Repository logo
 
Publication

Identification of Genetic Variants in 65 Obesity Related Genes in a Cohort of Portuguese Obese Individuals

dc.contributor.authorGinete, C
dc.contributor.authorSerrasqueiro, B
dc.contributor.authorSilva-Nunes, J
dc.contributor.authorVeiga, L
dc.contributor.authorBrito, M
dc.date.accessioned2022-06-15T14:24:39Z
dc.date.available2022-06-15T14:24:39Z
dc.date.issued2021
dc.description.abstractObesity is a major public health problem, which has a strong genetic component that interplays with environmental factors. Several genes are known to be implicated in the regulation of body weight. The identification of alleles that can be associated with obesity is a key element to control this pandemic. On the basis of a Portuguese population, 65 obesity-related genes are sequenced using Next-Generation Sequencing (NGS) in 72 individuals with obesity, in order to identify variants associated with monogenic obesity and potential risk factors. A total of 429 variants are identified, 129 of which had already been associated with the phenotype. Comparing our results with the European and Global frequencies, from 1000 Genomes project, 23 potential risk variants are identified. Six new variants are discovered in heterozygous carriers: four missense (genes ALMS1-NM_015120.4:c.5552C>T; SORCS1-NM_001013031.2:c.1072A>G and NM_001013031.2: c.2491A>C; TMEM67-NM_153704.5:c.158A>G) and two synonymous (genes BBS1-NM_024649.4:c.1437C>T; TMEM67-NM_153704.5:c.2583T>C). Functional studies should be performed to validate these new findings and evaluate their penetrance and pathogenicity. Regardless of no cases of monogenic obesity being identified, this kind of investigational study is important when we are still trying to understand the aetiology and pathophysiology of obesity. This will allow the identification of rare variants associated with obesity and the study of their prevalence in specific populational groups.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGenes (Basel). 2021 Apr 19;12(4):603.pt_PT
dc.identifier.doi10.3390/genes12040603.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.17/4117
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.subjectHCC ENDpt_PT
dc.subjectAdultpt_PT
dc.subjectAgedpt_PT
dc.subjectFemalept_PT
dc.subjectMalept_PT
dc.subjectHumanspt_PT
dc.subjectCohort Studiespt_PT
dc.subjectGenetic Markers*pt_PT
dc.subjectGenetic Variation*pt_PT
dc.subjectHigh-Throughput Nucleotide Sequencing / methods*pt_PT
dc.subjectMiddle Agedpt_PT
dc.subjectMutation*pt_PT
dc.subjectObesity / epidemiology*pt_PT
dc.subjectObesity / genetics*pt_PT
dc.subjectPenetrancept_PT
dc.subjectPhenotypept_PT
dc.subjectPortugal / epidemiologypt_PT
dc.subjectYoung Adultpt_PT
dc.titleIdentification of Genetic Variants in 65 Obesity Related Genes in a Cohort of Portuguese Obese Individualspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage603pt_PT
oaire.citation.titleGenespt_PT
oaire.citation.volume12pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Genes 2021.pdf
Size:
600.94 KB
Format:
Adobe Portable Document Format

Collections