Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics

Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics

Abstract Background Many genome-wide association studies have detected genomic regions associated with traits, yet understanding the functional causes of association often remains elusive. Utilizing systems approaches and focusing on intermediate molecular phenotypes might facilitate biologic unders...

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Bibliographic Details
Main Authors: Azam Yazdani, Akram Yazdani, Sarah H. Elsea, Daniel J. Schaid, Michael R. Kosorok, Gita Dangol, Ahmad Samiei
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Genomics
Subjects:
Loss of function
Genome analysis
Underlying metabolomic relationship
Causal network in observational study
Structural equation modeling
Mendelian randomization principles
Online Access:http://link.springer.com/article/10.1186/s12864-019-5772-4

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http://link.springer.com/article/10.1186/s12864-019-5772-4

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