Comprehensive Analysis of the Genetic Variation in the LPA Gene from Short-Read Sequencing

Author:

Betschart Raphael O.1ORCID,Koliopanos Georgios1,Garg Paras2,Guo Linlin3ORCID,Rossi Massimiliano4ORCID,Schönherr Sebastian5,Blankenberg Stefan367,Twerenbold Raphael367ORCID,Zeller Tanja367,Ziegler Andreas1368ORCID

Affiliation:

1. Cardio-CARE, Medizincampus Davos, Herman-Burchard-Str. 1, 7265 Davos, Switzerland

2. Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, Hess Center for Science and Medicine, New York, NY 10029, USA

3. Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany

4. Illumina Inc., San Diego, CA 92122, USA

5. Institute of Genetic Epidemiology, Medical University of Innsbruck, 6020 Innsbruck, Austria

6. Centre for Population Health Innovation (POINT), University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany

7. German Center for Cardiovascular Science (DZHK), Partner Site Hamburg/Kiel/Lübeck, 20246 Hamburg, Germany

8. School Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg 3209, South Africa

Abstract

Lipoprotein (a) (Lp(a)) is a risk factor for cardiovascular diseases and mainly regulated by the complex LPA gene. We investigated the types of variation in the LPA gene and their predictive performance on Lp(a) concentration. We determined the Kringle IV-type 2 (KIV-2) copy number (CN) using the DRAGEN LPA Caller (DLC) and a read depth-based CN estimator in 8351 short-read whole genome sequencing samples from the GENESIS-HD study. The pentanucleotide repeat in the promoter region was genotyped with GangSTR and ExpansionHunter. Lp(a) concentration was available in 4861 population-based subjects. Predictive performance on Lp(a) concentration was investigated using random forests. The agreement of the KIV-2 CN between the two specialized callers was high (r = 0.9966; 95% confidence interval [CI] 0.9965–0.9968). Allele-specific KIV-2 CN could be determined in 47.0% of the subjects using the DLC. Lp(a) concentration can be better predicted from allele-specific KIV-2 CN than total KIV-2 CN. Two single nucleotide variants, 4925G>A and rs41272114C>T, further improved prediction. The genetically complex LPA gene can be analyzed with excellent agreement between different callers. The allele-specific KIV-2 CN is more important for predicting Lp(a) concentration than the total KIV-2 CN.

Funder

Kühne Foundation

Publisher

MDPI AG

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