Genetic data: The new challenge of personalized medicine, insights for rheumatoid arthritis patients
Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disea...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Goulielmos, George N. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: 26957 A study of dermoscopic features in relation to vitiligo activity - Lee, Jae-Ho ELSEVIER, 2021, an international journal on genes, genomes and evolution, Amsterdam |
|---|---|
| Übergeordnetes Werk: |
volume:583 ; year:2016 ; number:2 ; day:1 ; month:06 ; pages:90-101 ; extent:12 |
| Links: |
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| DOI / URN: |
10.1016/j.gene.2016.02.004 |
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ELV029750369 |
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| 520 | |a Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. | ||
| 520 | |a Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. | ||
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10.1016/j.gene.2016.02.004 doi GBV00000000000156A.pica (DE-627)ELV029750369 (ELSEVIER)S0378-1119(16)30044-0 DE-627 ger DE-627 rakwb eng 570 570 DE-600 610 VZ 44.93 bkl Goulielmos, George N. verfasserin aut Genetic data: The new challenge of personalized medicine, insights for rheumatoid arthritis patients 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. Zervou, Maria I. oth Myrthianou, Effie oth Burska, Agata oth Niewold, Timothy B. oth Ponchel, Frederique oth Enthalten in Elsevier Lee, Jae-Ho ELSEVIER 26957 A study of dermoscopic features in relation to vitiligo activity 2021 an international journal on genes, genomes and evolution Amsterdam (DE-627)ELV006417590 volume:583 year:2016 number:2 day:1 month:06 pages:90-101 extent:12 https://doi.org/10.1016/j.gene.2016.02.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.93 Dermatologie VZ AR 583 2016 2 1 0601 90-101 12 045F 570 |
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10.1016/j.gene.2016.02.004 doi GBV00000000000156A.pica (DE-627)ELV029750369 (ELSEVIER)S0378-1119(16)30044-0 DE-627 ger DE-627 rakwb eng 570 570 DE-600 610 VZ 44.93 bkl Goulielmos, George N. verfasserin aut Genetic data: The new challenge of personalized medicine, insights for rheumatoid arthritis patients 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. Zervou, Maria I. oth Myrthianou, Effie oth Burska, Agata oth Niewold, Timothy B. oth Ponchel, Frederique oth Enthalten in Elsevier Lee, Jae-Ho ELSEVIER 26957 A study of dermoscopic features in relation to vitiligo activity 2021 an international journal on genes, genomes and evolution Amsterdam (DE-627)ELV006417590 volume:583 year:2016 number:2 day:1 month:06 pages:90-101 extent:12 https://doi.org/10.1016/j.gene.2016.02.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.93 Dermatologie VZ AR 583 2016 2 1 0601 90-101 12 045F 570 |
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10.1016/j.gene.2016.02.004 doi GBV00000000000156A.pica (DE-627)ELV029750369 (ELSEVIER)S0378-1119(16)30044-0 DE-627 ger DE-627 rakwb eng 570 570 DE-600 610 VZ 44.93 bkl Goulielmos, George N. verfasserin aut Genetic data: The new challenge of personalized medicine, insights for rheumatoid arthritis patients 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. Zervou, Maria I. oth Myrthianou, Effie oth Burska, Agata oth Niewold, Timothy B. oth Ponchel, Frederique oth Enthalten in Elsevier Lee, Jae-Ho ELSEVIER 26957 A study of dermoscopic features in relation to vitiligo activity 2021 an international journal on genes, genomes and evolution Amsterdam (DE-627)ELV006417590 volume:583 year:2016 number:2 day:1 month:06 pages:90-101 extent:12 https://doi.org/10.1016/j.gene.2016.02.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.93 Dermatologie VZ AR 583 2016 2 1 0601 90-101 12 045F 570 |
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10.1016/j.gene.2016.02.004 doi GBV00000000000156A.pica (DE-627)ELV029750369 (ELSEVIER)S0378-1119(16)30044-0 DE-627 ger DE-627 rakwb eng 570 570 DE-600 610 VZ 44.93 bkl Goulielmos, George N. verfasserin aut Genetic data: The new challenge of personalized medicine, insights for rheumatoid arthritis patients 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. Zervou, Maria I. oth Myrthianou, Effie oth Burska, Agata oth Niewold, Timothy B. oth Ponchel, Frederique oth Enthalten in Elsevier Lee, Jae-Ho ELSEVIER 26957 A study of dermoscopic features in relation to vitiligo activity 2021 an international journal on genes, genomes and evolution Amsterdam (DE-627)ELV006417590 volume:583 year:2016 number:2 day:1 month:06 pages:90-101 extent:12 https://doi.org/10.1016/j.gene.2016.02.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.93 Dermatologie VZ AR 583 2016 2 1 0601 90-101 12 045F 570 |
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10.1016/j.gene.2016.02.004 doi GBV00000000000156A.pica (DE-627)ELV029750369 (ELSEVIER)S0378-1119(16)30044-0 DE-627 ger DE-627 rakwb eng 570 570 DE-600 610 VZ 44.93 bkl Goulielmos, George N. verfasserin aut Genetic data: The new challenge of personalized medicine, insights for rheumatoid arthritis patients 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. Zervou, Maria I. oth Myrthianou, Effie oth Burska, Agata oth Niewold, Timothy B. oth Ponchel, Frederique oth Enthalten in Elsevier Lee, Jae-Ho ELSEVIER 26957 A study of dermoscopic features in relation to vitiligo activity 2021 an international journal on genes, genomes and evolution Amsterdam (DE-627)ELV006417590 volume:583 year:2016 number:2 day:1 month:06 pages:90-101 extent:12 https://doi.org/10.1016/j.gene.2016.02.004 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.93 Dermatologie VZ AR 583 2016 2 1 0601 90-101 12 045F 570 |
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Goulielmos, George N. |
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genetic data: the new challenge of personalized medicine, insights for rheumatoid arthritis patients |
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Genetic data: The new challenge of personalized medicine, insights for rheumatoid arthritis patients |
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Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. |
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Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. |
| abstract_unstemmed |
Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene–gene and gene–environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients. |
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Genetic data: The new challenge of personalized medicine, insights for rheumatoid arthritis patients |
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