Category Archives: Best practices in genetic analysis

Gabe Rudy

The New Human Genome Reference and Clinical Grade Annotations: It’s All About the Coordinates

On my flight back from this year’s Molecular Tri-Conference in San Francisco, I couldn’t help but ruminate over the intriguing talks, engaging round table discussions, and fabulous dinners with fellow speakers. And I kept returning to the topic of how … Continue reading

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Chelsey Clayton

Public Data? What’s that good for anyway?

Dr. Bryce Christensen recently gave a webcast on Maximizing Public Data Sources for Sequencing and GWAS Studies in which he covered options for getting GWAS and sequence information online, tips for working with these datasets and what you’ll see in … Continue reading

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Guest Post: Finding Rare Pieces of Hay in a Haystack

Utilizing Identical Twins Discordant for Schizophrenia to Uncover de novo Mutations We are living in exciting times – the reality of high-resolution microarrays and individual genome sequencing now offers renewed hope in the search for the causes of complex diseases. … Continue reading

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Greta Linse Peterson

More Mixed Model Methods!

Thanks to everyone for the great webcast yesterday. We had over 850 people register for the event and actually broke the record! Take that Bryce and Gabe! If you would like to see the recording, view it at: Mixed Models: … Continue reading

Posted in Best practices in genetic analysis, Technology review | 4 Comments
Jessica Vionas

Upcoming webcast – Mixed Models: How to Effectively Account for Inbreeding and Population Structure in GWAS

Presenter: Greta Linse Peterson, Senior Statistician Date: Wednesday, June 5th, 2013 Time: 12:00 pm EDT, 60 minutes Abstract Population structure and inbreeding can confound results from a standard genome-wide association test. Accounting for the random effect of relatedness can lead … Continue reading

Posted in Best practices in genetic analysis, News, events, & announcements | 1 Comment
Bryce Christensen

Population Structure + Genetic Background + Environment = Mixed Model

A few months ago, our CEO, Christophe Lambert, directed me toward an interesting commentary published in Nature Reviews Genetics by authors Bjarni J. Vilhjalmsson and Magnus Nordborg.  Population structure is frequently cited as a major source of confounding in GWAS, … Continue reading

Posted in Best practices in genetic analysis, General statistical genetics principles, Plant & animal | 3 Comments
Greta Linse Peterson

Follow Along on an Analyst’s Journey to Filter Whole Genome Data to Four Candidate Variants in SVS

Last week Khanh-Nhat Tran-Viet, Manager/Research Analyst II at Duke University, presented the webcast: Insights: Identification of Candidate Variants using Exome Data in Ophthalmic Genetics. (That link has the recording if you are interested in viewing.) In it, Khanh-Nhat highlighted tools … Continue reading

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Gabe Rudy

GATK is a Research Tool. Clinics Beware.

In preparation for a webcast I’ll be giving on Wednesday on my own exome, I’ve been spending more time with variant callers and the myriad of false-positives one has to wade through to get to interesting, or potentially significant, variants. … Continue reading

Posted in Best practices in genetic analysis, Clinical genetics, Personal genomics | 17 Comments
Gabe Rudy

A Conversation with 1000 Genomes Analysis Group Member: Jeffrey Rosenfeld

After my latest blog post, Jeffrey Rosenfeld reached out to me. Jeff is a member of the Analysis Group of the 1000 Genomes Project and shared some fascinating insights that I got permission to share here: Hi Gabe, I saw … Continue reading

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Jessica Vionas

Dr. Ken Kaufman’s Webcast on Exome Sequencing Wildly Successful

Thank you to everyone who joined us yesterday for a webcast by Dr. Ken Kaufman of Cincinnati Children’s Hospital: “Identification of Candidate Functional Polymorphism Using Trio Family Whole Exome DNA Data.” Over 750 people registered for this event and 430 … Continue reading

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