Connection

Christopher Mcmahan to Genome-Wide Association Study

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This is a "connection" page, showing publications Christopher Mcmahan has written about Genome-Wide Association Study.
Christopher Mcmahan
Connection Strength
0.374
Genome-Wide Association Study
  1. Predicting nicotine metabolism across ancestries using genotypes. BMC Genomics. 2022 Sep 21; 23(1):663.
    View in: PubMed
    Score: 0.183
  2. A two-phase Bayesian methodology for the analysis of binary phenotypes in genome-wide association studies. Biom J. 2020 01; 62(1):191-201.
    View in: PubMed
    Score: 0.148
  3. Genetic risk factors for colorectal cancer in multiethnic Indonesians. Sci Rep. 2021 05 11; 11(1):9988.
    View in: PubMed
    Score: 0.042
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.