Genetic Variants Assessing Crohn's Disease Pattern in Pediatric Inflammatory Bowel Disease Patients by a Clinical Exome Survey.

Crohn’s disease Inflammatory bowel disease NGS-next generation sequencing genetic variants pediatric patients

Journal

Bioinformatics and biology insights
ISSN: 1177-9322
Titre abrégé: Bioinform Biol Insights
Pays: United States
ID NLM: 101467187

Informations de publication

Date de publication:
2021
Historique:
received: 05 07 2021
accepted: 02 10 2021
entrez: 10 1 2022
pubmed: 11 1 2022
medline: 11 1 2022
Statut: epublish

Résumé

Inflammatory bowel diseases (IBDs) are complex, multifactorial disorders that comprise Crohn's disease (CD) and ulcerative colitis (UC). Recent discoveries have brought much attention to the genetic predisposition of patients with IBD. Here we evaluate the interaction between IBD genetic risk factors susceptibility and CD occurrence in an IBD pediatric patient population, performing a clinical exome survey. From February 2018 to April 2019, we collected blood samples from 7 pediatric patients with IBD concerns from several collaborating health centers and/or hospitals. Blood samples were processed by extracting and sequencing DNA for a clinical exome survey. Shophia-DDM-v3-4 platform allowed sequenced reads alignment on hg19 genome as well as genetic variant calling. Both IBD risk and pathogenic genetic variants covered by at least 20 reads were selected for subjacent analysis. Normality and Bartlett tests of both risk and pathogenic genetic variants suggested random and heterogeneous distribution of these variants in this group of IBD pediatric patients. Our study revealed specific genetic variants linked to CD susceptibility, autoimmune and/or innate immunodeficiency as well as to metabolic defects, as favoring factors of IBD, suggesting the valuable role of next generation sequencing (NGS) approaches in IBD molecular diagnostic procedures.

Sections du résumé

BACKGROUND BACKGROUND
Inflammatory bowel diseases (IBDs) are complex, multifactorial disorders that comprise Crohn's disease (CD) and ulcerative colitis (UC). Recent discoveries have brought much attention to the genetic predisposition of patients with IBD. Here we evaluate the interaction between IBD genetic risk factors susceptibility and CD occurrence in an IBD pediatric patient population, performing a clinical exome survey.
METHODS METHODS
From February 2018 to April 2019, we collected blood samples from 7 pediatric patients with IBD concerns from several collaborating health centers and/or hospitals. Blood samples were processed by extracting and sequencing DNA for a clinical exome survey. Shophia-DDM-v3-4 platform allowed sequenced reads alignment on hg19 genome as well as genetic variant calling. Both IBD risk and pathogenic genetic variants covered by at least 20 reads were selected for subjacent analysis.
RESULTS RESULTS
Normality and Bartlett tests of both risk and pathogenic genetic variants suggested random and heterogeneous distribution of these variants in this group of IBD pediatric patients.
CONCLUSION CONCLUSIONS
Our study revealed specific genetic variants linked to CD susceptibility, autoimmune and/or innate immunodeficiency as well as to metabolic defects, as favoring factors of IBD, suggesting the valuable role of next generation sequencing (NGS) approaches in IBD molecular diagnostic procedures.

Identifiants

pubmed: 35002226
doi: 10.1177/11779322211055285
pii: 10.1177_11779322211055285
pmc: PMC8728778
doi:

Types de publication

Journal Article

Langues

eng

Pagination

11779322211055285

Informations de copyright

© The Author(s) 2021.

Déclaration de conflit d'intérêts

Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Auteurs

Dago Dougba Noel (DD)

Department of Clinical and Experimental Sciences, Institute of Molecular Medicine Angelo Nocivelli, University of Brescia and Children's Hospital, ASST Spedali Civili, Brescia, Italy.
Unit of Biostatistics and Biomathematics & Unit of Bioinformatics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Department of Genetic and Biochemistry, Genetic Research Unit, Peleforo Gon Coulibaly University of Korhogo, Korhogo, Ivory Coast.

Pinelli Marinella (P)

Department of Clinical and Experimental Sciences, Institute of Molecular Medicine Angelo Nocivelli, University of Brescia and Children's Hospital, ASST Spedali Civili, Brescia, Italy.

Giacomelli Mauro (G)

Department of Clinical and Experimental Sciences, Institute of Molecular Medicine Angelo Nocivelli, University of Brescia and Children's Hospital, ASST Spedali Civili, Brescia, Italy.

Serena Ilaria Tripodi (SI)

Department of Clinical and Experimental Sciences, Institute of Molecular Medicine Angelo Nocivelli, University of Brescia and Children's Hospital, ASST Spedali Civili, Brescia, Italy.

Alessia Pin (A)

IRCCS Materno Infantile Burlo Garofolo, Trieste, Italy.

Arrigo Serena (A)

Pediatric Hospital Giannina Gaslini, Genoa, Italy.

Bramuzzo Matteo (B)

IRCCS Materno Infantile Burlo Garofolo, Trieste, Italy.

Fuoti Maurizio Giuseppe (FM)

ASST Spedali Civili, Brescia, Italy.

Alvisi Patrizia (A)

Pediatric Gastroenterology Unit, Maggiore Hospital, Bologna, Italy.

Calza Stefano (C)

Unit of Biostatistics and Biomathematics & Unit of Bioinformatics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.

Alberto Tommasini (A)

IRCCS Materno Infantile Burlo Garofolo, Trieste, Italy.

Badolato Raffaele (B)

Department of Clinical and Experimental Sciences, Institute of Molecular Medicine Angelo Nocivelli, University of Brescia and Children's Hospital, ASST Spedali Civili, Brescia, Italy.

Classifications MeSH