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Discovery Genomics - Duke Clinical Research Institute

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DaviD GolDstein<br />

Director, center for Human<br />

Genome variation<br />

Director, <strong>Discovery</strong> <strong>Genomics</strong><br />

at tHe <strong>Duke</strong> clinical<br />

researcH institute<br />

tHe ricHarD anD Pat JoHnson<br />

DistinGuisHeD university<br />

Professor<br />

Dr. David Goldstein is professor of<br />

molecular genetics & microbiology and<br />

director of the Center for Human Genome<br />

Variation at <strong>Duke</strong> University. He received<br />

his PhD in biological sciences from<br />

Stanford University in 1994, and from<br />

1999–2005 was Wolfson Professor of<br />

Genetics at University College London.<br />

Dr. Goldstein is the author of more than<br />

150 scholarly publications in the areas of<br />

population and medical genetics. His work<br />

focuses on the genetics of human disease<br />

and treatment response, with a concentration<br />

on neuropsychiatric disease and host<br />

determinants of response to infectious<br />

diseases. He is the recipient of one of<br />

the first seven nationally awarded Royal<br />

Society/Wolfson research merit awards<br />

in the UK, and was awarded the Triangle<br />

Business Journal Health Care Heroes Award<br />

in 2008 for his work on host determinants<br />

of control of HIV-1. Most recently, he<br />

was appointed the co-chair and chair of<br />

the Gordon <strong>Research</strong> Conference meeting<br />

on human genetics and genomics for 2011<br />

and 2013.<br />

cHGv siGnificant accomPlisHments<br />

----------------------------------------------------------------------------<br />

• Identification of genetic variants that predict drug-induced clearance of hepatitis C<br />

• Identification of genetic variants that are predictive of drug-induced anemia in patients<br />

treated for hepatitis C<br />

• Identification of a Mendelian disease gene by whole-genome sequencing of one individual<br />

• Identification of genetic risks factors in epilepsy and schizophrenia<br />

• Identification of genetic variants of viral control of HIV-1<br />

For more information<br />

Suzanne Pfeifer<br />

Director, Business Development<br />

<strong>Duke</strong> <strong>Clinical</strong> <strong>Research</strong> <strong>Institute</strong><br />

919.668.8196<br />

suzanne.pfeifer@duke.edu<br />

http://dcri.org/our-services/discovery-genomics/<br />

Darcy McMullin, PhD<br />

Project Planner<br />

Center for Human Genome Variation<br />

919.684.7573<br />

darcy.mcmullin@duke.edu<br />

http://humangenome.duke.edu<br />

DCRI Communications<br />

August 2010<br />

<strong>Discovery</strong> <strong>Genomics</strong><br />

Identifying relevant and biologically informative genetic variation<br />

related to therapeutic response


tHe imPortance of<br />

PHarmaco<strong>Genomics</strong><br />

in clinical trials<br />

--------------------------------------------------<br />

In today’s competitive environment, optimizing<br />

the drug development process in terms of cost,<br />

safety, and efficacy is perhaps more important<br />

than ever before. Pharmacogenomic studies<br />

increasingly are being integrated into clinical<br />

trials for this purpose as technologies and<br />

analysis techniques have rapidly advanced. By<br />

understanding how genetic variation impacts<br />

variability in drug response, pharmacogenomic<br />

studies can be used to make more informed<br />

decisions about how best to proceed with the<br />

development of a drug.<br />

Responders<br />

Non-responders<br />

Toxic responders<br />

All patients receiving<br />

same treatment<br />

An especially powerful use of pharmacogenomic<br />

studies is to identify subpopulations having<br />

unexpected adverse events or subpopulations<br />

of poor responders negatively affecting overall<br />

efficacy data. These subpopulation data can<br />

then be used as the basis for a companion<br />

diagnostic to screen patients, optimize dosing,<br />

and enhance the safety and efficacy profile<br />

of the drug. In some cases, this review may<br />

help salvage compounds that would not<br />

otherwise be viable. In other cases, it may<br />

help strategically differentiate the drug and<br />

position it for greater market penetration and<br />

premium pricing.<br />

Treat with conventional<br />

drug or dose<br />

Treat with alternative<br />

drug or dose<br />

tHe <strong>Discovery</strong> <strong>Genomics</strong> offerinG<br />

--------------------------------------------------<br />

The <strong>Duke</strong> <strong>Clinical</strong> <strong>Research</strong> <strong>Institute</strong> (DRCI)<br />

