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Mead EC, Wang CA, Phung J, Fu JY, Williams SM, Merialdi M, Jacobsson B, Lye S, Menon R, Pennell CE. The Role of Genetics in Preterm Birth. Reprod Sci 2023; 30:3410-3427. [PMID: 37450251 PMCID: PMC10692032 DOI: 10.1007/s43032-023-01287-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/09/2023] [Indexed: 07/18/2023]
Abstract
Preterm birth (PTB), defined as the birth of a child before 37 completed weeks gestation, affects approximately 11% of live births and is the leading cause of death in children under 5 years. PTB is a complex disease with multiple risk factors including genetic variation. Much research has aimed to establish the biological mechanisms underlying PTB often through identification of genetic markers for PTB risk. The objective of this review is to present a comprehensive and updated summary of the published data relating to the field of PTB genetics. A literature search in PubMed was conducted and English studies related to PTB genetics were included. Genetic studies have identified genes within inflammatory, immunological, tissue remodeling, endocrine, metabolic, and vascular pathways that may be involved in PTB. However, a substantial proportion of published data have been largely inconclusive and multiple studies had limited power to detect associations. On the contrary, a few large hypothesis-free approaches have identified and replicated multiple novel variants associated with PTB in different cohorts. Overall, attempts to predict PTB using single "-omics" datasets including genomic, transcriptomic, and epigenomic biomarkers have been mostly unsuccessful and have failed to translate to the clinical setting. Integration of data from multiple "-omics" datasets has yielded the most promising results.
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Affiliation(s)
- Elyse C Mead
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
| | - Carol A Wang
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, 2305, Australia
| | - Jason Phung
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, 2305, Australia
- Department of Maternity and Gynaecology, John Hunter Hospital, Newcastle, NSW, 2305, Australia
| | - Joanna Yx Fu
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
| | - Scott M Williams
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Mario Merialdi
- Maternal Newborn Health Innovations, Geneva, PBC, Switzerland
| | - Bo Jacobsson
- Department of Obstetrics and Gynaecology, Institute of Clinical Science, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Obstetrics and Gynaecology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalization, Institute of Public Health, Oslo, Norway
| | - Stephen Lye
- Lunenfeld Tanenbaum Research Institute, Toronto, Ontario, Canada
| | - Ramkumar Menon
- Department of Obstetrics and Gynecology, Division of Basic Science and Translational Research, University of Texas Medical Branch, Galveston, TX, USA
| | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia.
- Hunter Medical Research Institute, Newcastle, NSW, 2305, Australia.
- Department of Maternity and Gynaecology, John Hunter Hospital, Newcastle, NSW, 2305, Australia.
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Kobayashi S, Sata F, Kishi R. Gene-environment interactions related to maternal exposure to environmental and lifestyle-related chemicals during pregnancy and the resulting adverse fetal growth: a review. Environ Health Prev Med 2022; 27:24. [PMID: 35675978 PMCID: PMC9251623 DOI: 10.1265/ehpm.21-00033] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Background There are only limited numbers of reviews on the association of maternal-child genetic polymorphisms and environmental and lifestyle-related chemical exposure during pregnancy with adverse fetal growth. Thus, this article aims to review: (1) the effect of associations between the above highlighted factors on adverse fetal growth and (2) recent birth cohort studies regarding environmental health risks. Methods Based on a search of the PubMed database through August 2021, 68 epidemiological studies on gene-environment interactions, focusing on the association between environmental and lifestyle-related chemical exposure and adverse fetal growth was identified. Moreover, we also reviewed recent worldwide birth cohort studies regarding environmental health risks. Results Thirty studies examined gene-smoking associations with adverse fetal growth. Sixteen maternal genes significantly modified the association between maternal smoking and adverse fetal growth. Two genes significantly related with this association were detected in infants. Moreover, the maternal genes that significantly interacted with maternal smoking during pregnancy were cytochrome P450 1A1 (CYP1A1), X-ray repair cross-complementing protein 3 (XRCC3), interleukin 6 (IL6), interleukin 1 beta (IL1B), human leukocyte antigen (HLA) DQ alpha 1 (HLA-DQA1), HLA DQ beta 1 (HLA-DQB1), and nicotinic acetylcholine receptor. Fetal genes that had significant interactions with maternal smoking during pregnancy were glutathione S-transferase theta 1 (GSTT1) and fat mass and obesity-associated protein (FTO). Thirty-eight studies examined the association between chemical exposures and adverse fetal growth. In 62 of the 68 epidemiological studies (91.2%), a significant association was found with adverse fetal growth. Across the studies, there was a wide variation in the analytical methods used, especially with respect to the genetic polymorphisms of interest, environmental and lifestyle-related chemicals examined, and the study design used to estimate the gene-environment interactions. It was also found that a consistently increasing number of European and worldwide large-scale birth cohort studies on environmental health risks have been conducted since approximately 1996. Conclusion There is some evidence to suggest the importance of gene-environment interactions on adverse fetal growth. The current knowledge on gene-environment interactions will help guide future studies on the combined effects of maternal-child genetic polymorphisms and exposure to environmental and lifestyle-related chemicals during pregnancy. Supplementary information The online version contains supplementary material available at https://doi.org/10.1265/ehpm.21-00033.
