Literature DB >> 24729949

Genetic discoveries in AD using CSF amyloid and tau.

Carlos Cruchaga1, Mark T W Ebbert2, John S K Kauwe3.   

Abstract

The use of cerebrospinal fluid levels of Aβ42 and pTau181 as endophenotypes for genetic studies of Alzheimer's disease (AD) has led to successful identification of both rare and common AD risk variants. In addition, this approach has provided meaningful hypotheses for the biological mechanisms by which known AD risk variants modulate the disease process. In this article we discuss these successes and outline challenges to effective and continued applications of this approach. We contrast the statistical power of this approach with traditional case-control designs and discuss solutions to address challenges in quality control and data analysis for these phenotypes. Finally, we discuss the potential for the use of this approach with larger samples as well as the incorporation of next generation sequencing and for future work with other endophenotypes for AD.

Entities:  

Keywords:  Abeta; Abeta42; Alzheimer's disease; CSF; Cerebrospinal fluid; GWAS; LOAD; amyloid beta; endophenotype; ptau; tau

Year:  2014        PMID: 24729949      PMCID: PMC3979575          DOI: 10.1007/s40142-014-0031-0

Source DB:  PubMed          Journal:  Curr Genet Med Rep        ISSN: 2167-4876


  40 in total

1.  Cerebrospinal fluid tau, phospho-tau181 and beta-amyloid1-42 in idiopathic normal pressure hydrocephalus: a discrimination from Alzheimer's disease.

Authors:  E N Kapaki; G P Paraskevas; N G Tzerakis; C Sfagos; A Seretis; E Kararizou; D Vassilopoulos
Journal:  Eur J Neurol       Date:  2007-02       Impact factor: 6.089

2.  CSF biomarker variability in the Alzheimer's Association quality control program.

Authors:  Niklas Mattsson; Ulf Andreasson; Staffan Persson; Maria C Carrillo; Steven Collins; Sonia Chalbot; Neal Cutler; Diane Dufour-Rainfray; Anne M Fagan; Niels H H Heegaard; Ging-Yuek Robin Hsiung; Bradley Hyman; Khalid Iqbal; Stephan A Kaeser; Stephan A Käser; D Richard Lachno; Alberto Lleó; Piotr Lewczuk; José L Molinuevo; Piero Parchi; Axel Regeniter; Robert A Rissman; Robert Rissman; Hanna Rosenmann; Giuseppe Sancesario; Johannes Schröder; Leslie M Shaw; Charlotte E Teunissen; John Q Trojanowski; Hugo Vanderstichele; Manu Vandijck; Marcel M Verbeek; Henrik Zetterberg; Kaj Blennow
Journal:  Alzheimers Dement       Date:  2013-05       Impact factor: 21.566

3.  Cerebrospinal fluid tau/beta-amyloid(42) ratio as a prediction of cognitive decline in nondemented older adults.

Authors:  Anne M Fagan; Catherine M Roe; Chengjie Xiong; Mark A Mintun; John C Morris; David M Holtzman
Journal:  Arch Neurol       Date:  2007-01-08

4.  Effect of truncated-ApoE4 overexpression on tau phosphorylation in cultured N2a cells.

Authors:  Jie Zhou; Juan Chen; Youmei Feng
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2006

5.  Apolipoprotein E4 causes age- and Tau-dependent impairment of GABAergic interneurons, leading to learning and memory deficits in mice.

Authors:  Yaisa Andrews-Zwilling; Nga Bien-Ly; Qin Xu; Gang Li; Aubrey Bernardo; Seo Yeon Yoon; Daniel Zwilling; Tonya Xue Yan; Ligong Chen; Yadong Huang
Journal:  J Neurosci       Date:  2010-10-13       Impact factor: 6.167

6.  Validating predicted biological effects of Alzheimer's disease associated SNPs using CSF biomarker levels.

Authors:  John S K Kauwe; Carlos Cruchaga; Sarah Bertelsen; Kevin Mayo; Wayne Latu; Petra Nowotny; Anthony L Hinrichs; Anne M Fagan; David M Holtzman; Alison M Goate
Journal:  J Alzheimers Dis       Date:  2010       Impact factor: 4.472

7.  Variant of TREM2 associated with the risk of Alzheimer's disease.

Authors:  Thorlakur Jonsson; Hreinn Stefansson; Stacy Steinberg; Ingileif Jonsdottir; Palmi V Jonsson; Jon Snaedal; Sigurbjorn Bjornsson; Johanna Huttenlocher; Allan I Levey; James J Lah; Dan Rujescu; Harald Hampel; Ina Giegling; Ole A Andreassen; Knut Engedal; Ingun Ulstein; Srdjan Djurovic; Carla Ibrahim-Verbaas; Albert Hofman; M Arfan Ikram; Cornelia M van Duijn; Unnur Thorsteinsdottir; Augustine Kong; Kari Stefansson
Journal:  N Engl J Med       Date:  2012-11-14       Impact factor: 91.245

8.  Extreme cerebrospinal fluid amyloid beta levels identify family with late-onset Alzheimer's disease presenilin 1 mutation.

