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omation mbers - Society for Laboratory Automation and Screening

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12:00 pm Wednesday, February 4 Genomics – SNPs Room A1<br />

Tom Willis<br />

ParAllele BioScience, Inc.<br />

384 Oyster Point Boulevard Suite 8<br />

South San Francisco, Cali<strong>for</strong>nia 94080<br />

tom@p-gene.com<br />

101<br />

Co-Author(s)<br />

Malek Faham, Paul Hardenbol,<br />

Maneesh Jain, Eugeni Namsaraev,<br />

George Karlin-Neumann, Hosssein Fakhrai Rad,<br />

Mostafa Ronaghi, Ronald W. Davis<br />

Comprehensive Genetic Analysis Using Highly Multiplexed SNP Discovery <strong>and</strong> Genotyping<br />

The elucidation of complex genetic traits increasingly necessitates comprehensive genetic analysis.<br />

Comprehensive coverage of the human genome is required in order to unlock the potential of association studies.<br />

At the same time allelic heterogeneity will necessitate comprehensive discovery of alleles within genes in order to<br />

capture the contribution of collections of rare alleles to the phenotype (e.g., BRCA mutations <strong>for</strong> breast cancer).<br />

New technologies are needed to address these fundamental challenges to human genetics. ParAllele BioScience<br />

has developed a set of technologies that enable such comprehensive coverage by providing a flexible plat<strong>for</strong>m<br />

that enables tens of thous<strong>and</strong>s of interrogations to occur within a single tube reaction. The authors have used<br />

the concept of Molecular Inversion Probes (MIP) to build a SNP scoring technology that allows allele specific<br />

amplification of oligo probes through a process of self inversion. These molecular inversion probes can be<br />

multiplexed to the level of over 10,000 SNP calls per assay. Whole genome analysis is being enabled by this<br />

technology. In order to capture the important in<strong>for</strong>mation from rare alleles <strong>and</strong> private mutation, a high throughput<br />

variation scanning technology has also been developed. This technology exploits the exquisite sensitivity of<br />

bacterial DNA repair to produce a multiplexed assay that allows thous<strong>and</strong>s of DNA fragments to be sorted into<br />

those that contain mutations <strong>and</strong> those that do not. This technique, called Mismatch Repair Detection (MRD),<br />

allows comprehensive SNP discovery in patient populations. We have built a comprehensive genome analysis<br />

plat<strong>for</strong>m around these concepts by incorporating a molecular tagging strategy to allow robust detection of<br />

thous<strong>and</strong>s of allele specific amplicons using a robust, generic chip plat<strong>for</strong>m. We believe that this technology will<br />

bring comprehensive association studies within reach by greatly reducing the cost <strong>and</strong> sample requirements of<br />

SNP discovery <strong>and</strong> genotyping. Multiplexed genotyping <strong>and</strong> SNP discovery results are discussed <strong>and</strong> per<strong>for</strong>mance<br />

metrics presented.<br />

3:30 pm Wednesday, February 4 Genomics – In<strong>for</strong>matics Room A1<br />

Terrence Smallmon<br />

LabVantage Solutions<br />

2355 Menard Street<br />

St. Louis, Missouri 63104<br />

tsmallmon@labvantage.com<br />

The Benefits of a <strong>Laboratory</strong> In<strong>for</strong>mation Management System (LIMS) in Genomics<br />

A genomic LIMS must streamline the data flow beyond the four walls of the laboratory. By centralizing all<br />

in<strong>for</strong>mation about a sample, <strong>and</strong> relating it to other scientific in<strong>for</strong>mation, scientists can improve productivity as<br />

well as the quality of in<strong>for</strong>mation. The key benefits of a Genomics LIMS are:<br />

• Provides complete traceability of every sample.<br />

• Can acquire, integrate <strong>and</strong> manage multiple sources of dynamic <strong>and</strong> static data across the enterprise.<br />

• Reduces the amount of clerical work done by highly trained professionals – allows scientists to do more science.<br />

• Provides seamless integration with public/private databases.<br />

• Integrates with the solutions of your choice <strong>for</strong> scientific data interpretation <strong>and</strong> analysis.<br />

• Supports 21 CFR Part 11 Compliance.<br />

• Increases communication throughout the organization.<br />

• Reduces the number of times data is transcribed, increasing the integrity of the data.<br />

• Eliminates the need <strong>for</strong> human interaction with automatic features to generate routine reports.<br />

We now know as scientists exp<strong>and</strong> the world’s underst<strong>and</strong>ing of complex biological systems, the volume of<br />

analytical data will continue to rise. This talk will discuss how the Genomics LIMS allows the researcher to manage<br />

this data <strong>and</strong> optimize their discovery process.<br />

PODIUM ABSTRACTS

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