دورية أكاديمية
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A Data-Driven Review of the Genetic Factors of Pregnancy Complications.

التفاصيل البيبلوغرافية
العنوان: A Data-Driven Review of the Genetic Factors of Pregnancy Complications.
المؤلفون: Barbitoff YA; Bioinformatics Institute, 197342 St. Petersburg, Russia.; Department of Genetics and Biotechnology, Saint-Petersburg State University, 199034 St. Petersburg, Russia.; Department of Genomic Medicine, D.O.Ott Research Institute for Obstetrics, Gynaecology and Reproductology, 199034 St. Petersburg, Russia., Tsarev AA; Bioinformatics Institute, 197342 St. Petersburg, Russia.; Department of Biochemistry, Saint-Petersburg State University, 199034 St. Petersburg, Russia., Vashukova ES; Department of Genomic Medicine, D.O.Ott Research Institute for Obstetrics, Gynaecology and Reproductology, 199034 St. Petersburg, Russia., Maksiutenko EM; Department of Genetics and Biotechnology, Saint-Petersburg State University, 199034 St. Petersburg, Russia.; St. Petersburg Branch, Vavilov Institute of General Genetics, Russian Academy of Sciences, 199034 St. Petersburg, Russia., Kovalenko LV; Department of Pathology, Medical Institute, Surgut State University, 628416 Surgut, Russia., Belotserkovtseva LD; Department of Obstetrics, Gynecology and Perinatology, Medical Institute, Surgut State University, 628416 Surgut, Russia., Glotov AS; Department of Genomic Medicine, D.O.Ott Research Institute for Obstetrics, Gynaecology and Reproductology, 199034 St. Petersburg, Russia.; Laboratory of Biobanking and Genomic Medicine, Saint-Petersburg State University, 199034 St. Petersburg, Russia.
المصدر: International journal of molecular sciences [Int J Mol Sci] 2020 May 11; Vol. 21 (9). Date of Electronic Publication: 2020 May 11.
نوع المنشور: Journal Article; Review
اللغة: English
بيانات الدورية: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101092791 Publication Model: Electronic Cited Medium: Internet ISSN: 1422-0067 (Electronic) Linking ISSN: 14220067 NLM ISO Abbreviation: Int J Mol Sci Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Basel, Switzerland : MDPI, [2000-
مواضيع طبية MeSH: Polymorphism, Single Nucleotide*, Genetic Predisposition to Disease/*genetics , Genome, Human/*genetics , Genome-Wide Association Study/*methods , Pregnancy Complications/*genetics, Databases, Genetic ; Female ; Humans ; Pregnancy ; Risk Factors
مستخلص: Over the recent years, many advances have been made in the research of the genetic factors of pregnancy complications. In this work, we use publicly available data repositories, such as the National Human Genome Research Institute GWAS Catalog, HuGE Navigator, and the UK Biobank genetic and phenotypic dataset to gain insights into molecular pathways and individual genes behind a set of pregnancy-related traits, including the most studied ones-preeclampsia, gestational diabetes, preterm birth, and placental abruption. Using both HuGE and GWAS Catalog data, we confirm that immune system and, in particular, T-cell related pathways are one of the most important drivers of pregnancy-related traits. Pathway analysis of the data reveals that cell adhesion and matrisome-related genes are also commonly involved in pregnancy pathologies. We also find a large role of metabolic factors that affect not only gestational diabetes, but also the other traits. These shared metabolic genes include IGF2 , PPARG , and NOS3 . We further discover that the published genetic associations are poorly replicated in the independent UK Biobank cohort. Nevertheless, we find novel genome-wide associations with pregnancy-related traits for the FBLN7 , STK32B , and ACTR3B genes, and replicate the effects of the KAZN and TLE1 genes, with the latter being the only gene identified across all data resources. Overall, our analysis highlights central molecular pathways for pregnancy-related traits, and suggests a need to use more accurate and sophisticated association analysis strategies to robustly identify genetic risk factors for pregnancy complications.
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معلومات مُعتمدة: 19-75-2003 Russian Science Foundation; 18-415-860006 r_a Russian Foundation for Basic Research
فهرسة مساهمة: Keywords: genetic variant; genome-wide association study; gestational diabetes; placental abruption; preeclampsia; pregnancy complications; preterm birth
تواريخ الأحداث: Date Created: 20200515 Date Completed: 20210222 Latest Revision: 20210222
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC7246997
DOI: 10.3390/ijms21093384
PMID: 32403311
قاعدة البيانات: MEDLINE
الوصف
تدمد:1422-0067
DOI:10.3390/ijms21093384