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Affiliation(s)
| | - Fumihiro Sata
- Center for Environmental and Health Sciences, Hokkaido University.,Health Center, Chuo University
| | - Reiko Kishi
- Center for Environmental and Health Sciences, Hokkaido University
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3
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Gaining a deeper understanding of social determinants of preterm birth by integrating multi-omics data. Pediatr Res 2021; 89:336-343. [PMID: 33188285 PMCID: PMC7898277 DOI: 10.1038/s41390-020-01266-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/13/2020] [Accepted: 10/20/2020] [Indexed: 12/14/2022]
Abstract
In the US, high rates of preterm birth (PTB) and profound Black-White disparities in PTB have persisted for decades. This review focuses on the role of social determinants of health (SDH), with an emphasis on maternal stress, in PTB disparity and biological embedding. It covers: (1) PTB disparity in US Black women and possible contributors; (2) the role of SDH, highlighting maternal stress, in the persistent racial disparity of PTB; (3) epigenetics at the interface between genes and environment; (4) the role of the genome in modifying maternal stress-PTB associations; (5) recent advances in multi-omics studies of PTB; and (6) future perspectives on integrating multi-omics with SDH to elucidate the Black-White disparity in PTB. Available studies have indicated that neither environmental exposures nor genetics alone can adequately explain the Black-White PTB disparity. Preliminary yet promising findings of epigenetic and gene-environment interaction studies underscore the value of integrating SDH with multi-omics in prospective birth cohort studies, especially among high-risk Black women. In an era of rapid advancements in biomedical sciences and technologies and a growing number of prospective birth cohort studies, we have unprecedented opportunities to advance this field and finally address the long history of health disparities in PTB. IMPACT: This review provides an overview of social determinants of health (SDH) with a focus on maternal stress and its role on Black-White disparity in preterm birth (PTB). It summarizes the available literature on the interplay of maternal stress with key biological layers (e.g., individual genome and epigenome in response to environmental stressors) and significant knowledge gaps. It offers perspectives that such knowledge may provide deeper insight into how SDH affects PTB and why some women are more vulnerable than others and underscores the critical need for integrating SDH with multi-omics in prospective birth cohort studies, especially among high-risk Black women.
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Secondary Genome-Wide Association Study Using Novel Analytical Strategies Disentangle Genetic Components of Cleft Lip and/or Cleft Palate in 1q32.2. Genes (Basel) 2020; 11:genes11111280. [PMID: 33137956 PMCID: PMC7693579 DOI: 10.3390/genes11111280] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 10/22/2020] [Accepted: 10/26/2020] [Indexed: 01/26/2023] Open
Abstract
Orofacial cleft (OFC) is one of the most prevalent birth defects, leading to substantial and long-term burdens in a newborn's quality of life. Although studies revealed several genetic variants associated with the birth defect, novel approaches may provide additional clues about its etiology. Using the Center for Craniofacial and Dental Genetics project data (n = 10,542), we performed linear mixed-model analyses to study the genetic compositions of OFC and investigated the dependence among identified loci using conditional analyses. To identify genes associated with OFC, we conducted a transcriptome-wide association study (TWAS) based on predicted expression levels. In addition to confirming the previous findings at four loci, 1q32.2, 8q24, 2p24.2 and 17p13.1, we untwined two independent loci at 1q32.2, TRAF3IP3 and IRF6. The sentinel SNP in TRAF3IP3 (rs2235370, p-value = 5.15 × 10-9) was independent of the sentinel SNP at IRF6 (rs2235373, r2 < 0.3). We found that the IRF6 effect became nonsignificant once the 8q24 effect was conditioned, while the TRAF3IP3 effect remained significant. Furthermore, we identified nine genes associated with OFC in TWAS, implicating a glutathione synthesis and drug detoxification pathway. We identified some meaningful additions to the OFC etiology using novel statistical methods in the existing data.
