| pubmed-article:20380755 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:20380755 | lifeskim:mentions | umls-concept:C0018270 | lld:lifeskim |
| pubmed-article:20380755 | lifeskim:mentions | umls-concept:C0549193 | lld:lifeskim |
| pubmed-article:20380755 | lifeskim:mentions | umls-concept:C1283195 | lld:lifeskim |
| pubmed-article:20380755 | lifeskim:mentions | umls-concept:C0205134 | lld:lifeskim |
| pubmed-article:20380755 | pubmed:dateCreated | 2010-4-12 | lld:pubmed |
| pubmed-article:20380755 | pubmed:abstractText | Identification of QTL affecting a phenotype which is measured multiple times on the same experimental unit is not a trivial task because the repeated measures are not independent and in most cases show a trend in time. A complicating factor is that in most cases the mean increases non-linear with time as well as the variance. A two- step approach was used to analyze a simulated data set containing 1000 individuals with 5 measurements each. First the measurements were summarized in latent variables and subsequently a genome wide analysis was performed of these latent variables to identify segregating QTL using a Bayesian algorithm. | lld:pubmed |
| pubmed-article:20380755 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:20380755 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:20380755 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:20380755 | pubmed:language | eng | lld:pubmed |
| pubmed-article:20380755 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:20380755 | pubmed:status | PubMed-not-MEDLINE | lld:pubmed |
| pubmed-article:20380755 | pubmed:issn | 1753-6561 | lld:pubmed |
| pubmed-article:20380755 | pubmed:author | pubmed-author:JanssLuc L... | lld:pubmed |
| pubmed-article:20380755 | pubmed:author | pubmed-author:HeuvenHenri... | lld:pubmed |
| pubmed-article:20380755 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:20380755 | pubmed:volume | 4 Suppl 1 | lld:pubmed |
| pubmed-article:20380755 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:20380755 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:20380755 | pubmed:pagination | S12 | lld:pubmed |
| pubmed-article:20380755 | pubmed:dateRevised | 2011-10-24 | lld:pubmed |
| pubmed-article:20380755 | pubmed:year | 2010 | lld:pubmed |
| pubmed-article:20380755 | pubmed:articleTitle | Bayesian multi-QTL mapping for growth curve parameters. | lld:pubmed |
| pubmed-article:20380755 | pubmed:affiliation | Clinical Sciences of Companion Animals Faculty of Veterinary Medicine, Utrecht University P,O, box 80163, 3508 TD Utrecht, The Netherlands . h.c.m.heuven@uu.nl. | lld:pubmed |
| pubmed-article:20380755 | pubmed:publicationType | Journal Article | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:20380755 | lld:pubmed |
