Estimating heritability for cause specific mortality based on twin studies
Abstract There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider d...
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Gespeichert in:
| Autor*in: |
Scheike, Thomas H. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media New York 2013 |
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| Übergeordnetes Werk: |
Enthalten in: Lifetime data analysis - Springer US, 1995, 20(2013), 2 vom: 02. Feb., Seite 210-233 |
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| Übergeordnetes Werk: |
volume:20 ; year:2013 ; number:2 ; day:02 ; month:02 ; pages:210-233 |
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| DOI / URN: |
10.1007/s10985-013-9244-x |
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| 520 | |a Abstract There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider data from the Danish twin registry and discuss how to define heritability for cancer occurrence. The key point is that this should be done taking censoring as well as competing risks due to e.g. death into account. We describe the dependence between twins on the probability scale and show that various models can be used to achieve sensible estimates of the dependence within monozygotic and dizygotic twin pairs that may vary over time. These dependence measures can subsequently be decomposed into a genetic and environmental component using random effects models. We here present several novel models that in essence describe the association in terms of the concordance probability, i.e., the probability that both twins experience the event, in the competing risks setting. We also discuss how to deal with the left truncation present in the Nordic twin registries, due to sampling only of twin pairs where both twins are alive at the initiation of the registries. | ||
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| 650 | 4 | |a Left truncation | |
| 650 | 4 | |a Heritability | |
| 650 | 4 | |a Survival analysis | |
| 700 | 1 | |a Holst, Klaus K. |4 aut | |
| 700 | 1 | |a Hjelmborg, Jacob B. |4 aut | |
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10.1007/s10985-013-9244-x doi (DE-627)OLC2067136801 (DE-He213)s10985-013-9244-x-p DE-627 ger DE-627 rakwb eng 510 004 VZ Scheike, Thomas H. verfasserin aut Estimating heritability for cause specific mortality based on twin studies 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2013 Abstract There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider data from the Danish twin registry and discuss how to define heritability for cancer occurrence. The key point is that this should be done taking censoring as well as competing risks due to e.g. death into account. We describe the dependence between twins on the probability scale and show that various models can be used to achieve sensible estimates of the dependence within monozygotic and dizygotic twin pairs that may vary over time. These dependence measures can subsequently be decomposed into a genetic and environmental component using random effects models. We here present several novel models that in essence describe the association in terms of the concordance probability, i.e., the probability that both twins experience the event, in the competing risks setting. We also discuss how to deal with the left truncation present in the Nordic twin registries, due to sampling only of twin pairs where both twins are alive at the initiation of the registries. Cause specific hazards Competing risks Delayed entry Left truncation Heritability Survival analysis Holst, Klaus K. aut Hjelmborg, Jacob B. aut Enthalten in Lifetime data analysis Springer US, 1995 20(2013), 2 vom: 02. Feb., Seite 210-233 (DE-627)233193332 (DE-600)1393066-7 (DE-576)07005777X 1380-7870 nnns volume:20 year:2013 number:2 day:02 month:02 pages:210-233 https://doi.org/10.1007/s10985-013-9244-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_4305 AR 20 2013 2 02 02 210-233 |
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10.1007/s10985-013-9244-x doi (DE-627)OLC2067136801 (DE-He213)s10985-013-9244-x-p DE-627 ger DE-627 rakwb eng 510 004 VZ Scheike, Thomas H. verfasserin aut Estimating heritability for cause specific mortality based on twin studies 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2013 Abstract There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider data from the Danish twin registry and discuss how to define heritability for cancer occurrence. The key point is that this should be done taking censoring as well as competing risks due to e.g. death into account. We describe the dependence between twins on the probability scale and show that various models can be used to achieve sensible estimates of the dependence within monozygotic and dizygotic twin pairs that may vary over time. These dependence measures can subsequently be decomposed into a genetic and environmental component using random effects models. We here present several novel models that in essence describe the association in terms of the concordance probability, i.e., the probability that both twins experience the event, in the competing risks setting. We also discuss how to deal with the left truncation present in the Nordic twin registries, due to sampling only of twin pairs where both twins are alive at the initiation of the registries. Cause specific hazards Competing risks Delayed entry Left truncation Heritability Survival analysis Holst, Klaus K. aut Hjelmborg, Jacob B. aut Enthalten in Lifetime data analysis Springer US, 1995 20(2013), 2 vom: 02. Feb., Seite 210-233 (DE-627)233193332 (DE-600)1393066-7 (DE-576)07005777X 1380-7870 nnns volume:20 year:2013 number:2 day:02 month:02 pages:210-233 https://doi.org/10.1007/s10985-013-9244-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_4305 AR 20 2013 2 02 02 210-233 |