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Miranda RA, Gaspar de Moura E, Lisboa PC. Tobacco smoking during breastfeeding increases the risk of developing metabolic syndrome in adulthood: Lessons from experimental models. Food Chem Toxicol 2020; 144:111623. [PMID: 32738371 DOI: 10.1016/j.fct.2020.111623] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/01/2020] [Accepted: 07/13/2020] [Indexed: 12/11/2022]
Abstract
Metabolic syndrome (MetS) is characterized by increased abdominal fat, dyslipidemia, diabetes mellitus and hypertension. A high MetS prevalence is strongly associated with obesity. Obesity is a public health problem in which several complex factors have been implicated, including environmental pollutants. For instance, maternal smoking seems to play a role in obesogenesis in childhood. Given the association between endocrine disruptors, obesity and metabolic programming, over the past 10 years, our research group has contributed to studies based on the hypothesis that early exposure to nicotine/tobacco causes offspring to become MetS-prone. The mechanism by which tobacco smoking during breastfeeding induces metabolic dysfunctions is not completely understood; however, increased metabolic programming has been shown in studies that focus on this topic. Here, we reviewed the literature mainly based in light of our latest data from experimental models. Nicotine or tobacco exposure during breastfeeding induces several endocrine dysfunctions in a sex- and tissue-specific manner. This review provides an updated summary regarding the hypothesis that early exposure to nicotine/tobacco causes offspring to become MetS-prone. An understanding of this issue can provide support to prevent long-term disorders, mainly related to the risk of obesity and its comorbidities, in future generations.
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Affiliation(s)
- Rosiane A Miranda
- Laboratory of Endocrine Physiology, Department of Physiological Sciences, Roberto Alcantara Gomes Biology Institute, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil
| | - Egberto Gaspar de Moura
- Laboratory of Endocrine Physiology, Department of Physiological Sciences, Roberto Alcantara Gomes Biology Institute, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil
| | - Patrícia Cristina Lisboa
- Laboratory of Endocrine Physiology, Department of Physiological Sciences, Roberto Alcantara Gomes Biology Institute, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil.
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Wadon M, Modi N, Wong HS, Thapar A, O'Donovan MC. Recent advances in the genetics of preterm birth. Ann Hum Genet 2019; 84:205-213. [PMID: 31853956 PMCID: PMC7187167 DOI: 10.1111/ahg.12373] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 11/20/2019] [Accepted: 11/20/2019] [Indexed: 02/06/2023]
Abstract
Preterm birth is associated with short- and long-term impairments affecting physical, cognitive, and neuropsychiatric health. These sequelae, together with a rising preterm birth rate and increased survival, make prematurity a growing public health issue because of the increased number of individuals with impaired health throughout the life span. Although a major contribution to preterm birth comes from environmental factors, it is also modestly heritable. Little is known about the architecture of this genetic contribution. Studies of common and of rare genetic variation have had limited power, but recent findings implicate variation in both the maternal and fetal genome. There is some evidence risk alleles in mothers may be enriched for processes related to immunity and inflammation, and in the preterm infant, processes related to brain development. Overall genomic discoveries for preterm birth lag behind progress for many other multifactorial diseases and traits. Investigations focusing on gene-environment interactions may also provide insights, but these studies still have a number of limitations. Adequately sized genetic studies of preterm birth are a priority for the future especially given the breadth of its negative health impacts across the life span and the current interest in newborn genome sequencing.
