Literature DB >> 21459483

Using CSF biomarkers to replicate genetic associations in Alzheimer's disease.

Jonathan M Schott1.   

Abstract

Defining cases and controls on the basis of biomarkers rather than clinical diagnosis may reduce sample sizes required for genetic studies. The aim of this study was to assess whether characterizing case/control status on the basis of cerebrospinal fluid (CSF) profile would increase power to replicate known genetic associations for Alzheimer's disease (AD). Independent of clinical diagnosis, Alzheimer's Disease Neuroimaging Initiative (ADNI) subjects with 2 CSF biomarkers for AD (Aβ1-42 < 192 pg/mL and tau phosphorylated at threonine 181 (p-tau) > 23 pg/mL, "CSF-positive") were compared with those without CSF evidence for AD (Aβ1-42 > 192 pg/mL and 181-phosphorylated tau < 23 pg/mL, "CSF-negative"). Minor allele frequency (MAF) and odds ratios (ORs) between these 2 groups were calculated for 7 single-nucleotide polymorphisms (SNPs) of interest. Two hundred thirty-two individuals were CSF-positive and 94 CSF-negative. There were no differences in age (74.7 ± 7.2 vs. 75.0 ± 6.5 years, p = 0.7), but significant differences in Mini Mental State Examination (MMSE) (25.9 ± 2.6 vs. 28.2 ± 1.7, p < 0.001) between the CSF-positive and CSF-negative groups. Significant differences in MAF (p < 0.05, uncorrected) were seen for CR1 (rs1408077; OR, 1.59; 95% confidence interval [CI], 1.01-2.49), PICALM (rs541458; OR, 0.68, 95% CI, 0.47-0.98), TOMM40 (rs2075650; OR, 4.30; 95% CI, 2.61-7.06); and possession of 1 or more APOE ε4 alleles (OR, 9.84; 95% CI, 5.48-17.67). These results suggest that using biomarkers of AD pathology to define case and control status may increase power in genetic association studies.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21459483      PMCID: PMC3150628          DOI: 10.1016/j.neurobiolaging.2011.02.008

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  15 in total

1.  Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans.

Authors:  Andrew J Saykin; Li Shen; Tatiana M Foroud; Steven G Potkin; Shanker Swaminathan; Sungeun Kim; Shannon L Risacher; Kwangsik Nho; Matthew J Huentelman; David W Craig; Paul M Thompson; Jason L Stein; Jason H Moore; Lindsay A Farrer; Robert C Green; Lars Bertram; Clifford R Jack; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

2.  Association of CR1, CLU and PICALM with Alzheimer's disease in a cohort of clinically characterized and neuropathologically verified individuals.

Authors:  Jason J Corneveaux; Amanda J Myers; April N Allen; Jeremy J Pruzin; Manuel Ramirez; Anzhelika Engel; Michael A Nalls; Kewei Chen; Wendy Lee; Kendria Chewning; Stephen E Villa; Hunsar B Meechoovet; Jill D Gerber; Danielle Frost; Hollie L Benson; Sean O'Reilly; Lori B Chibnik; Joshua M Shulman; Andrew B Singleton; David W Craig; Kendall R Van Keuren-Jensen; Travis Dunckley; David A Bennett; Philip L De Jager; Christopher Heward; John Hardy; Eric M Reiman; Matthew J Huentelman
Journal:  Hum Mol Genet       Date:  2010-06-09       Impact factor: 6.150

3.  Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database.

Authors:  Lars Bertram; Matthew B McQueen; Kristina Mullin; Deborah Blacker; Rudolph E Tanzi
Journal:  Nat Genet       Date:  2007-01       Impact factor: 38.330

4.  Genome-wide association study of CSF biomarkers Abeta1-42, t-tau, and p-tau181p in the ADNI cohort.

Authors:  S Kim; S Swaminathan; L Shen; S L Risacher; K Nho; T Foroud; L M Shaw; J Q Trojanowski; S G Potkin; M J Huentelman; D W Craig; B M DeChairo; P S Aisen; R C Petersen; M W Weiner; A J Saykin
Journal:  Neurology       Date:  2010-12-01       Impact factor: 9.910

5.  Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease.

