| Autor: |
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, Santica Marcovina, Massimiliano Rossi, Eric Roller, James Han, Vitor Onuchic, Christy L. Avery, Christie M. Ballantyne, Carlos J. Rodriguez, Robert C. Kaplan, Donna M. Muzny, Ginger A. Metcalf, Richard A. Gibbs, Bing Yu, Eric Boerwinkle, Michael A. Eberle, Fritz J. Sedlazeck |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BMC Medical Genomics, Vol 17, Iss 1, Pp 1-15 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1755-8794 |
| DOI: |
10.1186/s12920-024-02024-0 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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