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Affiliation(s)
- Megan Wadon
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, Wales
| | - Neena Modi
- Section of Neonatal Medicine, Department of Medicine, Chelsea and Westminster Hospital Campus, Imperial College, London, United Kingdom
| | - Hilary S Wong
- Department of Paediatrics, University of Cambridge, Cambridge, United Kingdom
| | - Anita Thapar
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, Wales
| | - Michael C O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, Wales
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7
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Deng L, Lou H, Zhang X, Thiruvahindrapuram B, Lu D, Marshall CR, Liu C, Xie B, Xu W, Wong LP, Yew CW, Farhang A, Ong RTH, Hoque MZ, Thuhairah AR, Jong B, Phipps ME, Scherer SW, Teo YY, Kumar SV, Hoh BP, Xu S. Analysis of five deep-sequenced trio-genomes of the Peninsular Malaysia Orang Asli and North Borneo populations. BMC Genomics 2019; 20:842. [PMID: 31718558 PMCID: PMC6852992 DOI: 10.1186/s12864-019-6226-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 10/25/2019] [Indexed: 12/18/2022] Open
Abstract
Background Recent advances in genomic technologies have facilitated genome-wide investigation of human genetic variations. However, most efforts have focused on the major populations, yet trio genomes of indigenous populations from Southeast Asia have been under-investigated. Results We analyzed the whole-genome deep sequencing data (~ 30×) of five native trios from Peninsular Malaysia and North Borneo, and characterized the genomic variants, including single nucleotide variants (SNVs), small insertions and deletions (indels) and copy number variants (CNVs). We discovered approximately 6.9 million SNVs, 1.2 million indels, and 9000 CNVs in the 15 samples, of which 2.7% SNVs, 2.3% indels and 22% CNVs were novel, implying the insufficient coverage of population diversity in existing databases. We identified a higher proportion of novel variants in the Orang Asli (OA) samples, i.e., the indigenous people from Peninsular Malaysia, than that of the North Bornean (NB) samples, likely due to more complex demographic history and long-time isolation of the OA groups. We used the pedigree information to identify de novo variants and estimated the autosomal mutation rates to be 0.81 × 10− 8 – 1.33 × 10− 8, 1.0 × 10− 9 – 2.9 × 10− 9, and ~ 0.001 per site per generation for SNVs, indels, and CNVs, respectively. The trio-genomes also allowed for haplotype phasing with high accuracy, which serves as references to the future genomic studies of OA and NB populations. In addition, high-frequency inherited CNVs specific to OA or NB were identified. One example is a 50-kb duplication in DEFA1B detected only in the Negrito trios, implying plausible effects on host defense against the exposure of diverse microbial in tropical rainforest environment of these hunter-gatherers. The CNVs shared between OA and NB groups were much fewer than those specific to each group. Nevertheless, we identified a 142-kb duplication in AMY1A in all the 15 samples, and this gene is associated with the high-starch diet. Moreover, novel insertions shared with archaic hominids were identified in our samples. Conclusion Our study presents a full catalogue of the genome variants of the native Malaysian populations, which is a complement of the genome diversity in Southeast Asians. It implies specific population history of the native inhabitants, and demonstrated the necessity of more genome sequencing efforts on the multi-ethnic native groups of Malaysia and Southeast Asia.
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Affiliation(s)
- Lian Deng
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Haiyi Lou
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xiaoxi Zhang
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | | | - Dongsheng Lu
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Christian R Marshall
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.,Genome Diagnostics, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.,Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Chang Liu
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Bo Xie
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Wanxing Xu
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Lai-Ping Wong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117597, Singapore
| | - Chee-Wei Yew
- Biotechnology Research Institute, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia
| | - Aghakhanian Farhang
- Jefrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Sunway, 46150, Subang Jaya, Selangor, Malaysia.,Tropical Medicine and Biology Platform, Monash University Malaysia, Jalan Lagoon Selatan, 46150 Sunway, Subang Jaya, Selangor, Malaysia
| | - Rick Twee-Hee Ong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117597, Singapore
| | - Mohammad Zahirul Hoque
- Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia
| | - Abdul Rahman Thuhairah
- Clinical Pathology Diagnostic Centre Research Laboratory, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, 47000 Sg Buloh, Subang Jaya, Selangor, Malaysia
| | - Bhak Jong
- Personal Genomics Institute, Genome Research Foundation, Suwon, Republic of Korea.,Geromics, Ulsan, 44919, Republic of Korea.,Biomedical Engineering Department, The Genomics Institute, UNIST, Ulsan, Republic of Korea
| | - Maude E Phipps
- Tropical Medicine and Biology Platform, Monash University Malaysia, Jalan Lagoon Selatan, 46150 Sunway, Subang Jaya, Selangor, Malaysia
| | - Stephen W Scherer
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada.,Genome Diagnostics, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.,Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117597, Singapore.,NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, 117456, Singapore.,Life Sciences Institute, National University of Singapore, Singapore, Singapore.,Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore.,Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore
| | - Subbiah Vijay Kumar
- Biotechnology Research Institute, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia.
