scholarly journals Human and mouse essentiality screens as a resource for disease gene discovery

2019 ◽  
Author(s):  
Pilar Cacheiro ◽  
Violeta Muñoz-Fuentes ◽  
Stephen A. Murray ◽  
Mary E. Dickinson ◽  
Maja Bucan ◽  
...  

ABSTRACTAlthough genomic sequencing has been transformative in the study of rare genetic diseases, identifying causal variants remains a considerable challenge that can be addressed in part by new gene-specific knowledge. Here, we integrate measures of how essential a gene is to supporting life, as inferred from the comprehensive viability and phenotyping screens performed on knockout mice by the International Mouse Phenotyping Consortium and from human cell line essentiality screens. We propose a novel, cross-species gene classification across the Full Spectrum of Intolerance to Loss-of-function (FUSIL) and demonstrate that genes in five mutually exclusive FUSIL categories have differing characteristics in the biological processes they regulate, tissue expression levels and human mutation rates. Most notably, Mendelian disease genes, particularly those associated with developmental disorders, are highly overrepresented in the developmental lethal category, representing genes not essential for cell survival but required for organism development. Exploiting this finding, we have screened developmental disorder cases from three independent disease sequencing consortia and identified potentially pathogenic, de novo variants shared in different patients for several developmental lethal genes that have not previously been associated with rare disease. We therefore propose FUSIL as an efficient resource for disease gene discovery.

2011 ◽  
Vol 12 (11) ◽  
pp. 745-755 ◽  
Author(s):  
Michael J. Bamshad ◽  
Sarah B. Ng ◽  
Abigail W. Bigham ◽  
Holly K. Tabor ◽  
Mary J. Emond ◽  
...  

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Alireza Haghighi ◽  
◽  
Joel B. Krier ◽  
Agnes Toth-Petroczy ◽  
Christopher A. Cassa ◽  
...  

2018 ◽  
Author(s):  
Jun Wang ◽  
Li Zhao ◽  
Xia Wang ◽  
Yong Chen ◽  
Mingchu Xu ◽  
...  

AbstractDespite rapid progress of next-generation sequencing (NGS) technologies, the disease-causing genes underpinning about 50% of Mendelian diseases remain elusive. One main challenge is the high genetic heterogeneity of Mendelian diseases in which similar phenotypes are caused by different genes and each gene only accounts for a small proportion of the patients. To overcome this gap, we developed a novel method, the Gene Ranking, Identification and Prediction Tool (GRIPT), for performing case-control analysis of NGS data. Analyses of simulated and real datasets show that GRIPT is well-powered for disease gene discovery, especially for diseases with high locus heterogeneity.


2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Jun Wang ◽  
Li Zhao ◽  
Xia Wang ◽  
Yong Chen ◽  
Mingchu Xu ◽  
...  

2020 ◽  
Vol 28 (8) ◽  
pp. 1034-1043 ◽  
Author(s):  
Holger Hengel ◽  
Rebecca Buchert ◽  
Marc Sturm ◽  
Tobias B. Haack ◽  
Yvonne Schelling ◽  
...  

2021 ◽  
Vol 22 (7) ◽  
pp. 3311
Author(s):  
Satish Kumar ◽  
Joanne E. Curran ◽  
Kashish Kumar ◽  
Erica DeLeon ◽  
Ana C. Leandro ◽  
...  

The in vitro modeling of cardiac development and cardiomyopathies in human induced pluripotent stem cell (iPSC)-derived cardiomyocytes (CMs) provides opportunities to aid the discovery of genetic, molecular, and developmental changes that are causal to, or influence, cardiomyopathies and related diseases. To better understand the functional and disease modeling potential of iPSC-differentiated CMs and to provide a proof of principle for large, epidemiological-scale disease gene discovery approaches into cardiomyopathies, well-characterized CMs, generated from validated iPSCs of 12 individuals who belong to four sibships, and one of whom reported a major adverse cardiac event (MACE), were analyzed by genome-wide mRNA sequencing. The generated CMs expressed CM-specific genes and were highly concordant in their total expressed transcriptome across the 12 samples (correlation coefficient at 95% CI =0.92 ± 0.02). The functional annotation and enrichment analysis of the 2116 genes that were significantly upregulated in CMs suggest that generated CMs have a transcriptomic and functional profile of immature atrial-like CMs; however, the CMs-upregulated transcriptome also showed high overlap and significant enrichment in primary cardiomyocyte (p-value = 4.36 × 10−9), primary heart tissue (p-value = 1.37 × 10−41) and cardiomyopathy (p-value = 1.13 × 10−21) associated gene sets. Modeling the effect of MACE in the generated CMs-upregulated transcriptome identified gene expression phenotypes consistent with the predisposition of the MACE-affected sibship to arrhythmia, prothrombotic, and atherosclerosis risk.


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