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      Familial Alzheimer’s Disease and Recessive Modifiers

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          Abstract

          Alzheimer’s disease (AD) is progressive brain disorder that affects ~ 50 million people worldwide and has no current effective treatment. AD age of onset (ADAOO) has shown to be critical for the identification of genes that modify the appearance of AD signs and symptoms in a specific population. We clinically characterized and whole-exome genotyped 71 individuals with AD from the Paisa genetic isolate, segregating the ( PSEN1) E280A dominant fully penetrant mutation, and analyzed the potential recessive effects of ~ 50,000 common functional genomic variants to the ADAOO. Standard quality control and filtering procedures were applied, and recessive single- and multi-locus linear mixed-effects models were used. We identified genetic variants in the SLC9C1, CSN1S1, and LOXL4 acting recessively to delay ADAOO up to ~ 11, ~ 6, and ~ 9 years on average, respectively. In contrast, the CC recessive genotype in marker DHRS4L2-rs2273946 accelerates ADAOO by ~ 8 years. This study, reports new recessive variants modifying ADAOO in PSEN1 E280A mutation carriers. This set of genes are implicated in important biological processes and molecular functions commonly affected by genes associated with the etiology of AD such as APP, APOE, and CLU. Future functional studies using modern techniques such as induced pluripotent stem cells will allow a better understanding of the over expression and down regulation of these recessive modifier variants and hence the pathogenesis of AD. These results are important for prediction of AD and ultimately, substantial to develop new therapeutic strategies for individuals at risk or affected by AD.

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          The online version of this article (10.1007/s12035-019-01798-0) contains supplementary material, which is available to authorized users.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            An efficient multi-locus mixed model approach for genome-wide association studies in structured populations

            Population structure causes genome-wide linkage disequilibrium between unlinked loci, leading to statistical confounding in genome-wide association studies. Mixed models have been shown to handle the confounding effects of a diffuse background of large numbers of loci of small effect well, but do not always account for loci of larger effect. Here we propose a multi-locus mixed model as a general method for mapping complex traits in structured populations. Simulations suggest that our method outperforms existing methods, in terms of power as well as false discovery rate. We apply our method to human and Arabidopsis thaliana data, identifying novel associations in known candidates as well as evidence for allelic heterogeneity. We also demonstrate how a priori knowledge from an A. thaliana linkage mapping study can be integrated into our method using a Bayesian approach. Our implementation is computationally efficient, making the analysis of large datasets (n > 10000) practicable.
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              Non-P450 aldehyde oxidizing enzymes: the aldehyde dehydrogenase superfamily.

              Aldehydes are highly reactive molecules. While several non-P450 enzyme systems participate in their metabolism, one of the most important is the aldehyde dehydrogenase (ALDH) superfamily, composed of NAD(P)+-dependent enzymes that catalyze aldehyde oxidation. This article presents a review of what is currently known about each member of the human ALDH superfamily including the pathophysiological significance of these enzymes. Relevant literature involving all members of the human ALDH family was extensively reviewed, with the primary focus on recent and novel findings. To date, 19 ALDH genes have been identified in the human genome and mutations in these genes and subsequent inborn errors in aldehyde metabolism are the molecular basis of several diseases, including Sjögren-Larsson syndrome, type II hyperprolinemia, gamma-hydroxybutyric aciduria and pyridoxine-dependent seizures. ALDH enzymes also play important roles in embryogenesis and development, neurotransmission, oxidative stress and cancer. Finally, ALDH enzymes display multiple catalytic and non-catalytic functions including ester hydrolysis, antioxidant properties, xenobiotic bioactivation and UV light absorption.
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                Author and article information

                Contributors
                mauricio.arcos@udea.edu.co
                Journal
                Mol Neurobiol
                Mol. Neurobiol
                Molecular Neurobiology
                Springer US (New York )
                0893-7648
                1559-1182
                29 October 2019
                29 October 2019
                2020
                : 57
                : 2
                : 1035-1043
                Affiliations
                [1 ]GRID grid.412188.6, ISNI 0000 0004 0486 8632, Universidad del Norte, ; Barranquilla, Colombia
                [2 ]GRID grid.412881.6, ISNI 0000 0000 8882 5269, Neuroscience Research Group, , University of Antioquia, ; Medellín, Colombia
                [3 ]GRID grid.442116.4, INPAC Research Group, , Fundación Universitaria Sanitas, ; Bogotá, Colombia
                [4 ]GRID grid.412881.6, ISNI 0000 0000 8882 5269, Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Instituto de Investigaciones Médicas (IIM), Facultad de Medicina, , Universidad de Antioquia, ; Medellín, Colombia
                Author information
                http://orcid.org/0000-0002-3146-7899
                http://orcid.org/0000-0003-3986-1484
                http://orcid.org/0000-0001-8172-5860
                http://orcid.org/0000-0002-7807-1242
                http://orcid.org/0000-0002-0777-9075
                http://orcid.org/0000-0002-8529-0574
                Article
                1798
                10.1007/s12035-019-01798-0
                7031188
                31664702
                c9728468-ae7a-4144-aa73-dd25cdf2dc49
                © The Author(s) 2019

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 24 July 2019
                : 22 September 2019
                Categories
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                © Springer Science+Business Media, LLC, part of Springer Nature 2020

                Neurosciences
                alzheimer’s disease,psen1,age of onset,recessive mutations,genetic isolates,genetic interactions

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