| | - Boon-Peng Hoh
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China. .,Faculty of Medicine and Health Sciences, UCSI University, Jalan Menara Gading, Taman Connaught, Cheras, 56000, Kuala Lumpur, Malaysia.
| | - Shuhua Xu
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China. .,School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China. .,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China. .,Collaborative Innovation Center of Genetics and Development, Shanghai, 200438, China. .,Human Phenome Institute, Fudan University, Shanghai, 201203, China.
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Tan Q, Li S, Frost M, Nygaard M, Soerensen M, Larsen M, Christensen K, Christiansen L. Epigenetic signature of preterm birth in adult twins. Clin Epigenetics 2018; 10:87. [PMID: 29983834 PMCID: PMC6020425 DOI: 10.1186/s13148-018-0518-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 06/11/2018] [Indexed: 11/29/2022] Open
Abstract
Background Preterm birth is a leading cause of perinatal mortality and long-term health consequences. Epigenetic mechanisms may have been at play in preterm birth survivors, and these could be persistent and detrimental to health later in life. Methods We performed a genome-wide DNA methylation profiling in adult twins of premature birth to identify genomic regions under differential epigenetic regulation in 144 twins with a median age of 33 years (age range 30-36). Results Association analysis detected three genomic regions annotated to the SDHAP3, TAGLN3 and GSTT1 genes on chromosomes 5, 3 and 22 (FWER: 0.01, 0.02 and 0.04) respectively. These genes display strong involvement in neurodevelopmental disorders, cancer susceptibility and premature delivery. The three identified significant regions were successfully replicated in an independent sample of twins of even older age (median age 66, range 56-80) with similar regulatory patterns and nominal p values < 5.05e-04. Biological pathway analysis detected five significantly enriched pathways all explicitly involved in immune responses. Conclusion We have found novel evidence associating premature delivery with epigenetic modification of important genes/pathways and revealed that preterm birth, as an early life event, could be related to differential methylation regulation patterns observable in adults and even at high ages which could potentially mediate susceptibility to age-related diseases and adult health.
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Affiliation(s)
- Qihua Tan
- Epidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000 Odense, Denmark
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Shuxia Li
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Morten Frost
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
| | - Marianne Nygaard
- Epidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000 Odense, Denmark
| | - Mette Soerensen
- Epidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000 Odense, Denmark
| | - Martin Larsen
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Kaare Christensen
- Epidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000 Odense, Denmark
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Lene Christiansen
- Epidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000 Odense, Denmark
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9
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Lamichhane DK, Leem JH, Park CS, Ha M, Ha EH, Kim HC, Lee JY, Ko JK, Kim Y, Hong YC. Associations between prenatal lead exposure and birth outcomes: Modification by sex and GSTM1/GSTT1 polymorphism. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 619-620:176-184. [PMID: 29145054 DOI: 10.1016/j.scitotenv.2017.09.159] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2017] [Revised: 09/14/2017] [Accepted: 09/16/2017] [Indexed: 06/07/2023]
Abstract
Maternal lead exposure is associated with poor birth outcomes. However, modifying effects of polymorphism in glutathione S-transferases (GST) gene and infant sex remain unexplored. Our aim was to evaluate whether associations between prenatal lead and birth outcomes differed by maternal GST genes and infant sex. Prospective data of 782 mother-child pairs from Mothers and Children's Environmental Health (MOCEH) study were used. The genotyping of GST-mu 1 (GSTM1) and theta-1 (GSTT1) polymorphisms was carried out using polymerase chain reaction. Multivariable linear regression was used to examine whether the association between blood lead (BPb) level and birth outcomes (birthweight, length, and head circumference) varied by maternal GST genes and sex. We did not find a statistically significant association between prenatal BPb levels and birth outcomes; in stratified analyses, the association between higher BPb level during early pregnancy and lower birthweight (β=-224 per square root increase in BPb; 95% confidence interval (CI): -426, -21; false discovery rate p=0.036) was significant in males of mothers with GSTM1 null. Results were similar for head circumference model (β=-0.78 per square root increase in BPb; 95% CI: -1.69, 0.14, p=0.095), but the level of significance was borderline. Head circumference model showed a significant three-way interaction among BPb during early pregnancy, GSTM1, and sex (p=0.046). For combined analysis with GSTM1 and GSTT1, GSTM1 null and GSTT1 present group showed a significant inverse association of BPb with birthweight and head circumference in males. Our findings of the most evident effects of BPb on the reduced birthweight and head circumference in male born to the mother with GSTM1 null may suggest a biological interaction among lead, GST genes and sex in detoxification process during fetal development.
