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Genetic variability in response to Aβ deposition influences Alzheimer’s risk

View ORCID ProfileDervis A. Salih, View ORCID ProfileSevinc Bayram, Manuel S. Guelfi, View ORCID ProfileRegina Reynolds, View ORCID ProfileMaryam Shoai, View ORCID ProfileMina Ryten, Jonathan Brenton, David Zhang, Mar Matarin, Juan Botia, Runil Shah, Keeley Brookes, Tamar Guetta-Baranes, Kevin Morgan, Eftychia Bellou, Damian M. Cummings, John Hardy, View ORCID ProfileFrances A. Edwards, Valentina Escott-Price
doi: https://doi.org/10.1101/437657
Dervis A. Salih
1Department of Neuroscience, Physiology and Pharmacology, UCL, Gower Street, London WC1E 6BT, UK.
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  • ORCID record for Dervis A. Salih
Sevinc Bayram
1Department of Neuroscience, Physiology and Pharmacology, UCL, Gower Street, London WC1E 6BT, UK.
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Manuel S. Guelfi
2Reta Lila Research Laboratories and Department of Molecular Neuroscience, Institute of Neurology, UCL, 1 Wakefield Street, London WC1N 1PJ, UK.
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Regina Reynolds
2Reta Lila Research Laboratories and Department of Molecular Neuroscience, Institute of Neurology, UCL, 1 Wakefield Street, London WC1N 1PJ, UK.
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  • ORCID record for Regina Reynolds
Maryam Shoai
2Reta Lila Research Laboratories and Department of Molecular Neuroscience, Institute of Neurology, UCL, 1 Wakefield Street, London WC1N 1PJ, UK.
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  • ORCID record for Maryam Shoai
Mina Ryten
2Reta Lila Research Laboratories and Department of Molecular Neuroscience, Institute of Neurology, UCL, 1 Wakefield Street, London WC1N 1PJ, UK.
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Jonathan Brenton
1Department of Neuroscience, Physiology and Pharmacology, UCL, Gower Street, London WC1E 6BT, UK.
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David Zhang
2Reta Lila Research Laboratories and Department of Molecular Neuroscience, Institute of Neurology, UCL, 1 Wakefield Street, London WC1N 1PJ, UK.
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Mar Matarin
2Reta Lila Research Laboratories and Department of Molecular Neuroscience, Institute of Neurology, UCL, 1 Wakefield Street, London WC1N 1PJ, UK.
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Juan Botia
2Reta Lila Research Laboratories and Department of Molecular Neuroscience, Institute of Neurology, UCL, 1 Wakefield Street, London WC1N 1PJ, UK.
3Department of Information and Communications Engineering, Universidad de Murcia, Spain.
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Runil Shah
2Reta Lila Research Laboratories and Department of Molecular Neuroscience, Institute of Neurology, UCL, 1 Wakefield Street, London WC1N 1PJ, UK.
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Keeley Brookes
4Human Genetics, School of Life Sciences, Life Sciences Building, University Park, University of Nottingham, Nottingham NG7 2RD, UK.
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Tamar Guetta-Baranes
4Human Genetics, School of Life Sciences, Life Sciences Building, University Park, University of Nottingham, Nottingham NG7 2RD, UK.
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Kevin Morgan
4Human Genetics, School of Life Sciences, Life Sciences Building, University Park, University of Nottingham, Nottingham NG7 2RD, UK.
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Eftychia Bellou
5Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK.
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Damian M. Cummings
1Department of Neuroscience, Physiology and Pharmacology, UCL, Gower Street, London WC1E 6BT, UK.
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John Hardy
2Reta Lila Research Laboratories and Department of Molecular Neuroscience, Institute of Neurology, UCL, 1 Wakefield Street, London WC1N 1PJ, UK.
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  • For correspondence: j.hardy@ucl.ac.uk
Frances A. Edwards
1Department of Neuroscience, Physiology and Pharmacology, UCL, Gower Street, London WC1E 6BT, UK.
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Valentina Escott-Price
5Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK.
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Abstract

Genetic analysis of late-onset Alzheimer’s disease risk has previously identified a network of largely microglial genes that form a transcriptional network. In transgenic mouse models of amyloid deposition we have previously shown that the expression of many of the mouse orthologs of these genes are co-ordinately up-regulated by amyloid deposition. Here we investigate whether systematic analysis of other members of this mouse amyloid-responsive network predicts other Alzheimer’s risk loci. This statistical comparison of the mouse amyloid-response network with Alzheimer’s disease genome-wide association studies identifies 5 other genetic risk loci for the disease (OAS1, CXCL10, LAPTM5, ITGAM and LILRB4). This work suggests that genetic variability in the microglial response to amyloid deposition is a major determinant for Alzheimer’s risk.

One Sentence Summary Identification of 5 new risk loci for Alzheimer’s by statistical comparison of mouse Aβ microglial response with gene-based SNPs from human GWAS

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Posted October 08, 2018.
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Genetic variability in response to Aβ deposition influences Alzheimer’s risk
Dervis A. Salih, Sevinc Bayram, Manuel S. Guelfi, Regina Reynolds, Maryam Shoai, Mina Ryten, Jonathan Brenton, David Zhang, Mar Matarin, Juan Botia, Runil Shah, Keeley Brookes, Tamar Guetta-Baranes, Kevin Morgan, Eftychia Bellou, Damian M. Cummings, John Hardy, Frances A. Edwards, Valentina Escott-Price
bioRxiv 437657; doi: https://doi.org/10.1101/437657
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Genetic variability in response to Aβ deposition influences Alzheimer’s risk
Dervis A. Salih, Sevinc Bayram, Manuel S. Guelfi, Regina Reynolds, Maryam Shoai, Mina Ryten, Jonathan Brenton, David Zhang, Mar Matarin, Juan Botia, Runil Shah, Keeley Brookes, Tamar Guetta-Baranes, Kevin Morgan, Eftychia Bellou, Damian M. Cummings, John Hardy, Frances A. Edwards, Valentina Escott-Price
bioRxiv 437657; doi: https://doi.org/10.1101/437657

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