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Systematic Cell-Based Phenotyping of Missense Alleles
Aenne S Thormählen1,2, Heiko Runz3,4,5
1Institute of Human Genetics, University of Heidelberg, Heidelberg, 69120, Germany.
Methods in Molecular Biology (Clifton, N.J.)
|May 5, 2017
Summary
Researchers developed a scalable cell-based method to assess the impact of rare genetic variants on protein function. This approach helps identify disease-causing alleles, like those linked to familial hypercholesterolemia.
Area of Science:
- Genomics
- Molecular Biology
- Human Genetics
Background:
- Exome sequencing reveals numerous rare genetic variants.
- Understanding the functional impact of these variants on human health is challenging.
- Familial hypercholesterolemia is often linked to variations in the low-density lipoprotein receptor (LDLR).
Purpose of the Study:
- To present a scalable, cell-based strategy for profiling the biological impact of rare missense variants.
- To systematically characterize the functional consequences of low-frequency alleles in vitro.
- To differentiate disease-predisposing variants from benign ones.
Main Methods:
- Development of a scalable, cell-based assay.
- Application of the assay to missense variants identified in the low-density lipoprotein receptor (LDLR) gene.
- In vitro functional profiling of rare and low-frequency alleles.
Main Results:
- Successfully distinguished rare LDLR alleles predisposing to familial hypercholesterolemia and myocardial infarction from those with no significant impact.
- Demonstrated the utility of the cell-based strategy in assessing variant pathogenicity.
- Quantified the impact of specific missense variants on LDLR function.
Conclusions:
- The developed strategy offers a scalable approach to assess the biological impact of rare missense variants.
- Systematic implementation will enhance understanding of the human genome and rare variant effects on health.
- This method aids in identifying genetic variations contributing to complex diseases like familial hypercholesterolemia.
Keywords:
Exome sequencingHigh-throughput functional profilingLDLRMissense allelesRNAiRVASRare-variant association studiesMore Related Videos
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