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Connection

Patrick Carry to Genome-Wide Association Study

This is a "connection" page, showing publications Patrick Carry has written about Genome-Wide Association Study.

 
Connection Strength
 
 
 
0.744
 
  1. Carry PM, Vanderlinden LA, Dong F, Buckner T, Litkowski E, Vigers T, Norris JM, Kechris K. Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data. Genet Epidemiol. 2021 09; 45(6):593-603.
    View in: PubMed
    Score: 0.493
  2. Walker-Short E, Buckner T, Vigers T, Carry P, Vanderlinden LA, Dong F, Johnson RK, Yang IV, Kechris K, Rewers M, Norris JM. Epigenome-Wide Association Study of Infant Feeding and DNA Methylation in Infancy and Childhood in a Population at Increased Risk for Type 1 Diabetes. Nutrients. 2021 Nov 13; 13(11).
    View in: PubMed
    Score: 0.127
  3. Carry PM, Terhune EA, Trahan GD, Vanderlinden LA, Wethey CI, Ebrahimi P, McGuigan F, ?kesson K, Hadley-Miller N. Severity of Idiopathic Scoliosis Is Associated with Differential Methylation: An Epigenome-Wide Association Study of Monozygotic Twins with Idiopathic Scoliosis. Genes (Basel). 2021 07 30; 12(8).
    View in: PubMed
    Score: 0.124
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.

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