Výsledky vyhledávání - "R Newbury-Ecob"

Finding Diagnostically Useful Patterns in Quantitative Phenotypic Data

Autor: Stuart Aitken, Helen V. Firth, Jeremy McRae, Mihail Halachev, Usha Kini, Michael J. Parker, Melissa M. Lees, Katherine Lachlan, Ajoy Sarkar, Shelagh Joss, Miranda Splitt, Shane McKee, Andrea H. Németh, Richard H. Scott, Caroline F. Wright, Joseph A. Marsh, Matthew E. Hurles, David R. FitzPatrick, T.W. Fitzgerald, S.S. Gerety, W.D. Jones, M. van Kogelenberg, D.A. King, J. McRae, K.I. Morley, V. Parthiban, S. Al-Turki, K. Ambridge, D.M. Barrett, T. Bayzetinova, S. Clayton, E.L. Coomber, S. Gribble, P. Jones, N. Krishnappa, L.E. Mason, A. Middleton, R. Miller, E. Prigmore, D. Rajan, A. Sifrim, A.R. Tivey, M. Ahmed, N. Akawi, R. Andrews, U. Anjum, H. Archer, R. Armstrong, M. Balasubramanian, R. Banerjee, D. Barelle, P. Batstone, D. Baty, C. Bennett, J. Berg, B. Bernhard, A.P. Bevan, E. Blair, M. Blyth, D. Bohanna, L. Bourdon, D. Bourn, A. Brady, E. Bragin, C. Brewer, L. Brueton, K. Brunstrom, S.J. Bumpstead, D.J. Bunyan, J. Burn, J. Burton, N. Canham, B. Castle, K. Chandler, S. Clasper, J. Clayton-Smith, T. Cole, A. Collins, M.N. Collinson, F. Connell, N. Cooper, H. Cox, L. Cresswell, G. Cross, Y. Crow, P.M. D’Alessandro, T. Dabir, R. Davidson, S. Davies, J. Dean, C. Deshpande, G. Devlin, A. Dixit, A. Dominiczak, C. Donnelly, D. Donnelly, A. Douglas, A. Duncan, J. Eason, S. Edkins, S. Ellard, P. Ellis, F. Elmslie, K. Evans, S. Everest, T. Fendick, R. Fisher, F. Flinter, N. Foulds, A. Fryer, B. Fu, C. Gardiner, L. Gaunt, N. Ghali, R. Gibbons, S.L. Gomes Pereira, J. Goodship, D. Goudie, E. Gray, P. Greene, L. Greenhalgh, L. Harrison, R. Hawkins, S. Hellens, A. Henderson, E. Hobson, S. Holden, S. Holder, G. Hollingsworth, T. Homfray, M. Humphreys, J. Hurst, S. Ingram, M. Irving, J. Jarvis, L. Jenkins, D. Johnson, D. Jones, E. Jones, D. Josifova, S. Joss, B. Kaemba, S. Kazembe, B. Kerr, U. Kini, E. Kinning, G. Kirby, C. Kirk, E. Kivuva, A. Kraus, D. Kumar, K. Lachlan, W. Lam, A. Lampe, C. Langman, M. Lees, D. Lim, G. Lowther, S.A. Lynch, A. Magee, E. Maher, S. Mansour, K. Marks, K. Martin, U. Maye, E. McCann, V. McConnell, M. McEntagart, R. McGowan, K. McKay, S. McKee, D.J. McMullan, S. McNerlan, S. Mehta, K. Metcalfe, E. Miles, S. Mohammed, T. Montgomery, D. Moore, S. Morgan, A. Morris, J. Morton, H. Mugalaasi, V. Murday, L. Nevitt, R. Newbury-Ecob, A. Norman, R. O’Shea, C. Ogilvie, S. Park, M.J. Parker, C. Patel, J. Paterson, S. Payne, J. Phipps, D.T. Pilz, D. Porteous, N. Pratt, K. Prescott, S. Price, A. Pridham, A. Proctor, H. Purnell, N. Ragge, J. Rankin, L. Raymond, D. Rice, L. Robert, E. Roberts, G. Roberts, J. Roberts, P. Roberts, A. Ross, E. Rosser, A. Saggar, S. Samant, R. Sandford, A. Sarkar, S. Schweiger, C. Scott, R. Scott, A. Selby, A. Seller, C. Sequeira, N. Shannon, S. Sharif, C. Shaw-Smith, E. Shearing, D. Shears, I. Simonic, D. Simpkin, R. Singzon, Z. Skitt, A. Smith, B. Smith, K. Smith, S. Smithson, L. Sneddon, M. Splitt, M. Squires, F. Stewart, H. Stewart, M. Suri, V. Sutton, G.J. Swaminathan, E. Sweeney, K. Tatton-Brown, C. Taylor, R. Taylor, M. Tein, I.K. Temple, J. Thomson, J. Tolmie, A. Torokwa, B. Treacy, C. Turner, P. Turnpenny, C. Tysoe, A. Vandersteen, P. Vasudevan, J. Vogt, E. Wakeling, D. Walker, J. Waters, A. Weber, D. Wellesley, M. Whiteford, S. Widaa, S. Wilcox, D. Williams, N. Williams, G. Woods, C. Wragg, M. Wright, F. Yang, M. Yau, N.P. Carter, M. Parker, H.V. Firth, D.R. FitzPatrick, C.F. Wright, J.C. Barrett, M.E. Hurles

Publikováno v: American Journal of Human Genetics
Aitken, J, Firth, H V, McRae, J, Halachev, M, Kini, U, Parker, M J, Lees, M M, Lachlan, K, Sarkar, A, Joss, S, Splitt, M, McKee, S, Németh, A H, Scott, R H, Wright, C F, Marsh, J, Hurles, M E, FitzPatrick, D 2019, ' Finding Diagnostically Useful Patterns in Quantitative Phenotypic Data ', American Journal of Human Genetics . https://doi.org/10.1016/j.ajhg.2019.09.015

Trio-based whole-exome sequence (WES) data have established confident genetic diagnoses in ∼40% of previously undiagnosed individuals recruited to the Deciphering Developmental Disorders (DDD) study. Here we aim to use the breadth of phenotypic inf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8438162f307fa6cb5836ae7a28494148
https://doi.org/10.1016/j.ajhg.2019.09.015

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