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The Copy Number Variation (CNV) Project
copy number variation

The distribution of copy number variation in the human genome among 270 HapMap samples [Click on image for enlagement]

Genetic diseases are caused by a variety of different possible alterations (mutations) in DNA sequences. We are investigating gains and losses of large chunks of DNA sequence consisting of between ten thousand and five million letters (known as Copy Number Variation). This type of mutation has often been overlooked in previous surveys of mutations that cause genetic diseases. We do not know what proportion of genetic disease is caused by copy number variation (CNV), but we suspect that it is appreciable. We already know that many genetic diseases that occur in families result from these kinds of mutation, we also know that there are Copy Number Variants that protect against HIV infection and malaria. The contribution of CNV to the common, complex diseases (e.g. diabetes, heart disease) is presently unknown.

CGH

Genome-wide CGH comparing two HapMap donors with approximately 27,000 BACs. [Click on image for enlagement]

Mutations (of any type) that increase the chance of an individual developing a common disease are also likely to be found at reasonable frequencies in apparently healthy populations. A range of promising new technologies should, for the first time, allow us to scan the entire human genome for CNV in a single experiment. We are comparing these new technologies for screening hundreds of apparently healthy individuals for CNV.

Using these technologies we are characterising functionally-relevant CNVs at as high resolution as possible, incorporating these variants within association studies for complex diseases, and developing a public resource to facilitate integration of CNV within medical genetic studies.

The copy number variation project draws upon expertise present in several different groups at the Sanger Institute, including: new sequencing technologies, microarray-based analyses, cytogenetics, population genetics, comparative genomics and bioinformatics.

In addition, we have established an international consortium to enable us to achieve our objectives. Together with Charles Lee (Harvard Medical School) and Steve Scherer (Hospital for Sick Kids, Toronto) we are working closely with the developers of leading edge commercial platforms to optimise technologies capable of revealing copy number variation at the highest resolution.

HomoDel

An ~11kb deletion on chromosome 8 revealed by ultra-high resolution CGH. Blue lines: individuals with two copies. Red line: individual with zero copies. [Click on image for enlagement]

The questions that drive our research are:
  • How much copy number variation (CNV) exists between human genomes?
  • How best can CNVs be incorporated into whole genome association studies?
  • What is the contribution of copy number variation to genetic disease?
  • What is the relative contribution of different mutational mechanisms to CNV?
  • What is the genomic impact of CNV on gene expression?
  • What role has copy number variation played in recent human evolution?

Projects and data downloads:
  • Global CNV assessment (Redon et al 2006) (see here)
  • High-resolution CNV discovery (see here)

Team
  • Nigel Carter
  • Matthew Hurles
  • Chris Tyler-Smith
  • Richard Redon
  • Dan Andrews
  • Chris Barnes
  • Tomas Fitzgerald
  • Donald Conrad
  • Nelo Onyiah
  • Klaudia Walter
  • Sam Robson
  • Yujun Zhang
  • Jan Aerts