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10.1007/s10985-013-9244-x doi (DE-627)OLC2067136801 (DE-He213)s10985-013-9244-x-p DE-627 ger DE-627 rakwb eng 510 004 VZ Scheike, Thomas H. verfasserin aut Estimating heritability for cause specific mortality based on twin studies 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2013 Abstract There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider data from the Danish twin registry and discuss how to define heritability for cancer occurrence. The key point is that this should be done taking censoring as well as competing risks due to e.g. death into account. We describe the dependence between twins on the probability scale and show that various models can be used to achieve sensible estimates of the dependence within monozygotic and dizygotic twin pairs that may vary over time. These dependence measures can subsequently be decomposed into a genetic and environmental component using random effects models. We here present several novel models that in essence describe the association in terms of the concordance probability, i.e., the probability that both twins experience the event, in the competing risks setting. We also discuss how to deal with the left truncation present in the Nordic twin registries, due to sampling only of twin pairs where both twins are alive at the initiation of the registries. Cause specific hazards Competing risks Delayed entry Left truncation Heritability Survival analysis Holst, Klaus K. aut Hjelmborg, Jacob B. aut Enthalten in Lifetime data analysis Springer US, 1995 20(2013), 2 vom: 02. Feb., Seite 210-233 (DE-627)233193332 (DE-600)1393066-7 (DE-576)07005777X 1380-7870 nnns volume:20 year:2013 number:2 day:02 month:02 pages:210-233 https://doi.org/10.1007/s10985-013-9244-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_4305 AR 20 2013 2 02 02 210-233 |
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10.1007/s10985-013-9244-x doi (DE-627)OLC2067136801 (DE-He213)s10985-013-9244-x-p DE-627 ger DE-627 rakwb eng 510 004 VZ Scheike, Thomas H. verfasserin aut Estimating heritability for cause specific mortality based on twin studies 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2013 Abstract There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider data from the Danish twin registry and discuss how to define heritability for cancer occurrence. The key point is that this should be done taking censoring as well as competing risks due to e.g. death into account. We describe the dependence between twins on the probability scale and show that various models can be used to achieve sensible estimates of the dependence within monozygotic and dizygotic twin pairs that may vary over time. These dependence measures can subsequently be decomposed into a genetic and environmental component using random effects models. We here present several novel models that in essence describe the association in terms of the concordance probability, i.e., the probability that both twins experience the event, in the competing risks setting. We also discuss how to deal with the left truncation present in the Nordic twin registries, due to sampling only of twin pairs where both twins are alive at the initiation of the registries. Cause specific hazards Competing risks Delayed entry Left truncation Heritability Survival analysis Holst, Klaus K. aut Hjelmborg, Jacob B. aut Enthalten in Lifetime data analysis Springer US, 1995 20(2013), 2 vom: 02. Feb., Seite 210-233 (DE-627)233193332 (DE-600)1393066-7 (DE-576)07005777X 1380-7870 nnns volume:20 year:2013 number:2 day:02 month:02 pages:210-233 https://doi.org/10.1007/s10985-013-9244-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_4305 AR 20 2013 2 02 02 210-233 |
