| pubmed-article:19365135 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:19365135 | lifeskim:mentions | umls-concept:C0032659 | lld:lifeskim |
| pubmed-article:19365135 | lifeskim:mentions | umls-concept:C0205409 | lld:lifeskim |
| pubmed-article:19365135 | lifeskim:mentions | umls-concept:C0796345 | lld:lifeskim |
| pubmed-article:19365135 | lifeskim:mentions | umls-concept:C1519327 | lld:lifeskim |
| pubmed-article:19365135 | lifeskim:mentions | umls-concept:C0439794 | lld:lifeskim |
| pubmed-article:19365135 | pubmed:issue | 2 | lld:pubmed |
| pubmed-article:19365135 | pubmed:dateCreated | 2009-5-29 | lld:pubmed |
| pubmed-article:19365135 | pubmed:abstractText | SNP maps are becoming the gold standard for genetic markers, even for linkage analyses. However, because of the density of SNPs on most high throughput platforms, the resulting significant linkage disequilibrium (LD) can bias classical nonparametric multipoint linkage analyses. This problem may be even stronger in population isolates where LD can extend over larger distances and with a more stochastic pattern. We investigate the issue of linkage analysis with SNPs from the Affymetrix 500K GeneChip array in extended families from the isolated Hutterite population. | lld:pubmed |
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| pubmed-article:19365135 | pubmed:language | eng | lld:pubmed |
| pubmed-article:19365135 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19365135 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:19365135 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:19365135 | pubmed:issn | 1423-0062 | lld:pubmed |
| pubmed-article:19365135 | pubmed:author | pubmed-author:OberCaroleC | lld:pubmed |
| pubmed-article:19365135 | pubmed:author | pubmed-author:BourgainCathe... | lld:pubmed |
| pubmed-article:19365135 | pubmed:author | pubmed-author:BellenguezCél... | lld:pubmed |
| pubmed-article:19365135 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:19365135 | pubmed:volume | 68 | lld:pubmed |
| pubmed-article:19365135 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:19365135 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:19365135 | pubmed:pagination | 87-97 | lld:pubmed |
| pubmed-article:19365135 | pubmed:dateRevised | 2010-11-18 | lld:pubmed |
| pubmed-article:19365135 | pubmed:meshHeading | pubmed-meshheading:19365135... | lld:pubmed |
| pubmed-article:19365135 | pubmed:meshHeading | pubmed-meshheading:19365135... | lld:pubmed |
| pubmed-article:19365135 | pubmed:meshHeading | pubmed-meshheading:19365135... | lld:pubmed |
| pubmed-article:19365135 | pubmed:meshHeading | pubmed-meshheading:19365135... | lld:pubmed |
| pubmed-article:19365135 | pubmed:meshHeading | pubmed-meshheading:19365135... | lld:pubmed |
| pubmed-article:19365135 | pubmed:meshHeading | pubmed-meshheading:19365135... | lld:pubmed |
| pubmed-article:19365135 | pubmed:year | 2009 | lld:pubmed |
| pubmed-article:19365135 | pubmed:articleTitle | Linkage analysis with dense SNP maps in isolated populations. | lld:pubmed |
| pubmed-article:19365135 | pubmed:affiliation | Université Paris Sud, UMR_S535, Villejuif, France. celine.bellenguez@inserm.fr | lld:pubmed |
| pubmed-article:19365135 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:19365135 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| pubmed-article:19365135 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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