Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data
<p>Abstract</p> <p>A multi-locus QTL mapping method is presented, which combines linkage and linkage disequilibrium (LD) information and uses multitrait data. The method assumed a putative QTL at the midpoint of each marker bracket. Whether the putative QTL had an effect or not was...
| Main Authors: | , |
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| Format: | Article |
| Language: | deu |
| Published: |
BMC
2004-05-01
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| Series: | Genetics Selection Evolution |
| Subjects: | |
| Online Access: | http://www.gsejournal.org/content/36/3/261 |
| _version_ | 1818788716622118912 |
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| author | Goddard Mike E Meuwissen Theo HE |
| author_facet | Goddard Mike E Meuwissen Theo HE |
| author_sort | Goddard Mike E |
| collection | DOAJ |
| description | <p>Abstract</p> <p>A multi-locus QTL mapping method is presented, which combines linkage and linkage disequilibrium (LD) information and uses multitrait data. The method assumed a putative QTL at the midpoint of each marker bracket. Whether the putative QTL had an effect or not was sampled using Markov chain Monte Carlo (MCMC) methods. The method was tested in dairy cattle data on chromosome 14 where the DGAT1 gene was known to be segregating. The DGAT1 gene was mapped to a region of 0.04 cM, and the effects of the gene were accurately estimated. The fitting of multiple QTL gave a much sharper indication of the QTL position than a single QTL model using multitrait data, probably because the multi-locus QTL mapping reduced the carry over effect of the large DGAT1 gene to adjacent putative QTL positions. This suggests that the method could detect secondary QTL that would, in single point analyses, remain hidden under the broad peak of the dominant QTL. However, no indications for a second QTL affecting dairy traits were found on chromosome 14.</p> |
| first_indexed | 2024-12-18T14:28:05Z |
| format | Article |
| id | doaj.art-0cb1410c806b41a4acdb99e66bc45c1d |
| institution | Directory Open Access Journal |
| issn | 0999-193X 1297-9686 |
| language | deu |
| last_indexed | 2024-12-18T14:28:05Z |
| publishDate | 2004-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Genetics Selection Evolution |
| spelling | doaj.art-0cb1410c806b41a4acdb99e66bc45c1d2022-12-21T21:04:38ZdeuBMCGenetics Selection Evolution0999-193X1297-96862004-05-0136326127910.1186/1297-9686-36-3-261Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait dataGoddard Mike EMeuwissen Theo HE<p>Abstract</p> <p>A multi-locus QTL mapping method is presented, which combines linkage and linkage disequilibrium (LD) information and uses multitrait data. The method assumed a putative QTL at the midpoint of each marker bracket. Whether the putative QTL had an effect or not was sampled using Markov chain Monte Carlo (MCMC) methods. The method was tested in dairy cattle data on chromosome 14 where the DGAT1 gene was known to be segregating. The DGAT1 gene was mapped to a region of 0.04 cM, and the effects of the gene were accurately estimated. The fitting of multiple QTL gave a much sharper indication of the QTL position than a single QTL model using multitrait data, probably because the multi-locus QTL mapping reduced the carry over effect of the large DGAT1 gene to adjacent putative QTL positions. This suggests that the method could detect secondary QTL that would, in single point analyses, remain hidden under the broad peak of the dominant QTL. However, no indications for a second QTL affecting dairy traits were found on chromosome 14.</p>http://www.gsejournal.org/content/36/3/261QTL mappinglinkage analysislinkage disequilibrium mappingmultitrait analysismulti-locus mapping |
| spellingShingle | Goddard Mike E Meuwissen Theo HE Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data Genetics Selection Evolution QTL mapping linkage analysis linkage disequilibrium mapping multitrait analysis multi-locus mapping |
| title | Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data |
| title_full | Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data |
| title_fullStr | Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data |
| title_full_unstemmed | Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data |
| title_short | Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data |
| title_sort | mapping multiple qtl using linkage disequilibrium and linkage analysis information and multitrait data |
| topic | QTL mapping linkage analysis linkage disequilibrium mapping multitrait analysis multi-locus mapping |
| url | http://www.gsejournal.org/content/36/3/261 |
| work_keys_str_mv | AT goddardmikee mappingmultipleqtlusinglinkagedisequilibriumandlinkageanalysisinformationandmultitraitdata AT meuwissentheohe mappingmultipleqtlusinglinkagedisequilibriumandlinkageanalysisinformationandmultitraitdata |