Construction of atorvastatin dose-response relationships using data from a large population-based DNA Biobank

Peggy Peissig; Ekta Sirohi; Richard L. Berg; Christa Brown-Switzer; Nader Ghebranious; Catherine A. McCarty; Russell A. Wilke

doi:10.1111/j.1742-7843.2006.00035.x

Construction of atorvastatin dose-response relationships using data from a large population-based DNA Biobank

Peggy Peissig
, Ekta Sirohi
, Richard L. Berg
, Christa Brown-Switzer
, Nader Ghebranious
, Catherine A. McCarty
, Russell A. Wilke

Administration (DMED)

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Original language	English (US)
Pages (from-to)	286-288
Number of pages	3
Journal	Basic and Clinical Pharmacology and Toxicology
Volume	100
Issue number	4
DOIs	https://doi.org/10.1111/j.1742-7843.2006.00035.x
State	Published - Apr 2007

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title = "Construction of atorvastatin dose-response relationships using data from a large population-based DNA Biobank",

author = "Peggy Peissig and Ekta Sirohi and Berg, \{Richard L.\} and Christa Brown-Switzer and Nader Ghebranious and McCarty, \{Catherine A.\} and Wilke, \{Russell A.\}",

year = "2007",

month = apr,

doi = "10.1111/j.1742-7843.2006.00035.x",

language = "English (US)",

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journal = "Basic and Clinical Pharmacology and Toxicology",

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T1 - Construction of atorvastatin dose-response relationships using data from a large population-based DNA Biobank

AU - Peissig, Peggy

AU - Sirohi, Ekta

AU - Berg, Richard L.

AU - Brown-Switzer, Christa

AU - Ghebranious, Nader

AU - McCarty, Catherine A.

AU - Wilke, Russell A.

PY - 2007/4

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UR - https://www.scopus.com/pages/publications/33947224159#tab=citedBy

U2 - 10.1111/j.1742-7843.2006.00035.x

DO - 10.1111/j.1742-7843.2006.00035.x

M3 - Article

C2 - 17371534

AN - SCOPUS:33947224159

SN - 1742-7835

VL - 100

SP - 286

EP - 288

JO - Basic and Clinical Pharmacology and Toxicology

JF - Basic and Clinical Pharmacology and Toxicology

IS - 4

ER -

Construction of atorvastatin dose-response relationships using data from a large population-based DNA Biobank

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