Neurobiology of Aging
Volume 30, Issue 7 , Pages 1037-1047, July 2009

Meta-analysis of linkage studies for Alzheimer's disease—A web resource

  • Amy W. Butler

      Affiliations

    • King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, UK
  • ,
  • Mandy Y.M. Ng

      Affiliations

    • King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, UK
  • ,
  • Marian L. Hamshere

      Affiliations

    • Department of Psychological Medicine, Cardiff University, UK
  • ,
  • Paola Forabosco

      Affiliations

    • Istituto di Genetica delle Popolazioni-CNR, Alghero, Italy
  • ,
  • Richard Wroe

      Affiliations

    • King's College London, MRC Centre for Neurodegeneration Research, Department of Neuroscience, Institute of Psychiatry, UK
  • ,
  • Ammar Al-Chalabi

      Affiliations

    • King's College London, MRC Centre for Neurodegeneration Research, Department of Neuroscience, Institute of Psychiatry, UK
  • ,
  • Cathryn M. Lewis

      Affiliations

    • King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, UK
    • King's College London, Department of Medical and Molecular Genetics, School of Medicine at Guy's, King's College and St. Thomas’ Hospital, UK
  • ,
  • John F. Powell

      Affiliations

    • King's College London, MRC Centre for Neurodegeneration Research, Department of Neuroscience, Institute of Psychiatry, UK
    • Corresponding Author InformationCorresponding author at: King's College London, Institute of Psychiatry, Box P055, De Crespigny Park, London SE5 8AF, UK. Tel.: +44 020 7848 0630; fax: +44 020 7848 0017.

Received 25 March 2008; received in revised form 17 March 2009; accepted 24 March 2009. published online 13 April 2009.

Abstract 

Familial late-onset Alzheimer's disease (LOAD) shows high heritability. However, with the exception of ApoE, no well-replicated susceptibility genes have been identified to date. Several genome-wide linkage studies have nominated potential susceptibility loci but results are inconsistent, with individual scans showing few significant LOD scores. We have pooled linkage results from five independent genome scans and used the genome search meta-analysis (GSMA) method to analyse these data. The combined sample results in 2206 affected individuals and 785 families from Caucasian and Caribbean Hispanic ethnicities. The Caucasian samples included subjects from the US, the Netherlands and Sweden. Genome-wide suggestive evidence for linkage was observed on chromosomes 1p13.3-q31.1, 7pter-p21.1 and 8p22-p21.1 in the weighted GSMA analysis. The chromosome 8p region achieved the lowest summed rank p-value of 0.001. We also identified seven loci with nominally significant evidence for linkage to 3q12.3-q22.1, 6p21.1-q15, 7p14.1-q21.11, 17q24.3-qter and 19p13.3-qter. The GSMA finding suggests that these loci may harbour susceptibility genes for LOAD. We have also developed a web resource (http://alzres.iop.kcl.ac.uk/) to present additional GSMA analyses with different study selection criteria, facilitate the reanalysis of genome-wide linkage data and provide open access to the GSMA data.

Keywords: Alzheimer's disease, Late-onset Alzheimer's disease, Linkage (genetics), Meta-analysis, Genome search meta-analysis

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PII: S0197-4580(09)00110-9

doi:10.1016/j.neurobiolaging.2009.03.013

Neurobiology of Aging
Volume 30, Issue 7 , Pages 1037-1047, July 2009