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Bayesian approach to determining penetrance of pathogenic S..:
Benn, Diana E
;
Zhu, Ying
;
Andrews, Katrina A
...
https://www.repository.cam.ac.uk/handle/1810/285384. , 2018
Link:
https://www.repository.cam.ac.uk/handle/1810/285384
RT Journal T1
Bayesian approach to determining penetrance of pathogenic SDH variants
UL https://suche.suub.uni-bremen.de/peid=base-ftunivcam:oai:www.repository.cam.ac.uk:1810_285384&Exemplar=1&LAN=DE A1 Benn, Diana E A1 Zhu, Ying A1 Andrews, Katrina A A1 Wilding, Mathilda A1 Duncan, Emma L A1 Dwight, Trisha A1 Tothill, Richard W A1 Burgess, John A1 Crook, Ashley A1 Gill, Anthony J A1 Hicks, Rodney J A1 Kim, Edward A1 Luxford, Catherine A1 Marfan, Helen A1 Richardson, Anne Louise A1 Robinson, Bruce A1 Schlosberg, Arran A1 Susman, Rachel A1 Tacon, Lyndal A1 Trainer, Alison A1 Tucker, Katherine A1 Maher, Eamonn R A1 Field, Michael A1 Clifton-Bligh, Roderick J PB BMJ; http://dx.doi.org/10.1136/jmedgenet-2018-105427; J Med Genet YR 2018 K1 paraganglioma K1 pathogenic variant K1 penetrance K1 pheochromocytoma K1 succinate dehydrogenase K1 Algorithms K1 Alleles K1 Australia K1 Bayes Theorem K1 Genetic Association Studies K1 Genetic Predisposition to Disease K1 Genetic Variation K1 Genotype K1 Humans K1 Isoenzymes K1 Models K1 Genetic K1 Phenotype K1 United Kingdom JF https://www.repository.cam.ac.uk/handle/1810/285384 LK http://dx.doi.org/https://www.repository.cam.ac.uk/handle/1810/285384 DO https://www.repository.cam.ac.uk/handle/1810/285384 SF ELIB - SuUB Bremen
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