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Genome-wide analysis of the role of copy-number variation in pancreatic cancer risk

Overview of attention for article published in Frontiers in Genetics, January 2014
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Title
Genome-wide analysis of the role of copy-number variation in pancreatic cancer risk
Published in
Frontiers in Genetics, January 2014
DOI 10.3389/fgene.2014.00029
Pubmed ID
Authors

Jason A. Willis, Semanti Mukherjee, Irene Orlow, Agnes Viale, Kenneth Offit, Robert C. Kurtz, Sara H. Olson, Robert J. Klein

Abstract

Although family history is a risk factor for pancreatic adenocarcinoma, much of the genetic etiology of this disease remains unknown. While genome-wide association studies have identified some common single nucleotide polymorphisms (SNPs) associated with pancreatic cancer risk, these SNPs do not explain all the heritability of this disease. We hypothesized that copy number variation (CNVs) in the genome may play a role in genetic predisposition to pancreatic adenocarcinoma. Here, we report a genome-wide analysis of CNVs in a small hospital-based, European ancestry cohort of pancreatic cancer cases and controls. Germline CNV discovery was performed using the Illumina Human CNV370 platform in 223 pancreatic cancer cases (both sporadic and familial) and 169 controls. Following stringent quality control, we asked if global CNV burden was a risk factor for pancreatic cancer. Finally, we performed in silico CNV genotyping and association testing to discover novel CNV risk loci. When we examined the global CNV burden, we found no strong evidence that CNV burden plays a role in pancreatic cancer risk either overall or specifically in individuals with a family history of the disease. Similarly, we saw no significant evidence that any particular CNV is associated with pancreatic cancer risk. Taken together, these data suggest that CNVs do not contribute substantially to the genetic etiology of pancreatic cancer, though the results are tempered by small sample size and large experimental variability inherent in array-based CNV studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 35%
Student > Master 5 14%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Other 3 8%
Other 6 16%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 38%
Biochemistry, Genetics and Molecular Biology 9 24%
Medicine and Dentistry 5 14%
Mathematics 1 3%
Chemical Engineering 1 3%
Other 2 5%
Unknown 5 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 February 2014.
All research outputs
#20,219,902
of 22,743,667 outputs
Outputs from Frontiers in Genetics
#8,551
of 11,758 outputs
Outputs of similar age
#264,758
of 305,223 outputs
Outputs of similar age from Frontiers in Genetics
#47
of 54 outputs
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