Polygenic Risk Scores in Coronary Artery Disease and Atrial Fibrillation
Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological proc...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Gladding, Patrick A. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020transfer abstract |
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| Schlagwörter: |
meta-genomic risk score (metaGRS) |
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| Umfang: |
7 |
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| Übergeordnetes Werk: |
Enthalten in: Seaweed beds support more juvenile reef fish than seagrass beds in a south-western Atlantic tropical seascape - Eggertsen, L. ELSEVIER, 2017, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:29 ; year:2020 ; number:4 ; pages:634-640 ; extent:7 |
| Links: |
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| DOI / URN: |
10.1016/j.hlc.2019.12.004 |
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| 520 | |a Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. | ||
| 520 | |a Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. | ||
| 650 | 7 | |a Polygenic risk score |2 Elsevier | |
| 650 | 7 | |a Whole Genome Sequencing (WGS) |2 Elsevier | |
| 650 | 7 | |a meta-genomic risk score (metaGRS) |2 Elsevier | |
| 650 | 7 | |a Atrial fibrillation |2 Elsevier | |
| 650 | 7 | |a Genetics |2 Elsevier | |
| 650 | 7 | |a Genome-wide association studies (GWAS) |2 Elsevier | |
| 650 | 7 | |a Coronary artery disease |2 Elsevier | |
| 700 | 1 | |a Legget, Malcolm |4 oth | |
| 700 | 1 | |a Fatkin, Diane |4 oth | |
| 700 | 1 | |a Larsen, Peter |4 oth | |
| 700 | 1 | |a Doughty, Robert |4 oth | |
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10.1016/j.hlc.2019.12.004 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000941.pica (DE-627)ELV049675591 (ELSEVIER)S1443-9506(19)31554-9 DE-627 ger DE-627 rakwb eng 550 VZ 38.48 bkl 38.90 bkl 42.94 bkl Gladding, Patrick A. verfasserin aut Polygenic Risk Scores in Coronary Artery Disease and Atrial Fibrillation 2020transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. Polygenic risk score Elsevier Whole Genome Sequencing (WGS) Elsevier meta-genomic risk score (metaGRS) Elsevier Atrial fibrillation Elsevier Genetics Elsevier Genome-wide association studies (GWAS) Elsevier Coronary artery disease Elsevier Legget, Malcolm oth Fatkin, Diane oth Larsen, Peter oth Doughty, Robert oth Enthalten in Elsevier Eggertsen, L. ELSEVIER Seaweed beds support more juvenile reef fish than seagrass beds in a south-western Atlantic tropical seascape 2017 Amsterdam [u.a.] (DE-627)ELV000398209 volume:29 year:2020 number:4 pages:634-640 extent:7 https://doi.org/10.1016/j.hlc.2019.12.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO 38.48 Marine Geologie VZ 38.90 Ozeanologie Ozeanographie VZ 42.94 Meeresbiologie VZ AR 29 2020 4 634-640 7 |
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10.1016/j.hlc.2019.12.004 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000941.pica (DE-627)ELV049675591 (ELSEVIER)S1443-9506(19)31554-9 DE-627 ger DE-627 rakwb eng 550 VZ 38.48 bkl 38.90 bkl 42.94 bkl Gladding, Patrick A. verfasserin aut Polygenic Risk Scores in Coronary Artery Disease and Atrial Fibrillation 2020transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. Polygenic risk score Elsevier Whole Genome Sequencing (WGS) Elsevier meta-genomic risk score (metaGRS) Elsevier Atrial fibrillation Elsevier Genetics Elsevier Genome-wide association studies (GWAS) Elsevier Coronary artery disease Elsevier Legget, Malcolm oth Fatkin, Diane oth Larsen, Peter oth Doughty, Robert oth Enthalten in Elsevier Eggertsen, L. ELSEVIER Seaweed beds support more juvenile reef fish than seagrass beds in a south-western Atlantic tropical seascape 2017 Amsterdam [u.a.] (DE-627)ELV000398209 volume:29 year:2020 number:4 pages:634-640 extent:7 https://doi.org/10.1016/j.hlc.2019.12.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO 38.48 Marine Geologie VZ 38.90 Ozeanologie Ozeanographie VZ 42.94 Meeresbiologie VZ AR 29 2020 4 634-640 7 |
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10.1016/j.hlc.2019.12.004 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000941.pica (DE-627)ELV049675591 (ELSEVIER)S1443-9506(19)31554-9 DE-627 ger DE-627 rakwb eng 550 VZ 38.48 bkl 38.90 bkl 42.94 bkl Gladding, Patrick A. verfasserin aut Polygenic Risk Scores in Coronary Artery Disease and Atrial Fibrillation 2020transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. Polygenic risk score Elsevier Whole Genome Sequencing (WGS) Elsevier meta-genomic risk score (metaGRS) Elsevier Atrial fibrillation Elsevier Genetics Elsevier Genome-wide association studies (GWAS) Elsevier Coronary artery disease Elsevier Legget, Malcolm oth Fatkin, Diane oth Larsen, Peter oth Doughty, Robert oth Enthalten in Elsevier Eggertsen, L. ELSEVIER Seaweed beds support more juvenile reef fish than seagrass beds in a south-western Atlantic tropical seascape 2017 Amsterdam [u.a.] (DE-627)ELV000398209 volume:29 year:2020 number:4 pages:634-640 extent:7 https://doi.org/10.1016/j.hlc.2019.12.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO 38.48 Marine Geologie VZ 38.90 Ozeanologie Ozeanographie VZ 42.94 Meeresbiologie VZ AR 29 2020 4 634-640 7 |
