Exomiser
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Taking into account phenotype frequencies
For example in Decipher ARID1B
Code Phenotype Affected patients with Sequence Variants in ARID1B Percentage of phenotyped patients with Sequence Variants in ARID1B Affected patients in DECIPHER Percentage of 12981 phenotyped patients in DECIPHER p value Odds ratio
HP:0001601 Laryngomalacia 4 12.90% 29 0.22% 6.00 × 10-07 76.59 ( 24.97 - 234.98 )
HP:0012718 Morphological abnormality of the gastrointestinal tract 8 25.81% 363 2.80% 1.44 × 10-06 12.34 ( 5.48 - 27.78 )
HP:0002307 Drooling 4 12.90% 36 0.28% 1.47 × 10-06 59.81 ( 19.79 - 180.73 )
HP:0001601 and HP:0002307 are highly significant phenotypic markers of ARID1B pathology.
Is this related to phenotype annotation frequency data as provided by Orphanet to weight our scores. Need to wait until the Bayesian implementation to do properly