| CNV |
The gene
copy number (also "copy number variants" or CNVs) is the number of
copies of a particular gene in the genotype of an individual. Recent
evidence shows that the gene copy number can be elevated in cancer
cells.
The human genome is comprised of 6
billion chemical bases (or nucleotides) of DNA packaged into two sets
of 23 chromosomes, one set inherited from each parent. The DNA encodes
roughly 27,000 genes. It was generally thought that genes were almost
always present in two copies in a genome. However, recent discoveries
have revealed that large segments of DNA, ranging in size from
thousands to millions of DNA bases, can vary in copy-number. Such copy
number variations (or CNVs) can encompass genes leading to dosage
imbalances. For example, genes that were thought to always occur in two
copies per genome have now been found to sometimes be present in one,
three, or more than three copies. In a few rare instances the genes are
missing altogether (see figure).
Why
are CNVs important?
Differences in the DNA sequence of our genomes contribute to our
uniqueness. These changes influence most traits including
susceptibility to disease. It was thought that single nucleotide
changes (called SNPs) in DNA were the most prevalent and important form
of genetic variation. The current studies reveal that CNVs comprise at
least three times the total nucleotide content of SNPs. Since CNVs
often encompass genes, they may have important roles both in human
disease and drug response. Understanding the mechanisms of CNV
formation may also help us better understand human genome evolution.
How
does the new CNV map help?
The new global CNV map will transform medical research in four areas.
The first and most important area is in hunting for genes underlying
common diseases. To date, attempts to identify these genes have not
really considered the role CNVs may play in human health. Second, the
CNV map is being used to study familial genetic conditions. Third,
there are thousands of severe developmental defects caused by
chromosomal rearrangements. The CNV map is being used to exclude
variation found in unaffected individuals, helping researchers to
target the region that might be involved. The data generated will also
contribute to a more accurate and complete human genome reference
sequence used by all biomedical scientists.
http://CNV.gene-quantification.info
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| new
added papers |
Finding
copy-number variants.
Nicol Rusk
Nature Methods 2008 5(11) 917
Large-scale
copy number variants (CNVs): Distribution in normal subjects and
FISH/real-time qPCR analysis.
Ying Qiao, Xudong
Liu, Chansonette Harvard, Sarah L Nolin, W Ted Brown, Maryam Koochek,
Jeanette JA Holden, ME Suzanne Lewis, and Evica Rajcan-Separovic
BMC Genomics 2007, 8: 167-177
Global
variation in copy number in the human genome.
Richard Redon,
Shumpei Ishikawa, Karen R. Fitch, Lars Feuk, George H. Perry, T. Daniel
Andrews, Heike Fiegler,
Michael H. Shapero, ......et al.
Nature (2006) Vol 444. 444-454
Accurate and objective copy number profiling using
real-time quantitative PCR
Barbara D’haene, Jo
Vandesompele, Jan Hellemans
Methods Vol 50, Issue 4,
Pages 262-270
Taking qPCR to a higher level: Analysis of CNV reveals
the power of high throughput qPCR to enhance quantitative resolution
Suzanne Weaver, Simant Dube,
Alain Mir, Jian Qin, Gang Sun, Ramesh Ramakrishnan, Robert C. Jones,
Kenneth J. Livak
Methods Vol 50, Issue 4, Pages 271-276
Copy number variation and evolution in humans and
chimpanzees.
Perry GH, Yang F, Marques-Bonet T, Murphy C,
Fitzgerald T, Lee AS, Hyland C, Stone AC, Hurles ME, Tyler-Smith C,
Eichler EE, Carter NP, Lee C, Redon R.
Genome Res. 2008 18(11): 1698-1710
Methods to detect and
analyze copynumber variations at the genome-wideand locus-specific
levels.
J.H. Lee and J.T. Jeon
Cytogenet Genome Res 123:333–342 (2008)
Methods and strategies
for analyzing copy number variation using DNA microarrays.
Carter NP.
Nat Genet. 2007 39(7 Suppl): S16-21. Review.
