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Dive into the research topics where Bernadette McGuinness is active.

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Featured researches published by Bernadette McGuinness.


Nature Genetics | 2009

Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease.

Denise Harold; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Marian Lindsay Hamshere; Jaspreet Singh Pahwa; Valentina Moskvina; Kimberley Dowzell; Amy Williams; Nicola L. Jones; Charlene Thomas; Alexandra Stretton; Angharad R. Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K. Lupton; Carol Brayne; David C. Rubinsztein; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle Brown; Peter Passmore; David Craig; Bernadette McGuinness; Stephen Todd; Clive Holmes

We undertook a two-stage genome-wide association study (GWAS) of Alzheimers 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 Alzheimers 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).


Archive | 2009

Letter abstract - Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's Disease

Denise Harold; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Marian Lindsay Hamshere; Jaspreet Sing Pahwa; Valentina Moskvina; Kimberley Dowzell; Amy Williams; Nicola L. Jones; Charlene Thomas; Alexandra Stretton; Angharad R. Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K. Lupton; Carol Brayne; David C. Rubinsztein; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle Brown; Peter Passmore; David Craig; Bernadette McGuinness; Stephen Todd; Clive Holmes

We undertook a two-stage genome-wide association study (GWAS) of Alzheimers 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 Alzheimers 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).


PLOS ONE | 2010

Genetic evidence implicates the immune system and cholesterol metabolism in the aetiology of Alzheimer's disease.

Lesley Jones; Peter Holmans; Marian Lindsay Hamshere; Denise Harold; Valentina Moskvina; Dobril Ivanov; Andrew Pocklington; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Jaspreet Singh Pahwa; Nicola L. Jones; Alexandra Stretton; Angharad R. Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K. Lupton; Carol Brayne; David C. Rubinsztein; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle Brown; Peter Passmore; David Craig; Bernadette McGuinness; Stephen Todd

Background Late Onset Alzheimers disease (LOAD) is the leading cause of dementia. Recent large genome-wide association studies (GWAS) identified the first strongly supported LOAD susceptibility genes since the discovery of the involvement of APOE in the early 1990s. We have now exploited these GWAS datasets to uncover key LOAD pathophysiological processes. Methodology We applied a recently developed tool for mining GWAS data for biologically meaningful information to a LOAD GWAS dataset. The principal findings were then tested in an independent GWAS dataset. Principal Findings We found a significant overrepresentation of association signals in pathways related to cholesterol metabolism and the immune response in both of the two largest genome-wide association studies for LOAD. Significance Processes related to cholesterol metabolism and the innate immune response have previously been implicated by pathological and epidemiological studies of Alzheimers disease, but it has been unclear whether those findings reflected primary aetiological events or consequences of the disease process. Our independent evidence from two large studies now demonstrates that these processes are aetiologically relevant, and suggests that they may be suitable targets for novel and existing therapeutic approaches.


Nature | 2014

Rare coding variants in the phospholipase D3 gene confer risk for Alzheimer's disease

Carlos Cruchaga; Celeste M. Karch; Sheng Chih Jin; Bruno A. Benitez; Yefei Cai; Rita Guerreiro; Oscar Harari; Joanne Norton; John Budde; Sarah Bertelsen; Amanda T. Jeng; Breanna Cooper; Tara Skorupa; David Carrell; Denise Levitch; Simon Hsu; Jiyoon Choi; Mina Ryten; John Hardy; Daniah Trabzuni; Michael E. Weale; Adaikalavan Ramasamy; Colin Smith; Celeste Sassi; Jose Bras; J. Raphael Gibbs; Dena Hernandez; Michelle K. Lupton; John Powell; Paola Forabosco

