Protective variant for hippocampal atrophy identified by whole exome sequencing
We used whole‐exome sequencing to identify variants other than APOE associated with the rate of hippocampal atrophy in amnestic mild cognitive impairment. An in‐silico predicted missense variant in REST (rs3796529) was found exclusively in subjects with slow hippocampal volume loss and validated usi...
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Published in | Annals of neurology Vol. 77; no. 3; pp. 547 - 552 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Blackwell Publishing Ltd
01.03.2015
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0364-5134 1531-8249 1531-8249 |
DOI | 10.1002/ana.24349 |
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Summary: | We used whole‐exome sequencing to identify variants other than APOE associated with the rate of hippocampal atrophy in amnestic mild cognitive impairment. An in‐silico predicted missense variant in REST (rs3796529) was found exclusively in subjects with slow hippocampal volume loss and validated using unbiased whole‐brain analysis and meta‐analysis across 5 independent cohorts. REST is a master regulator of neurogenesis and neuronal differentiation that has not been previously implicated in Alzheimer's disease. These findings nominate REST and its functional pathways as protective and illustrate the potential of combining next‐generation sequencing with neuroimaging to discover novel disease mechanisms and potential therapeutic targets. Ann Neurol 2015;77:547–552 |
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Bibliography: | istex:CC9D7340BC2A4FC80FD4C516157438D094DA7D5D ark:/67375/WNG-FGWTQB58-Z ArticleID:ANA24349 http://adni.loni.usc.edu/wp‐content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database adni.loni.usc.edu . ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0364-5134 1531-8249 1531-8249 |
DOI: | 10.1002/ana.24349 |