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Fridley, Brooke L.

https://orcid.org/0000-0001-7739-7956

Mayo Clinic

Moffitt Cancer Center

Citations 108

Candidate Gene Analysis Using Imputed Genotypes: Cell Cycle Single-Nucleotide Polymorphisms and Ovarian Cancer Risk
Goode, Ellen L. , Vierkant, Robert A. , Cunningham, Julie M. , Phelan, Catherine M., Anderson, S. Keith , Rider, David N., White, Kristin L., Pankratz, V. Shane , Song, Honglin , Høgdall, Estrid , Kjær, Susanne K. , Whittemore, Alice S. , DiCioccio, Richard A., Ramus, Susan J. , Gayther, Simon A. , Schildkraut, Joellen M. , Pharaoh, Paul, Sellers, Thomas A. , Fridley, Brooke L. , Kjaer, Susanne K , Ramus, Susan J , Vierkant, Robert A , Høgdall, Estrid

Cancer Epidemiology, Biomarkers & Prevention | March 9, 2009 | Volume: 18 | Issue: 3 | Pages: 935-944

10.1158/1055-9965.epi-08-0860 Get It

Abstract Polymorphisms in genes critical to cell cycle control are outstanding candidates for association with ovarian cancer risk; numerous genes have been interrogated by multiple research groups using differing tagging single-nucleotide polymorphism (SNP) sets. To maximize information gleaned from existing genotype data, we conducted a combined analysis of five independent studies of invasive epithelial ovarian cancer. Up to 2,120 cases and 3,382 controls were genotyped in the course of two collaborations at a variety of SNPs in 11 cell cycle genes (CDKN2C, CDKN1A, CCND3, CCND1, CCND2, CDKN1B, CDK2, CDK4, RB1, CDKN2D, and CCNE1) and one gene region (CDKN2A-CDKN2B). Because of the semi-overlapping nature of the 123 assayed tagging SNPs, we performed multiple imputation based on fastPHASE using data from White non-Hispanic study participants and participants in the international HapMap Consortium and National Institute of Environmental Health Sciences SNPs Program. Logistic regression assuming a log-additive model was done on combined and imputed data. We observed strengthened signals in imputation-based analyses at several SNPs, particularly CDKN2A-CDKN2B rs3731239; CCND1 rs602652, rs3212879, rs649392, and rs3212891; CDK2 rs2069391, rs2069414, and rs17528736; and CCNE1 rs3218036. These results exemplify the utility of imputation in candidate gene studies and lend evidence to a role of cell cycle genes in ovarian cancer etiology, suggest a reduced set of SNPs to target in additional cases and controls. (Cancer Epidemiol Biomarkers Prev 2009;18(3):935–44)
Methods for Analysis in Pharmacogenomics: Lessons from the Pharmacogenetics Research Network Analysis Group
Srinivasan, Balaji S., Conti, David V. , Gu, Xiangjun, Haines, Jonathan L., Jorgenson, Eric , Kraja, Aldi T., Lasky‐Su, Jessica , Li, Lang , Rodin, Andréi S. , Province, Mike, Ritchie, Marylyn D. , Province, Michael A. , Chen, Jinbo , Cheng, Cheng , Duan, Shiwei , Fridley, Brooke L. , Wang, Dai , Conti, David V , Lasky-Su, Jessica , Province, Mike

Pharmacogenomics | February 10, 2009 | Volume: 10 | Issue: 2 | Pages: 243-251

10.2217/14622416.10.2.243 Get It

Gemcitabine and Cytosine Arabinoside Cytotoxicity: Association with Lymphoblastoid Cell Expression
Li, Liang , Kalari, Krishna R. , Jenkins, Gregory D. , Batzler, Anthony , Safgren, Stephanie L. , Ames, Matthew M. , Schaid, Daniel J. , Wang, Liewei , Fridley, Brooke L. , Hildebrandt, Michelle A.T. , Kalari, Krishna R , Li, Liang , Safgren, Stephanie L

