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248. Cardiovascular Genomics: Frontiers in Clinical Genetics in Cardiovascular Prevention with Dr. Pradeep Natarajan

59:50
 
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Manage episode 349187357 series 2585945
CardioNerds에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 CardioNerds 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
As the burden of cardiovascular disease increases in the United States, the importance of enhanced screening tools, early risk prediction, and prevention strategies grows. Novel risk scoring methods, including polygenic risk scores (PRS), may help identify patients that benefit from early intervention and risk modification. In this episode, we discuss how a PRS is calculated, how to incorporate a PRS into clinical practice, and current barriers to the equitable implementation of risk scores. In terms of frontiers in clinical genetics we also discuss the burgeoning field of pharmacogenetics and how pharmacogenetics may be used to identify responders and non-responders to certain therapies. Join CardioNerds Dr. Jessie Holtzman (CardioNerds Academy Chief and Chief Resident and soon FIT at UCSF), Dr. Alaa Diab (CardioNerds Academy Fellow and Medicine Resident at GBMC), and student doctor Hirsh Elhence (CardioNerds Academy Intern and medical student at USC Keck School of Medicine) as they discuss frontiers in clinical genetics with Dr. Pradeep Natarajan (Director of Preventive Cardiology, Massachusetts General Hospital). Audio editing by CardioNerds Academy Intern, student doctor Akiva Rosenzveig. This episode was developed in collaboration with the American Society of Preventive Cardiology and is supported with unrestricted educational funds from Illumina, Inc. All CardioNerds content is planned, produced, and reviewed solely by CardioNerds. This CardioNerds Cardiovascular Genomics series is a multi-institutional collaboration made possible by contributions of stellar fellow leads and expert faculty from several programs. Pearls • Notes • References CardioNerds Cardiovascular Genomics PageCardioNerds Episode PageCardioNerds AcademyCardionerds Healy Honor Roll CardioNerds Journal ClubSubscribe to The Heartbeat Newsletter!Check out CardioNerds SWAG!Become a CardioNerds Patron! Pearls - Frontiers in Clinical Genetics in Cardiovascular Prevention For common diseases like coronary artery disease, rare mutations may confer a several-fold increased risk of disease – for instance, in familial hypercholesterolemia, a single rare mutation may confer as much as a three-fold increase in risk of coronary artery disease. However, for most common diseases, the overall cumulative impact of several common genetic variants may be greater than that of a monogenetic trait. Family history is a particularly coarse predictor of CV risk, highlighting the need for polygenic risk scores. In particular, younger patients with borderline cardiovascular risk may benefit from the use of a polygenic risk score in the determination of their overall cardiovascular risk profile. A polygenic risk score (PRS) is a weighted sum of several risk-conferring alleles. The weight assigned to an allele is determined by the strength of the association between the allele and CV disease, as determined by genome-wide association studies (GWAS). The data used for genome-wide associated studies in cardiovascular disease have historically included populations primarily of European ancestry. However, more data is being collected from diverse patient cohorts to increase the external validity and broader applicability of such studies. Pharmacogenetic polygenic risk scores may be used to predict drug efficacy and toxicity, as well as to identify biologically plausible drug targets for clinical trial design. Show notes - Frontiers in Clinical Genetics in Cardiovascular Prevention What is a polygenic risk score (PRS)? Monogenic conditions are those in which a variant in a single gene causes a pathological phenotype. For example, familial hypercholesterolemia is often the result of a mutated allele in the LDL receptor gene. In contrast, polygenic risk suggests that there are variants in multiple genes that all confer risk independently, each with a small individual effect size. By aggregating many variants,
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350 에피소드

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icon공유
 
Manage episode 349187357 series 2585945
CardioNerds에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 CardioNerds 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
As the burden of cardiovascular disease increases in the United States, the importance of enhanced screening tools, early risk prediction, and prevention strategies grows. Novel risk scoring methods, including polygenic risk scores (PRS), may help identify patients that benefit from early intervention and risk modification. In this episode, we discuss how a PRS is calculated, how to incorporate a PRS into clinical practice, and current barriers to the equitable implementation of risk scores. In terms of frontiers in clinical genetics we also discuss the burgeoning field of pharmacogenetics and how pharmacogenetics may be used to identify responders and non-responders to certain therapies. Join CardioNerds Dr. Jessie Holtzman (CardioNerds Academy Chief and Chief Resident and soon FIT at UCSF), Dr. Alaa Diab (CardioNerds Academy Fellow and Medicine Resident at GBMC), and student doctor Hirsh Elhence (CardioNerds Academy Intern and medical student at USC Keck School of Medicine) as they discuss frontiers in clinical genetics with Dr. Pradeep Natarajan (Director of Preventive Cardiology, Massachusetts General Hospital). Audio editing by CardioNerds Academy Intern, student doctor Akiva Rosenzveig. This episode was developed in collaboration with the American Society of Preventive Cardiology and is supported with unrestricted educational funds from Illumina, Inc. All CardioNerds content is planned, produced, and reviewed solely by CardioNerds. This CardioNerds Cardiovascular Genomics series is a multi-institutional collaboration made possible by contributions of stellar fellow leads and expert faculty from several programs. Pearls • Notes • References CardioNerds Cardiovascular Genomics PageCardioNerds Episode PageCardioNerds AcademyCardionerds Healy Honor Roll CardioNerds Journal ClubSubscribe to The Heartbeat Newsletter!Check out CardioNerds SWAG!Become a CardioNerds Patron! Pearls - Frontiers in Clinical Genetics in Cardiovascular Prevention For common diseases like coronary artery disease, rare mutations may confer a several-fold increased risk of disease – for instance, in familial hypercholesterolemia, a single rare mutation may confer as much as a three-fold increase in risk of coronary artery disease. However, for most common diseases, the overall cumulative impact of several common genetic variants may be greater than that of a monogenetic trait. Family history is a particularly coarse predictor of CV risk, highlighting the need for polygenic risk scores. In particular, younger patients with borderline cardiovascular risk may benefit from the use of a polygenic risk score in the determination of their overall cardiovascular risk profile. A polygenic risk score (PRS) is a weighted sum of several risk-conferring alleles. The weight assigned to an allele is determined by the strength of the association between the allele and CV disease, as determined by genome-wide association studies (GWAS). The data used for genome-wide associated studies in cardiovascular disease have historically included populations primarily of European ancestry. However, more data is being collected from diverse patient cohorts to increase the external validity and broader applicability of such studies. Pharmacogenetic polygenic risk scores may be used to predict drug efficacy and toxicity, as well as to identify biologically plausible drug targets for clinical trial design. Show notes - Frontiers in Clinical Genetics in Cardiovascular Prevention What is a polygenic risk score (PRS)? Monogenic conditions are those in which a variant in a single gene causes a pathological phenotype. For example, familial hypercholesterolemia is often the result of a mutated allele in the LDL receptor gene. In contrast, polygenic risk suggests that there are variants in multiple genes that all confer risk independently, each with a small individual effect size. By aggregating many variants,
  continue reading

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