2019
DOI: 10.1016/j.waojou.2019.100038
|View full text |Cite
|
Sign up to set email alerts
|

Identification of rare variants of allergic rhinitis based on whole genome sequencing and gene expression profiling: A preliminary investigation in four families

Abstract: Background Despite the success of genome-wide association studies for allergic rhinitis (AR), no definitive causal variants have been identified, and a substantial portion of the heritability of the disease is yet to be discovered. Methods Four families, each with at least 1 parent and one child suffering from dust mite (DM) AR, were recruited, and whole-genome sequencing was performed on samples from 9 eligible individuals from these families. Conjoint analysis was per… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 44 publications
0
2
0
Order By: Relevance
“…A recent study also showed a significant increase in the risk of allergic diseases including asthma, allergic rhinitis, and atopic dermatitis, if a parent had a history of allergy [ 77 ]. Research on the association between family history and allergic diseases has been widely conducted, and recent studies have shown the association of specific genetic polymorphism with the susceptibility to allergic rhinitis [ 78 , 79 ].…”
Section: Discussionmentioning
confidence: 99%
“…A recent study also showed a significant increase in the risk of allergic diseases including asthma, allergic rhinitis, and atopic dermatitis, if a parent had a history of allergy [ 77 ]. Research on the association between family history and allergic diseases has been widely conducted, and recent studies have shown the association of specific genetic polymorphism with the susceptibility to allergic rhinitis [ 78 , 79 ].…”
Section: Discussionmentioning
confidence: 99%
“…To date, next-generation sequencing and bioinformatics analysis have been used to identify genetic and transcriptomic alterations involved in the development and progression of the disease and to classify patients for therapeutic prediction [ 6 , 7 ]. Previous studies on AR have focused on genetic and transcriptomic alterations to identify AR-related features and have demonstrated variants of Vascular Endothelial Growth Factor B ( VEGFB , 322A>C) and/or Integrin Subunit Alpha 2 ( ITGA2 , 502+1G>A) mainly in AR patients [ 8 ]. In addition, it was found that expression of the periostin ( POSTN ) gene was enhanced in AR compared to non-AR [ 9 ].…”
Section: Introductionmentioning
confidence: 99%