P293: A novel method for predicting Lp(a) levels from routine outpatient genomic testing identifies those at risk of cardiovascular disease

Lipoprotein(a) (Lp(a)) levels are largely genetically determined and often an unmeasured predictor of future Atherosclerotic Cardiovascular Disease (ASCVD). With the increased use of exome sequencing in the clinical setting, there is an opportunity to identify patients who have a high chance of having elevated Lp(a) and are therefore at risk of ASCVD. However, accurate genetic predictors of Lp(a) are challenging to design. In addition to single nucleotide variants (SNVs), which are often summarized as a combined genetic risk score, Lp(a) levels are significantly impacted by copy number variation in repeats of the kringle IV subtype 2 domain (KIV-2), which are challenging to quantify.

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Publication Details

Journal
Genetics in Medicine Open
Published
2025-01-01
DOI
https://doi.org/10.1016/j.gimo.2025.102258
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
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article

P293: A novel method for predicting Lp(a) levels from routine outpatient genomic testing identifies those at risk of cardiovascular disease

Natalie Telis, Christopher Chapman, Douglas Stoller, Shishi Luo et al.
Genetics in Medicine Open
Monoclonal and Polyclonal Antibodies Research
article

P293: A novel method for predicting Lp(a) levels from routine outpatient genomic testing identifies those at risk of cardiovascular disease

Natalie Telis, Christopher Chapman, Douglas Stoller, Shishi Luo, Catherine Hajek, Nicole Washington, Ashley Waring, Basil Khuder, Kelly M. Schiabor Barrett, Alexandre Bolze, Lisa M. McEwen, Francisco Tanudjaja, Matthew E. Levy, Dana Wyman, Joseph J. Grzymski, Daniel Philip Judge, C. Anwar A. Chahal, David Kann, Hang Dai, Elizabeth T. Cirulli, William Lee, Simon White, Douglas A. Olson
article en

Abstract

Lipoprotein(a) (Lp(a)) levels are largely genetically determined and often an unmeasured predictor of future Atherosclerotic Cardiovascular Disease (ASCVD). With the increased use of exome sequencing in the clinical setting, there is an opportunity to identify patients who have a high chance of having elevated Lp(a) and are therefore at risk of ASCVD. However, accurate genetic predictors of Lp(a) are challenging to design. In addition to single nucleotide variants (SNVs), which are often summarized as a combined genetic risk score, Lp(a) levels are significantly impacted by copy number variation in repeats of the kringle IV subtype 2 domain (KIV-2), which are challenging to quantify.

Genetics in Medicine OpenVol. 3
St. Luke's University Health Network (US), University of Nevada, Reno (US), Medical University of South Carolina (US), WellSpan Health (US), Helix (United States) (US), HealthPartners (US), University of Nebraska Medical Center (US)
Good health and well-being
Openalex Percentile: Top 93%
Monoclonal and Polyclonal Antibodies Research
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