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Connection

Nancy Jean Cox to Transcriptome

This is a "connection" page, showing publications Nancy Jean Cox has written about Transcriptome.
Connection Strength

1.990
  1. Three dimensional modeling of biologically relevant fluid shear stress in human renal tubule cells mimics in vivo transcriptional profiles. Sci Rep. 2021 07 07; 11(1):14053.
    View in: PubMed
    Score: 0.468
  2. Genetic risk factors for type 2 diabetes: a trans-regulatory genetic architecture? Am J Hum Genet. 2012 Sep 07; 91(3):466-77.
    View in: PubMed
    Score: 0.254
  3. Gene and phenome-based analysis of the shared genetic architecture of eye diseases. Am J Hum Genet. 2025 Feb 06; 112(2):318-331.
    View in: PubMed
    Score: 0.150
  4. Polygenic transcriptome risk scores (PTRS) can improve portability of polygenic risk scores across ancestries. Genome Biol. 2022 01 13; 23(1):23.
    View in: PubMed
    Score: 0.121
  5. Integration of genetic, transcriptomic, and clinical data provides insight into 16p11.2 and 22q11.2 CNV genes. Genome Med. 2021 10 29; 13(1):172.
    View in: PubMed
    Score: 0.120
  6. A transcriptome-wide association study identifies novel candidate susceptibility genes for prostate cancer risk. Int J Cancer. 2022 01 01; 150(1):80-90.
    View in: PubMed
    Score: 0.119
  7. A transcriptome-wide association study of Alzheimer's disease using prediction models of relevant tissues identifies novel candidate susceptibility genes. Genome Med. 2021 09 01; 13(1):141.
    View in: PubMed
    Score: 0.118
  8. Multi-tissue transcriptome analyses identify genetic mechanisms underlying neuropsychiatric traits. Nat Genet. 2019 06; 51(6):933-940.
    View in: PubMed
    Score: 0.101
  9. Imputing Gene Expression in Uncollected Tissues Within and Beyond GTEx. Am J Hum Genet. 2016 Apr 07; 98(4):697-708.
    View in: PubMed
    Score: 0.081
  10. Transcriptomic variation of pharmacogenes in multiple human tissues and lymphoblastoid cell lines. Pharmacogenomics J. 2017 03; 17(2):137-145.
    View in: PubMed
    Score: 0.080
  11. SCAN database: facilitating integrative analyses of cytosine modification and expression QTL. Database (Oxford). 2015; 2015.
    View in: PubMed
    Score: 0.076
  12. Integrative analyses of genetic variation, epigenetic regulation, and the transcriptome to elucidate the biology of platinum sensitivity. BMC Genomics. 2014 Apr 16; 15:292.
    View in: PubMed
    Score: 0.071
  13. Genetic architecture of microRNA expression: implications for the transcriptome and complex traits. Am J Hum Genet. 2012 Jun 08; 90(6):1046-63.
    View in: PubMed
    Score: 0.062
  14. On sharing quantitative trait GWAS results in an era of multiple-omics data and the limits of genomic privacy. Am J Hum Genet. 2012 Apr 06; 90(4):591-8.
    View in: PubMed
    Score: 0.062
  15. Multiomics reveal key inflammatory drivers of severe obesity: IL4R, LILRA5, and OSM. Cell Genom. 2025 Mar 12; 5(3):100784.
    View in: PubMed
    Score: 0.038
  16. A transcriptome-wide association study identifies novel blood-based gene biomarker candidates for Alzheimer's disease risk. Hum Mol Genet. 2021 12 27; 31(2):289-299.
    View in: PubMed
    Score: 0.030
  17. Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. Nat Genet. 2019 04; 51(4):659-674.
    View in: PubMed
    Score: 0.025
  18. Population differences in microRNA expression and biological implications. RNA Biol. 2011 Jul-Aug; 8(4):692-701.
    View in: PubMed
    Score: 0.015
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.