Authors:  Jean-Charles Lambert; Simon Heath; Gael Even; Dominique Campion; Kristel Sleegers; Mikko Hiltunen; Onofre Combarros; Diana Zelenika; Maria J Bullido; Béatrice Tavernier; Luc Letenneur; Karolien Bettens; Claudine Berr; Florence Pasquier; Nathalie Fiévet; Pascale Barberger-Gateau; Sebastiaan Engelborghs; Peter De Deyn; Ignacio Mateo; Ana Franck; Seppo Helisalmi; Elisa Porcellini; Olivier Hanon; Marian M de Pancorbo; Corinne Lendon; Carole Dufouil; Céline Jaillard; Thierry Leveillard; Victoria Alvarez; Paolo Bosco; Michelangelo Mancuso; Francesco Panza; Benedetta Nacmias; Paola Bossù; Paola Piccardi; Giorgio Annoni; Davide Seripa; Daniela Galimberti; Didier Hannequin; Federico Licastro; Hilkka Soininen; Karen Ritchie; Hélène Blanché; Jean-François Dartigues; Christophe Tzourio; Ivo Gut; Christine Van Broeckhoven; Annick Alpérovitch; Mark Lathrop; Philippe Amouyel
Journal:  Nat Genet       Date:  2009-09-06       Impact factor: 38.330

6.  Replication of CLU, CR1, and PICALM associations with alzheimer disease.

Authors:  Minerva M Carrasquillo; Olivia Belbin; Talisha A Hunter; Li Ma; Gina D Bisceglio; Fanggeng Zou; Julia E Crook; V Shane Pankratz; Dennis W Dickson; Neill R Graff-Radford; Ronald C Petersen; Kevin Morgan; Steven G Younkin
Journal:  Arch Neurol       Date:  2010-06-14

7.  Genetic variation and neuroimaging measures in Alzheimer disease.

Authors:  Alessandro Biffi; Christopher D Anderson; Rahul S Desikan; Mert Sabuncu; Lynelle Cortellini; Nick Schmansky; David Salat; Jonathan Rosand
Journal:  Arch Neurol       Date:  2010-06

8.  Diagnosis-independent Alzheimer disease biomarker signature in cognitively normal elderly people.

Authors:  Geert De Meyer; Fred Shapiro; Hugo Vanderstichele; Eugeen Vanmechelen; Sebastiaan Engelborghs; Peter Paul De Deyn; Els Coart; Oskar Hansson; Lennart Minthon; Henrik Zetterberg; Kaj Blennow; Leslie Shaw; John Q Trojanowski
Journal:  Arch Neurol       Date:  2010-08

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

Authors:  Denise Harold; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Marian L Hamshere; Jaspreet Singh Pahwa; Valentina Moskvina; Kimberley Dowzell; Amy Williams; Nicola 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 Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle S Brown; Peter A Passmore; David Craig; Bernadette McGuinness; Stephen Todd; Clive Holmes; David Mann; A David Smith; Seth Love; Patrick G Kehoe; John Hardy; Simon Mead; Nick Fox; Martin Rossor; John Collinge; Wolfgang Maier; Frank Jessen; Britta Schürmann; Reinhard Heun; Hendrik van den Bussche; Isabella Heuser; Johannes Kornhuber; Jens Wiltfang; Martin Dichgans; Lutz Frölich; Harald Hampel; Michael Hüll; Dan Rujescu; Alison M Goate; John S K Kauwe; Carlos Cruchaga; Petra Nowotny; John C Morris; Kevin Mayo; Kristel Sleegers; Karolien Bettens; Sebastiaan Engelborghs; Peter P De Deyn; Christine Van Broeckhoven; Gill Livingston; Nicholas J Bass; Hugh Gurling; Andrew McQuillin; Rhian Gwilliam; Panagiotis Deloukas; Ammar Al-Chalabi; Christopher E Shaw; Magda Tsolaki; Andrew B Singleton; Rita Guerreiro; Thomas W Mühleisen; Markus M Nöthen; Susanne Moebus; Karl-Heinz Jöckel; Norman Klopp; H-Erich Wichmann; Minerva M Carrasquillo; V Shane Pankratz; Steven G Younkin; Peter A Holmans; Michael O'Donovan; Michael J Owen; Julie Williams
Journal:  Nat Genet       Date:  2009-09-06       Impact factor: 38.330

