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Connection

Mary McPeek to Phenotype

This is a "connection" page, showing publications Mary McPeek has written about Phenotype.
Connection Strength

1.000
  1. MASTOR: mixed-model association mapping of quantitative traits in samples with related individuals. Am J Hum Genet. 2013 May 02; 92(5):652-66.
    View in: PubMed
    Score: 0.288
  2. BRASS: Permutation methods for binary traits in genetic association studies with structured samples. PLoS Genet. 2023 Nov; 19(11):e1011020.
    View in: PubMed
    Score: 0.149
  3. L-GATOR: Genetic Association Testing for a Longitudinally Measured Quantitative Trait in Samples with Related Individuals. Am J Hum Genet. 2018 04 05; 102(4):574-591.
    View in: PubMed
    Score: 0.101
  4. CERAMIC: Case-Control Association Testing in Samples with Related Individuals, Based on Retrospective Mixed Model Analysis with Adjustment for Covariates. PLoS Genet. 2016 Oct; 12(10):e1006329.
    View in: PubMed
    Score: 0.091
  5. Retrospective Association Analysis of Binary Traits: Overcoming Some Limitations of the Additive Polygenic Model. Hum Hered. 2015; 80(4):187-95.
    View in: PubMed
    Score: 0.091
  6. Retrospective Binary-Trait Association Test Elucidates Genetic Architecture of Crohn Disease. Am J Hum Genet. 2016 Feb 04; 98(2):243-55.
    View in: PubMed
    Score: 0.087
  7. Robust rare variant association testing for quantitative traits in samples with related individuals. Genet Epidemiol. 2014 Jan; 38(1):10-20.
    View in: PubMed
    Score: 0.075
  8. XM: association testing on the X-chromosome in case-control samples with related individuals. Genet Epidemiol. 2012 Jul; 36(5):438-50.
    View in: PubMed
    Score: 0.067
  9. Optimal allele-sharing statistics for genetic mapping using affected relatives. Genet Epidemiol. 1999; 16(3):225-49.
    View in: PubMed
    Score: 0.027
  10. Two-way mixed-effects methods for joint association analysis using both host and pathogen genomes. Proc Natl Acad Sci U S A. 2018 06 12; 115(24):E5440-E5449.
    View in: PubMed
    Score: 0.026
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.