Posts Tagged ‘SNP Analysis’

The MIQE iPhone App

 :: Posted by American Biotechnologist on 07-25-2011

We have written many posts about the MIQE real time PCR standards that are basic requirements for anyone engaged in real time PCR experimets. Now there is a new tool for all ipod/iphone users to add to their arsenal. A MIQE qPCR app!

The MIQE app helps scientitst review scientific work and check their own project’s MIQE compliance. Plus, the app includes a list of the most current qPCR news and events and “emergency” contact numbers that you can call/email should you have any questions about your qPCR experiments.

The application was developed by Dr. Afif Abdel Nour, Associate Professor in Nutrigenomics at LaSalle Beauvais, in collaboration with Dr. Michael Pfaffl and was sponsored by Bio-Rad Laboratories .

The Real-Time PCR iPhone App

 :: Posted by American Biotechnologist on 07-25-2011

An easy-to-use qPCR resource, Bio-Rad’s Real-Time PCR iPhone application includes the Real-Time PCR Applications Guide for researchers who want to learn more about designing, analyzing, and optimizing real-time PCR experiments. Another feature is the qPCR Doctor, an interactive troubleshooting tool for resolving problems relating to real-time PCR assays. The Real-Time PCR iPhone Application also includes a qPCR Assay Design section which provides guidance for designing a qPCR assay, information on validating and optimizing your qPCR assay, and different methods for analyzing qPCR data. This application puts three of Bio-Rad’s best real-time PCR resources at your fingertips.


Results are in from the Collaborative Cross Project

 :: Posted by American Biotechnologist on 07-14-2011

A couple of months ago we told you about the collaborative cross project which strives to increase the SNP count among the lab mouse population by interbreeding five classic inbred mouse strains and three wild-derived strains (see Adding Lab Mice to Your Spice Cupboard).

This week, th collaborative cross project has announced that three articles have been published online in-advance in Genome Research utilizing strains from the emerging Collaborative Cross mouse strains.

The three studies are as follows:

1. Collaborative Cross strains facilitate mapping of causative loci

In this work, Aylor and colleagues performed an experiment called the “the pre-CC study,” the first genetic data and analysis from the emerging strains of the CC. Their investigation revealed that the genomes of CC strains are genetically diverse and contain balanced contributions from each founding strain. Highlighting the statistical power provided by the CC, Aylor et al. utilized ancestry information of the CC strains to map genetic loci for a Mendelian trait (white head-spotting), a complex trait (body weight), and a molecular trait (gene expression in the liver), demonstrating the ancestry-based approach to be superior to established marker-based methods for trait loci discovery.

Reference: Aylor DL et al. Genetic analysis of complex traits in the emerging collaborative cross. Genome Res. doi: 10.1101/gr.111310.110

2. Breeding effects in the Collaborative Cross

The development of the Collaborative Cross presents a unique opportunity to investigate how the breeding of inbred strains affects genetic structure and the diversity of phenotypes. In this paper, Philip et al. have evaluated the range of many traits in late inbreeding populations of the CC, including such phenotypes as body weight, tail length, heart weight, and behavioral traits. Despite the influence of breeding selection in the CC lines, detection of major genetic loci regulating trait variation remained possible. This analysis revealed the scope of phenotypic variation that will be present in the finished strains of the CC.

Reference: Philip VM et al. Genetic analysis in the Collaborative Cross breeding population. Genome Res. doi: 10.1101/gr.113886.110

3. Mapping host susceptibility to fungal infection

Aspergillosis is a serious disease in humans, particularly in immune-compromised individuals, caused by infection with the fungus Aspergillus. The mouse has been an important model for studying Aspergillus infection, but classical laboratory strains of mice used in these studies arose from a small set of founders and lack most of the genetic variation present in wild mice, limiting researchers’ ability to identify additional genetic loci relevant to disease.

In this study, Durrant and colleagues utilized inbred mouse strains from the Collaborative Cross, taking advantage of the genetic contribution of wild-derived strains, to identify novel loci that confer susceptibility to infection with the fungus Aspergillus. By integrating genetic variation data from the genomes of the founding strains of the CC, Durrant et al. further refined the genetic loci associated with Aspergillus susceptibility to suggest specific candidate genes.

Reference: Durrant C et al. Collaborative Cross mice and their power to map host susceptibility to Aspergillus fumigatus infection. Genome Res. doi: 10.1101/gr.118786.110

source: EurekAlert! press release

Adding Lab Mice to Your Spice Cupboard

 :: Posted by American Biotechnologist on 05-31-2011

If variety is the spice of life, then genetic variability among species is king of the spice rack. While there are tens of thousands of protein-coding genes in the human genome, (estimates range from 23,000 to 30,000), there are tens of millions of single nucleotide polymorphisms (SNP) that exponentially influence the diversity of our gene pool. Initiatives such as the International Hap Map Project provide valuable data on common patterns of human genetic variation and are an important resources for scientists studying mechanisms of human health and disease.

