Author

Basil Khuder

Helix (United States)ORCID 0000-0002-1012-6198Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:whole-exome sequencing· 2 Research Focus:GWAS / association mapping· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alexandre BolzeiD· 2 shared Ashley Arana Waring· 2 shared C. Anwar A. ChahaliD· 2 shared Christopher N. Chapman· 2 shared David Kann· 2 shared Douglas A. Olson· 2 shared Douglas A. StolleriD· 2 shared Elizabeth T. CirulliiD· 2 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Alexandre BolzeORCID

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2 papers

Recent·Most cited

Population genomic screening leads to improved lipid management in patients with familial hypercholesterolemia

Matthew E. Levy, Kelly M. Schiabor Barrett, Megan N. Betts, David Kann, Alexandre Bolze, Basil Khuder, Natalie Telis, Lisa M. McEwen, Amy Curry Sturm, Chad R. Haldeman‐Englert, Jeremy Cauwels, Douglas A. Stoller, C. Anwar A. Chahal, Christopher N. Chapman, Ashley Arana Waring, , Catherine A. Hajek

Population genomic screening identified familial hypercholesterolemia patients, leading to improved lipid-lowering therapies and LDL-C reductions.

Circulation Genomic and Precision Medicine · Nov 5, 2025Peer-reviewedGenetic & Genomic Medicine

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

Natalie Telis, Hang Dai, Ashley Arana Waring, David Kann, Dana Wyman, Simon J. White, Basil Khuder, Francisco Tanudjaja, Alexandre Bolze, Matthew E. Levy, Cassie Hajek, Lisa M. McEwen, Douglas A. Stoller, Christopher N. Chapman, C. Anwar A. Chahal, , Kelly M. Schiabor Barrett

This paper develops a method to predict Lp(a) levels from genomic data, combining SNV risk scores and KIV-2 repeat counts, and shows it improves risk prediction for cardiovascular disease in diverse populations.

medRxiv · Nov 1, 2024 · PreprintGenetic & Genomic Medicine