4.7 Article

Genetic variants associated with Alzheimer's disease confer different cerebral cortex cell-type population structure

Journal

GENOME MEDICINE
Volume 10, Issue -, Pages -

Publisher

BMC
DOI: 10.1186/s13073-018-0551-4

Keywords

Digital deconvolution; Alzheimer's disease; Brain cellular composition; Bulk RNA-sequencing; Autosomal dominant AD; TREM2

Funding

  1. National Institutes of Health [R01-AG044546, P01-AG003991, RF1AG053303, R01-AG035083, R01-NS085419]
  2. Alzheimer's Association [NIRG-11-200110]
  3. American Federation for Aging Research
  4. BrightFocus Foundation Alzheimer's Disease Research Grant [A2013359S]
  5. NIH [K01AG046374, R01NS102272, P50 AG005681, P01 AG003991, P01 AG026276, R01 MH101454, U01AG046170]
  6. Tau Consortium
  7. Brain and Behavior Research Foundation
  8. Dominantly Inherited Alzheimer's Network (DIAN) - National Institute on Aging (NIA) [U19AG032438]
  9. German Center for Neurodegenerative Diseases (DZNE)
  10. Raul Carrea Institute for Neurological Research (FLENI)
  11. Research and Development Grants for Dementia from Japan Agency for Medical Research and Development, AMED
  12. Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI)
  13. NIA [P50 AG016574, R01 AG032990, U01 AG046139, R01 AG018023, U01 AG006576, U01 AG006786, R01 AG025711, R01 AG017216, R01 AG003949]
  14. NINDS [R01 NS080820]
  15. CurePSP Foundation
  16. Mayo Foundation
  17. National Institute of Neurological Disorders and Stroke [U24 NS072026]
  18. National Institute on Aging [P30 AG19610]
  19. Arizona Department of Health Services [211002]
  20. Arizona Biomedical Research Commission [4001, 0011, 05-901, 1001]
  21. Michael J. Fox Foundation for Parkinson's Research
  22. NIH
  23. New York Stem Cell Foundation

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Background: Alzheimer's disease (AD) is characterized by neuronal loss and astrocytosis in the cerebral cortex. However, the specific effects that pathological mutations and coding variants associated with AD have on the cellular composition of the brain are often ignored. Methods: We developed and optimized a cell-type-specific expression reference panel and employed digital deconvolution methods to determine brain cellular distribution in three independent transcriptomic studies. Results: We found that neuronal and astrocyte relative proportions differ between healthy and diseased brains and also among AD cases that carry specific genetic risk variants. Brain carriers of pathogenic mutations in APP, PSEN1, or PSEN2 presented lower neuron and higher astrocyte relative proportions compared to sporadic AD. Similarly, the APOE e4 allele also showed decreased neuronal and increased astrocyte relative proportions compared to AD noncarriers. In contrast, carriers of variants in TREM2 risk showed a lower degree of neuronal loss compared to matched AD cases in multiple independent studies. Conclusions: These findings suggest that genetic risk factors associated with AD etiology have a specific imprinting in the cellular composition of AD brains. Our digital deconvolution reference panel provides an enhanced understanding of the fundamental molecular mechanisms underlying neurodegeneration, enabling the analysis of large bulk RNA-sequencing studies for cell composition and suggests that correcting for the cellular structure when performing transcriptomic analysis will lead to novel insights of AD.

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