metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis

Cichonska Anna; Rousu Juho; Marttinen Pekka; Kangas Antti J.; Soininen Pasi; Lehtimaki Terho; Raitakari Olli T.; Jarvelin Marjo-Riitta; Salomaa Veikko; Ala-Korpela Mika; Ripatti Samuli; Pirinen Matti

首页> 外文期刊>Bioinformatics >metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis

【24h】

metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis

机译：metaCCA：基于典范相关性分析的基于汇总统计的全基因组关联研究多元荟萃分析

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Motivation: A dominant approach to genetic association studies is to perform univariate tests between genotype-phenotype pairs. However, analyzing related traits together increases statistical power, and certain complex associations become detectable only when several variants are tested jointly. Currently, modest sample sizes of individual cohorts, and restricted availability of individual-level genotype-phenotype data across the cohorts limit conducting multivariate tests.

机译：动机：遗传关联研究的主要方法是在基因型-表型对之间进行单变量检验。但是，一起分析相关性状可提高统计能力，并且只有在对多个变体进行联合测试时，某些复杂的关联才变得可检测。当前，单个队列的样本量适中，并且跨队列的单个水平基因型-表型数据的可用性有限，限制了进行多变量测试。

著录项

来源
《Bioinformatics》 |2016年第13期|共9页
作者
Cichonska Anna; Rousu Juho; Marttinen Pekka; Kangas Antti J.; Soininen Pasi; Lehtimaki Terho; Raitakari Olli T.; Jarvelin Marjo-Riitta; Salomaa Veikko; Ala-Korpela Mika; Ripatti Samuli; Pirinen Matti;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类生物工程学（生物技术）;
关键词

相似文献

外文文献
中文文献
专利

1. metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis [J] . Cichonska Anna, Rousu Juho, Marttinen Pekka, Bioinformatics . 2016,第13期

机译：metaCCA：基于典范相关性分析的基于汇总统计的全基因组关联研究多元荟萃分析
2. Multivariate Analysis of Anthropometric Traits using Summary Statistics of Genome-Wide Association Studies from GIANT Consortium [J] . Park Haeil, Li Xiaoyin, Song Yeunjoo E., Genetic epidemiology. . 2016,第7期

机译：使用GIANT联盟全基因组关联研究的摘要统计数据对人体测量学特征进行多变量分析
3. Multivariate genome-wide association study for volumes of structural MRI regions of interest measures via a genetic correlation network modular analysis [J] . Zhu Xiaofeng, Liang Jingjing Genetic epidemiology. . 2018,第7期

机译：多元基因组关联研究通过遗传相关网络模块化分析研究利益措施的结构MRI区域体积
4. Association Study of Alzheimer's Disease with Tree-Guided Sparse Canonical Correlation Analysis [C] . Shangchen Zhou, Shuai Yuan, Zhizhuo Zhang, International conference on neural information processing;Annual conference of Asia-Pacific Neural Network Society . 2018

机译：阿尔茨海默氏病与树状稀疏典范相关分析的关联研究
5. Leveraging Summary Statistics and Integrative Analysis for Prediction and Inference in Genome-Wide Association Studies [D] . Pattee, Jack William. 2020

机译：基因组关联研究中预测和推断的汇总统计和综合分析
6. metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis [O] . Anna Cichonska, Juho Rousu, Pekka Marttinen, -1

机译：metaCCA：基于典范相关性分析的基于汇总统计的全基因组关联研究多元荟萃分析
7. metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis [O] . Cichonska A, Rousu J, Marttinen P, 2016

机译：metaCCa：使用典型相关分析进行全基因组关联研究的基于统计学的多元荟萃分析

metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis

摘要

著录项

相似文献

相关主题

期刊订阅