Veys Hashemnia, Hossein Sadeghi, Asal Honarpour, Kimia Dorraji, Nazanin Haririan, Yasaman Electriciteh, Reza Mirfakhraie
{"title":"Both Fetal and Maternal Genotypes Affect Preeclampsia Pathogenesis in Iranian Patients.","authors":"Veys Hashemnia, Hossein Sadeghi, Asal Honarpour, Kimia Dorraji, Nazanin Haririan, Yasaman Electriciteh, Reza Mirfakhraie","doi":"10.1007/s10528-025-11081-8","DOIUrl":null,"url":null,"abstract":"<p><p>Preeclampsia is a multifactorial disorder that only occurs during pregnancy. Several genome-wide association studies (GWASs) have revealed potential susceptible variants associated with preeclampsia in different populations. GWASs findings in other ethnicities must be replicated in order to confirm the observed genotype-phenotype association. Here, we performed a replication study to investigate the association of three previously reported genome-wide signals, including FLT1rs4769612, FTO rs1421085, and ZNF831 rs259983, with preeclampsia in the Iranian population. A total of 600 subjects were recruited for this study. The maternal group included 200 preeclamptic patients and 200 healthy normotensive pregnant women. The fetal group included 100 individuals born of preeclamptic pregnancies and 100 individuals born from healthy pregnancies. The tetra-primer amplification refractory mutation system-polymerase chain reaction (TP-ARMS PCR) technique was used for genotyping the rs4769612, rs1421085, and rs259983 variants. The fetal genotype of rs4769612 (FLT1) was associated with preeclampsia risk under the recessive inheritance model. Moreover, fetal rs1421085 (FTO) increased the risk of preeclampsia under dominant and over-dominant inheritance models. Regarding ZNF831 rs259983, only the maternal genotype was associated with preeclampsia under the dominant model, and no association was detected between the fetal genotype and the disease risk. Although the present results showed discrepancies with previous studies considering the association of maternal or fetal genotypes with preeclampsia, all three studied polymorphisms were related to the disease risk in the Iranian population. Based on our study, rs4769612, rs1421085, and rs259983 were associated with the risk of preeclampsia in the Iranian population.</p>","PeriodicalId":482,"journal":{"name":"Biochemical Genetics","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10528-025-11081-8","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Preeclampsia is a multifactorial disorder that only occurs during pregnancy. Several genome-wide association studies (GWASs) have revealed potential susceptible variants associated with preeclampsia in different populations. GWASs findings in other ethnicities must be replicated in order to confirm the observed genotype-phenotype association. Here, we performed a replication study to investigate the association of three previously reported genome-wide signals, including FLT1rs4769612, FTO rs1421085, and ZNF831 rs259983, with preeclampsia in the Iranian population. A total of 600 subjects were recruited for this study. The maternal group included 200 preeclamptic patients and 200 healthy normotensive pregnant women. The fetal group included 100 individuals born of preeclamptic pregnancies and 100 individuals born from healthy pregnancies. The tetra-primer amplification refractory mutation system-polymerase chain reaction (TP-ARMS PCR) technique was used for genotyping the rs4769612, rs1421085, and rs259983 variants. The fetal genotype of rs4769612 (FLT1) was associated with preeclampsia risk under the recessive inheritance model. Moreover, fetal rs1421085 (FTO) increased the risk of preeclampsia under dominant and over-dominant inheritance models. Regarding ZNF831 rs259983, only the maternal genotype was associated with preeclampsia under the dominant model, and no association was detected between the fetal genotype and the disease risk. Although the present results showed discrepancies with previous studies considering the association of maternal or fetal genotypes with preeclampsia, all three studied polymorphisms were related to the disease risk in the Iranian population. Based on our study, rs4769612, rs1421085, and rs259983 were associated with the risk of preeclampsia in the Iranian population.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.