Finding Diagnostically Useful Patterns in Quantitative Phenotypic Data.
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Authors
Aitken, Stuart
Firth, Helen V
McRae, Jeremy
Halachev, Mihail
Kini, Usha
Parker, Michael J
Lees, Melissa M
Lachlan, Katherine
Sarkar, Ajoy
Joss, Shelagh
Splitt, Miranda
McKee, Shane
Németh, Andrea H
Scott, Richard H
Wright, Caroline F
Hurles, Matthew E
FitzPatrick, David R
DDD Study,
Publication Date
2019-11Journal Title
American journal of human genetics
ISSN
0002-9297
Volume
105
Issue
5
Pages
933-946
Language
eng
Type
Article
This Version
VoR
Physical Medium
Print-Electronic
Metadata
Show full item recordCitation
Aitken, S., Firth, H. V., McRae, J., Halachev, M., Kini, U., Parker, M. J., Lees, M. M., et al. (2019). Finding Diagnostically Useful Patterns in Quantitative Phenotypic Data.. American journal of human genetics, 105 (5), 933-946. https://doi.org/10.1016/j.ajhg.2019.09.015
Keywords
DDD Study, Humans, Dwarfism, Genetic Predisposition to Disease, Spectrin, Repressor Proteins, Bayes Theorem, Developmental Disabilities, Gene Frequency, Heterozygote, Phenotype, Mutation, Child, Female, Male, Exome, Whole Exome Sequencing
Sponsorship
Wellcome Trust (091310/Z/10/Z)
Identifiers
External DOI: https://doi.org/10.1016/j.ajhg.2019.09.015
This record's URL: https://www.repository.cam.ac.uk/handle/1810/313939
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Licence URL: https://creativecommons.org/licenses/by-nc-nd/4.0/