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rdf:type |
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lifeskim:mentions |
umls-concept:C0007634,
umls-concept:C0012727,
umls-concept:C0017428,
umls-concept:C0205171,
umls-concept:C0220825,
umls-concept:C0439064,
umls-concept:C0680011,
umls-concept:C0752046,
umls-concept:C1510941,
umls-concept:C1521871,
umls-concept:C1551362,
umls-concept:C1999244
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pubmed:issue |
11
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pubmed:dateCreated |
2009-10-16
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pubmed:abstractText |
The scarce amount of DNA contained in a single cell is a limiting factor for clinical application of preimplantation genetic diagnosis mainly due to the risk of misdiagnosis caused by allele dropout and the difficulty in obtaining copy number variations in all 23 pairs of chromosomes. Multiple displacement amplification (MDA) has been reported to generate large quantity of products from small amount of templates. Here, we evaluated the fidelity of whole-genome amplification MDA from single or a few cells and determined the accuracy of chromosome copy number assessment on these MDA products using an Affymetrix 10K 2.0 SNP Mapping Array. An average coverage rate (86.2%) from single cells was obtained and the rates increased significantly when five or more cells were used as templates. Higher concordance for chromosome copy number from single cells could be achieved when the MDA amplified product was used as reference (93.1%) than when gDNA used as reference (82.8%). The present study indicates that satisfactory genome coverage can be obtained from single-cell MDA which may be used for studies where only a minute amount of genetic materials is available. Clinically, MDA coupled with SNP mapping array may provide a reliable and accurate method for chromosome copy number analysis and most likely for the detection of single-gene disorders as well.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-11779116,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-11794220,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-11959976,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-12083397,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-12802048,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-12960966,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-14556801,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-15060841,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-15150323,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-15322224,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-15465849,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-15690424,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-15942023,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-1631067,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-1639399,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-16439806,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-16619243,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-16698960,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-17178751,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-17262877,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-17269488,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-17278176,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-17439955,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-18074030,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-18376389,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-19079969,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-8150925,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-8787693,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19671595-8962113
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Nov
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pubmed:issn |
1460-2407
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
15
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
739-47
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pubmed:dateRevised |
2010-9-27
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pubmed:meshHeading |
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pubmed:year |
2009
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pubmed:articleTitle |
Evaluation of genome coverage and fidelity of multiple displacement amplification from single cells by SNP array.
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pubmed:affiliation |
Ronald O. Perelman and Claudia Cohen Center for Reproductive Medicine and Infertility, Weill Cornell Medical College of Cornell University, 1305 York Avenue, New York, NY 10021, USA.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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