Genome-wide association studies (GWAS) have identified several risk variants for late-onset Alzheimers disease (LOAD). These common variants have replicable but small effects on LOAD risk and generally do not have obvious functional effects. Low-frequency coding variants, not detected by GWAS, are predicted to include functional variants with larger effects on risk. To identify low-frequency coding variants with large effects on LOAD risk, we carried out whole-exome sequencing (WES) in 14 large LOAD families and follow-up analyses of the candidate variants in several large LOAD case–control data sets. A rare variant in PLD3 (phospholipase D3; Val232Met) segregated with disease status in two independent families and doubled risk for Alzheimer’s disease in seven independent case–control series with a total of more than 11,000 cases and controls of European descent. Gene-based burden analyses in 4,387 cases and controls of European descent and 302 African American cases and controls, with complete sequence data for PLD3, reveal that several variants in this gene increase risk for Alzheimer’s disease in both populations. PLD3 is highly expressed in brain regions that are vulnerable to Alzheimer’s disease pathology, including hippocampus and cortex, and is expressed at significantly lower levels in neurons from Alzheimer’s disease brains compared to control brains. Overexpression of PLD3 leads to a significant decrease in intracellular amyloid-β precursor protein (APP) and extracellular Aβ42 and Aβ40 (the 42- and 40-residue isoforms of the amyloid-β peptide), and knockdown of PLD3 leads to a significant increase in extracellular Aβ42 and Aβ40. Together, our genetic and functional data indicate that carriers of PLD3 coding variants have a twofold increased risk for LOAD and that PLD3 influences APP processing. This study provides an example of how densely affected families may help to identify rare variants with large effects on risk for disease or other complex traits.


Gerontology | 2010

Inflammation and anti-inflammatory strategies for Alzheimer's disease--a mini-review.

Benjamin Brian Alexander McNaull; Stephen Todd; Bernadette McGuinness; Anthony Peter Passmore

Until recently, the central nervous system (CNS) has been thought to be an immune privileged organ. However, it is now understood that neuroinflammation is linked with the development of several CNS diseases including late-onset Alzheimer’s disease (LOAD). The development of inflammation is a complex process involving a wide array of molecular interactions which in the CNS remains to be further characterized. The development of neuroinflammation may represent an important link between the early stages of LOAD and its pathological outcome. It is proposed that risks for LOAD, which include genetic, biological and environmental factors can each contribute to impairment of normal CNS regulation and function. The links between risk factors and the development of neuroinflammation are numerous and involve many complex interactions which contribute to vascular compromise, oxidative stress and ultimately neuroinflammation. Once this cascade of events is initiated, the process of neuroinflammation can become overactivated resulting in further cellular damage and loss of neuronal function. Additionally, neuroinflammation has been associated with the formation of amyloid plaques and neurofibrillary tangles, the pathological hallmarks of LOAD. Increased levels of inflammatory markers have been correlated with an advanced cognitive impairment. Based on this knowledge, new therapies aimed at limiting onset of neuroinflammation could arrest or even reverse the development of the disease.


Molecular Psychiatry | 2012

Genome-wide association study of Alzheimer's disease with psychotic symptoms.

P. Hollingworth; Robert A. Sweet; Rebecca Sims; Denise Harold; Giancarlo Russo; Richard Abraham; Alexandra Stretton; Nicola L. Jones; Amy Gerrish; Jade Chapman; Dobril Ivanov; Moskvina; Simon Lovestone; P Priotsi; Michelle K. Lupton; Carol Brayne; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; David Craig; Bernadette McGuinness; Janet A. Johnston; Christopher Holmes; Gill Livingston; Nick Bass; H M D Gurling; Andrew McQuillin; Peter Holmans; Lisa Jones; Bernie Devlin

