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Updated: Oct 3, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Rare coding variants in RCN3 are associated with blood pressure.
Karen Y He1, Tanika N Kelly2, Heming Wang3,4,5
1Department of Population and Quantitative Health Sciences, Case Western Reserve University, Wolstein Research Building, 2103 Cornell Road, Cleveland, OH, 44106, USA.
Rare and low-frequency variants in the RCN3 gene significantly impact blood pressure variation. This study successfully identified novel genetic contributors to blood pressure using linkage regions in a large, diverse cohort.
Area of Science:
- Genetics
- Cardiovascular Disease Research
- Genomic Medicine
Background:
- Genome-wide association studies (GWAS) have identified numerous blood pressure loci, but rare variant discovery remains difficult.
- Family-based linkage scans effectively identify rare genetic variants for blood pressure.
- The Trans-Omics for Precision Medicine (TOPMed) program provides a valuable resource for genetic studies.
Purpose of the Study:
- To identify low-frequency and rare genetic variants associated with blood pressure within known linkage regions on chromosomes 1 and 19.
- To analyze whole genome sequencing data from diverse ancestral groups within the TOPMed program.
- To leverage linkage evidence to enhance the identification of rare variants.
Main Methods:
- Genetic association analyses weighted by linkage evidence were performed.
- Whole genome sequencing data from 60,388 individuals across multiple TOPMed ancestral groups were utilized.
- Replication analysis was conducted using UK Biobank data.
Main Results:
- Low-frequency and rare variants in the RCN3 gene showed significant associations with blood pressure traits.
- These associations were observed in TOPMed samples and replicated in the UK Biobank.
- The association of RCN3 variants with diastolic blood pressure reached genome-wide significance (p = 2.01 × 10⁻⁷).
Conclusions:
- Low-frequency and rare variants in RCN3 contribute to blood pressure variation.
- Focusing association analyses within linkage regions improves the power to detect novel rare variants.
- This approach effectively reduces the multiple-testing burden in genetic studies of complex traits.
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