The role of clusterin, complement receptor 1, and phosphatidylinositol binding clathrin assembly protein in Alzheimer disease risk and cerebrospinal fluid biomarker levels.

CONTEXT Two recent and simultaneously published genome-wide association studies independently implicated clusterin (CLU), complement receptor 1 (CR1), and phosphatidylinositol binding clathrin assembly protein (PICALM) as putative novel Alzheimer disease (AD) risk loci. Despite their strong statistical support, all 3 signals emerged from heterogeneous case-control populations and lack replication in different settings. OBJECTIVE To determine whether genetic variants in CLU, CR1, and PICALM confer risk for AD in independent data sets (n = 4254) and to test the impact of these markers on cerebrospinal fluid (CSF)-Aβ42 and total-tau protein levels (n = 425). DESIGN Genetic association study using family-based and case-control designs. SETTING Ambulatory or hospitalized care. PARTICIPANTS Family samples originate from mostly multiplex pedigrees recruited at different centers in the United States (1245 families, 2654 individuals with AD, and 1175 unaffected relatives). Unrelated case-control subjects originate from 1 clinical center in Germany (214 individuals with AD and 211 controls). All subjects were of European descent. MAIN OUTCOME MEASURES The association between 5 genetic variants in CLU, CR1, and PICALM and risk for AD, and the correlation between these 5 genetic variants and CSF-Aβ42 and tau levels. RESULTS All 3 investigated loci showed significant associations between risk for AD (1-tailed P values ranging from <.001 to .02) and consistent effect sizes and direction. For each locus, the overall evidence of association was substantially strengthened on meta-analysis of all available data (2-tailed P values ranging from 1.1 × 10(-16) to 4.1 × 10⁻⁷). Of all markers tested, only rs541458 in PICALM was shown to have an effect on CSF protein levels, suggesting that the AD risk allele is associated with decreased CSF Aβ42 levels (2-tailed P = .002). CONCLUSIONS This study provides compelling independent evidence that genetic variants in CLU, CR1, and PICALM are genetically associated with risk for AD. Furthermore, the CSF biomarker analyses provide a first insight into the potentially predominant pathogenetic mechanism(s) underlying the association between AD risk and PICALM.

[1]  Lars Bertram,et al.  Genome-wide association studies in Alzheimer's disease. , 2009, Human molecular genetics.

[2]  Nick C Fox,et al.  Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease, and shows evidence for additional susceptibility genes , 2009, Nature Genetics.

[3]  Siobhan M. Dolan,et al.  Genome-Wide Association Studies, Field Synopses, and the Development of the Knowledge Base on Genetic Variation and Human Diseases , 2009, American journal of epidemiology.

[4]  John P. A. Ioannidis,et al.  Validating, augmenting and refining genome-wide association signals , 2009, Nature Reviews Genetics.

[5]  D. Blacker,et al.  Assessment of Alzheimer’s disease case–control associations using family-based methods , 2009, neurogenetics.

[6]  Lars Lannfelt,et al.  Genetic Analysis of Alzheimer’s Disease in the Uppsala Longitudinal Study of Adult Men , 2009, Dementia and Geriatric Cognitive Disorders.

[7]  R. Tanzi,et al.  Thirty years of Alzheimer's disease genetics: the implications of systematic meta-analyses , 2008, Nature Reviews Neuroscience.

[8]  John P A Ioannidis,et al.  Systematic meta-analyses and field synopsis of genetic association studies in schizophrenia: the SzGene database , 2008, Nature Genetics.

[9]  M. McCarthy,et al.  Genome-wide association studies for complex traits: consensus, uncertainty and challenges , 2008, Nature Reviews Genetics.

[10]  Siobhan M. Dolan,et al.  Assessment of cumulative evidence on genetic associations: interim guidelines. , 2008, International journal of epidemiology.

[11]  P. Scheltens,et al.  Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria , 2007, The Lancet Neurology.

[12]  Winnie S. Liang,et al.  GAB2 Alleles Modify Alzheimer's Risk in APOE ɛ4 Carriers , 2007, Neuron.

[13]  Roger M Harbord,et al.  A modified test for small‐study effects in meta‐analyses of controlled trials with binary endpoints , 2006, Statistics in medicine.

[14]  D. Schöttle,et al.  The Neurofilament Heavy Chain (NfHSMI35) in the Cerebrospinal Fluid Diagnosis of Alzheimer’s Disease , 2006, Dementia and Geriatric Cognitive Disorders.

[15]  N. Laird,et al.  Family-based designs in the age of large-scale gene-association studies , 2006, Nature Reviews Genetics.

[16]  D. Blacker,et al.  Family-based association between Alzheimer's disease and variants in UBQLN1. , 2005, The New England journal of medicine.

[17]  M. Trojano,et al.  Quality Assurance for Cerebrospinal Fluid Protein Analysis: International Consensus by an Internet-Based Group Discussion , 2003, Clinical chemistry and laboratory medicine.

[18]  J. Wiltfang,et al.  Tau protein and 14-3-3 protein in the differential diagnosis of Creutzfeldt–Jakob disease , 2002, Neurology.

[19]  N M Laird,et al.  Family-based tests of association in the presence of linkage. , 2000, American journal of human genetics.

[20]  J. Kornhuber,et al.  Decreased β-amyloid1-42 in cerebrospinal fluid of patients with Creutzfeldt-Jakob disease , 2000, Neurology.

[21]  J. Rowley,et al.  The t(10;11)(p13;q14) in the U937 cell line results in the fusion of the AF10 gene and CALM, encoding a new member of the AP-3 clathrin assembly protein family. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[22]  M. Albert,et al.  Reliability and validity of NINCDS-ADRDA criteria for Alzheimer's disease. The National Institute of Mental Health Genetics Initiative. , 1994, Archives of neurology.

[23]  S. Squazzo,et al.  Evidence that production and release of amyloid beta-protein involves the endocytic pathway. , 1994, The Journal of biological chemistry.

[24]  N. Laird,et al.  Meta-analysis in clinical trials. , 1986, Controlled clinical trials.

[25]  M. Folstein,et al.  Clinical diagnosis of Alzheimer's disease , 1984, Neurology.

[26]  W. M. van der Flier,et al.  CSF biomarkers in Alzheimer's disease and controls: associations with APOE genotype are modified by age. , 2009, Journal of Alzheimer's disease : JAD.

[27]  A. J. Slater,et al.  Candidate single-nucleotide polymorphisms from a genomewide association study of Alzheimer disease. , 2008, Archives of neurology.

[28]  D. Blacker,et al.  Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database , 2007, Nature Genetics.

[29]  I. López-Coviella,et al.  Inhibition of dynamin-dependent endocytosis increases shedding of the amyloid precursor protein ectodomain and reduces generation of amyloid β protein , 2005 .

[30]  M A Pericak-Vance,et al.  Association of apolipoprotein E allele epsilon 4 with late-onset familial and sporadic Alzheimer's disease. , 1993, Neurology.