offers a comprehensive, integrated solution for<br />

incorporating pharmacogenomic studies into<br />

clinical trials, providing sponsors with an<br />

“insurance option” to quickly investigate<br />

genetic association with adverse events or<br />

efficacy after clinical trial completion.<br />

The DCRI provides:<br />

• Assistance with informed consent to ensure<br />

that collected samples can be properly<br />

analyzed after study completion<br />

• A dedicated, 40,000-square-foot purpose-<br />

built facility providing cost-effective,<br />

high-quality sample storage if storage<br />

is required<br />

• A single point of contact for kit development,<br />

supply and re-supply, and sample collection to<br />

streamline workflow<br />

• Scientific expertise and cutting-edge<br />

infrastructure for pharmacogenomic<br />

testing analysis through the DCRI’s<br />

David Goldstein, PhD, and the Center for<br />

Human Genome Variation (CHGV) within<br />

the <strong>Duke</strong> University School of Medicine<br />

• <strong>Clinical</strong> expertise and guidance on<br />

how to implement findings<br />

WHat you Will receive<br />

--------------------------------------------------<br />

• A detailed description of the methodology<br />

used in the genetic and statistical analysis<br />

• A detailed description of the results<br />

generated from the genetic analysis<br />

• Guidance on how to apply the findings in<br />

the clinical setting and in future<br />

development studies<br />

• Recommendations for possible follow-up<br />

genotyping work or functional<br />

follow-up studies<br />

• A final study manuscript suitable for<br />

submission for publication<br />

• A timely turnaround, specified in advance<br />

and based on project-specific activities<br />

Genetic testinG caPabilities<br />

anD exPertise<br />

-----------------------------------------------<br />

Pharmacogenomic testing and analysis is<br />

performed by the Center for Human Genome<br />

Variation (CHGV). The CHGV is capable<br />

of fully supporting a wide range of genetic<br />

studies in all phases of clinical research. While<br />

each project is customized, the CHGV typically<br />

follows a two-stage approach, starting with<br />

a genome-wide association (GWA) study to<br />

examine common genetic variation and<br />

proceeding, if needed, with whole-genome<br />

or whole-exome sequencing to identify<br />

rare variants.<br />

Our expectation is that for studies of efficacy<br />

involving large numbers of patients, analyses<br />

would normally begin with GWA studies,<br />

moving on to whole-exome or whole-genome<br />

sequencing as needed. Studies of rare adverse<br />

drug reactions normally involve whole-exome<br />

or whole-genome sequencing.<br />

cost-effective sequencinG<br />

noW a reality<br />

-----------------------------------------------<br />

The CHGV provides particular expertise<br />

in sequencing to investigate rare drug<br />

events occurring in less than 5% of patients.<br />

The CHGV can perform whole-genome or<br />

whole-exome sequencing studies in a timely,<br />

cost-effective manner using a small number<br />

(20–50) of patient samples, in<br />

part because it has compiled<br />

a large and growing reference<br />

database that already contains<br />

over 200 control genomes that<br />

have been sequenced at high<br />

coverage. The availability of<br />

these control genomes means<br />

that for rare adverse reactions,<br />

it is possible to sequence only<br />

those individuals with the<br />

adverse reactions and to use<br />

existing control data for<br />

comparison, saving on costs.<br />

analytic exPertise Drives<br />

novel <strong>Discovery</strong><br />

-----------------------------------------------<br />

The CHGV excels at analyzing large amounts<br />

of genetic data. Many software applications<br />

developed by CHGV bioinformaticians are<br />

now used by leading research labs to help<br />

transform genetic data into a usable format<br />

and enable efficient discovery activities. This<br />

expertise in analytics has already resulted<br />

in a remarkable stream of novel, useable<br />

discoveries, including the identification of a<br />

variant in the IL28B gene that is associated<br />

with response to peginterferon-a combined<br />

with ribavirin for treatment of hepatitis C.<br />

Many software<br />

applications developed<br />

by CHGV bioinformaticians<br />

are now used by<br />

leading research labs to<br />

help transform genetic<br />

data into a usable format<br />

and enable efficient<br />

discovery activities. This<br />

screenshot shows the<br />

discovery of SNPs having<br />

genome-wide significance<br />

with response to hepatitis<br />

C treatment (adapted<br />

from Ge et al. (2009)<br />

Nature 461doi:10.1038/<br />

nature08309)

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