Jonathan K. Pritchard

Jonathan Karl Pritchard is an English-born professor of genetics at Stanford University, best known for his development of the STRUCTURE algorithm for studying population structure and his work on human genetic variation and evolution. His research interests lie in the study of human evolution, in particular in understanding the association between genetic variation among human individuals and human traits. Provided by Wikipedia
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  1. 1
    Rapid evolution of the human mutation spectrum
    by Kelley Harris, Jonathan K Pritchard
    Published 2017-04-01
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    Article
  2. 2
    Adaptive evolution of conserved noncoding elements in mammals.
    by Su Yeon Kim, Jonathan K Pritchard
    Published 2007-09-01
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  3. 3
    Inference of population splits and mixtures from genome-wide allele frequency data.
    by Joseph K Pickrell, Jonathan K Pritchard
    Published 2012-01-01
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  4. 4
    Confounding from cryptic relatedness in case-control association studies.
    by Benjamin F Voight, Jonathan K Pritchard
    Published 2005-09-01
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  5. 5
    Mutation Rate Variation is a Primary Determinant of the Distribution of Allele Frequencies in Humans.
    by Arbel Harpak, Anand Bhaskar, Jonathan K Pritchard
    Published 2016-12-01
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    Article
  6. 6
    The genetic and mechanistic basis for variation in gene regulation.
    by Athma A Pai, Jonathan K Pritchard, Yoav Gilad
    Published 2015-01-01
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    Article
  7. 7
    The effect of freeze-thaw cycles on gene expression levels in lymphoblastoid cell lines.
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    Article
  8. 8
    Correction: A Map of Recent Positive Selection in the Human Genome.
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  9. 9
    Correction: A Map of Recent Positive Selection in the Human Genome.
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  10. 10
    GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background
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  11. 11
    The functional consequences of variation in transcription factor binding.
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  12. 12
    A map of recent positive selection in the human genome.
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  13. 13
    Noisy splicing drives mRNA isoform diversity in human cells.
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  14. 14
    msCentipede: Modeling Heterogeneity across Genomic Sites and Replicates Improves Accuracy in the Inference of Transcription Factor Binding.
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  15. 15
    Post-translational buffering leads to convergent protein expression levels between primates
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  16. 16
    Whole Genome Sequencing Identifies a Novel Factor Required for Secretory Granule Maturation in Tetrahymena thermophila
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  17. 17
    Variable prediction accuracy of polygenic scores within an ancestry group
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  18. 18
    A genome-wide study of DNA methylation patterns and gene expression levels in multiple human and chimpanzee tissues.
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  19. 19
    Clines, clusters, and the effect of study design on the inference of human population structure.
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  20. 20
    Exon-specific QTLs skew the inferred distribution of expression QTLs detected using gene expression array data.
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