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Connection

Matthew McQueen to Databases, Genetic

This is a "connection" page, showing publications Matthew McQueen has written about Databases, Genetic.

 
Connection Strength
 
 
 
0.504
 
  1. McQueen MB, Murphy A, Kraft P, Su J, Lazarus R, Laird NM, Lange C, Van Steen K. Comparison of linkage and association strategies for quantitative traits using the COGA dataset. BMC Genet. 2005 Dec 30; 6 Suppl 1:S96.
    View in: PubMed
    Score: 0.224
  2. Lill CM, Roehr JT, McQueen MB, Kavvoura FK, Bagade S, Schjeide BM, Schjeide LM, Meissner E, Zauft U, Allen NC, Liu T, Schilling M, Anderson KJ, Beecham G, Berg D, Biernacka JM, Brice A, DeStefano AL, Do CB, Eriksson N, Factor SA, Farrer MJ, Foroud T, Gasser T, Hamza T, Hardy JA, Heutink P, Hill-Burns EM, Klein C, Latourelle JC, Maraganore DM, Martin ER, Martinez M, Myers RH, Nalls MA, Pankratz N, Payami H, Satake W, Scott WK, Sharma M, Singleton AB, Stefansson K, Toda T, Tung JY, Vance J, Wood NW, Zabetian CP, Young P, Tanzi RE, Khoury MJ, Zipp F, Lehrach H, Ioannidis JP, Bertram L. Comprehensive research synopsis and systematic meta-analyses in Parkinson's disease genetics: The PDGene database. PLoS Genet. 2012; 8(3):e1002548.
    View in: PubMed
    Score: 0.086
  3. Schjeide BM, McQueen MB, Mullin K, DiVito J, Hogan MF, Parkinson M, Hooli B, Lange C, Blacker D, Tanzi RE, Bertram L. Assessment of Alzheimer's disease case-control associations using family-based methods. Neurogenetics. 2009 Feb; 10(1):19-25.
    View in: PubMed
    Score: 0.068
  4. Allen NC, Bagade S, McQueen MB, Ioannidis JP, Kavvoura FK, Khoury MJ, Tanzi RE, Bertram L. Systematic meta-analyses and field synopsis of genetic association studies in schizophrenia: the SzGene database. Nat Genet. 2008 Jul; 40(7):827-34.
    View in: PubMed
    Score: 0.067
  5. Bertram L, McQueen MB, Mullin K, Blacker D, Tanzi RE. Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database. Nat Genet. 2007 Jan; 39(1):17-23.
    View in: PubMed
    Score: 0.060
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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