OVARIAN CANCER and US: genetic variances

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Showing posts with label genetic variances. Show all posts
Showing posts with label genetic variances. Show all posts

Friday, May 06, 2011

abstract: Common alleles in candidate susceptibility genes associated with risk and development of epithelial ovarian cancer - Intl Jnl Cancer



Abstract

Common germline genetic variation in the population is associated with susceptibility to epithelial ovarian cancer.........We genotyped rs13063604 and rs7650365 in an additional 4,590 cases and 6,031 controls from ten sites from the United States, Europe and Australia; however, neither SNP was significant in Stage 2. We also evaluated the potential role of tSNPs in these nine genes in ovarian cancer development by testing for allele-specific loss of heterozygosity (LOH) in 286 primary ovarian tumours. We found frequent LOH for tSNPs in AXIN2, AKTIP and RGC32 (64, 46 and 34%, respectively) and one SNP, rs1637001, in STAG3 showed significant allele-specific LOH with loss of the common allele in 94% of informative tumours (p = 0.015). Array comparative genomic hybridisation indicated that this nonrandom allelic imbalance was due to amplification of the rare allele. In conclusion, we show evidence for the involvement of a common allele of STAG3 in the development of epithelial ovarian cancer.

Sunday, December 19, 2010

Genetic Variation at 9p22.2 and Ovarian Cancer Risk for BRCA1 and BRCA2 Mutation Carriers — J. Natl. Cancer Inst.



Conclusion: Common genetic variation at the 9p22.2 locus was associated with decreased risk of ovarian cancer for carriers of a BRCA1 or BRCA2 mutation.

Monday, September 13, 2010

A Third-Generation Map of Human Genetic Variation



An international consortium has published the largest survey of human genetic variation thus far: a third-generation map that includes data from 11 global populations. The accomplishment will help in the ongoing search for genetic variants associated with complex diseases.
Illustration of DNA.
Any 2 people are more than 99% the same at the genetic level. The small variations between people can help explain differences in susceptibility to disease, response to drugs or reaction to environmental factors.
Stretches of DNA sequence tend to be inherited together. Thus, sets of small genetic variations called single nucleotide polymorphisms (SNPs) tend to be grouped. These clusters are called haplotypes. The map of human genetic variation is called a haplotype map, or HapMap.
Previous versions of the HapMap were built on the analysis of DNA collected from 270 volunteers from 4 geographically diverse populations. The first version contained approximately 1 million SNPs. The second-generation map brought that total to more than 3.1 million SNPs.
Over the last few years, researchers conducting genome-wide association studies have relied on data from the HapMap to discover hundreds of common genetic variants associated with complex human diseases, such as cardiovascular disease, diabetes, cancer and many other health conditions. Funding to create the third-generation HapMap was provided by NIH’s National Human Genome Research Institute (NHGRI), National Institute on Deafness and Other Communication Disorders (NIDCD) and the Wellcome Trust.
For the latest version, researchers analyzed about 1.6 million SNPs in a much broader range of samples from around the world. As reported in the September 2, 2010, issue of Nature, the HapMap now includes data from an additional 7 global populations, bringing the total number of volunteers to almost 1,200.
The consortium also carefully sequenced 10 regions totaling about 1 million base pairs in 692 samples. The scientists found that 77% of the SNPs they detected were new. This result shows that many more variants remain to be found, especially rare variants. In addition, the scientists added more than 800 copy-number variants to the resource. These reflect differences in the number of copies of specific DNA regions people harbor.
"The generated HapMap provides an important foundation for studies aiming to find genetic variation related to human diseases," says NHGRI Director Dr. Eric D. Green. "It is now routinely used by researchers as a valuable reference tool in our quest to use genomics for improving human health."
Many of the HapMap researchers are also part of the 1000 Genomes Project, an international public-private consortium launched in 2008 to build an even more detailed map of human genetic variation. The scientists are using next-generation DNA sequencing technologies to build a public database with information from the complete genomes of 2,500 people from 27 populations around the world, many of which were studied in the HapMap project. Researchers will be able to use this data to expand their studies of how common and rarer genetic variations contribute to illness.
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