Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies

المؤلفون المشاركون

Wang, Yuanjia
Yang, Qiong

المصدر

Journal of Probability and Statistics

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-13، 13ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-07-15

دولة النشر

مصر

عدد الصفحات

13

التخصصات الرئيسية

الرياضيات

الملخص EN

Multivariate phenotypes are frequently encountered in genetic association studies.

The purpose of analyzing multivariate phenotypes usually includes discovery of novel genetic variants of pleiotropy effects, that is, affecting multiple phenotypes, and the ultimate goal of uncovering the underlying genetic mechanism.

In recent years, there have been new method development and application of existing statistical methods to such phenotypes.

In this paper, we provide a review of the available methods for analyzing association between a single marker and a multivariate phenotype consisting of the same type of components (e.g., all continuous or all categorical) or different types of components (e.g., some are continuous and others are categorical).

We also reviewed causal inference methods designed to test whether the detected association with the multivariate phenotype is truly pleiotropy or the genetic marker exerts its effects on some phenotypes through affecting the others.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Yang, Qiong& Wang, Yuanjia. 2012. Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-488445

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Yang, Qiong& Wang, Yuanjia. Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies. Journal of Probability and Statistics No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-488445

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Yang, Qiong& Wang, Yuanjia. Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies. Journal of Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-488445

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-488445