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Association Analysis in a Variance Components Framework
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| Zeitschriftentitel: | Genetic Epidemiology |
|---|---|
| Personen und Körperschaften: | , , , , |
| In: | Genetic Epidemiology, 21, 2001, S1 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
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| Schlagwörter: |
| author_facet |
Abecasis, Gonçalo R. Cardon, Lon R. Cookson, William O.C. Sham, Pak C. Cherny, Stacey S. Abecasis, Gonçalo R. Cardon, Lon R. Cookson, William O.C. Sham, Pak C. Cherny, Stacey S. |
|---|---|
| author |
Abecasis, Gonçalo R. Cardon, Lon R. Cookson, William O.C. Sham, Pak C. Cherny, Stacey S. |
| spellingShingle |
Abecasis, Gonçalo R. Cardon, Lon R. Cookson, William O.C. Sham, Pak C. Cherny, Stacey S. Genetic Epidemiology Association Analysis in a Variance Components Framework Genetics (clinical) Epidemiology |
| author_sort |
abecasis, gonçalo r. |
| spelling |
Abecasis, Gonçalo R. Cardon, Lon R. Cookson, William O.C. Sham, Pak C. Cherny, Stacey S. 0741-0395 1098-2272 Wiley Genetics (clinical) Epidemiology http://dx.doi.org/10.1002/gepi.2001.21.s1.s341 <jats:p>Association analyses conducted in a variance components framework can include information from all available individuals but remain unbiased in the presence of familiality or linkage. Models that include both linkage and association parameters provide different estimates of the effect of a single locus and can be used to distinguish causal polymorphisms from other types of variation. We examine some of these models and their properties in a blind analysis of the simulated Genetic Analysis Workshop 12 data sets. © 2001 Wiley‐Liss, Inc.</jats:p> Association Analysis in a Variance Components Framework Genetic Epidemiology |
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10.1002/gepi.2001.21.s1.s341 |
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Wiley, 2001 |
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Wiley, 2001 |
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0741-0395 1098-2272 |
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Genetic Epidemiology |
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| title |
Association Analysis in a Variance Components Framework |
| title_unstemmed |
Association Analysis in a Variance Components Framework |
| title_full |
Association Analysis in a Variance Components Framework |
| title_fullStr |
Association Analysis in a Variance Components Framework |
| title_full_unstemmed |
Association Analysis in a Variance Components Framework |
| title_short |
Association Analysis in a Variance Components Framework |
| title_sort |
association analysis in a variance components framework |
| topic |
Genetics (clinical) Epidemiology |
| url |
http://dx.doi.org/10.1002/gepi.2001.21.s1.s341 |
| publishDate |
2001 |
| physical |
|
| description |
<jats:p>Association analyses conducted in a variance components framework can include information from all available individuals but remain unbiased in the presence of familiality or linkage. Models that include both linkage and association parameters provide different estimates of the effect of a single locus and can be used to distinguish causal polymorphisms from other types of variation. We examine some of these models and their properties in a blind analysis of the simulated Genetic Analysis Workshop 12 data sets. © 2001 Wiley‐Liss, Inc.</jats:p> |
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| author | Abecasis, Gonçalo R., Cardon, Lon R., Cookson, William O.C., Sham, Pak C., Cherny, Stacey S. |
| author_facet | Abecasis, Gonçalo R., Cardon, Lon R., Cookson, William O.C., Sham, Pak C., Cherny, Stacey S., Abecasis, Gonçalo R., Cardon, Lon R., Cookson, William O.C., Sham, Pak C., Cherny, Stacey S. |
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| description | <jats:p>Association analyses conducted in a variance components framework can include information from all available individuals but remain unbiased in the presence of familiality or linkage. Models that include both linkage and association parameters provide different estimates of the effect of a single locus and can be used to distinguish causal polymorphisms from other types of variation. We examine some of these models and their properties in a blind analysis of the simulated Genetic Analysis Workshop 12 data sets. © 2001 Wiley‐Liss, Inc.</jats:p> |
| doi_str_mv | 10.1002/gepi.2001.21.s1.s341 |
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| imprint | Wiley, 2001 |
| imprint_str_mv | Wiley, 2001 |
| institution | DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1 |
| issn | 0741-0395, 1098-2272 |
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| series | Genetic Epidemiology |
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| spelling | Abecasis, Gonçalo R. Cardon, Lon R. Cookson, William O.C. Sham, Pak C. Cherny, Stacey S. 0741-0395 1098-2272 Wiley Genetics (clinical) Epidemiology http://dx.doi.org/10.1002/gepi.2001.21.s1.s341 <jats:p>Association analyses conducted in a variance components framework can include information from all available individuals but remain unbiased in the presence of familiality or linkage. Models that include both linkage and association parameters provide different estimates of the effect of a single locus and can be used to distinguish causal polymorphisms from other types of variation. We examine some of these models and their properties in a blind analysis of the simulated Genetic Analysis Workshop 12 data sets. © 2001 Wiley‐Liss, Inc.</jats:p> Association Analysis in a Variance Components Framework Genetic Epidemiology |
| spellingShingle | Abecasis, Gonçalo R., Cardon, Lon R., Cookson, William O.C., Sham, Pak C., Cherny, Stacey S., Genetic Epidemiology, Association Analysis in a Variance Components Framework, Genetics (clinical), Epidemiology |
| title | Association Analysis in a Variance Components Framework |
| title_full | Association Analysis in a Variance Components Framework |
| title_fullStr | Association Analysis in a Variance Components Framework |
| title_full_unstemmed | Association Analysis in a Variance Components Framework |
| title_short | Association Analysis in a Variance Components Framework |
| title_sort | association analysis in a variance components framework |
| title_unstemmed | Association Analysis in a Variance Components Framework |
| topic | Genetics (clinical), Epidemiology |
| url | http://dx.doi.org/10.1002/gepi.2001.21.s1.s341 |