作者
Yuval Itan, Lei Shang, Bertrand Boisson, Etienne Patin, Alexandre Bolze, Marcela Moncada-Vélez, Eric Scott, Michael J Ciancanelli, Fabien G Lafaille, Janet G Markle, Ruben Martinez-Barricarte, Sarah Jill De Jong, Xiao-Fei Kong, Patrick Nitschke, Aziz Belkadi, Jacinta Bustamante, Anne Puel, Stéphanie Boisson-Dupuis, Peter D Stenson, Joseph G Gleeson, David N Cooper, Lluis Quintana-Murci, Jean-Michel Claverie, Shen-Ying Zhang, Laurent Abel, Jean-Laurent Casanova
发表日期
2015/11/3
期刊
Proceedings of the National Academy of Sciences
卷号
112
期号
44
页码范围
13615-13620
出版商
National Academy of Sciences
简介
The protein-coding exome of a patient with a monogenic disease contains about 20,000 variants, only one or two of which are disease causing. We found that 58% of rare variants in the protein-coding exome of the general population are located in only 2% of the genes. Prompted by this observation, we aimed to develop a gene-level approach for predicting whether a given human protein-coding gene is likely to harbor disease-causing mutations. To this end, we derived the gene damage index (GDI): a genome-wide, gene-level metric of the mutational damage that has accumulated in the general population. We found that the GDI was correlated with selective evolutionary pressure, protein complexity, coding sequence length, and the number of paralogs. We compared GDI with the leading gene-level approaches, genic intolerance, and de novo excess, and demonstrated that GDI performed best for the detection …
引用总数
2015201620172018201920202021202220232024222273428274226269
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