Evidence map›Paper›PMID 39449055›Full record

ArticleBMC medical genomics2024

Identification of allele-specific KIV-2 repeats and impact on Lp(a) measurements for cardiovascular disease risk.

Sairam Behera, Jonathan R Belyeu, Xiao Chen, Luis F Paulin, Ngoc Quynh H Nguyen, Emma Newman, Medhat Mahmoud, Vipin K Menon, Qibin Qi, Parag Joshi and 16 more

Abstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Journal of the American Heart Association · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. KILDA: identifying KIV-2 repeats from kmers.NAR genomics and bioinformatics · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Closing the gap: Solving complex medically relevant genes at scale.medRxiv : the preprint server for health sciences · 2024
    Article
  14. Article
  15. Review
  16. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors.

Sairam Behera *Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Jonathan R Belyeu *Illumina Inc, San Diego, CA, USA.
Xiao ChenIllumina Inc, San Diego, CA, USA.
Luis F PaulinHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Ngoc Quynh H NguyenSchool of Public Health, University of Texas Health Science Center, Houston, TX, USA.
Emma NewmanIllumina Inc, San Diego, CA, USA.
Medhat MahmoudHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Vipin K MenonHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Qibin QiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Parag JoshiMedpace Reference Laboratories, Cincinnati, OH, USA.
Santica MarcovinaUniversity of Texas Southwestern Medical Center, Dallas, TX, USA.
Massimiliano RossiIllumina Inc, San Diego, CA, USA.
Eric RollerIllumina Inc, San Diego, CA, USA.
James HanIllumina Inc, San Diego, CA, USA.
Vitor OnuchicIllumina Inc, San Diego, CA, USA.
Christy L AveryDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Christie M BallantyneDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA.
Carlos J RodriguezDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Robert C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Donna M MuznyHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Ginger A MetcalfHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Richard A GibbsHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Bing YuSchool of Public Health, University of Texas Health Science Center, Houston, TX, USA.
Eric BoerwinkleHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Michael A EberleIllumina Inc, San Diego, CA, USA.
Fritz J SedlazeckHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA. fritz.sedlazeck@bcm.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The abundance of Lp(a) protein holds significant implications for the risk of cardiovascular disease (CVD), which is directly impacted by the copy number (CN) of KIV-2, a 5.5 kbp sub-region. KIV-2 is highly polymorphic in the population and accurate analysis is challenging. In this study, we present the DRAGEN KIV-2 CN caller, which utilizes short reads. Data across 166 WGS show that the caller has high accuracy, compared to optical mapping and can further phase approximately 50% of the samples. We compared KIV-2 CN numbers to 24 previously postulated KIV-2 relevant SNVs, revealing that many are ineffective predictors of KIV-2 copy number. Population studies, including USA-based cohorts, showed distinct KIV-2 CN, distributions for European-, African-, and Hispanic-American populations and further underscored the limitations of SNV predictors. We demonstrate that the CN estimates correlate significantly with the available Lp(a) protein levels and that phasing is highly important.

Indexed as

AllelesCardiovascular DiseasesLipoprotein(a)DNA Copy Number VariationsGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideLipoprotein(a)Cardiovascular diseaseCopy number variationIlluminaLPANext Generation Sequencing

Identifiers

PMID39449055
PMCPMC11515395

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.