scholarly journals Disease gene discovery in male infertility: past, present and future

2020 ◽  
Author(s):  
M. J. Xavier ◽  
A. Salas-Huetos ◽  
M. S. Oud ◽  
K. I. Aston ◽  
J. A. Veltman
Keyword(s):  
Male Infertility ◽  
Disease Gene ◽  
Gene Discovery ◽  
Disease Gene Discovery

scholarly journals First-line exome sequencing in Palestinian and Israeli Arabs with neurological disorders is efficient and facilitates disease gene discovery

2020 ◽  
Vol 28 (8) ◽  
pp. 1034-1043 ◽  
Author(s):  
Holger Hengel ◽  
Rebecca Buchert ◽  
Marc Sturm ◽  
Tobias B. Haack ◽  
Yvonne Schelling ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Neurological Disorders ◽  
Disease Gene ◽  
Gene Discovery ◽  
First Line ◽  
Disease Gene Discovery ◽  
Israeli Arabs

scholarly journals Disease Modeling and Disease Gene Discovery in Cardiomyopathies: A Molecular Study of Induced Pluripotent Stem Cell Generated Cardiomyocytes

2021 ◽  
Vol 22 (7) ◽  
pp. 3311
Author(s):  
Satish Kumar ◽  
Joanne E. Curran ◽  
Kashish Kumar ◽  
Erica DeLeon ◽  
Ana C. Leandro ◽  
...  
Keyword(s):  
Stem Cell ◽  
Pluripotent Stem Cell ◽  
Disease Gene ◽  
Disease Modeling ◽  
Gene Discovery ◽  
Induced Pluripotent Stem Cell ◽  
P Value ◽  
Disease Gene Discovery ◽  
Induced Pluripotent

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.

Exome sequencing as a tool for Mendelian 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 ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Disease Gene ◽  
Gene Discovery ◽  
Mendelian Disease ◽  
Disease Gene Discovery

Exome Sequencing: Capture and Sequencing of All Human Coding Regions for Disease Gene Discovery

2012 ◽  
pp. 335-351 ◽  
Author(s):  
Rinki Ratna Priya ◽  
Harsha Karur Rajasimha ◽  
Matthew J. Brooks ◽  
Anand Swaroop
Keyword(s):  
Exome Sequencing ◽  
Disease Gene ◽  
Gene Discovery ◽  
Coding Regions ◽  
Disease Gene Discovery

Computational tools for prioritizing candidate genes: boosting disease gene discovery

2012 ◽  
Vol 13 (8) ◽  
pp. 523-536 ◽  
Author(s):  
Yves Moreau ◽  
Léon-Charles Tranchevent
Keyword(s):  
Candidate Genes ◽  
Disease Gene ◽  
Gene Discovery ◽  
Computational Tools ◽  
Disease Gene Discovery

scholarly journals MS/MS in silico subtraction-based proteomic profiling as an approach to facilitate disease gene discovery: application to lens development and cataract

2019 ◽  
Vol 139 (2) ◽  
pp. 151-184 ◽  
Author(s):  
Sandeep Aryal ◽  
Deepti Anand ◽  
Francisco G. Hernandez ◽  
Bailey A. T. Weatherbee ◽  
Hongzhan Huang ◽  
...  
Keyword(s):  
In Silico ◽  
Disease Gene ◽  
Gene Discovery ◽  
Proteomic Profiling ◽  
Lens Development ◽  
Disease Gene Discovery

Admixture mapping for disease gene discovery

2015 ◽  
pp. 89-105
Author(s):  
Randall C. Johnson ◽  
Cheryl A. Winkler ◽  
Meredith Yeager
Keyword(s):  
Disease Gene ◽  
Gene Discovery ◽  
Admixture Mapping ◽  
Disease Gene Discovery
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