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Connection

Jonathan Pritchard to Recombination, Genetic

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

0.479
  1. An approximate likelihood for genetic data under a model with recombination and population splitting. Theor Popul Biol. 2009 Jun; 75(4):331-45.
    View in: PubMed
    Score: 0.070
  2. High-resolution mapping of crossovers reveals extensive variation in fine-scale recombination patterns among humans. Science. 2008 Mar 07; 319(5868):1395-8.
    View in: PubMed
    Score: 0.065
  3. A worldwide survey of haplotype variation and linkage disequilibrium in the human genome. Nat Genet. 2006 Nov; 38(11):1251-60.
    View in: PubMed
    Score: 0.059
  4. The effects of genotype-dependent recombination, and transmission asymmetry, on linkage disequilibrium. Genetics. 2006 Mar; 172(3):2001-5.
    View in: PubMed
    Score: 0.056
  5. Coalescent-based association mapping and fine mapping of complex trait loci. Genetics. 2005 Feb; 169(2):1071-92.
    View in: PubMed
    Score: 0.052
  6. Assessing the performance of the haplotype block model of linkage disequilibrium. Am J Hum Genet. 2003 Sep; 73(3):502-15.
    View in: PubMed
    Score: 0.048
  7. Haplotype blocks and linkage disequilibrium in the human genome. Nat Rev Genet. 2003 Aug; 4(8):587-97.
    View in: PubMed
    Score: 0.047
  8. Linkage disequilibrium in humans: models and data. Am J Hum Genet. 2001 Jul; 69(1):1-14.
    View in: PubMed
    Score: 0.041
  9. Haplotypic background of a private allele at high frequency in the Americas. Mol Biol Evol. 2009 May; 26(5):995-1016.
    View in: PubMed
    Score: 0.017
  10. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics. 2003 Aug; 164(4):1567-87.
    View in: PubMed
    Score: 0.012
  11. Traces of human migrations in Helicobacter pylori populations. Science. 2003 Mar 07; 299(5612):1582-5.
    View in: PubMed
    Score: 0.012
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.