2010 Fiscal Year Final Research Report
Study Design and Statistical Analysis in a Genome-Wide Pharmacogenomics Study
Project/Area Number |
21890035
|
Research Category |
Grant-in-Aid for Research Activity Start-up
|
Allocation Type | Single-year Grants |
Research Field |
Human genetics
|
Research Institution | Chiba University |
Principal Investigator |
SATO Yasunori Chiba University, 医学部附属病院, 講師 (90536723)
|
Project Period (FY) |
2009 – 2010
|
Keywords | ゲノム / 薬剤反応性 / 統計科学 / 遺伝疫学 |
Research Abstract |
The purpose of this research is to examine problems of study design and analyzing methods for genome-wide pharmacogenomics studies from statistical viewpoints, and then to present new proposals in order to contribute to the development of personalized. In this study, three specific issues were addressed regarding the genome-wide pharmacogenomics studies as follows ; i) Statistical analysis for the association between pharmacokinetics and SNP, ii) Statistical analysis for the association between clinical outcome and SNP, iii) Statistical analysis for PK and SNP-PD modeling. These findings of research were reported in academic journals and meetings.
|
-
[Journal Article] Genome-wide association study detected candidate polvmorphisms associated with overall survival (OS) in advanced non-small cell lung cancer treated with carboplatin and paclitaxel.2011
Author(s)
Sato Y, Yamamoto N, Kunitoh H, Ohe Y, Minami H, Laird NM, Katori N, Saito Y, Ohnami S, Sakamoto H, Sawada J, Saijo N, Yoshida T, Tamura T.
-
Journal Title
J Thorac Oncol. 6
Pages: 132-138
Peer Reviewed
-
-
-
-
-
-
-
-