ArticleAmerican journal of human genetics2021
Association of structural variation with cardiometabolic traits in Finns.
Article in American journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 45 citations in OpenAlex.
- Computational strategies for copy number variation detection, disease association, and beyond.Genome biology · 2026Review
- Genealogy-based trait association with LOCATER boosts power at loci with allelic heterogeneity.Genome research · 2026Article
- Unravelling the genetic architecture of cardiovascular disease through structural variant detection with whole-genome sequencing.Frontiers in genetics · 2026Review
- High performance imputation of structural and single nucleotide variants using low-coverage whole genome sequencing.Genetics, selection, evolution : GSE · 2025Article
- Quantifying the regulatory potential of genetic variants via a hybrid sequence-oriented model with SVEN.Nature communications · 2024Article
- Characterizing a complex CT-rich haplotype in intron 4 of SNCA using large-scale targeted amplicon long-read sequencing.NPJ Parkinson's disease · 2024Article
- Article
- Protein-altering variants at copy number-variable regions influence diverse human phenotypes.Nature genetics · 2024Article
- Rare copy-number variants as modulators of common disease susceptibility.Genome medicine · 2024Article
- Exploring quantitative traits-associated copy number deletions through reanalysis of UK10K consortium whole genome sequencing cohorts.BMC genomics · 2023Article
- Improvement of large copy number variant detection by whole genome nanopore sequencing.Journal of advanced research · 2023Article
- Hidden protein-altering variants influence diverse human phenotypes.bioRxiv : the preprint server for biology · 2023Article
- A collection of read depth profiles at structural variant breakpoints.Scientific data · 2023Article
- In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants.Genetics, selection, evolution : GSE · 2023Review
- PGG.SV: a whole-genome-sequencing-based structural variant resource and data analysis platform.Nucleic acids research · 2023Article
- Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program.Nature communications · 2022Article
- Article
- The individual and global impact of copy-number variants on complex human traits.American journal of human genetics · 2022Article
- Population-scale genotyping of structural variation in the era of long-read sequencing.Computational and structural biotechnology journal · 2022Review
- Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences.Human genomics · 2021Article
Corrections and comments
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Authors and funding
26 authors at 8 institutions in 2 countries.
Funding
Abstract
The contribution of genome structural variation (SV) to quantitative traits associated with cardiometabolic diseases remains largely unknown. Here, we present the results of a study examining genetic association between SVs and cardiometabolic traits in the Finnish population. We used sensitive methods to identify and genotype 129,166 high-confidence SVs from deep whole-genome sequencing (WGS) data of 4,848 individuals. We tested the 64,572 common and low-frequency SVs for association with 116 quantitative traits and tested candidate associations using exome sequencing and array genotype data from an additional 15,205 individuals. We discovered 31 genome-wide significant associations at 15 loci, including 2 loci at which SVs have strong phenotypic effects: (1) a deletion of the ALB promoter that is greatly enriched in the Finnish population and causes decreased serum albumin level in carriers (p = 1.47 × 10
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.