| pubmed-article:16164764 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:16164764 | lifeskim:mentions | umls-concept:C0000768 | lld:lifeskim |
| pubmed-article:16164764 | lifeskim:mentions | umls-concept:C0881827 | lld:lifeskim |
| pubmed-article:16164764 | lifeskim:mentions | umls-concept:C0036341 | lld:lifeskim |
| pubmed-article:16164764 | lifeskim:mentions | umls-concept:C0017337 | lld:lifeskim |
| pubmed-article:16164764 | lifeskim:mentions | umls-concept:C0014406 | lld:lifeskim |
| pubmed-article:16164764 | pubmed:issue | 10 | lld:pubmed |
| pubmed-article:16164764 | pubmed:dateCreated | 2005-9-16 | lld:pubmed |
| pubmed-article:16164764 | pubmed:abstractText | Structural brain volume abnormalities are among the most extensively studied endophenotypes in schizophrenia. Bivariate genetic model fitting (adjusted to account for selection) was used to quantify the genetic relationship between schizophrenia and brain volumes and to estimate the heritability of these volumes. | lld:pubmed |
| pubmed-article:16164764 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:16164764 | pubmed:language | eng | lld:pubmed |
| pubmed-article:16164764 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:16164764 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:16164764 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:16164764 | pubmed:month | Oct | lld:pubmed |
| pubmed-article:16164764 | pubmed:issn | 0033-2917 | lld:pubmed |
| pubmed-article:16164764 | pubmed:author | pubmed-author:McDonaldCC | lld:pubmed |
| pubmed-article:16164764 | pubmed:author | pubmed-author:MurrayRR | lld:pubmed |
| pubmed-article:16164764 | pubmed:author | pubmed-author:ShamP CPC | lld:pubmed |
| pubmed-article:16164764 | pubmed:author | pubmed-author:KahnR SRS | lld:pubmed |
| pubmed-article:16164764 | pubmed:author | pubmed-author:RijsdijkF VFV | lld:pubmed |
| pubmed-article:16164764 | pubmed:author | pubmed-author:Hulshoff... | lld:pubmed |
| pubmed-article:16164764 | pubmed:author | pubmed-author:PicchioniM... | lld:pubmed |
| pubmed-article:16164764 | pubmed:author | pubmed-author:ToulopoulouTT | lld:pubmed |
| pubmed-article:16164764 | pubmed:author | pubmed-author:van HarenN... | lld:pubmed |
| pubmed-article:16164764 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:16164764 | pubmed:volume | 35 | lld:pubmed |
| pubmed-article:16164764 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:16164764 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:16164764 | pubmed:pagination | 1399-409 | lld:pubmed |
| pubmed-article:16164764 | pubmed:dateRevised | 2007-8-13 | lld:pubmed |
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| pubmed-article:16164764 | pubmed:meshHeading | pubmed-meshheading:16164764... | lld:pubmed |
| pubmed-article:16164764 | pubmed:meshHeading | pubmed-meshheading:16164764... | lld:pubmed |
| pubmed-article:16164764 | pubmed:year | 2005 | lld:pubmed |
| pubmed-article:16164764 | pubmed:articleTitle | Brain MRI abnormalities in schizophrenia: same genes or same environment? | lld:pubmed |
| pubmed-article:16164764 | pubmed:affiliation | Social, Genetic & Developmental Psychiatry Research Centre, Institute of Psychiatry, London, UK. f.rijsdijk@iop.kcl.ac.uk | lld:pubmed |
| pubmed-article:16164764 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:16164764 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| pubmed-article:16164764 | pubmed:publicationType | Twin Study | lld:pubmed |
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