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Affiliation(s)
- Dirga Kumar Lamichhane
- Department of Social and Preventive Medicine, College of Medicine, Inha University, Incheon, Republic of Korea
| | - Jong-Han Leem
- Department of Social and Preventive Medicine, College of Medicine, Inha University, Incheon, Republic of Korea; Department of Occupational and Environmental Medicine, Inha University Hospital, Incheon, Republic of Korea.
| | - Chang-Shin Park
- Department of Pharmacology, College of Medicine, Inha University, Incheon, Republic of Korea
| | - Mina Ha
- Department of Preventive Medicine, College of Medicine, Dankook University, Cheonan, Republic of Korea
| | - Eun-Hee Ha
- Department of Preventive Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Hwan-Cheol Kim
- Department of Social and Preventive Medicine, College of Medicine, Inha University, Incheon, Republic of Korea; Department of Occupational and Environmental Medicine, Inha University Hospital, Incheon, Republic of Korea
| | - Ji-Young Lee
- Department of Preventive Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Jung Keun Ko
- Department of Social and Preventive Medicine, College of Medicine, Inha University, Incheon, Republic of Korea
| | - Yangho Kim
- Department of Occupational and Environmental Medicine, University of Ulsan, College of Medicine, Ulsan University Hospital, Ulsan, Republic of Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea
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10
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Strauss JF, Romero R, Gomez-Lopez N, Haymond-Thornburg H, Modi BP, Teves ME, Pearson LN, York TP, Schenkein HA. Spontaneous preterm birth: advances toward the discovery of genetic predisposition. Am J Obstet Gynecol 2018; 218:294-314.e2. [PMID: 29248470 PMCID: PMC5834399 DOI: 10.1016/j.ajog.2017.12.009] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 12/04/2017] [Accepted: 12/06/2017] [Indexed: 02/08/2023]
Abstract
Evidence from family and twin-based studies provide strong support for a significant contribution of maternal and fetal genetics to the timing of parturition and spontaneous preterm birth. However, there has been only modest success in the discovery of genes predisposing to preterm birth, despite increasing sophistication of genetic and genomic technology. In contrast, DNA variants associated with other traits/diseases have been identified. For example, there is overwhelming evidence that suggests that the nature and intensity of an inflammatory response in adults and children are under genetic control. Because inflammation is often invoked as an etiologic factor in spontaneous preterm birth, the question of whether spontaneous preterm birth has a genetic predisposition in the case of pathologic inflammation has been of long-standing interest to investigators. Here, we review various genetic approaches used for the discovery of preterm birth genetic variants in the context of inflammation-associated spontaneous preterm birth. Candidate gene studies have sought genetic variants that regulate inflammation in the mother and fetus; however, the promising findings have often not been replicated. Genome-wide association studies, an approach to the identification of chromosomal loci responsible for complex traits, have also not yielded compelling evidence for DNA variants predisposing to preterm birth. A recent genome-wide association study that included a large number of White women (>40,000) revealed that maternal loci contribute to preterm birth. Although none of these loci harbored genes directly related to innate immunity, the results were replicated. Another approach to identify DNA variants predisposing to preterm birth is whole exome sequencing, which examines the DNA sequence of protein-coding regions of the genome. A recent whole exome sequencing study identified rare mutations in genes encoding for proteins involved in the negative regulation (dampening) of the innate immune response (eg, CARD6, CARD8, NLRP10, NLRP12, NOD2, TLR10) and antimicrobial peptide/proteins (eg, DEFB1, MBL2). These findings support the concept that preterm labor, at least in part, has an inflammatory etiology, which can be induced by pathogens (ie, intraamniotic infection) or "danger signals" (alarmins) released during cellular stress or necrosis (ie, sterile intraamniotic inflammation). These findings support the notion that preterm birth has a polygenic basis that involves rare mutations or damaging variants in multiple genes involved in innate immunity and host defense mechanisms against microbes and their noxious products. An overlap among the whole exome sequencing-identified genes and other inflammatory conditions associated with preterm birth, such as periodontal disease and inflammatory bowel disease, was observed, which suggests a shared genetic substrate for these conditions. We propose that whole exome sequencing, as well as whole genome sequencing, is the most promising approach for the identification of functionally significant genetic variants responsible for spontaneous preterm birth, at least in the context of pathologic inflammation. The identification of genes that contribute to preterm birth by whole exome sequencing, or whole genome sequencing, promises to yield valuable population-specific biomarkers to identify the risk for spontaneous preterm birth and potential strategies to mitigate such a risk.
