Daniela Galimberti

Daniela Galimberti

orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

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

Representative Publications

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28 February 2019 in Nature Genetics
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BKBrian W. Kunkle
Brian W. Kunkle
T(The European Alzheimer’s Disease Initiative (Eadi)
The European Alzheimer’s Disease Initiative (Eadi)
BGBenjamin Grenier-Boley
Benjamin Grenier-Boley
RSRebecca Sims
Rebecca Sims
JBJoshua C. Bis
Joshua C. Bis
MPMargaret A. Pericak-Vance
Margaret A. Pericak-Vance

4 April 2022 in Nature Genetics
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CBCéline Bellenguez
Céline Bellenguez
FKFahri Küçükali
Fahri Küçükali
IJIris E. Jansen
Iris E. Jansen
LKLuca Kleineidam
Luca Kleineidam
SMSonia Moreno-Grau
Sonia Moreno-Grau
JLJean-Charles Lambert
Jean-Charles Lambert
Characterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/‘proxy’ AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele.

6 September 2009 in Nature Genetics
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TIthe European Alzheimer's Disease Initiative Investigators
the European Alzheimer's Disease Initiative Investigators
JLJean-Charles Lambert
Jean-Charles Lambert
SHSimon Heath
Simon Heath
GEGael Even
Gael Even
DCDominique Campion
Dominique Campion
PAPhilippe Amouyel
Philippe Amouyel

3 April 2011 in Nature Genetics
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PHPaul Hollingworth
Paul Hollingworth
DHDenise Harold
Denise Harold
RSRebecca Sims
Rebecca Sims
AGAmy Gerrish
Amy Gerrish
JLJean-Charles Lambert
Jean-Charles Lambert
JWJulie Williams
Julie Williams
Julie Williams, Michael Owen and colleagues report staged follow-up and meta-analyses of genome-wide association studies for Alzheimer's disease from the GERAD+ consortium. They identify common variants at ABCA7 and MS4A6A/MS4A4E associated with Alzheimer's disease and support for several additional susceptibility loci. We sought to identify new susceptibility loci for Alzheimer's disease through a staged association study (GERAD+) and by testing suggestive loci reported by the Alzheimer's Disease Genetic Consortium (ADGC) in a companion paper. We undertook a combined analysis of four genome-wide association datasets (stage 1) and identified ten newly associated variants with P ≤ 1 × 10−5. We tested these variants for association in an independent sample (stage 2). Three SNPs at two loci replicated and showed evidence for association in a further sample (stage 3). Meta-analyses of all data provided compelling evidence that ABCA7 (rs3764650, meta P = 4.5 × 10−17; including ADGC data, meta P = 5.0 × 10−21) and the MS4A gene cluster (rs610932, meta P = 1.8 × 10−14; including ADGC data, meta P = 1.2 × 10−16) are new Alzheimer's disease susceptibility loci. We also found independent evidence for association for three loci reported by the ADGC, which, when combined, showed genome-wide significance: CD2AP (GERAD+, P = 8.0 × 10−4; including ADGC data, meta P = 8.6 × 10−9), CD33 (GERAD+, P = 2.2 × 10−4; including ADGC data, meta P = 1.6 × 10−9) and EPHA1 (GERAD+, P = 3.4 × 10−4; including ADGC data, meta P = 6.0 × 10−10).

29 September 2013 in Nature Genetics
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ABAshley H Beecham
Ashley H Beecham
NPNikolaos A Patsopoulos
Nikolaos A Patsopoulos
DXDionysia K Xifara
Dionysia K Xifara
MDMary F Davis
Mary F Davis
AKAnu Kemppinen
Anu Kemppinen
JMJacob McCauley
Jacob McCauley
The International Multiple Sclerosis Genetics Consortium reports the discovery of 48 new susceptibility variants for multiple sclerosis through targeted follow-up of immune-related loci. They also report fine mapping of association signals at established susceptibility loci and provide insights into the immune system processes underlying this disease. Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P < 1.0 × 10−4). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 subjects with multiple sclerosis and 26,703 healthy controls. In these 80,094 individuals of European ancestry, we identified 48 new susceptibility variants (P < 5.0 × 10−8), 3 of which we found after conditioning on previously identified variants. Thus, there are now 110 established multiple sclerosis risk variants at 103 discrete loci outside of the major histocompatibility complex. With high-resolution Bayesian fine mapping, we identified five regions where one variant accounted for more than 50% of the posterior probability of association. This study enhances the catalog of multiple sclerosis risk variants and illustrates the value of fine mapping in the resolution of GWAS signals.

17 July 2017 in Nature Genetics
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RSRebecca Sims
Rebecca Sims
SLSven J van der Lee
Sven J van der Lee
ANAdam C Naj
Adam C Naj
CBCéline Bellenguez
Céline Bellenguez
NBNandini Badarinarayan
Nandini Badarinarayan
GSGerard D Schellenberg
Gerard D Schellenberg