Phen-Gen: combining phenotype and genotype to analyze rare disorders
A Javed, S Agrawal, PC Ng - Nature methods, 2014 - nature.com
A Javed, S Agrawal, PC Ng
Nature methods, 2014•nature.comAbstract We introduce Phen-Gen, a method that combines patients' disease symptoms and
sequencing data with prior domain knowledge to identify the causative genes for rare
disorders. Simulations revealed that the causal variant was ranked first in 88% of cases
when it was a coding variant—a 52% advantage over a genotype-only approach—and Phen-
Gen outperformed other existing prediction methods by 13–58%. If disease etiology was
unknown, the causal variant was assigned the top rank in 71% of simulations. Phen-Gen is …
sequencing data with prior domain knowledge to identify the causative genes for rare
disorders. Simulations revealed that the causal variant was ranked first in 88% of cases
when it was a coding variant—a 52% advantage over a genotype-only approach—and Phen-
Gen outperformed other existing prediction methods by 13–58%. If disease etiology was
unknown, the causal variant was assigned the top rank in 71% of simulations. Phen-Gen is …
Abstract
We introduce Phen-Gen, a method that combines patients' disease symptoms and sequencing data with prior domain knowledge to identify the causative genes for rare disorders. Simulations revealed that the causal variant was ranked first in 88% of cases when it was a coding variant—a 52% advantage over a genotype-only approach—and Phen-Gen outperformed other existing prediction methods by 13–58%. If disease etiology was unknown, the causal variant was assigned the top rank in 71% of simulations. Phen-Gen is available at http://phen-gen.org/.
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