Works matching DE "GENETIC pleiotropy"

Results: 684
    1
    2

    FIRE: functional inference of genetic variants that regulate gene expression.

    Published in:
    Bioinformatics, 2017, v. 33, n. 24, p. 3895, doi. 10.1093/bioinformatics/btx534
    By:
    • Ioannidis, Nilah M.;
    • Davis, Joe R.;
    • DeGorter, Marianne K.;
    • Larson, Nicholas B.;
    • McDonnell, Shannon K.;
    • French, Amy J.;
    • Battle, Alexis J.;
    • Hastie, Trevor J.;
    • Thibodeau, Stephen N.;
    • Montgomery, Stephen B.;
    • Bustamante, Carlos D.;
    • Sieh, Weiva;
    • Whittemore, Alice S.
    Publication type:
    Article
    3
    4
    5
    6
    7
    8
    9
    10
    11
    12

    PAX6, brain structure and function in human adults: advanced MRI in aniridia.

    Published in:
    Annals of Clinical & Translational Neurology, 2016, v. 3, n. 5, p. 314, doi. 10.1002/acn3.297
    By:
    • Yogarajah, Mahinda;
    • Matarin, Mar;
    • Vollmar, Christian;
    • Thompson, Pamela J.;
    • Duncan, John S.;
    • Symms, Mark;
    • Moore, Anthony T.;
    • Liu, Joan;
    • Thom, Maria;
    • Heyningen, Veronica;
    • Sisodiya, Sanjay M.
    Publication type:
    Article
    13
    14
    15
    16
    17
    18
    19
    20
    21
    22
    23
    24
    25
    26
    27
    28
    29
    30
    31
    32
    33
    34
    35
    36
    37
    38

    Combining multi-OMICs information to identify key-regulator genes for pleiotropic effect on fertility and production traits in beef cattle.

    Published in:
    PLoS ONE, 2018, v. 13, n. 10, p. 1, doi. 10.1371/journal.pone.0205295
    By:
    • Fonseca, Pablo Augusto de Souza;
    • Id-Lahoucine, Samir;
    • Reverter, Antonio;
    • Medrano, Juan F.;
    • Fortes, Marina S.;
    • Casellas, Joaquim;
    • Miglior, Filippo;
    • Brito, Luiz;
    • Carvalho, Maria Raquel S.;
    • Schenkel, Flávio S.;
    • Nguyen, Loan T.;
    • Porto-Neto, Laercio R.;
    • Thomas, Milton G.;
    • Cánovas, Angela
    Publication type:
    Article
    39
    40
    41
    42
    43

    eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants.

    Published in:
    BMC Medical Genomics, 2016, v. 9, p. 19, doi. 10.1186/s12920-016-0191-8
    By:
    • Verma, Anurag;
    • Verma, Shefali S.;
    • Pendergrass, Sarah A.;
    • Crawford, Dana C.;
    • Crosslin, David R.;
    • Kuivaniemi, Helena;
    • Bush, William S.;
    • Bradford, Yuki;
    • Kullo, Iftikhar;
    • Bielinski, Suzette J.;
    • Rongling Li;
    • Denny, Joshua C.;
    • Peissig, Peggy;
    • Hebbring, Scott;
    • De Andrade, Mariza;
    • Ritchie, Marylyn D.;
    • Tromp, Gerard
    Publication type:
    Article
    44
    45
    46
    47
    48
    49
    50