Disentangling molecular relationships with a causal inference test
Background There has been intense effort over the past couple of decades to identify loci
underlying quantitative traits as a key step in the process of elucidating the etiology of …
underlying quantitative traits as a key step in the process of elucidating the etiology of …
Critical reasoning on causal inference in genome-wide linkage and association studies
Genome-wide linkage and association studies of tens of thousands of clinical and molecular
traits are currently underway, offering rich data for inferring causality between traits and …
traits are currently underway, offering rich data for inferring causality between traits and …
Strengthening causal inference for complex disease using molecular quantitative trait loci
Large genome-wide association studies (GWAS) have identified loci that are associated with
complex traits and diseases, but index variants are often not causal and reside in non …
complex traits and diseases, but index variants are often not causal and reside in non …
Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks
A key goal of biology is to construct networks that predict complex system behavior. We
combine multiple types of molecular data, including genotypic, expression, transcription …
combine multiple types of molecular data, including genotypic, expression, transcription …
Inferring the conservative causal core of gene regulatory networks
G Altay, F Emmert-Streib - BMC systems biology, 2010 - Springer
Background Inferring gene regulatory networks from large-scale expression data is an
important problem that received much attention in recent years. These networks have the …
important problem that received much attention in recent years. These networks have the …
Determining causality and consequence of expression quantitative trait loci
A Battle, SB Montgomery - Human genetics, 2014 - Springer
Expression quantitative trait loci (eQTLs) are currently the most abundant and systematically-
surveyed class of functional consequence for genetic variation. Recent genetic studies of …
surveyed class of functional consequence for genetic variation. Recent genetic studies of …
Principled computational methods for the validation discovery of genetic regulatory networks
AJ Hartemink - 2001 - dspace.mit.edu
As molecular biology continues to evolve in the direction of high-throughput collection of
data, it has become increasingly necessary to develop computational methods for analyzing …
data, it has become increasingly necessary to develop computational methods for analyzing …
Estimating the causal tissues for complex traits and diseases
How to interpret the biological causes underlying the predisposing markers identified
through genome-wide association studies (GWAS) remains an open question. One direct …
through genome-wide association studies (GWAS) remains an open question. One direct …
An integrative approach for causal gene identification and gene regulatory pathway inference
Motivation: Gene expression variation can often be linked to certain chromosomal regions
and are tightly associated with phenotypic variation such as disease conditions. Inferring the …
and are tightly associated with phenotypic variation such as disease conditions. Inferring the …
ProGeM: a framework for the prioritization of candidate causal genes at molecular quantitative trait loci
Quantitative trait locus (QTL) mapping of molecular phenotypes such as metabolites, lipids
and proteins through genome-wide association studies represents a powerful means of …
and proteins through genome-wide association studies represents a powerful means of …