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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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Phenotype of CNTNAP1: a study of patients demonstrating a specific severe congenital hypomyelinating neuropathy with survival beyond infancy

Autor: K J, Low, K, Stals, R, Caswell, M, Wakeling, J, Clayton-Smith, A, Donaldson, N, Foulds, A, Norman, M, Splitt, K, Urankar, K, Vijayakumar, A, Majumdar, Ddd, Study, S, Ellard, S F, Smithson

Publikováno v: European journal of human genetics : EJHG. 26(6)

CHN is genetically heterogeneous and its genetic basis is difficult to determine on features alone. CNTNAP1 encodes CASPR, integral in the paranodal junction high molecular mass complex. Nineteen individuals with biallelic variants have been describe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::a27f37d237415cc849dfad3e6e7b3454
https://pubmed.ncbi.nlm.nih.gov/29511323

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