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Analysis of coding variants in the human FTO gene from the gnomAD database
Single nucleotide polymorphisms (SNPs) in the first intron of the FTO gene reported in 2007 continue to be the known variants with the greatest effect on adiposity in different human populations. Coding variants in the FTO gene, on the other hand, have been little explored, although data from comple...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8735611/ https://www.ncbi.nlm.nih.gov/pubmed/34990463 http://dx.doi.org/10.1371/journal.pone.0248610 |
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author | Souza Junior, Mauro Lúcio Ferreira de Sousa, Jaime Viana Guerreiro, João Farias |
author_facet | Souza Junior, Mauro Lúcio Ferreira de Sousa, Jaime Viana Guerreiro, João Farias |
author_sort | Souza Junior, Mauro Lúcio Ferreira |
collection | PubMed |
description | Single nucleotide polymorphisms (SNPs) in the first intron of the FTO gene reported in 2007 continue to be the known variants with the greatest effect on adiposity in different human populations. Coding variants in the FTO gene, on the other hand, have been little explored, although data from complete sequencing of the exomes of various populations are available in public databases and provide an excellent opportunity to investigate potential functional variants in FTO. In this context, this study aimed to track nonsynonymous variants in the exons of the FTO gene in different population groups employing the gnomAD database and analyze the potential functional impact of these variants on the FTO protein using five publicly available pathogenicity prediction programs. The findings revealed 345 rare mutations, of which 321 are missense (93%), 19 are stop gained (5.6%) and five mutations are located in the splice region (1.4%). Of these, 134 (38.8%) were classified as pathogenic, 144 (41.7%) as benign and 67 (19.5%) as unknown. The available data, however, suggest that these variants are probably not associated with BMI and obesity, but instead, with other diseases. Functional studies are, therefore, required to identify the role of these variants in disease genesis. |
format | Online Article Text |
id | pubmed-8735611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-87356112022-01-07 Analysis of coding variants in the human FTO gene from the gnomAD database Souza Junior, Mauro Lúcio Ferreira de Sousa, Jaime Viana Guerreiro, João Farias PLoS One Research Article Single nucleotide polymorphisms (SNPs) in the first intron of the FTO gene reported in 2007 continue to be the known variants with the greatest effect on adiposity in different human populations. Coding variants in the FTO gene, on the other hand, have been little explored, although data from complete sequencing of the exomes of various populations are available in public databases and provide an excellent opportunity to investigate potential functional variants in FTO. In this context, this study aimed to track nonsynonymous variants in the exons of the FTO gene in different population groups employing the gnomAD database and analyze the potential functional impact of these variants on the FTO protein using five publicly available pathogenicity prediction programs. The findings revealed 345 rare mutations, of which 321 are missense (93%), 19 are stop gained (5.6%) and five mutations are located in the splice region (1.4%). Of these, 134 (38.8%) were classified as pathogenic, 144 (41.7%) as benign and 67 (19.5%) as unknown. The available data, however, suggest that these variants are probably not associated with BMI and obesity, but instead, with other diseases. Functional studies are, therefore, required to identify the role of these variants in disease genesis. Public Library of Science 2022-01-06 /pmc/articles/PMC8735611/ /pubmed/34990463 http://dx.doi.org/10.1371/journal.pone.0248610 Text en © 2022 Souza Junior et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Souza Junior, Mauro Lúcio Ferreira de Sousa, Jaime Viana Guerreiro, João Farias Analysis of coding variants in the human FTO gene from the gnomAD database |
title | Analysis of coding variants in the human FTO gene from the gnomAD database |
title_full | Analysis of coding variants in the human FTO gene from the gnomAD database |
title_fullStr | Analysis of coding variants in the human FTO gene from the gnomAD database |
title_full_unstemmed | Analysis of coding variants in the human FTO gene from the gnomAD database |
title_short | Analysis of coding variants in the human FTO gene from the gnomAD database |
title_sort | analysis of coding variants in the human fto gene from the gnomad database |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8735611/ https://www.ncbi.nlm.nih.gov/pubmed/34990463 http://dx.doi.org/10.1371/journal.pone.0248610 |
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