Psychotic symptoms occur in ∼40% of subjects with Alzheimers disease (AD) and are associated with more rapid cognitive decline and increased functional deficits. They show heritability up to 61% and have been proposed as a marker for a disease subtype suitable for gene mapping efforts. We undertook a combined analysis of three genome-wide association studies (GWASs) to identify loci that (1) increase susceptibility to an AD and subsequent psychotic symptoms; or (2) modify risk of psychotic symptoms in the presence of neurodegeneration caused by AD. In all, 1299 AD cases with psychosis (AD+P), 735 AD cases without psychosis (AD–P) and 5659 controls were drawn from Genetic and Environmental Risk in AD Consortium 1 (GERAD1), the National Institute on Aging Late-Onset Alzheimers Disease (NIA-LOAD) family study and the University of Pittsburgh Alzheimer Disease Research Center (ADRC) GWASs. Unobserved genotypes were imputed to provide data on >1.8 million single-nucleotide polymorphisms (SNPs). Analyses in each data set were completed comparing (1) AD+P to AD–P cases, and (2) AD+P cases with controls (GERAD1, ADRC only). Aside from the apolipoprotein E (APOE) locus, the strongest evidence for association was observed in an intergenic region on chromosome 4 (rs753129; ‘AD+PvAD–P’ P=2.85 × 10−7; ‘AD+PvControls’ P=1.11 × 10−4). SNPs upstream of SLC2A9 (rs6834555, P=3.0 × 10−7) and within VSNL1 (rs4038131, P=5.9 × 10−7) showed strongest evidence for association with AD+P when compared with controls. These findings warrant further investigation in larger, appropriately powered samples in which the presence of psychotic symptoms in AD has been well characterized.


International Journal of Geriatric Psychiatry | 2013

Cochrane review on 'Statins for the treatment of dementia'

Bernadette McGuinness; John O'Hare; David Craig; Roger Bullock; Reem Malouf; Peter Passmore

This review aimed to assess the clinical efficacy and tolerability of statins in the treatment of dementia.


Journal of Alzheimer's Disease | 2010

Can Statins Prevent or Help Treat Alzheimer's Disease?

Bernadette McGuinness; Peter Passmore

Evidence accumulating from biological and epidemiological studies suggests that high levels of serum cholesterol may promote the pathological processes that lead to Alzheimers disease (AD). Lowering cholesterol in experimental animal models slows the expression of Alzheimers pathology. These findings raise the possibility that treating humans with cholesterol lowering medications might reduce the risk of developing AD or help treat it. The statins (lovastatin, pravastatin, simvastatin, and others) are powerful cholesterol lowering agents of proven benefit in vascular disease. Several clinical studies comparing the occurrence of AD between users and non-users of statins suggested that risk of AD was substantially reduced among the users. However, because these studies were not randomized trials, they provided insufficient evidence to recommend statin therapy. Cochrane reviews are based on the best available information about healthcare interventions and they focus primarily on randomized controlled trials (RCTs). On the issue of prevention, two randomized trials have been carried out and neither showed any reduction in occurrence of AD in patients treated with statins compared to those given placebo. Statins cannot therefore be recommended for the prevention of AD. Regarding treatment of AD, the large RCTs which have assessed this outcome have not published their results. Initial analysis from the studies available indicate statins have no benefit on the outcome measure ADAS-Cog but have a significant beneficial effect on MMSE as an outcome. We need to await full results from the RCTs before we can be certain. In addition statins were not detrimental to cognition in either systematic review.


Journal of Alzheimer's Disease | 2012

The role of variation at AβPP, PSEN1, PSEN2, and MAPT in late onset Alzheimer's Disease

Amy Gerrish; Giancarlo Russo; Alexander Richards; Valentina Moskvina; Dobril Ivanov; D Harold; Rebecca Sims; Richard Abraham; Paul Hollingworth; Jade Chapman; Marian Linsday Hamshere; Jaspreet Singh Pahwa; Kimberley Dowzell; Amy Williams; Nicola L. Jones; Charlene Thomas; Alexandra Stretton; Angharad R. Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K. Lupton; Carol Brayne; David C. Rubinsztein; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle Brown; Peter Passmore

