Structural model analysis of multiple quantitative traits.
We introduce a method for the analysis of multilocus, multitrait genetic data that provides an intuitive and precise characterization of genetic architecture. We show that it is possible to infer the magnitude and direction of causal relationships among multiple correlated phenotypes and illustrate...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2006-07-01
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| Series: | PLoS Genetics |
| Online Access: | http://europepmc.org/articles/PMC1513264?pdf=render |
| _version_ | 1818408124346793984 |
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| author | Renhua Li Shirng-Wern Tsaih Keith Shockley Ioannis M Stylianou Jon Wergedal Beverly Paigen Gary A Churchill |
| author_facet | Renhua Li Shirng-Wern Tsaih Keith Shockley Ioannis M Stylianou Jon Wergedal Beverly Paigen Gary A Churchill |
| author_sort | Renhua Li |
| collection | DOAJ |
| description | We introduce a method for the analysis of multilocus, multitrait genetic data that provides an intuitive and precise characterization of genetic architecture. We show that it is possible to infer the magnitude and direction of causal relationships among multiple correlated phenotypes and illustrate the technique using body composition and bone density data from mouse intercross populations. Using these techniques we are able to distinguish genetic loci that affect adiposity from those that affect overall body size and thus reveal a shortcoming of standardized measures such as body mass index that are widely used in obesity research. The identification of causal networks sheds light on the nature of genetic heterogeneity and pleiotropy in complex genetic systems. |
| first_indexed | 2024-12-14T09:38:44Z |
| format | Article |
| id | doaj.art-353b2fb83c2c4ebdabcc91228d442a66 |
| institution | Directory Open Access Journal |
| issn | 1553-7390 1553-7404 |
| language | English |
| last_indexed | 2024-12-14T09:38:44Z |
| publishDate | 2006-07-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Genetics |
| spelling | doaj.art-353b2fb83c2c4ebdabcc91228d442a662022-12-21T23:07:52ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042006-07-0127e11410.1371/journal.pgen.0020114Structural model analysis of multiple quantitative traits.Renhua LiShirng-Wern TsaihKeith ShockleyIoannis M StylianouJon WergedalBeverly PaigenGary A ChurchillWe introduce a method for the analysis of multilocus, multitrait genetic data that provides an intuitive and precise characterization of genetic architecture. We show that it is possible to infer the magnitude and direction of causal relationships among multiple correlated phenotypes and illustrate the technique using body composition and bone density data from mouse intercross populations. Using these techniques we are able to distinguish genetic loci that affect adiposity from those that affect overall body size and thus reveal a shortcoming of standardized measures such as body mass index that are widely used in obesity research. The identification of causal networks sheds light on the nature of genetic heterogeneity and pleiotropy in complex genetic systems.http://europepmc.org/articles/PMC1513264?pdf=render |
| spellingShingle | Renhua Li Shirng-Wern Tsaih Keith Shockley Ioannis M Stylianou Jon Wergedal Beverly Paigen Gary A Churchill Structural model analysis of multiple quantitative traits. PLoS Genetics |
| title | Structural model analysis of multiple quantitative traits. |
| title_full | Structural model analysis of multiple quantitative traits. |
| title_fullStr | Structural model analysis of multiple quantitative traits. |
| title_full_unstemmed | Structural model analysis of multiple quantitative traits. |
| title_short | Structural model analysis of multiple quantitative traits. |
| title_sort | structural model analysis of multiple quantitative traits |
| url | http://europepmc.org/articles/PMC1513264?pdf=render |
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