The Clinical Core at the Division of Research, Kaiser Permanente of Northern California (KPNC) is a key component of the overall POST Center. It serves a vital role by providing all the human participants for Project 1, and all the genotypic data, phenotypic data, and DNA samples to Project 3.
The aims of the POST Clinical Core are: 1) To obtain whole blood and plasma from KPNC statin users with a) a major adverse coronary event (MACE, N=124) while on treatment, b) statin-induced myopathy (N=124), c) new onset diabetes (N=124), and d) three sets of 124 matched controls (N=372) for the studies in Project 1 (?Molecular Determinants of Statin Efficacy and Adverse Effects using Cellular Models?, Drs. Medina and Krauss); 2) With Project 3 (?Genome-wide Association Study of Statin Response and its Consequences?, Dr. Risch), create a dataset of medical and pharmacy information relevant to statin effects on lipids, MACE, stroke, statin-induced myopathy and new onset diabetes from the electronic medical records of patients in the GERA cohort; and 3) Provide DNA samples from selected statin users within the GERA cohort (n=2,517) and within the extended Kaiser Permanente Research Program on Genes, Environment, and Health (RPGEH) biorepository (n=843) to Project 3 for follow-up genetic analysis of candidate loci identified throughout the Center's research program.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center (P50)
Project #
5P50GM115318-02
Application #
9139484
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2016-09-01
Budget End
2017-08-31
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Children's Hospital & Res Ctr at Oakland
Department
Type
DUNS #
076536184
City
Oakland
State
CA
Country
United States
Zip Code
94609
Kim, Dongwook; Shivakumar, Manu; Han, Seonggyun et al. (2018) Population-dependent Intron Retention and DNA Methylation in Breast Cancer. Mol Cancer Res 16:461-469
Miller, Jason E; Shivakumar, Manu K; Risacher, Shannon L et al. (2018) Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker. Pac Symp Biocomput 23:365-376
Oni-Orisan, Akinyemi; Hoffmann, Thomas J; Ranatunga, Dilrini et al. (2018) Characterization of Statin Low-Density Lipoprotein Cholesterol Dose-Response Using Electronic Health Records in a Large Population-Based Cohort. Circ Genom Precis Med 11:e002043
Orozco, Luz D; Farrell, Colin; Hale, Christopher et al. (2018) Epigenome-wide association in adipose tissue from the METSIM cohort. Hum Mol Genet 27:1830-1846
Kim, Kyungpil; Theusch, Elizabeth; Kuang, Yu-Lin et al. (2018) ZNF542P is a pseudogene associated with LDL response to simvastatin treatment. Sci Rep 8:12443
Veturi, Yogasudha; Ritchie, Marylyn D (2018) How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures? Pac Symp Biocomput 23:228-239
Lee, Younghee; Han, Seonggyun; Kim, Dongwook et al. (2018) Genetic variation affecting exon skipping contributes to brain structural atrophy in Alzheimer's disease. AMIA Jt Summits Transl Sci Proc 2017:124-131
Hoffmann, Thomas J; Theusch, Elizabeth; Haldar, Tanushree et al. (2018) A large electronic-health-record-based genome-wide study of serum lipids. Nat Genet 50:401-413
El-Manzalawy, Yasser; Hsieh, Tsung-Yu; Shivakumar, Manu et al. (2018) Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data. BMC Med Genomics 11:71
Lee, Seung-Been; Wheeler, Marsha M; Patterson, Karynne et al. (2018) Stargazer: a software tool for calling star alleles from next-generation sequencing data using CYP2D6 as a model. Genet Med :

Showing the most recent 10 out of 21 publications