2022
DOI: 10.3390/ijms232213691
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Sex Hormone Candidate Gene Polymorphisms Are Associated with Endometriosis

Abstract: The present study was designed to examine whether sex hormone polymorphisms proven by GWAS are associated with endometriosis risk. Unrelated female participants totaling 1376 in number (395 endometriosis patients and 981 controls) were recruited into the study. Nine single-nucleotide polymorphisms (SNPs) which GWAS correlated with circulating levels of sex hormones were genotyped using a TaqMan allelic discrimination assay. FSH-lowering, and LH- and testosterone-heightening polymorphisms of the FSHB promoter (… Show more

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Cited by 13 publications
(6 citation statements)
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References 90 publications
(174 reference statements)
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“…For the purpose of biological interpretation of the identified associations (establishing the mechanisms underlying these associations), we used in silico information on the assumed functional ability of HTN-related polymorphisms (taking into account strongly coupled loci with a coupling strength of at least 0.80 [134,135]) and genes. We used such seven bioinformatics databases as (1) HaploReg [116] (determination of the regulatory potential of polymorphisms: location in putative promoters/enhancers, association with transcription factors/regulatory proteins, localization in regions of open chromatin and evolutionarily conservative DNA sites), (2) SIFT [136] and (3) PolyPhen-2 [137] (identification and evaluation of predictive potential of non-synonymous SNPs), (4) GTEx [138] (correlation of loci with gene expression and alternative splicing in 54 different organs/tissues), (5) Blood eQTL browser [139] (the relationship of SNPs with gene expression in peripheral blood), (6) Gene Ontology [140] (identification of HTN-associated genes pathways), (7) Gen-eMANIA [141] (estimation and visualization of the mechanisms of intergenic interactions of HTN-significant genes).…”
Section: Definition Of the Alleged Functional Ability Of Htn-related ...mentioning
confidence: 99%
“…For the purpose of biological interpretation of the identified associations (establishing the mechanisms underlying these associations), we used in silico information on the assumed functional ability of HTN-related polymorphisms (taking into account strongly coupled loci with a coupling strength of at least 0.80 [134,135]) and genes. We used such seven bioinformatics databases as (1) HaploReg [116] (determination of the regulatory potential of polymorphisms: location in putative promoters/enhancers, association with transcription factors/regulatory proteins, localization in regions of open chromatin and evolutionarily conservative DNA sites), (2) SIFT [136] and (3) PolyPhen-2 [137] (identification and evaluation of predictive potential of non-synonymous SNPs), (4) GTEx [138] (correlation of loci with gene expression and alternative splicing in 54 different organs/tissues), (5) Blood eQTL browser [139] (the relationship of SNPs with gene expression in peripheral blood), (6) Gene Ontology [140] (identification of HTN-associated genes pathways), (7) Gen-eMANIA [141] (estimation and visualization of the mechanisms of intergenic interactions of HTN-significant genes).…”
Section: Definition Of the Alleged Functional Ability Of Htn-related ...mentioning
confidence: 99%
“…FGR-significant locus/gene probable functions. We explored FGR-correlated loci and LD SNPs (r 2 was not less than 0.80 [ 142 , 143 ]) from the standpoint of their possible functionality [ 144 , 145 , 146 ]. For the purpose of in-depth/comprehensive analysis of materials on this issue, based on the positively proven in extensive (including GWAS) genetic research with an in silico approach [ 147 , 148 , 149 , 150 ], six different contemporary bioinformatic programs/resources were utilized, such as (a) GTE Consortium data [ 151 ], (b) HaploReg [ 128 ], (c) GeneOntology knowledge base [ 152 ], (d) STRING [ 153 ], (e) Blood eQTL resource [ 154 ], and (f) SIFT [ 155 ].…”
Section: Methodsmentioning
confidence: 99%
“…The probable KOA effector SNPs/genes (taking into account proxy SNPs, r 2 ≥ 0.80 [ 60 , 61 ]) have been chosen for their functionality (the in silico approach was applied [ 62 , 63 ] based on online integrated resources of bioinformatics information [ 64 , 65 , 66 ] including the GTEx [ 67 ], PolyPhen2 [ 68 ], HaploReg [ 39 ], Blood eQTL [ 69 ], SIFT [ 70 ], GeneMANIA [ 71 ]).…”
Section: Methodsmentioning
confidence: 99%