2020
DOI: 10.1093/hmg/ddaa097
|View full text |Cite
|
Sign up to set email alerts
|

Functional genomics in autoimmune diseases

Abstract: Associations between genetic loci and increased susceptibility to autoimmune disease have been well characterized, however, translating this knowledge into mechanistic insight and patient benefit remains a challenge. While improvements in the precision, completeness and accuracy of our genetic understanding of autoimmune diseases will undoubtedly be helpful, meeting this challenge will require two interlinked problems to be addressed: first which of the highly correlated variants at an individual locus is resp… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
8
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
1
1

Relationship

3
4

Authors

Journals

citations
Cited by 10 publications
(9 citation statements)
references
References 58 publications
(31 reference statements)
1
8
0
Order By: Relevance
“…These studies and many others [ 93 , 94 ] exemplify how 3D chromatin structure can aid the functional interrogation of GWAS loci. However, Hi-C methods often lack resolution to characterize individual enhancer-promoter interactions at sufficient depth since interaction maps are constrained by the restriction enzyme used, typically HindIII .…”
Section: Gene Prioritization Using Chromatin 3d Structurementioning
confidence: 82%
“…These studies and many others [ 93 , 94 ] exemplify how 3D chromatin structure can aid the functional interrogation of GWAS loci. However, Hi-C methods often lack resolution to characterize individual enhancer-promoter interactions at sufficient depth since interaction maps are constrained by the restriction enzyme used, typically HindIII .…”
Section: Gene Prioritization Using Chromatin 3d Structurementioning
confidence: 82%
“…Specific genetic variants that are often associated with increased risk of, for example, cancer, might be significant only insofar as they are coupled with associated (micro)environmental factors. [170,171] This is important given the healthcare industry's rapid evolution. Patient-tailored treatments that follow a decontextualized identification and prediction of disease-susceptibility loci should be avoided unless non-genetic and environment-driven changes are also taken into account.…”
Section: Box 2 Biased Variation In Evolutionmentioning
confidence: 99%
“…These regulatory elements can interact with genes often located hundreds of kilobases away, bypassing in many cases nearby genes (16). Thus, the current challenge remains in linking disease-associated regions with the genes that they affect, in the specific cell types involved, in order to pinpoint to the mechanisms and the biological pathways implicated in genetically susceptible patients (17). In this regard, many techniques to analyze the three-dimensional genome architecture have emerged, such as chromosome conformation capture (3C) (18,19), that can help us annotate these genetic variants.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the current challenge remains in linking disease-associated regions with the genes that they affect, in the specific cell types involved, in order to pinpoint to the mechanisms and the biological pathways implicated in genetically susceptible patients (17). In this regard, many techniques to analyze the three-dimensional genome architecture have emerged, such as chromosome conformation capture (3C) (18,19), that can help us annotate these genetic variants.…”
Section: Introductionmentioning
confidence: 99%