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Connection

Jonathan Pritchard to Gene Expression

This is a "connection" page, showing publications Jonathan Pritchard has written about Gene Expression.
Connection Strength

1.387
  1. The effect of freeze-thaw cycles on gene expression levels in lymphoblastoid cell lines. PLoS One. 2014; 9(9):e107166.
    View in: PubMed
    Score: 0.351
  2. Dissecting the regulatory architecture of gene expression QTLs. Genome Biol. 2012 Jan 31; 13(1):R7.
    View in: PubMed
    Score: 0.293
  3. Systematic differences in discovery of genetic effects on gene expression and complex traits. Nat Genet. 2023 Nov; 55(11):1866-1875.
    View in: PubMed
    Score: 0.165
  4. Genetic interactions drive heterogeneity in causal variant effect sizes for gene expression and complex traits. Am J Hum Genet. 2022 07 07; 109(7):1286-1297.
    View in: PubMed
    Score: 0.151
  5. Trans Effects on Gene Expression Can Drive Omnigenic Inheritance. Cell. 2019 05 02; 177(4):1022-1034.e6.
    View in: PubMed
    Score: 0.121
  6. Abundant contribution of short tandem repeats to gene expression variation in humans. Nat Genet. 2016 Jan; 48(1):22-9.
    View in: PubMed
    Score: 0.096
  7. The contribution of RNA decay quantitative trait loci to inter-individual variation in steady-state gene expression levels. PLoS Genet. 2012; 8(10):e1003000.
    View in: PubMed
    Score: 0.077
  8. A genome-wide study of DNA methylation patterns and gene expression levels in multiple human and chimpanzee tissues. PLoS Genet. 2011 Feb; 7(2):e1001316.
    View in: PubMed
    Score: 0.069
  9. Batch effects and the effective design of single-cell gene expression studies. Sci Rep. 2017 01 03; 7:39921.
    View in: PubMed
    Score: 0.026
  10. A statistical framework for joint eQTL analysis in multiple tissues. PLoS Genet. 2013 May; 9(5):e1003486.
    View in: PubMed
    Score: 0.020
  11. A systematic survey of loss-of-function variants in human protein-coding genes. Science. 2012 Feb 17; 335(6070):823-8.
    View in: PubMed
    Score: 0.018
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.