Linked Life Data

17094921

Source:http://linkedlifedata.com/resource/pubmed/id/17094921

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2006-11-10
pubmed:abstractText
A single nucleotide polymorphism (SNP) is the most common type of genetic variation, and millions of SNPs have been documented so far. Because of dense distribution of SNPs across the genome, SNPs are viewed as ideal markers for research use in the post-genomic era. The application of the high-density whole genome-wide SNP array not only leads to more rapid, economical, and high throughput genotyping but also makes the investigation of the genetic variety or change in global patterns possible. The SNP array will be widely used in various research fields, such as large-scale genome-wide linkage and association studies to discover susceptibility genes in cancer, and loss of heterozygosity analysis to discover tumor suppressor genes and tumor molecular markers, and so on.
pubmed:language
chi
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1000-467X
pubmed:author
pubmed:issnType
Print
pubmed:volume
25
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1454-8
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
[Advances in high-density whole genome-wide single nucleotide polymorphism array in cancer research].
pubmed:affiliation
Cancer Research Institute, Central South University, Changsha, Hunan, 410078, P. R. China.
pubmed:publicationType
Journal Article, English Abstract, Review, Research Support, Non-U.S. Gov't