Genetic Risk Predictor
US-2019017119-A1 · Jan 17, 2019 · US
US12264366B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12264366-B2 |
| Application number | US-202016876030-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 16, 2020 |
| Priority date | May 17, 2019 |
| Publication date | Apr 1, 2025 |
| Grant date | Apr 1, 2025 |
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The present disclosure provides methods of reducing cardiovascular risk by administration of a PCSK9 inhibitor to patients having a genetic profile associated with response to PCSK9 inhibitor therapy.
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What is claimed is: 1. A method of treating a patient who has received or is currently receiving an intensive statin therapy treatment, and who has a high genetic risk of recurrent major adverse cardiovascular event (MACE) despite intensive statin therapy, comprising administering a proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitor to the patient, wherein the patient: does not have elevated levels of lipoprotein(a) (LPA or LP (a)) or LDL-C; and has a coronary artery disease polygenic risk score (CAD-PRS) greater than the 90 th percentile determined from a reference population, wherein the CAD-PRS comprises a weighted sum of a plurality of genetic variants associated with coronary artery disease; wherein the patient receiving the PCSK 9 inhibitor demonstrates reduced absolute and relative risk of developing recurring MACE compared to a patient with the same CAD-PRS receiving placebo treatment. 2. The method according to claim 1 , wherein the CAD-PRS threshold score is the top 95% within a reference population. 3. The method according to claim 1 , wherein the reference population comprises at least 100 patients. 4. The method according to claim 1 , wherein the plurality of genetic variants is determined by calculating genetic variant performance in the reference population and selecting the highest performing genetic variants. 5. The method according to claim 4 , wherein genetic variant performance is calculated with respect to coronary artery disease risk based on statistical significance, strength of association, and/or a probability distribution. 6. The method according to claim 5 , wherein the CAD-PRS is calculated using LDPred method. 7. The method according to claim 5 , wherein the CAD-PRS is calculated using pruning and thresholding method.
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