1 SD in HDL cholesterol was associated with reduced risk of myocardial infarction (OR 0·62, 95% CI 0·58-0·66). However, a 1 SD increase in HDL cholesterol due to genetic score was not associated with risk of myocardial infarction (OR 0·93, 95% CI 0·68-1·26, p=0·63). For LDL cholesterol, the estimate from observational epidemiology (a 1 SD increase in LDL cholesterol associated with OR 1·54, 95% CI 1·45-1·63) was concordant with that from genetic score (OR 2·13, 95% CI 1·69-2·69, p=2×10(-10)). Some genetic mechanisms that raise plasma HDL cholesterol do not seem to lower risk of myocardial infarction. These data challenge the concept that raising of plasma HDL cholesterol will uniformly translate into reductions in risk of myocardial infarction. US National Institutes of Health, The Wellcome Trust, European Union, British Heart Foundation, and the German Federal Ministry of Education and Research.

12 August 2012 in Nature Genetics
Verified
Journal Article
Open access
PDF file
TCthe DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium
the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium
AMAndrew P Morris
Andrew P Morris
BVBenjamin F Voight
Benjamin F Voight
TTTanya M Teslovich
Tanya M Teslovich
TFTeresa Ferreira
Teresa Ferreira
MMMark I McCarthy
Mark I McCarthy
Mark McCarthy, Michael Boehnke, Andrew Morris and colleagues perform large-scale association analyses using the Metabochip to gain insights into the genetic architecture of type 2 diabetes. They report several new susceptibility loci, including two that show sex-differentiated effects on disease risk. To extend understanding of the genetic architecture and molecular basis of type 2 diabetes (T2D), we conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent. We identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association. Genome-wide analyses of these data are consistent with a long tail of additional common variant loci explaining much of the variation in susceptibility to T2D. Exploration of the enlarged set of susceptibility loci implicates several processes, including CREBBP-related transcription, adipocytokine signaling and cell cycle regulation, in diabetes pathogenesis.

6 March 2011 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
JCJohn F. Carlquist Cardiogenics
John F. Carlquist Cardiogenics
HSHeribert Schunkert
Heribert Schunkert
TCthe CARDIoGRAM Consortium
the CARDIoGRAM Consortium
IKInke R König
Inke R König
SKSekar Kathiresan
Sekar Kathiresan
Jeanette ErdmannJeanette Erdmann
Jeanette Erdmann

2 December 2012 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
PDPanos Deloukas
Panos Deloukas
Stavroula KanoniStavroula Kanoni
Stavroula Kanoni
CWChristina Willenborg
Christina Willenborg
MFMartin Farrall
Martin Farrall
TAThemistocles L Assimes
Themistocles L Assimes
NSNilesh J Samani
Nilesh J Samani