scholarly journals Diagnostic testing laboratories are valuable partners for disease gene discovery: 5-year experience with GeneMatcher

Author(s):  
Meghan Towne ◽  
Mari Rossi ◽  
Bess Wayburn ◽  
Jennifer Huang ◽  
Kelly Radtke ◽  
...  

Clinical and research laboratories extensively use exome sequencing due to its high diagnostic rates, cost savings, impact on clinical management, and efficacy for disease gene discovery. While the rates of disease gene discovery have steadily increased, only ~16% of genes in the genome have confirmed disease associations. Here we describe our diagnostic laboratory’s disease gene discovery and ongoing data-sharing efforts with GeneMatcher. In total, we submitted 246 candidates from 243 unique genes to GeneMatcher, of which 45.93% are now clinically characterized. Submissions with at least one case meeting our candidate genes reporting criteria were significantly more likely to be characterized as of October 2021 compared to genes with no candidates meeting our reporting criteria (p=0.025). We reported relevant findings related to these gene-disease associations for 480 probands. In 219 (45.63%) instances, these results were reclassifications after an initial candidate gene (uncertain) or negative report. Since 2013, we have co-authored 105 publications focused on delineating gene-disease associations. Diagnostic laboratories are pivotal for disease gene discovery efforts and can screen phenotypes based on genotype matches, contact clinicians of relevant cases, and issue proactive reclassification reports. GeneMatcher is a critical resource in these efforts.

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.


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

2019 ◽  
Vol 139 (2) ◽  
pp. 151-184 ◽  
Author(s):  
Sandeep Aryal ◽  
Deepti Anand ◽  
Francisco G. Hernandez ◽  
Bailey A. T. Weatherbee ◽  
Hongzhan Huang ◽  
...  

Author(s):  
M. J. Xavier ◽  
A. Salas-Huetos ◽  
M. S. Oud ◽  
K. I. Aston ◽  
J. A. Veltman

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