| Literature DB >> 33431240 |
Xinbao Ding1, John C Schimenti2.
Abstract
Genetic causes are thought to underlie about half of infertility cases, but understanding the genetic bases has been a major challenge. Modern genomics tools allow more sophisticated exploration of genetic causes of infertility through population, family-based, and individual studies. Nevertheless, potential therapies based on genetic diagnostics will be limited until there is certainty regarding the causality of genetic variants identified in an individual. Genome modulation and editing technologies have revolutionized our ability to functionally test such variants, and also provide a potential means for clinical correction of infertility variants. This review addresses strategies being used to identify causative variants of infertility.Entities:
Keywords: CRISPR/Cas9 genome editing; genome-wide association study; high-throughput sequencing; infertility; precision medicine; variants of uncertain significance
Mesh:
Year: 2021 PMID: 33431240 PMCID: PMC8263794 DOI: 10.1016/j.molmed.2020.12.008
Source DB: PubMed Journal: Trends Mol Med ISSN: 1471-4914 Impact factor: 15.272