On the other hand, there is a plethora of scientific information on health and disease obtained through studies involving the common laboratory mouse. Considering the importance of genetic variety among humans, it is therefore suprising to learn that the majority of mouse strains used in the laboratory have very little genetic variablity from strain to strain. In a recent paper published in Nature Genetics, the authors estimate that standard laboratory mouse strains carry about 12 million SNPs, which is a fraction of the SNP variation likely to be found among wild-caught mice.

In an effort to compare the genomic data among the various lab strains of mice, the team created the Mouse Phylogeny Viewer which allows researchers to compare the differences and similarities between strains and select the ones most likely to provide the basis for experimental results that can be more effectively extrapolated to the diverse human population.

The authors also suggest that increasing genetic diversity among the lab mouse population would greatly aide in the translatability of data obtained in mice to humans. As such, the authors launched the Collaborative Cross project which has interbred five classic inbred mouse strains and three wild-derived strains and has increased the SNP count from 12 million to 45 million among the lab mouse population.

Reference: Yang et al.: Subspecific origin and haplotype diversity in the laboratory mouse. Nature Genetics, advance online publication Sunday, May 29, 2011.

Sources: Jackson Laboratory

Discovering Your Genome with the Click of a Mouse

 :: Posted by American Biotechnologist on 01-11-2011

The world of personal genomics is becoming more accessible to the masses and the amount of information available to the general public is truly stunning. Today 5AM Solutions, a life science software engineering firm, announced the release of SNPTips, a Firefox browser plug-in that connects a user’s 23andMe personal genetic information to web content with a single mouse click.

Personal genetic testing services such as 23andMe provide genetic testing for individuals outside of a physician’s office. These services typically probe a person’s genome for thousands of single nucleotide polymorphisms (SNPs) that represent potentially important or interesting genomics differences between one person and another. 23andMe provides tools and reports for interpreting this information. For a user interested in connecting his or her genetic information with the treasury of literature and information on the World Wide Web, there’s no clear way to make the link. Which is why 5AM created SNPTips.

“SNPTips links your 23andMe raw data to SNP IDs that are mentioned in across a sea of web content. With the click of a mouse, you can view your personal genotype at any SNP mentioned the web – such as a genetics blog or journal article. SNPTips also includes smart links to other web resources, like SNPedia, Google Scholar, and NHGRI’s dbSNP – so you can delve deeper with a single click,” said Will FitzHugh, 5AM’s Chief Science Officer. “We started with 23andMe because it’s the market leader in personal genetics. We anticipate expanding SNPTips in the future to support other personal genetics services and browsers.”

“Our company works to make the web the place for life science collaboration,” said 5AM’s President & CEO, Brent Gendleman. “SNPTips brings that ability directly to consumers of personal genomic information. People can translate their genetic information into what they want to know, right through the browser. It can’t get more convenient than that.”

“The very existence of 23andMe allowed us to innovate and meet a need that leveraged what they do, extending it in a simple way through a common mechanism – the browser. SNPTips represents a way to extend their work, furthering people’s ability to tackle the complexity of genomics in a way that is straightforward and consumable by a wide audience,” said Gendleman.

SNPTips makes use of a person’s complete 23andMe SNP raw data profile, and requires that a user safeguard the use of that information by employing it only on a machine under his or her control. SNPTips does not move any personal information across the Internet.

SNPTips is available for free at and requires a Firefox 3.6+ browser.

About 5AM Solutions
5AM Solutions develops innovative software solutions for academic, government, commercial, and non-profit life sciences organizations. The company helps evolve the way biomedical researchers work and collaborate by using software to reveal new insights hidden in vast amounts of data, facilitate translational research, and solve workflow challenges. The company’s solutions can overcome IT-based roadblocks to discovery and accelerate progress toward the ultimate goal of better health and improved patient outcomes.

About SNPTips
For information on SNPTips, visit To install on a Firefix 3.6+ browser, simply click the Install Now button, and follow the directions on the website to configure. SNPTips is free, and is released under the Creative Commons Attribution-ShareAlike 3.0 Unported license.

About 23andMe
SNPTips is not affiliated with 23andMe. SNPTips is a product and a trademark of 5AM Solutions, Inc. 5AM Solutions makes no claims regarding, and is not responsible for, 23andMe’s content, products, or services. Visit for information on 23andMe.

source:PRWeb press release