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Connection

David Bennett to Transcriptome

This is a "connection" page, showing publications David Bennett has written about Transcriptome.
Connection Strength

3.603
  1. Gene expression and DNA methylation are extensively coordinated with MRI-based brain microstructural characteristics. Brain Imaging Behav. 2019 Aug; 13(4):963-972.
    View in: PubMed
    Score: 0.646
  2. The Caribbean-Hispanic Alzheimer's disease brain transcriptome reveals ancestry-specific disease mechanisms. Neurobiol Dis. 2023 01; 176:105938.
    View in: PubMed
    Score: 0.204
  3. Atlas of RNA editing events affecting protein expression in aged and Alzheimer's disease human brain tissue. Nat Commun. 2021 12 02; 12(1):7035.
    View in: PubMed
    Score: 0.190
  4. Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer's dementia. PLoS Genet. 2021 04; 17(4):e1009482.
    View in: PubMed
    Score: 0.181
  5. Genetic control of the human brain proteome. Am J Hum Genet. 2021 03 04; 108(3):400-410.
    View in: PubMed
    Score: 0.180
  6. Deconvolving the contributions of cell-type heterogeneity on cortical gene expression. PLoS Comput Biol. 2020 08; 16(8):e1008120.
    View in: PubMed
    Score: 0.174
  7. Meta-Analysis of the Alzheimer's Disease Human Brain Transcriptome and Functional Dissection in Mouse Models. Cell Rep. 2020 07 14; 32(2):107908.
    View in: PubMed
    Score: 0.173
  8. Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks. PLoS Comput Biol. 2020 04; 16(4):e1007771.
    View in: PubMed
    Score: 0.169
  9. Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer's disease. Nat Med. 2020 01; 26(1):131-142.
    View in: PubMed
    Score: 0.167
  10. Using Transcriptomic Hidden Variables to Infer Context-Specific Genotype Effects in the Brain. Am J Hum Genet. 2019 09 05; 105(3):562-572.
    View in: PubMed
    Score: 0.162
  11. Integrating Gene and Protein Expression Reveals Perturbed Functional Networks in Alzheimer's Disease. Cell Rep. 2019 07 23; 28(4):1103-1116.e4.
    View in: PubMed
    Score: 0.161
  12. TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits. Am J Hum Genet. 2019 08 01; 105(2):258-266.
    View in: PubMed
    Score: 0.160
  13. Single-cell transcriptomic analysis of Alzheimer's disease. Nature. 2019 06; 570(7761):332-337.
    View in: PubMed
    Score: 0.159
  14. A transcriptomic atlas of aged human microglia. Nat Commun. 2018 02 07; 9(1):539.
    View in: PubMed
    Score: 0.146
  15. An xQTL map integrates the genetic architecture of the human brain's transcriptome and epigenome. Nat Neurosci. 2017 Oct; 20(10):1418-1426.
    View in: PubMed
    Score: 0.142
  16. Differential transcriptome expression in human nucleus accumbens as a function of loneliness. Mol Psychiatry. 2017 07; 22(7):1069-1078.
    View in: PubMed
    Score: 0.134
  17. Inferring protein expression changes from mRNA in Alzheimer's dementia using deep neural networks. Nat Commun. 2022 02 03; 13(1):655.
    View in: PubMed
    Score: 0.048
  18. Integration of GWAS and brain transcriptomic analyses in a multiethnic sample of 35,245 older adults identifies DCDC2 gene as predictor of episodic memory maintenance. Alzheimers Dement. 2022 10; 18(10):1797-1811.
    View in: PubMed
    Score: 0.048
  19. Cascading epigenomic analysis for identifying disease genes from the regulatory landscape of GWAS variants. PLoS Genet. 2021 11; 17(11):e1009918.
    View in: PubMed
    Score: 0.047
  20. Sex-Specific Association of the X Chromosome With Cognitive Change and Tau Pathology in Aging and Alzheimer Disease. JAMA Neurol. 2021 10 01; 78(10):1249-1254.
    View in: PubMed
    Score: 0.047
  21. Neuroticism alters the transcriptome of the frontal cortex to contribute to the cognitive decline and onset of Alzheimer's disease. Transl Psychiatry. 2021 02 24; 11(1):139.
    View in: PubMed
    Score: 0.045
  22. Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary Statistics. Am J Hum Genet. 2020 10 01; 107(4):714-726.
    View in: PubMed
    Score: 0.044
  23. Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer's disease susceptibility. Nat Genet. 2018 11; 50(11):1584-1592.
    View in: PubMed
    Score: 0.038
  24. The human brainome: network analysis identifies HSPA2 as a novel Alzheimer’s disease target. Brain. 2018 09 01; 141(9):2721-2739.
    View in: PubMed
    Score: 0.038
  25. A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer's disease. Nat Neurosci. 2018 06; 21(6):811-819.
    View in: PubMed
    Score: 0.037
  26. Diurnal and seasonal molecular rhythms in human neocortex and their relation to Alzheimer's disease. Nat Commun. 2017 04 03; 8:14931.
    View in: PubMed
    Score: 0.034
  27. Methylomic profiling implicates cortical deregulation of ANK1 in Alzheimer's disease. Nat Neurosci. 2014 Sep; 17(9):1164-70.
    View in: PubMed
    Score: 0.029
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.