References:
A robust statistical method for case-control association testing with copy number variation.
Barnes C, Plagnol V, Fitzgerald T, Redon R, Marchini J, Clayton D, Hurles ME
Nat Genet. 2008;40;1245-52. PMID: 18776912 DOI: 10.1038/ng.206
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;. PMID: 18775914 DOI: 10.1101/gr.082016.108
Adaptive evolution of UGT2B17 copy-number variation.
Xue Y, Sun D, Daly A, Yang F, Zhou X, Zhao M, Huang N, Zerjal T, Lee C, Carter NP, Hurles ME, Tyler-Smith C
Am J Hum Genet. 2008;83;337-46. PMID: 18760392 DOI: 10.1016/j.ajhg.2008.08.004
Breaking the waves: improved detection of copy number variation from microarray-based comparative genomic hybridization.
Marioni JC, Thorne NP, Valsesia A, Fitzgerald T, Redon R, Fiegler H, Andrews TD, Stranger BE, Lynch AG, Dermitzakis ET, Carter NP, Tavaré S, Hurles ME
Genome Biol. 2007;8;R228. PMID: 17961237 DOI: 10.1186/gb-2007-8-10-r228
Diet and the evolution of human amylase gene copy number variation.
Perry GH, Dominy NJ, Claw KG, Lee AS, Fiegler H, Redon R, Werner J, Villanea FA, Mountain JL, Misra R, Carter NP, Lee C, Stone AC
Nat Genet. 2007;39;1256-60. PMID: 17828263 DOI: 10.1038/ng2123
Relative impact of nucleotide and copy number variation on gene expression phenotypes.
Stranger BE, Forrest MS, Dunning M, Ingle CE, Beazley C, Thorne N, Redon R, Bird CP, de Grassi A, Lee C, Tyler-Smith C, Carter N, Scherer SW, Tavaré S, Deloukas P, Hurles ME, Dermitzakis ET
Science. 2007;315;848-53. PMID: 17289997 DOI: 10.1126/science.1136678
Global variation in copy number in the human genome.
Redon R, Ishikawa S, Fitch KR, Feuk L, Perry GH, Andrews TD, Fiegler H, Shapero MH, Carson AR, Chen W, Cho EK, Dallaire S, Freeman JL, González JR, Gratacòs M, Huang J, Kalaitzopoulos D, Komura D, Macdonald JR, Marshall CR, Mei R, Montgomery L, Nishimura K, Okamura K, Shen F, Somerville MJ, Tchinda J, Valsesia A, Woodwark C, Yang F, Zhang J, Zerjal T, Zhang J, Armengol L, Conrad DF, Estivill X, Tyler-Smith C, Carter NP, Aburatani H, Lee C, Jones KW, Scherer SW, Hurles ME
Nature. 2006;444;444-454. PMID: 17122850
DOI: 10.1038/nature05329
Accurate and reliable high-throughput detection of copy number variation in the human genome.
Fiegler H, Redon R, Andrews D, Scott C, Andrews R, Carder C, Clark R, Dovey O, Ellis P, Feuk L, French L, Hunt P, Kalaitzopoulos D, Larkin J, Montgomery L, Perry GH, Plumb BW, Porter K, Rigby RE, Rigler D, Valsesia A, Langford C, Humphray SJ, Scherer SW, Lee C, Hurles ME, Carter NP
Genome Res. 2006;16;1566-74. PMID: 17122085 DOI: 10.1101/gr.5630906
Genome-wide detection of human copy number variations using high-density DNA oligonucleotide arrays.
Komura D, Shen F, Ishikawa S, Fitch KR, Chen W, Zhang J, Liu G, Ihara S, Nakamura H, Hurles ME, Lee C, Scherer SW, Jones KW, Shapero MH, Huang J, Aburatani H
Genome Res. 2006;16;1575-84. PMID: 17122084 DOI: 10.1101/gr.5629106
Genome assembly comparison identifies structural variants in the human genome.
Khaja R, Zhang J, Macdonald JR, He Y, Joseph-George AM, Wei J, Rafiq MA, Qian C, Shago M, Pantano L, Aburatani H, Jones K, Redon R, Hurles M, Armengol L, Estivill X, Mural RJ, Lee C, Scherer SW, Feuk L
Nat Genet. 2006;38;1413-8. PMID: 17115057 DOI: 10.1038/ng1921
A high-resolution survey of deletion polymorphism in the human genome.
Conrad DF, Andrews TD, Carter NP, Hurles ME, Pritchard JK
Nat Genet. 2006;38;75-81. PMID: 16327808
How homologous recombination generates a mutable genome.
Hurles M
Hum Genomics. 2005;2;179-86. PMID: 16197735
Origins of chromosomal rearrangement hotspots in the human genome: evidence from the AZFa deletion hotspots.
Hurles ME, Willey D, Matthews L, Hussain SS
Genome Biol. 2004;5;R55. PMID: 15287977
Detection of large-scale variation in the human genome.
Iafrate AJ, Feuk L, Rivera MN, Listewnik ML, Donahoe PK, Qi Y, Scherer SW, Lee C
Nat Genet. 2004;36;949-51. PMID: 15286789 DOI: 10.1038/ng1416
Microarray based comparative genomic hybridisation (array-CGH) detects submicroscopic chromosomal deletions and duplications in patients with learning disability/mental retardation and dysmorphic features.
Shaw-Smith C, Redon R, Rickman L, Rio M, Willatt L, Fiegler H, Firth H, Sanlaville D, Winter R, Colleaux L, Bobrow M, Carter NP
J Med Genet. 2004;41;241-8. PMID: 15060094
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