Rare mutations in AβPP, PSEN1, and PSEN2 cause uncommon early onset forms of Alzheimers disease (AD), and common variants in MAPT are associated with risk of other neurodegenerative disorders. We sought to establish whether common genetic variation in these genes confer risk to the common form of AD which occurs later in life (>65 years). We therefore tested single-nucleotide polymorphisms at these loci for association with late-onset AD (LOAD) in a large case-control sample consisting of 3,940 cases and 13,373 controls. Single-marker analysis did not identify any variants that reached genome-wide significance, a result which is supported by other recent genome-wide association studies. However, we did observe a significant association at the MAPT locus using a gene-wide approach (p = 0.009). We also observed suggestive association between AD and the marker rs9468, which defines the H1 haplotype, an extended haplotype that spans the MAPT gene and has previously been implicated in other neurodegenerative disorders including Parkinsons disease, progressive supranuclear palsy, and corticobasal degeneration. In summary common variants at AβPP, PSEN1, and PSEN2 and MAPT are unlikely to make strong contributions to susceptibility for LOAD. However, the gene-wide effect observed at MAPT indicates a possible contribution to disease risk which requires further study.


PLOS ONE | 2010

Concordant association of insulin degrading enzyme gene (IDE) variants with IDE mRNA, Abeta, and Alzheimer's disease.

Minerva M. Carrasquillo; Olivia Belbin; Fanggeng Zou; Mariet Allen; Nilufer Ertekin-Taner; Morad Ansari; Samantha L. Wilcox; Mariah R. Kashino; Li Ma; Linda Younkin; Samuel Younkin; Curtis S. Younkin; Toros Dincman; Melissa E. Howard; Chanley C. Howell; Chloë M. Stanton; Christopher M. Watson; Michael Crump; Veronique Vitart; Caroline Hayward; Nicholas D. Hastie; Igor Rudan; Harry Campbell; Ozren Polasek; Kristelle Brown; Peter Passmore; David Craig; Bernadette McGuinness; Stephen Todd; Patrick Gavin Kehoe

Background The insulin-degrading enzyme gene (IDE) is a strong functional and positional candidate for late onset Alzheimers disease (LOAD). Methodology/Principal Findings We examined conserved regions of IDE and its 10 kb flanks in 269 AD cases and 252 controls thereby identifying 17 putative functional polymorphisms. These variants formed eleven haplotypes that were tagged with ten variants. Four of these showed significant association with IDE transcript levels in samples from 194 LOAD cerebella. The strongest, rs6583817, which has not previously been reported, showed unequivocal association (p = 1.5×10−8, fold-increase = 2.12,); the eleven haplotypes were also significantly associated with transcript levels (global p = 0.003). Using an in vitro dual luciferase reporter assay, we found that rs6583817 increases reporter gene expression in Be(2)-C (p = 0.006) and HepG2 (p = 0.02) cell lines. Furthermore, using data from a recent genome-wide association study of two Croatian isolated populations (n = 1,879), we identified a proxy for rs6583817 that associated significantly with decreased plasma Aβ40 levels (ß = −0.124, p = 0.011) and total measured plasma Aβ levels (b = −0.130, p = 0.009). Finally, rs6583817 was associated with decreased risk of LOAD in 3,891 AD cases and 3,605 controls. (OR = 0.87, p = 0.03), and the eleven IDE haplotypes (global p = 0.02) also showed significant association. Conclusions Thus, a previously unreported variant unequivocally associated with increased IDE expression was also associated with reduced plasma Aß40 and decreased LOAD susceptibility. Genetic association between LOAD and IDE has been difficult to replicate. Our findings suggest that targeted testing of expression SNPs (eSNPs) strongly associated with altered transcript levels in autopsy brain samples may be a powerful way to identify genetic associations with LOAD that would otherwise be difficult to detect.

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Peter Passmore

Queen's University Belfast

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Stephen Todd

Queen's University Belfast

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David Craig

Translational Genomics Research Institute

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Janet A. Johnston

Queen's University Belfast

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Michelle K. Lupton

QIMR Berghofer Medical Research Institute

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Clive Holmes

University of Southampton

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Kevin Morgan

University of Nottingham

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