Rita Guerreiro

Rita Guerreiro

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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1 October 2011 in Neuron
Verified
Journal Article
Closed access
ARAlan E. Renton
Alan E. Renton
EMElisa Majounie
Elisa Majounie
AWAdrian Waite
Adrian Waite
JSJavier Simón-Sánchez
Javier Simón-Sánchez
SRSara Rollinson
Sara Rollinson
BTBryan J. Traynor
Bryan J. Traynor

28 February 2019 in Nature Genetics
Verified
Journal Article
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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

10 January 2013 in New England Journal of Medicine
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Journal Article
Closed access
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RGRita Guerreiro
Rita Guerreiro
AWAleksandra Wojtas
Aleksandra Wojtas
JBJose Bras
Jose Bras
MCMinerva Carrasquillo
Minerva Carrasquillo
EREkaterina Rogaeva
Ekaterina Rogaeva
JHJohn Hardy
John Hardy
Homozygous loss-of-function mutations in TREM2, encoding the triggering receptor expressed on myeloid cells 2 protein, have previously been associated with an autosomal recessive form of early-onset dementia. We used genome, exome, and Sanger sequencing to analyze the genetic variability in TREM2 in a series of 1092 patients with Alzheimer's disease and 1107 controls (the discovery set). We then performed a meta-analysis on imputed data for the TREM2 variant rs75932628 (predicted to cause a R47H substitution) from three genomewide association studies of Alzheimer's disease and tested for the association of the variant with disease. We genotyped the R47H variant in an additional 1887 cases and 4061 controls. We then assayed the expression of TREM2 across different regions of the human brain and identified genes that are differentially expressed in a mouse model of Alzheimer's disease and in control mice. We found significantly more variants in exon 2 of TREM2 in patients with Alzheimer's disease than in controls in the discovery set (P=0.02). There were 22 variant alleles in 1092 patients with Alzheimer's disease and 5 variant alleles in 1107 controls (P<0.001). The most commonly associated variant, rs75932628 (encoding R47H), showed highly significant association with Alzheimer's disease (P<0.001). Meta-analysis of rs75932628 genotypes imputed from genomewide association studies confirmed this association (P=0.002), as did direct genotyping of an additional series of 1887 patients with Alzheimer's disease and 4061 controls (P<0.001). Trem2 expression differed between control mice and a mouse model of Alzheimer's disease. Heterozygous rare variants in TREM2 are associated with a significant increase in the risk of Alzheimer's disease. (Funded by Alzheimer's Research UK and others.)

1 December 2019 in The Lancet Neurology
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Journal Article
Closed access
MNMike A Nalls
Mike A Nalls
CBCornelis Blauwendraat
Cornelis Blauwendraat
KHKarl Heilbron
Karl Heilbron
SBSara Bandres-Ciga
Sara Bandres-Ciga
DCDiana Chang
Diana Chang
FZFutao Zhang
Futao Zhang

6 September 2009 in Nature Genetics
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Journal Article
Open access
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DHDenise Harold
Denise Harold
RARichard Abraham
Richard Abraham
PHPaul Hollingworth
Paul Hollingworth
RSRebecca Sims
Rebecca Sims
AGAmy Gerrish
Amy Gerrish
JWJulie Williams
Julie Williams
Julie Williams and colleagues report a genome-wide association study for Alzheimer's disease. They identify variants at the CLU and PICALM loci associated with susceptibility to late-onset Alzheimer's disease. We undertook a two-stage genome-wide association study (GWAS) of Alzheimer's disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), we replicated the established association with the apolipoprotein E (APOE) locus (most significant SNP, rs2075650, P = 1.8 × 10−157) and observed genome-wide significant association with SNPs at two loci not previously associated with the disease: at the CLU (also known as APOJ) gene (rs11136000, P = 1.4 × 10−9) and 5′ to the PICALM gene (rs3851179, P = 1.9 × 10−8). These associations were replicated in stage 2 (2,023 cases and 2,340 controls), producing compelling evidence for association with Alzheimer's disease in the combined dataset (rs11136000, P = 8.5 × 10−10, odds ratio = 0.86; rs3851179, P = 1.3 × 10−9, odds ratio = 0.86).

3 April 2011 in Nature Genetics
Verified
Journal Article
Open access
PDF file
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).