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פותח על ידי קלירמאש פתרונות בע"מ -
Standardization and conversion of marker polymorphism measures
Year:
1999
Source of publication :
Animal Biotechnology
Authors :
ולר, יהודה
;
.
רון, מיכה
;
.
Volume :
10
Co-Authors:
Da, Y., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, 301B Veterinary Science, Dept. of Veterinary PathoBiology, University of Minnesota, 1971 Commonwealth Ave., St. Paul, MN 55108, United States
VanRaden, P.M., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Anim. Improvement Programs Lab., Agricultural Research Service, U. States Department of Agriculture, Beltsville, MD 20705, United States
Ron, M., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Agricultural Research Organization, Volcani Center, Bet Dagen 50250, Israel
Beever, J.E., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Laboratory of Immunogenetics, Department of Animal Sciences, Univ. Illinois at Urbana-Champaign, Urbana, IL 61801, United States
Paszek, A.A., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, 301B Veterinary Science, Dept. of Veterinary PathoBiology, University of Minnesota, 1971 Commonwealth Ave., St. Paul, MN 55108, United States
Song, J., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Agricultural Research Organization, Volcani Center, Bet Dagen 50250, Israel
Wiggans, G.R., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Anim. Improvement Programs Lab., Agricultural Research Service, U. States Department of Agriculture, Beltsville, MD 20705, United States
Ma, R., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Laboratory of Immunogenetics, Department of Animal Sciences, Univ. Illinois at Urbana-Champaign, Urbana, IL 61801, United States
Weller, J.I., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Agricultural Research Organization, Volcani Center, Bet Dagen 50250, Israel
Lewin, H.A., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Laboratory of Immunogenetics, Department of Animal Sciences, Univ. Illinois at Urbana-Champaign, Urbana, IL 61801, United States
Facilitators :
From page:
25
To page:
35
(
Total pages:
11
)
Abstract:
Large scale gene mapping efforts in domestic animals have generated and mapped a large number of genetic markers that are useful for mapping quantitative trait and disease loci and for DNA diagnostic purposes such as parentage testing. Marker polymorphism is an important criterion for selecting genetic markers in planning experiment for mapping quantitative trait loci or for DNA diagnostic purposes. Current formulations of marker polymorphism measures are functions of marker allele frequencies. In this study, two measures of marker polymorphism that are available from gene mapping studies and do not require allele frequencies were proposed and analyzed: the observed polymorphic information content (PIC) and the observed family information content (FIC). The observed FIC was more stable than the observed PIC because the observed FIC is unaffected by the variation in the frequency of heterozygous parents. However, both FIC and PIC are dependent on the gene mapping design. The effective number of alleles is recommended as a tool to standardize marker polymorphism measures so that polymorphism of different markers can be compared on an qual basis, and to obtain a new polymorphism measure (such an exclusion probability) from an existing measure (such as FIC). The usage of the effective number of alleles to standardize FIC, PIC and exclusion probabilities is illustrated using genetic markers in a published linkage map.
Note:
Related Files :
Animal
Animals
chromosome map
chromosome mapping
genetic markers
Review
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
20546
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:37
Scientific Publication
Standardization and conversion of marker polymorphism measures
10
Da, Y., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, 301B Veterinary Science, Dept. of Veterinary PathoBiology, University of Minnesota, 1971 Commonwealth Ave., St. Paul, MN 55108, United States
VanRaden, P.M., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Anim. Improvement Programs Lab., Agricultural Research Service, U. States Department of Agriculture, Beltsville, MD 20705, United States
Ron, M., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Agricultural Research Organization, Volcani Center, Bet Dagen 50250, Israel
Beever, J.E., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Laboratory of Immunogenetics, Department of Animal Sciences, Univ. Illinois at Urbana-Champaign, Urbana, IL 61801, United States
Paszek, A.A., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, 301B Veterinary Science, Dept. of Veterinary PathoBiology, University of Minnesota, 1971 Commonwealth Ave., St. Paul, MN 55108, United States
Song, J., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Agricultural Research Organization, Volcani Center, Bet Dagen 50250, Israel
Wiggans, G.R., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Anim. Improvement Programs Lab., Agricultural Research Service, U. States Department of Agriculture, Beltsville, MD 20705, United States
Ma, R., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Laboratory of Immunogenetics, Department of Animal Sciences, Univ. Illinois at Urbana-Champaign, Urbana, IL 61801, United States
Weller, J.I., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Agricultural Research Organization, Volcani Center, Bet Dagen 50250, Israel
Lewin, H.A., Program in Comparative Genomics, Dept. of Veterinary PathoBiology, University of Minnesota, Saint Paul, MN 55108, United States, Laboratory of Immunogenetics, Department of Animal Sciences, Univ. Illinois at Urbana-Champaign, Urbana, IL 61801, United States
Standardization and conversion of marker polymorphism measures
Large scale gene mapping efforts in domestic animals have generated and mapped a large number of genetic markers that are useful for mapping quantitative trait and disease loci and for DNA diagnostic purposes such as parentage testing. Marker polymorphism is an important criterion for selecting genetic markers in planning experiment for mapping quantitative trait loci or for DNA diagnostic purposes. Current formulations of marker polymorphism measures are functions of marker allele frequencies. In this study, two measures of marker polymorphism that are available from gene mapping studies and do not require allele frequencies were proposed and analyzed: the observed polymorphic information content (PIC) and the observed family information content (FIC). The observed FIC was more stable than the observed PIC because the observed FIC is unaffected by the variation in the frequency of heterozygous parents. However, both FIC and PIC are dependent on the gene mapping design. The effective number of alleles is recommended as a tool to standardize marker polymorphism measures so that polymorphism of different markers can be compared on an qual basis, and to obtain a new polymorphism measure (such an exclusion probability) from an existing measure (such as FIC). The usage of the effective number of alleles to standardize FIC, PIC and exclusion probabilities is illustrated using genetic markers in a published linkage map.
Scientific Publication
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