A general approach to power calculation for relationship testing
This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the geno...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Egeland, Thore [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014transfer abstract |
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| Schlagwörter: |
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| Umfang: |
5 |
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| Übergeordnetes Werk: |
Enthalten in: Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination - Lim, A.G. ELSEVIER, 2017, an international journal dedicated to the applications of genetics in the administration of justice, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:9 ; year:2014 ; pages:186-190 ; extent:5 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.fsigen.2013.05.001 |
|---|
| Katalog-ID: |
ELV028055667 |
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| 520 | |a This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. | ||
| 520 | |a This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. | ||
| 650 | 7 | |a Relationship testing |2 Elsevier | |
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| 650 | 7 | |a Forensics |2 Elsevier | |
| 650 | 7 | |a Power of exclusion |2 Elsevier | |
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| 700 | 1 | |a Pinto, Nadia |4 oth | |
| 700 | 1 | |a Vigeland, Magnus Dehli |4 oth | |
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10.1016/j.fsigen.2013.05.001 doi GBVA2014009000015.pica (DE-627)ELV028055667 (ELSEVIER)S1872-4973(13)00111-7 DE-627 ger DE-627 rakwb eng 340 610 340 DE-600 610 DE-600 610 VZ 610 VZ 44.44 bkl Egeland, Thore verfasserin aut A general approach to power calculation for relationship testing 2014transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. Relationship testing Elsevier paramlink Elsevier Forensics Elsevier Power of exclusion Elsevier R Elsevier Pinto, Nadia oth Vigeland, Magnus Dehli oth Enthalten in Elsevier Science Lim, A.G. ELSEVIER Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination 2017 an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV014877864 volume:9 year:2014 pages:186-190 extent:5 https://doi.org/10.1016/j.fsigen.2013.05.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_40 44.44 Parasitologie Medizin VZ AR 9 2014 186-190 5 045F 340 |
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10.1016/j.fsigen.2013.05.001 doi GBVA2014009000015.pica (DE-627)ELV028055667 (ELSEVIER)S1872-4973(13)00111-7 DE-627 ger DE-627 rakwb eng 340 610 340 DE-600 610 DE-600 610 VZ 610 VZ 44.44 bkl Egeland, Thore verfasserin aut A general approach to power calculation for relationship testing 2014transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. Relationship testing Elsevier paramlink Elsevier Forensics Elsevier Power of exclusion Elsevier R Elsevier Pinto, Nadia oth Vigeland, Magnus Dehli oth Enthalten in Elsevier Science Lim, A.G. ELSEVIER Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination 2017 an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV014877864 volume:9 year:2014 pages:186-190 extent:5 https://doi.org/10.1016/j.fsigen.2013.05.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_40 44.44 Parasitologie Medizin VZ AR 9 2014 186-190 5 045F 340 |
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10.1016/j.fsigen.2013.05.001 doi GBVA2014009000015.pica (DE-627)ELV028055667 (ELSEVIER)S1872-4973(13)00111-7 DE-627 ger DE-627 rakwb eng 340 610 340 DE-600 610 DE-600 610 VZ 610 VZ 44.44 bkl Egeland, Thore verfasserin aut A general approach to power calculation for relationship testing 2014transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. Relationship testing Elsevier paramlink Elsevier Forensics Elsevier Power of exclusion Elsevier R Elsevier Pinto, Nadia oth Vigeland, Magnus Dehli oth Enthalten in Elsevier Science Lim, A.G. ELSEVIER Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination 2017 an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV014877864 volume:9 year:2014 pages:186-190 extent:5 https://doi.org/10.1016/j.fsigen.2013.05.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_40 44.44 Parasitologie Medizin VZ AR 9 2014 186-190 5 045F 340 |
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10.1016/j.fsigen.2013.05.001 doi GBVA2014009000015.pica (DE-627)ELV028055667 (ELSEVIER)S1872-4973(13)00111-7 DE-627 ger DE-627 rakwb eng 340 610 340 DE-600 610 DE-600 610 VZ 610 VZ 44.44 bkl Egeland, Thore verfasserin aut A general approach to power calculation for relationship testing 2014transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. Relationship testing Elsevier paramlink Elsevier Forensics Elsevier Power of exclusion Elsevier R Elsevier Pinto, Nadia oth Vigeland, Magnus Dehli oth Enthalten in Elsevier Science Lim, A.G. ELSEVIER Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination 2017 an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV014877864 volume:9 year:2014 pages:186-190 extent:5 https://doi.org/10.1016/j.fsigen.2013.05.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_40 44.44 Parasitologie Medizin VZ AR 9 2014 186-190 5 045F 340 |
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10.1016/j.fsigen.2013.05.001 doi GBVA2014009000015.pica (DE-627)ELV028055667 (ELSEVIER)S1872-4973(13)00111-7 DE-627 ger DE-627 rakwb eng 340 610 340 DE-600 610 DE-600 610 VZ 610 VZ 44.44 bkl Egeland, Thore verfasserin aut A general approach to power calculation for relationship testing 2014transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. Relationship testing Elsevier paramlink Elsevier Forensics Elsevier Power of exclusion Elsevier R Elsevier Pinto, Nadia oth Vigeland, Magnus Dehli oth Enthalten in Elsevier Science Lim, A.G. ELSEVIER Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination 2017 an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV014877864 volume:9 year:2014 pages:186-190 extent:5 https://doi.org/10.1016/j.fsigen.2013.05.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_40 44.44 Parasitologie Medizin VZ AR 9 2014 186-190 5 045F 340 |
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Enthalten in Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination Amsterdam [u.a.] volume:9 year:2014 pages:186-190 extent:5 |
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Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination |
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a general approach to power calculation for relationship testing |
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A general approach to power calculation for relationship testing |
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This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. |
| abstractGer |
This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. |
| abstract_unstemmed |
This paper is motivated by power considerations in connection with relationship testing. Given the true relationship between a set of individuals, a claimed relationship between the same individuals, and a set of genetic markers, we compute the power of exclusion, i.e., the probability that the genotypes will be incompatible with the claimed relationship. If exclusion is impossible, as will be the case if it is required for instance to distinguish between sibs and half sibs, we rather obtain the distribution of the likelihood ratio. The problem we are addressing can also be seen as a standard way of measuring the ability of a battery of tests to resolve claimed family relationships. In particular, simple exclusion probabilities are regularly calculated worldwide as a part of designing forensic marker sets. Our approach to these problems is guided by a natural way of calculating exclusion probabilities on a computer. We present a user friendly implementation for this as part of the R package paramlink, originally designed by one of the authors (MDV) for pedigree manipulations and likelihood computations. By doing so we are able to handle problems more challenging than we have seen in the literature. Specifically, we deal with complex pedigrees with arbitrary inbreeding and conditioning. We present examples for autosomal as well as X-linked markers and some formulae to validate the results. The examples indicate a wide range of applications. Details are presented for an immigration case where previously reported calculations are extended to account for possible inbreeding and known genotypes. The supplementary material includes a tutorial on how to perform these calculations in paramlink. |
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