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10.1007/s10985-013-9244-x doi (DE-627)OLC2067136801 (DE-He213)s10985-013-9244-x-p DE-627 ger DE-627 rakwb eng 510 004 VZ Scheike, Thomas H. verfasserin aut Estimating heritability for cause specific mortality based on twin studies 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2013 Abstract There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider data from the Danish twin registry and discuss how to define heritability for cancer occurrence. The key point is that this should be done taking censoring as well as competing risks due to e.g. death into account. We describe the dependence between twins on the probability scale and show that various models can be used to achieve sensible estimates of the dependence within monozygotic and dizygotic twin pairs that may vary over time. These dependence measures can subsequently be decomposed into a genetic and environmental component using random effects models. We here present several novel models that in essence describe the association in terms of the concordance probability, i.e., the probability that both twins experience the event, in the competing risks setting. We also discuss how to deal with the left truncation present in the Nordic twin registries, due to sampling only of twin pairs where both twins are alive at the initiation of the registries. Cause specific hazards Competing risks Delayed entry Left truncation Heritability Survival analysis Holst, Klaus K. aut Hjelmborg, Jacob B. aut Enthalten in Lifetime data analysis Springer US, 1995 20(2013), 2 vom: 02. Feb., Seite 210-233 (DE-627)233193332 (DE-600)1393066-7 (DE-576)07005777X 1380-7870 nnns volume:20 year:2013 number:2 day:02 month:02 pages:210-233 https://doi.org/10.1007/s10985-013-9244-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_70 GBV_ILN_4305 AR 20 2013 2 02 02 210-233 |
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Abstract There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider data from the Danish twin registry and discuss how to define heritability for cancer occurrence. The key point is that this should be done taking censoring as well as competing risks due to e.g. death into account. We describe the dependence between twins on the probability scale and show that various models can be used to achieve sensible estimates of the dependence within monozygotic and dizygotic twin pairs that may vary over time. These dependence measures can subsequently be decomposed into a genetic and environmental component using random effects models. We here present several novel models that in essence describe the association in terms of the concordance probability, i.e., the probability that both twins experience the event, in the competing risks setting. We also discuss how to deal with the left truncation present in the Nordic twin registries, due to sampling only of twin pairs where both twins are alive at the initiation of the registries. © Springer Science+Business Media New York 2013 |
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Abstract There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider data from the Danish twin registry and discuss how to define heritability for cancer occurrence. The key point is that this should be done taking censoring as well as competing risks due to e.g. death into account. We describe the dependence between twins on the probability scale and show that various models can be used to achieve sensible estimates of the dependence within monozygotic and dizygotic twin pairs that may vary over time. These dependence measures can subsequently be decomposed into a genetic and environmental component using random effects models. We here present several novel models that in essence describe the association in terms of the concordance probability, i.e., the probability that both twins experience the event, in the competing risks setting. We also discuss how to deal with the left truncation present in the Nordic twin registries, due to sampling only of twin pairs where both twins are alive at the initiation of the registries. © Springer Science+Business Media New York 2013 |
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Abstract There has been considerable interest in studying the magnitude and type of inheritance of specific diseases. This is typically derived from family or twin studies, where the basic idea is to compare the correlation for different pairs that share different amount of genes. We here consider data from the Danish twin registry and discuss how to define heritability for cancer occurrence. The key point is that this should be done taking censoring as well as competing risks due to e.g. death into account. We describe the dependence between twins on the probability scale and show that various models can be used to achieve sensible estimates of the dependence within monozygotic and dizygotic twin pairs that may vary over time. These dependence measures can subsequently be decomposed into a genetic and environmental component using random effects models. We here present several novel models that in essence describe the association in terms of the concordance probability, i.e., the probability that both twins experience the event, in the competing risks setting. We also discuss how to deal with the left truncation present in the Nordic twin registries, due to sampling only of twin pairs where both twins are alive at the initiation of the registries. © Springer Science+Business Media New York 2013 |
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Estimating heritability for cause specific mortality based on twin studies |
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Holst, Klaus K. Hjelmborg, Jacob B. |
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