| Website | http://www.pharmacogenetics.vanderbilt.edu/ |
|---|---|
| Principal Investigator | Dan M. Roden, MD |
| Host Institution | Vanderbilt University |
| Grant Number | U01 HL65962 |
Abnormalities of cardiac rhythm are a major public health problem. Drugs suppress cardiac arrhythmias in some patients, yet exacerbate arrhythmias or even generate new ones - the phenomenon of proarrhythmia - in others. This variability is not confined to antiarrhythmic drugs alone: in fact, the risk of proarrhythmia related to excessive prolongation of the QT interval has been the single leading cause of drug withdrawal over the past decade. While rare monogenic arrhythmia syndromes have been recognized for decades, more recent work strongly supports the overall hypothesis tested here, that common DNA variants underlie not only variability in cardiac rhythm but also the response of normal and abnormal cardiac rhythms to drug exposure. Therefore, the major goals of studies in the Pharmacogenomics of Arrhythmia Therapy (PAT) Center are:
In the 2005-2010 cycle, polymorphism discovery was initially performed by screening exons and flanking introns in ethnically defined panels obtained from the Coriell resource: Caucasians, African-Americans, Han Chinese in the Los Angeles area, and Mexican-Americans in the Los Angeles area. Non-coding regions identified as conserved in cross-species comparisons and functionally important in DNA-reporter assays are also rescreened. Within the last 1-2 years, rescreening has turned to defined patient populations with defined arrhythmias (long QT and AF) and drug response phenotypes. Screening was and is accomplished by a combination of resequencing and temperature gradient capillary electrophoresis; the NHLBI resequencing program also supported generation of ~40 MB of data in ion channel genes in patients with AF and controls.
The priority in this center are genes encoding cardiac ion channels or their functional subunits expressed in heart, although we recognize that polymorphisms in other genes, such as those in the adrenergic and the renin-angiotensin-aldosterone signaling systems, are excellent candidate modulators of arrhythmia phenotypes and their response to drugs. When experimental platforms are available (ion channel coding regions; regulatory regions), functional studies with variant constructs are conducted. To date (2001-2008), PAT has deposited to PharmGKB deep rescreening data (380-1,236 alleles each) on ~34 ion channel and other candidate arrhythmia modulator genes.
The long QT dataset has been subject to a Golden Gate Assay with interrogation of 1536 tag SNPs from common haplotypes in 19 high priority candidate genes. In addition, we are using the power of model organism genetics (zebrafish) to identify entirely new genes and pathways involved in modulating variable responses to antiarrhythmic drugs.
A major effort is devoted to generation of clinical databases that include well-defined patient phenotypes, along with DNA samples. Each database contains common information, including patient history, family history, medication history, and arrhythmia history, along with database-specific phenotypes. All databases are accumulated de novo, i.e. from patients starting a drug or newly identified with an arrhythmia rather than those followed for these conditions; thus, patient recruitment has been underway since late 2001/early 2002. One important initiative of the program has been construction of web-based data entry systems, and an Oracle database to house the accumulating phenotypic and genotypic information. Databases currently being accumulated, and their recruitment to March 31, 2008, include:
Power calculations suggest that minimal databases for association studies between common polymorphisms and arrhythmia or drug response phenotypes will require several hundred subjects. Thus, our efforts to date have focused on polymorphism identification and on database building. As common polymorphisms are identified, genotyping assays are developed, currently on the Taqman or the Sequenom platforms. The center also includes a genetic epidemiology effort that focuses not only on the role of single polymorphisms in mediating the phenotypes of interest, but also on gene-gene interactions using techniques such as Multifactor Dimensionality Reduction (MDR) developed at Vanderbilt.
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