Simultaneous mutation
and copy number variation (CNV) detection by multiplex PCR-based GS-FLX
sequencing.
Goossens D, Moens LN, Nelis E, Lenaerts AS,
Glassee W, Kalbe A, Frey B, Kopal G, De Jonghe P, De Rijk P, Del-Favero
J.
Hum Mutat. 2009 30(3): 472-476
Genome-wide analysis of
transcript isoform variation in humans.
Kwan T, Benovoy D, Dias C, Gurd S, Provencher
C, Beaulieu P, Hudson TJ, Sladek R, Majewski J.
Nat Genet. 2008 40(2): 225-231.
Transcript copy number
estimation using a mouse whole-genome oligonucleotide microarray.
Mark G Carter, Alexei A Sharov, Vincent
VanBuren, Dawood B Dudekula, Condie E Carmack, Charlie Nelson and
Minoru S H Ko
Genome Biology 2005, 6:R61
Comparative study of
three PCR-based copy number variant approaches, CFMSA, M-PCR, and MLPA,
in 22q11.2 deletion syndrome.
Yang C, Zhu X, Yi L, Shi Z, Wang H, Hu Y, Wang
Y.
Genet Test Mol Biomarkers. 2009 13(6): 803-808
Copy-number variation
genotyping of GSTT1 and GSTM1 gene deletions by real-time PCR.
Rose-Zerilli MJ, Barton SJ, Henderson AJ,
Shaheen SO, Holloway JW.
Clin Chem. 2009 55(9): 1680-1685
High-throughput
genotyping of copy number variation in glutathione S-transferases M1
and T1 using real-time PCR in 20,687 individuals.
Nørskov MS, Frikke-Schmidt R, Loft S,
Tybjaerg-Hansen A.
Clin Biochem. 2009 42(3): 201-209
Candidate gene copy
number analysis by PCR and multicapillary electrophoresis.
Szantai E, Elek Z, Guttman A, Sasvari-Szekely
M.
Electrophoresis. 2009 30(7): 1098-1101.
Statistical tools for
transgene copy number estimation based on real-time PCR.
Joshua S Yuan, Jason Burris, Nathan R Stewart,
Ayalew Mentewab and C Neal Stewart
BMC Bioinformatics 2007, 8(): S6
Copy number variation
goes clinical.
A meeting report
Le Caignec C, Redon R.
Genome Biol. 2009;10(1): 301-303
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qPCR
SYMPOSIUM USA
CALL for
papers
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On behalf of Scientific
Committee it is my pleasure to invite you to attend 4th qPCR Symposium
USA from November 1-4, 2010 at Millbrae, CA (very close to San
Francisco International Airport).
We are inviting scientific papers to present during the Symposium. The
scientific sessions will be held on November 1-2, 2010.
Please email
your abstract to => presentation@qPCRsymposium.com
to be reviewed by the committee.
The Symposium features keynote speech, scientific sessions, poster
presentations, industrial exhibition, courses and networking events.
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qPCR Symposium USA
1. - 4 November 2010
San Francisco Bay Area, Millbrae, CA , USA
Clarion Hotel San Fransisco Airport
www.qPCRsymposium.com
Scientific
Committee Members:
- Stephen A Bustin, Ph.D.
- Gregory L. Shipley,
Ph.D.
- Michael W. Pfaffl,
Ph.D.
- Mikael Kubista
Ph.D.
- Kevin L. Knudtson, Ph.D
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The
focus of the Symposium is on:
- Preanalytics – Sample
preparation, extraction and purification
- Standardization and quality
control
- High throughput qPCR –
digital PCR, integration, workflow
- High Resolution Melting (HRM)
– Epigenetics, mutation analysis, copy number variation
- Molecular diagnostics of
complex diseases – detection and profiling of tumor cells
- Single-cell and subcellular
expression profiling
- Non coding RNAs
- qPCR experimental design
- qPCR data mining
- Next generation sequencing
techniques – complement or competitor to qPCR?
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