Authors:  John S K Kauwe; Sarah Jacquart; Sumi Chakraverty; Jun Wang; Kevin Mayo; Anne M Fagan; David M Holtzman; John C Morris; Alison M Goate
Journal:  Ann Neurol       Date:  2007-05       Impact factor: 10.422

9.  TREM2 variants in Alzheimer's disease.

Authors:  Rita Guerreiro; Aleksandra Wojtas; Jose Bras; Minerva Carrasquillo; Ekaterina Rogaeva; Elisa Majounie; Carlos Cruchaga; Celeste Sassi; John S K Kauwe; Steven Younkin; Lilinaz Hazrati; John Collinge; Jennifer Pocock; Tammaryn Lashley; Julie Williams; Jean-Charles Lambert; Philippe Amouyel; Alison Goate; Rosa Rademakers; Kevin Morgan; John Powell; Peter St George-Hyslop; Andrew Singleton; John Hardy
Journal:  N Engl J Med       Date:  2012-11-14       Impact factor: 91.245

10.  Genetic loci associated with Alzheimer's disease and cerebrospinal fluid biomarkers in a Finnish case-control cohort.

Authors:  Lyzel S Elias-Sonnenschein; Seppo Helisalmi; Teemu Natunen; Anette Hall; Teemu Paajanen; Sanna-Kaisa Herukka; Marjo Laitinen; Anne M Remes; Anne M Koivisto; Kari M Mattila; Terho Lehtimäki; Frans R J Verhey; Pieter Jelle Visser; Hilkka Soininen; Mikko Hiltunen
Journal:  PLoS One       Date:  2013-04-03       Impact factor: 3.240

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  5 in total

1.  Genome-wide network-based pathway analysis of CSF t-tau/Aβ1-42 ratio in the ADNI cohort.

Authors:  Wang Cong; Xianglian Meng; Jin Li; Qiushi Zhang; Feng Chen; Wenjie Liu; Ying Wang; Sipu Cheng; Xiaohui Yao; Jingwen Yan; Sungeun Kim; Andrew J Saykin; Hong Liang; Li Shen
Journal:  BMC Genomics       Date:  2017-05-30       Impact factor: 3.969

2.  Genome-wide association study of CSF levels of 59 alzheimer's disease candidate proteins: significant associations with proteins involved in amyloid processing and inflammation.

Authors:  John S K Kauwe; Matthew H Bailey; Perry G Ridge; Rachel Perry; Mark E Wadsworth; Kaitlyn L Hoyt; Lyndsay A Staley; Celeste M Karch; Oscar Harari; Carlos Cruchaga; Benjamin J Ainscough; Kelly Bales; Eve H Pickering; Sarah Bertelsen; Anne M Fagan; David M Holtzman; John C Morris; Alison M Goate
Journal:  PLoS Genet       Date:  2014-10-23       Impact factor: 5.917

3.  Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literature.

Authors:  Komandur Elayavilli Ravikumar; Kavishwar B Wagholikar; Dingcheng Li; Jean-Pierre Kocher; Hongfang Liu
Journal:  BMC Bioinformatics       Date:  2015-06-06       Impact factor: 3.169

4.  Genetic Risk as a Marker of Amyloid-β and Tau Burden in Cerebrospinal Fluid.

Authors:  Nicola Voyle; Hamel Patel; Amos Folarin; Stephen Newhouse; Caroline Johnston; Pieter Jelle Visser; Richard J B Dobson; Steven J Kiddle
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

5.  Intracellular clusterin interacts with brain isoforms of the bridging integrator 1 and with the microtubule-associated protein Tau in Alzheimer's disease.

Authors:  Yuan Zhou; Ikuo Hayashi; Jacky Wong; Katherine Tugusheva; John J Renger; Celina Zerbinatti
Journal:  PLoS One       Date:  2014-07-22       Impact factor: 3.240

  5 in total

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