Copy-number variation and association studies of human disease

2007 ◽  
Vol 39 (S7) ◽  
pp. S37-S42 ◽  
Author(s):  
Steven A McCarroll ◽  
David M Altshuler

2010 ◽  
Vol 77 (3) ◽  
pp. 201-213 ◽  
Author(s):  
M Fanciulli ◽  
E Petretto ◽  
TJ Aitman




2008 ◽  
Vol 31 (4) ◽  
pp. 15
Author(s):  
M Lanktree ◽  
R A Hegele

Metabolic syndrome (MetS) is defined by the presence of abdominal obesity, hypertension, dysglycemia, and dyslipidemia. Many mutations have been discovered that cause rare monogenic components of metabolic syndrome, and association studies have linked common variants with increased risk of MetS and its components. Despite successes in identifying genetic contributors to metabolic syndrome, unexplained heritability exists and copy number variation (CNV) could be responsible for a portion of this variation. As observed with single nucleotide changes, it is likely that both rare and common CNVs will contribute to MetS disease susceptibility. Recent efforts to map CNVs in control populations have given insight into their size, frequency and distribution. However, despite being observed in controls, the reported CNVs could still modulate susceptibility for late-onset complex traitsor produce subtle metabolic phenotypes. Here we examine the overlap between CNVs found in control datasets and genes with functional hypotheses or evidence of previous association to MetS. Secondly, we present the results and methodology of a search for a rare CNV in a high-penetrance Mendelian disorder, namely familial partial lipodystrophy. As methods to identify CNVs increase in precision and accuracy, the prospect of identifying their role in both rare Mendelian and common complex diseases is exciting.





2008 ◽  
Vol 17 (8) ◽  
pp. 1127-1136 ◽  
Author(s):  
Arthur S. Lee ◽  
María Gutiérrez-Arcelus ◽  
George H. Perry ◽  
Eric J. Vallender ◽  
Welkin E. Johnson ◽  
...  


2012 ◽  
Vol 36 (3) ◽  
pp. 253-262 ◽  
Author(s):  
Xiaojing Zheng ◽  
John R. Shaffer ◽  
Caitlin P. McHugh ◽  
Cathy C. Laurie ◽  
Bjarke Feenstra ◽  
...  


2014 ◽  
Author(s):  
Guoqiang Yi ◽  
Lujiang Qu ◽  
Jianfeng Liu ◽  
Yiyuan Yan ◽  
Guiyun Xu ◽  
...  

Copy number variation (CNV) is important and widespread in the genome, and is a major cause of disease and phenotypic diversity. Herein, we perform genome-wide CNV analysis in 12 diversified chicken genomes based on whole genome sequencing. A total of 9,025 CNV regions (CNVRs) covering 100.1 Mb and representing 9.6% of the chicken genome are identified, ranging in size from 1.1 to 268.8 kb with an average of 11.1 kb. Sequencing-based predictions are confirmed at high validation rate by two independent approaches, including array comparative genomic hybridization (aCGH) and quantitative PCR (qPCR). The Pearson?s correlation values between sequencing and aCGH results range from 0.395 to 0.740, and qPCR experiments reveal a positive validation rate of 91.71% and a false negative rate of 22.43%. In total, 2,188 predicted CNVRs (24.2%) span 2,182 RefSeq genes (36.8%) associated with specific biological functions. Besides two previously accepted copy number variable genesEDN3andPRLR, we also find some promising genes with potential in phenotypic variants.FZD6andLIMS1, two genes related to diseases susceptibility and resistance are covered by CNVRs. Highly duplicatedSOCS2may lead to higher bone mineral density. Entire or partial duplication of some genes likePOPDC3andLBFABPmay have great economic importance in poultry breeding. Our results based on extensive genetic diversity provide the first individualized chicken CNV map and genome-wide gene copy number estimates and warrant future CNV association studies for important traits of chickens.



PLoS ONE ◽  
2012 ◽  
Vol 7 (4) ◽  
pp. e34262 ◽  
Author(s):  
Patrick Breheny ◽  
Prabhakar Chalise ◽  
Anthony Batzler ◽  
Liewei Wang ◽  
Brooke L. Fridley


2015 ◽  
Vol 14 (5) ◽  
pp. 329-338 ◽  
Author(s):  
Christina L. Usher ◽  
Steven A. McCarroll


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