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Alzheimer disease

'Generation Next' in Alzheimer disease genetic studies

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A recent study has used whole-exome sequencing, an 'extreme trait' design and imaging genetics to identify coding variants associated with hippocampal volume loss in Alzheimer disease. The research highlights the utility of next-generation sequencing and association studies involving quantitative traits for discovery of disease-related variants in neurodegeneration.

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References

  1. Nho, K. et al. Whole-exome sequencing and imaging genetics identify functional variants for rate of change in hippocampal volume in mild cognitive impairment. Mol. Psychiatry http://dx.doi.org/10.1038/mp.2013.24.

  2. Harold, D. et al. Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease. Nat. Genet. 41, 1088–1093 (2009).

    Article  CAS  Google Scholar 

  3. Hollingworth, P. et al. Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease. Nat. Genet. 43, 429–435 (2011).

    Article  CAS  Google Scholar 

  4. Apostolova, L. G. et al. Subregional hippocampal atrophy predicts Alzheimer's dementia in the cognitively normal. Neurobiol. Aging 31, 1077–1088 (2010).

    Article  Google Scholar 

  5. Jack, C. R. Jr et al. Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD. Neurology 62, 591–600 (2004).

    Article  Google Scholar 

  6. Andrawis, J. P. et al. Effects of ApoE4 and maternal history of dementia on hippocampal atrophy. Neurobiol. Aging 33, 856–866 (2012).

    Article  CAS  Google Scholar 

  7. Sabuncu, M. R. et al. The association between a polygenic Alzheimer score and cortical thickness in clinically normal subjects. Cereb. Cortex 22, 2653–2661 (2012).

    Article  Google Scholar 

  8. Potkin, S. G. et al. Hippocampal atrophy as a quantitative trait in a genome-wide association study identifying novel susceptibility genes for Alzheimer's disease. PLoS ONE 4, e6501 (2009).

    Article  Google Scholar 

  9. Stein, J. L. et al. Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease. Neuroimage 51, 542–554 (2010).

    Article  CAS  Google Scholar 

  10. Pomara, N. et al. TOMM40 poly-T variants and cerebrospinal fluid amyloid beta levels in the elderly. Neurochem. Res. 36, 1124–1128 (2011).

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Mary S. Easton Center for Alzheimer's Disease Research, 2nd floor, 10911 Weyburn Avenue, Los Angeles, 90095, CA, USA

    Liana G. Apostolova

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  1. Liana G. Apostolova
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Apostolova, L. 'Generation Next' in Alzheimer disease genetic studies. Nat Rev Neurol 9, 422–423 (2013). https://doi.org/10.1038/nrneurol.2013.133

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