基因表达研究中的Meta分析

Meta-Analysis in Gene Expression Studies.

作者信息

Waldron Levi, Riester Markus

机构信息

Department of Epidemiology and Biostatistics, City University of New York School of Public Health, New York, NY, 10035, USA.

Novartis Institutes for BioMedical Research (NIBR), 250 Massachusetts Avenue, Cambridge, MA, 02139, USA.

出版信息

Methods Mol Biol. 2016;1418:161-76. doi: 10.1007/978-1-4939-3578-9_8.

DOI:10.1007/978-1-4939-3578-9_8

PMID:27008014

Abstract

This chapter introduces methods to synthesize experimental results from independent high-throughput genomic experiments, with a focus on adaptation of traditional methods from systematic review of clinical trials and epidemiological studies. First, it reviews methods for identifying, acquiring, and preparing individual patient data for meta-analysis. It then reviews methodology for synthesizing results across studies and assessing heterogeneity, first through outlining of methods and then through a step-by-step case study in identifying genes associated with survival in high-grade serous ovarian cancer.

摘要

本章介绍了从独立的高通量基因组实验中综合实验结果的方法，重点是改编来自临床试验系统评价和流行病学研究的传统方法。首先，它回顾了用于识别、获取和准备个体患者数据以进行荟萃分析的方法。然后，它回顾了跨研究综合结果和评估异质性的方法，首先概述方法，然后通过一个逐步的案例研究来识别与高级别浆液性卵巢癌生存相关的基因。