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10.1016/j.hlc.2019.12.004 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000941.pica (DE-627)ELV049675591 (ELSEVIER)S1443-9506(19)31554-9 DE-627 ger DE-627 rakwb eng 550 VZ 38.48 bkl 38.90 bkl 42.94 bkl Gladding, Patrick A. verfasserin aut Polygenic Risk Scores in Coronary Artery Disease and Atrial Fibrillation 2020transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. Polygenic risk score Elsevier Whole Genome Sequencing (WGS) Elsevier meta-genomic risk score (metaGRS) Elsevier Atrial fibrillation Elsevier Genetics Elsevier Genome-wide association studies (GWAS) Elsevier Coronary artery disease Elsevier Legget, Malcolm oth Fatkin, Diane oth Larsen, Peter oth Doughty, Robert oth Enthalten in Elsevier Eggertsen, L. ELSEVIER Seaweed beds support more juvenile reef fish than seagrass beds in a south-western Atlantic tropical seascape 2017 Amsterdam [u.a.] (DE-627)ELV000398209 volume:29 year:2020 number:4 pages:634-640 extent:7 https://doi.org/10.1016/j.hlc.2019.12.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO 38.48 Marine Geologie VZ 38.90 Ozeanologie Ozeanographie VZ 42.94 Meeresbiologie VZ AR 29 2020 4 634-640 7 |
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10.1016/j.hlc.2019.12.004 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000941.pica (DE-627)ELV049675591 (ELSEVIER)S1443-9506(19)31554-9 DE-627 ger DE-627 rakwb eng 550 VZ 38.48 bkl 38.90 bkl 42.94 bkl Gladding, Patrick A. verfasserin aut Polygenic Risk Scores in Coronary Artery Disease and Atrial Fibrillation 2020transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. Polygenic risk score Elsevier Whole Genome Sequencing (WGS) Elsevier meta-genomic risk score (metaGRS) Elsevier Atrial fibrillation Elsevier Genetics Elsevier Genome-wide association studies (GWAS) Elsevier Coronary artery disease Elsevier Legget, Malcolm oth Fatkin, Diane oth Larsen, Peter oth Doughty, Robert oth Enthalten in Elsevier Eggertsen, L. ELSEVIER Seaweed beds support more juvenile reef fish than seagrass beds in a south-western Atlantic tropical seascape 2017 Amsterdam [u.a.] (DE-627)ELV000398209 volume:29 year:2020 number:4 pages:634-640 extent:7 https://doi.org/10.1016/j.hlc.2019.12.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO 38.48 Marine Geologie VZ 38.90 Ozeanologie Ozeanographie VZ 42.94 Meeresbiologie VZ AR 29 2020 4 634-640 7 |
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Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. |
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Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. |
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Coronary artery disease (CAD) and atrial fibrillation (AF) are two highly prevalent cardiovascular disorders that are associated with substantial morbidity and mortality. Conventional clinical risk factors for these disorders may not be identified prior to mid-adult life when pathophysiological processes are already established. A better understanding of the genetic underpinnings of disease should facilitate early detection of individuals at risk and preventative intervention. Single rare variants of large effect size that are causative for CAD, AF, or predisposing factors such as hypertension or hyperlipidaemia, may give rise to familial forms of disease. However, in most individuals, CAD and AF are complex traits in which combinations of genetic and acquired factors play a role. Common genetic variants that affect disease susceptibility have been identified by genome-wide association studies, but the predictive value of any single variant is limited. To address this issue, polygenic risk scores (PRS), comprised of suites of disease-associated common variants have been devised. In CAD and AF, incorporation of PRS into risk stratification algorithms has provided incremental prognostic information to clinical factors alone. The long-term health and economic benefits of PRS-guided clinical management remain to be determined however, and further evidence-based data are required. |
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