Unique Signatures of Highly Constrained Genes Across Publicly Available Genomic Databases.

IF 6.6 1区 医学 Q1 GENETICS & HEREDITY
Klaus Schmitz-Abe, Qifei Li, Sunny Greene, Michela Borrelli, Shiyu Luo, Madesh C Ramesh, Pankaj B Agrawal
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引用次数: 0

Abstract

Purpose: Publicly available genomic databases are critical in understanding human genetic variation. They also provide unique insights into patterns of genetic constraints and their relationship with human disease.

Methods: We utilized one of the largest publicly available databases, gnomAD, to determine genes that are highly constrained for only loss of function (LoF), only missense, and both LoF/missense variants. We identified their unique signatures and explored their causal relationship with human diseases. Those genes were also evaluated for chromosomal location, tissue level expression, gene ontology analysis, and gene family categorization using multiple publicly available databases.

Results: We identified unique patterns of inheritance, protein size, and enrichment in distinct molecular pathways for those constrained genes associated with human disease. In addition, we identified genes that are currently not known to cause human disease, which may be excellent gene discovery candidates.

Conclusions: We elucidate biological pathways of highly constrained genes that expand our understanding of critical cellular proteins. The findings can also advance research in rare diseases.

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来源期刊
Genetics in Medicine
Genetics in Medicine 医学-遗传学
CiteScore
15.20
自引率
6.80%
发文量
857
审稿时长
1.3 weeks
期刊介绍: Genetics in Medicine (GIM) is the official journal of the American College of Medical Genetics and Genomics. The journal''s mission is to enhance the knowledge, understanding, and practice of medical genetics and genomics through publications in clinical and laboratory genetics and genomics, including ethical, legal, and social issues as well as public health. GIM encourages research that combats racism, includes diverse populations and is written by authors from diverse and underrepresented backgrounds.
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