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Published on: September 17, 2020
Actionable genotypes beyond the coding sequence and their association with lifespan in the UK Biobank
Congcong Chen1,2,3, Jiawen Zhu1, Ziye Xu4
1Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Actionable genotypes in secondary findings (SF) genes impact mortality. Functionally verified promoter variants, not just coding variants, are key determinants of lifespan and disease risk.
Area of Science:
- Genetics and genomics
- Preventive medicine
- Molecular biology
Background:
- Actionable genotypes in American College of Medical Genetics and Genomics (ACMG)-recommended secondary findings (SF) genes are crucial for hereditary disease prevention.
- Limited data exists on the association between genetic variants, especially non-coding regulatory ones, and lifespan due to interpretation challenges.
Purpose of the Study:
- To investigate the association between genetic variants in ACMG SF genes and all-cause mortality using UK Biobank data.
- To functionally interpret promoter variants and assess their impact on mortality and disease incidence.
Main Methods:
- Whole-genome sequencing data from 490,086 UK Biobank participants.
- Systematic interpretation of pathogenic/likely pathogenic coding variants in 81 ACMG SF genes.
- Saturation mutagenesis and reporter assays to functionally map core promoter variants and assess their association with mortality.
Main Results:
- Coding actionable genotypes (3.40% of participants) were linked to increased all-cause mortality in both sexes.
- Rare variants in core promoter regions showed no significant survival association.
- Functionally verified promoter variants with gene-downregulating activity correlated with elevated mortality risk.
Conclusions:
- Functionally verified promoter variants are significant, previously unrecognized determinants of mortality risk.
- Future studies should consider non-coding functional variants beyond coding sequences for a comprehensive understanding of disease risk and lifespan.
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