10.  Genome-wide analysis of genetic loci associated with Alzheimer disease.

Authors:  Sudha Seshadri; Annette L Fitzpatrick; M Arfan Ikram; Anita L DeStefano; Vilmundur Gudnason; Merce Boada; Joshua C Bis; Albert V Smith; Minerva M Carassquillo; Jean Charles Lambert; Denise Harold; Elisabeth M C Schrijvers; Reposo Ramirez-Lorca; Stephanie Debette; W T Longstreth; A Cecile J W Janssens; V Shane Pankratz; Jean François Dartigues; Paul Hollingworth; Thor Aspelund; Isabel Hernandez; Alexa Beiser; Lewis H Kuller; Peter J Koudstaal; Dennis W Dickson; Christophe Tzourio; Richard Abraham; Carmen Antunez; Yangchun Du; Jerome I Rotter; Yurii S Aulchenko; Tamara B Harris; Ronald C Petersen; Claudine Berr; Michael J Owen; Jesus Lopez-Arrieta; Badri N Varadarajan; James T Becker; Fernando Rivadeneira; Michael A Nalls; Neill R Graff-Radford; Dominique Campion; Sanford Auerbach; Kenneth Rice; Albert Hofman; Palmi V Jonsson; Helena Schmidt; Mark Lathrop; Thomas H Mosley; Rhoda Au; Bruce M Psaty; Andre G Uitterlinden; Lindsay A Farrer; Thomas Lumley; Agustin Ruiz; Julie Williams; Philippe Amouyel; Steve G Younkin; Philip A Wolf; Lenore J Launer; Oscar L Lopez; Cornelia M van Duijn; Monique M B Breteler
Journal:  JAMA       Date:  2010-05-12       Impact factor: 56.272

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1.  Superficial siderosis associated with abundant τ and α-synuclein accumulation.

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Review 2.  The Role of PICALM in Alzheimer's Disease.

Authors:  Wei Xu; Lan Tan; Jin-Tai Yu
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Review 3.  2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Jesse Cedarbaum; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Johan Luthman; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie Shaw; Li Shen; Adam Schwarz; Arthur W Toga; John Q Trojanowski
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4.  Meta-analysis of association between the genetic polymorphisms on chromosome 11q and Alzheimer's disease susceptibility.

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Review 5.  The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Enchi Liu; John C Morris; Ronald C Petersen; Andrew J Saykin; Mark E Schmidt; Leslie Shaw; Li Shen; Judith A Siuciak; Holly Soares; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2013-08-07       Impact factor: 21.566

6.  TOMM40 intron 6 poly-T length, age at onset, and neuropathology of AD in individuals with APOE ε3/ε3.

Authors:  Ge Li; Lynn M Bekris; Lesley Leong; Ellen J Steinbart; Jane B Shofer; Paul K Crane; Eric B Larson; Elaine R Peskind; Thomas D Bird; Chang-En Yu
Journal:  Alzheimers Dement       Date:  2012-11-22       Impact factor: 21.566

7.  A pilot study of quantitative MRI measurements of ventricular volume and cortical atrophy for the differential diagnosis of normal pressure hydrocephalus.

Authors:  Dana W Moore; Ilhami Kovanlikaya; Linda A Heier; Ashish Raj; Chaorui Huang; King-Wai Chu; Norman R Relkin
Journal:  Neurol Res Int       Date:  2011-08-07

Review 8.  Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkers.

Authors:  Li Shen; Paul M Thompson; Steven G Potkin; Lars Bertram; Lindsay A Farrer; Tatiana M Foroud; Robert C Green; Xiaolan Hu; Matthew J Huentelman; Sungeun Kim; John S K Kauwe; Qingqin Li; Enchi Liu; Fabio Macciardi; Jason H Moore; Leanne Munsie; Kwangsik Nho; Vijay K Ramanan; Shannon L Risacher; David J Stone; Shanker Swaminathan; Arthur W Toga; Michael W Weiner; Andrew J Saykin
Journal:  Brain Imaging Behav       Date:  2014-06       Impact factor: 3.978

9.  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
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Review 10.  Genetics of Alzheimer's disease.

Authors:  Perry G Ridge; Mark T W Ebbert; John S K Kauwe
Journal:  Biomed Res Int       Date:  2013-07-25       Impact factor: 3.411

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