Cancer Research | August 29, 2008 | Volume: 68 | Issue: 17 | Pages: 7050-7058

10.1158/0008-5472.can-08-0405 Get It

Abstract Two cytidine analogues, gemcitabine (dFdC) and 1-β-d-arabinofuranosylcytosine (AraC), show significant therapeutic effect in a variety of cancers. However, response to these drugs varies widely. Evidence from tumor biopsy samples shows that expression levels for genes involved in the cytidine transport, metabolism, and bioactivation pathway contribute to this variation in response. In the present study, we set out to test the hypothesis that variation in gene expression both within and outside of this “pathway” might influence sensitivity to gemcitabine and AraC. Specifically, Affymetrix U133 Plus 2.0 GeneChip and cytotoxicity assays were performed to obtain basal mRNA expression and IC50 values for both drugs in 197 ethnically defined Human Variation Panel lymphoblastoid cell lines. Genes with a high degree of association with IC50 values were involved mainly in cell death, cancer, cell cycle, and nucleic acid metabolism pathways. We validated selected significant genes by performing real-time quantitative reverse transcription-PCR and selected two representative candidates, NT5C3 (within the pathway) and FKBP5 (outside of the pathway), for functional validation. Those studies showed that down-regulation of NT5C3 and FKBP5 altered tumor cell sensitivity to both drugs. Our results suggest that cell-based model system studies, when combined with complementary functional characterization, may help to identify biomarkers for response to chemotherapy with these cytidine analogues. [Cancer Res 2008;68(17):7050–8]
Genomic Association Analysis Suggests Chromosome 12 Locus Influencing Antihypertensive Response to Thiazide Diuretic
Bailey, Kent R. , Chapman, Arlene B. , Schwartz, Gary L. , Chai, High Seng, Sicotte, Hugues , Kocher, Jean‐Pierre , Rodin, Andréi S. , Boerwinkle, Eric , Turner, Stephen T. , Fridley, Brooke L. , Chapman, Arlene B.

Hypertension | July 1, 2008 | Volume: 52 | Issue: 2 | Pages: 359-365

10.1161/hypertensionaha.107.104273 Get It

We conducted a genome-wide association study to identify novel genes influencing diastolic blood pressure (BP) response to hydrochlorothiazide, a commonly prescribed thiazide diuretic preferred for the treatment of high BP. Affymetrix GeneChip Human Mapping 100K Arrays were used to measure single nucleotide polymorphisms across the 22 autosomes in 194 non-Hispanic black subjects and 195 non-Hispanic white subjects with essential hypertension selected from opposite tertiles of the race- and sex-specific distributions of age-adjusted diastolic BP response to hydrochlorothiazide (25 mg daily, PO, for 4 weeks). The black sample consisted of 97 “good” responders (diastolic BP response [mean±SD]=−18.3±4.2 mm Hg; age=47.1±6.1 years; 51.5% women) and 97 “poor” responders (diastolic BP response=−0.18±4.3; age=47.4±6.5 years; 51.5% women). Haplotype trend regression identified a region of chromosome 12q15 in which haplotypes constructed from 3 successive single nucleotide polymorphisms (rs317689, rs315135, and rs7297610) in proximity to lysozyme ( LYZ ), YEATS domain containing 4 ( YEATS4 ), and fibroblast growth receptor substrate 2 ( FRS2 ) were significantly associated with diastolic BP response (nominal P =2.39×10 −7 ; Bonferroni corrected P =0.024; simulated experiment-wise P =0.040). Genotyping of 35 additional single nucleotide polymorphisms selected to “tag” linkage disequilibrium blocks in these genes provided corroboration that variation in LYZ and YEATS4 was associated with diastolic BP response in a statistically independent data set of 291 black subjects and in the sample of 294 white subjects. These results support the use of genome-wide association analyses to identify novel genes influencing antihypertensive drug responses.
Proteasome β Subunit Pharmacogenomics: Gene Resequencing and Functional Genomics
Wang, Liewei , Kumar, Shaji , Kalari, Krishna R. , Moon, Irene, Pelleymounter, Linda L., Batzler, Anthony , Eckloff, Bruce W., Wieben, Eric D. , Greipp, Philip R., Fridley, Brooke L. , Hildebrandt, Michelle A.T. , Kalari, Krishna R

Clinical Cancer Research | June 2, 2008 | Volume: 14 | Issue: 11 | Pages: 3503-3513

10.1158/1078-0432.ccr-07-5150 Get It

Abstract Purpose: The proteasome is a multisubunit cellular organelle that functions as a nonlysosomal threonine protease. Proteasomes play a critical role in the degradation of proteins, regulating a variety of cellular processes, and they are also the target for antineoplastic proteasome inhibitors. Genetic variation in proteasome subunits could influence both proteasome function and response to drug therapy. Experimental Design: We resequenced genes encoding the three active proteasome β subunits using 240 DNA samples from four ethnic groups and the β5 subunit gene in 79 DNA samples from multiple myeloma patients who had been treated with the proteasome inhibitor bortezomib. Resequencing was followed by functional studies of polymorphisms identified in the coding region and 3′-flanking region (3′-FR) of PSMB5, the gene encoding the target for clinically useful proteasome inhibitors. Results: Resequencing of 240 DNA samples identified a series of novel ethnic-specific polymorphisms that are not represented in public databases. The PSMB5 3′-FR 1042 G allele significantly increased transcription during reporter gene studies, observations confirmed by genotype-phenotype correlations between single nucleotide polymorphisms (SNP) in PSMB5 and mRNA expression in the 240 lymphoblastoid cell lines from which the resequenced DNA was obtained. Studies with patient DNA samples identified additional novel PSMB5 polymorphisms, including a SNP and an insertion in the 3′-FR. Reporter-gene studies indicated that these two novel polymorphisms might decrease transcription. Conclusions: These results show that nonsynonymous coding SNPs in the PSMB5 gene did not show significant effects on proteasome activity, but SNPs did influence transcription. Future studies might focus on regulatory region polymorphisms.
Toll-like Receptor Polymorphisms and Age-Related Macular Degeneration
Edwards, Albert O., Chen, Dequan , James, Katherine M. , Wu, Yanhong , Abecasis, Gonçalo R. , Swaroop, Anand , Othman, Mohammad , Branham, Kari , Iyengar, Sudha K. , Sivakumaran, Theru A. , Klein, Ronald , Klein, Barbara E.K. , Tosakulwong, Nirubol , Fridley, Brooke L. , Abecasis, Gonçalo

