Risk Alleles for Multiple Myeloma Susceptibility in ADME Genes.


Journal

Cells
ISSN: 2073-4409
Titre abrégé: Cells
Pays: Switzerland
ID NLM: 101600052

Informations de publication

Date de publication:
06 01 2022
Historique:
received: 13 11 2021
revised: 27 12 2021
accepted: 04 01 2022
entrez: 21 1 2022
pubmed: 22 1 2022
medline: 23 2 2022
Statut: epublish

Résumé

The cause of multiple myeloma (MM) remains largely unknown. Several pieces of evidence support the involvement of genetic and multiple environmental factors (i.e., chemical agents) in MM onset. The inter-individual variability in the bioactivation, detoxification, and clearance of chemical carcinogens such as asbestos, benzene, and pesticides might increase the MM risk. This inter-individual variability can be explained by the presence of polymorphic variants in absorption, distribution, metabolism, and excretion (ADME) genes. Despite the high relevance of this issue, few studies have focused on the inter-individual variability in ADME genes in MM risk. To identify new MM susceptibility loci, we performed an extended candidate gene approach by comparing high-throughput genotyping data of 1936 markers in 231 ADME genes on 64 MM patients and 59 controls from the CEU population. Differences in genotype and allele frequencies were validated using an internal control group of 35 non-cancer samples from the same geographic area as the patient group. We detected an association between MM risk and

Identifiants

pubmed: 35053305
pii: cells11020189
doi: 10.3390/cells11020189
pmc: PMC8773885
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Francesca Scionti (F)

Institute of Research and Biomedical Innovation (IRIB), Italian National Council (CNR), 98164 Messina, Italy.

Giuseppe Agapito (G)

Department of Law, Economics and Sociology, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.
Data Analytics Research Center, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.

Daniele Caracciolo (D)

Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.

Caterina Riillo (C)

Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.

Katia Grillone (K)

Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.

Mario Cannataro (M)

Data Analytics Research Center, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.
Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.

Maria Teresa Di Martino (MT)

Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.

Pierosandro Tagliaferri (P)

Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.

Pierfrancesco Tassone (P)

Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.

Mariamena Arbitrio (M)

Institute of Research and Biomedical Innovation (IRIB), Italian National Council (CNR), 88100 Catanzaro, Italy.

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Classifications MeSH