Investigative Opthalmology & Visual Science | April 1, 2008 | Volume: 49 | Issue: 4 | Pages: 1652

10.1167/iovs.07-1378 Get It

Human phenylethanolamineN-methyltransferase genetic polymorphisms and exercise-induced epinephrine release
Snyder, Eric M., Salavaggione, Oreste E., Moon, Irene, Batzler, Anthony , Yee, Vivien C., Schaid, Daniel J. , Johnson, Bruce D., Weinshilboum, Richard M. , Ji, Yuan , Fridley, Brooke L. , Joyner, Michael J. , Weinshilboum, Richard M.

Physiological Genomics | March 19, 2008 | Volume: 33 | Issue: 3 | Pages: 323-332

10.1152/physiolgenomics.00248.2007 Get It

Phenylethanolamine N-methyltransferase (PNMT) catalyzes the synthesis of epinephrine from norepinephrine. We previously identified and functionally characterized common sequence variation in the PNMT gene. In the present study, we set out to determine whether common PNMT genetic polymorphisms might be associated with individual variation in circulating epinephrine levels during exercise in 74 Caucasian American subjects. Circulating epinephrine levels were measured in each subject at baseline and during two different levels of exercise, ∼40% and ∼75% of peak workload. The PNMT gene was resequenced with DNA from each study subject. Eight novel PNMT polymorphisms were identified, including a C319T (Arg107Cys) nonsynonymous single nucleotide polymorphism (SNP) and I1G(280)A, a SNP located in the first intron of the gene. The I1G(280)A SNP was significantly associated with decreased exercise-induced circulating epinephrine levels and with a decreased epinephrine-to-norepinephrine ratio. The Cys107 recombinant allozyme displayed significantly lower levels of both PNMT activity and immunoreactive protein than the wild-type allozyme after transfection into COS-1 cells, but it did not appear to be associated with level of epinephrine in these subjects. Electrophoretic mobility shift and reporter gene assays performed with the I1G(280)A SNP indicated that this polymorphism could bind nuclear proteins and might modulate gene transcription. Our studies suggest that functionally significant variant sequence in the human PNMT gene might contribute to individual variation in levels of circulating epinephrine during exercise.
Host genetic variation contributes to phenotypic diversity in myeloproliferative disorders
Pardanani, Animesh , Gilliland, D. Gary, Tefferi, Ayalew , Fridley, Brooke L. , Lasho, Terra L.

Blood | November 16, 2007 | Volume: 111 | Issue: 5 | Pages: 2785-2789

10.1182/blood-2007-06-095703 Get It

JAK2V617F is an acquired mutation associated with polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF). We tested the hypothesis that the paradox of a single disease allele associated with 3 distinctive clinical phenotypes could be explained in part by host-modifying influences. We screened for genetic variation within 4 candidate genes involved in JAK-STAT signaling, including receptors for erythropoietin (EPOR), thrombopoietin (MPL), and granulocyte colony-stimulating factor (GCSFR), and JAK2. We genotyped 32 linkage disequilibrium tag single nucleotide polymorphism (SNP) loci in 179 white patients: 84 had PV, 58 had PMF, and 37 had ET. Genotype-phenotype analysis showed 3 JAK2 SNPs (rs7046736, rs10815148, and rs12342421) to be significantly but reciprocally associated with PV (P < .001 for all; odds ratio = 0.16, 2.72, and 2.46, respectively) and ET (P < .001 for all; odds ratio = 3.05, 0.29, and 0.30, respectively) but not with PMF. Three additional JAK2 SNPs (rs10758669, rs3808850, and rs10974947) and a single EPOR SNP (rs318699) were also significantly associated with PV but not with ET or PMF. Finally, intragene haplotypes in JAK2 were significantly associated with PV only. Thus, host genetic variation may contribute to phenotypic diversity among myeloproliferative disorders, including in the presence of a shared disease allele.