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Affiliation(s)
- Jerome F Strauss
- Department of Obstetrics and Gynecology, Virginia Commonwealth University School of Medicine, Richmond, VA; Department of Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA.
| | - Roberto Romero
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute for Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD and Detroit, MI; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI.
| | - Nardhy Gomez-Lopez
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute for Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD and Detroit, MI; Department of Obstetrics and Gynecology and the Department of Immunology, Microbiology and Biochemistry, Wayne State University School of Medicine, Detroit, MI
| | - Hannah Haymond-Thornburg
- Department of Obstetrics and Gynecology, Virginia Commonwealth University School of Medicine, Richmond, VA
| | - Bhavi P Modi
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada
| | - Maria E Teves
- Department of Obstetrics and Gynecology, Virginia Commonwealth University School of Medicine, Richmond, VA
| | - Laurel N Pearson
- Department of Anthropology, Pennsylvania State University, University Park, PA
| | - Timothy P York
- Department of Obstetrics and Gynecology, Virginia Commonwealth University School of Medicine, Richmond, VA; Department of Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA
| | - Harvey A Schenkein
- Department of Periodontics, Virginia Commonwealth University School of Dentistry, Richmond, VA
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11
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Kobayashi S, Sata F, Sasaki S, Braimoh TS, Araki A, Miyashita C, Goudarzi H, Kobayashi S, Kishi R. Modification of adverse health effects of maternal active and passive smoking by genetic susceptibility: Dose-dependent association of plasma cotinine with infant birth size among Japanese women-The Hokkaido Study. Reprod Toxicol 2017; 74:94-103. [PMID: 28893607 DOI: 10.1016/j.reprotox.2017.09.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2017] [Revised: 09/05/2017] [Accepted: 09/07/2017] [Indexed: 12/27/2022]
Abstract
OBJECTIVES We aimed to assess the individual dose-response effects of eight maternal polymorphisms encoding polycyclic aromatic hydrocarbon-metabolizing and DNA-repair genes on prenatal cotinine levels according to infant birth size. METHODS In total, 3263 Japanese pregnant women were assigned to five groups based on plasma cotinine levels during the 8th month of pregnancy, as measured using ELISA (cut-offs: 0.21, 0.55, 11.48, and 101.67ng/mL). Analyses were performed using multiple linear regression. RESULTS Birth weight reduction showed a dose-dependent relationship with prenatal cotinine levels (P for trend<0.001). When considering the specific aromatic hydrocarbon receptor (AHR) (G>A, Arg554Lys; db SNP ID: rs2066853) and X-ray cross-complementing gene 1 (XRCC1) (C>T, Arg194Trp, rs1799782) genotypes, a larger birth weight reduction was noted among infants born to mothers with the highest cotinine level. CONCLUSION Infants born to women with specific AHR and XRCC1 genotypes may have higher genetic risks for birth weight reduction.
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Affiliation(s)
- Sumitaka Kobayashi
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo, Hokkaido 060-0812, Japan; Department of Public Health Sciences, Hokkaido University Graduate School of Medicine, North-15, West-7, Kita-ku, Sapporo, Hokkaido 060-8638, Japan
| | - Fumihiro Sata
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo, Hokkaido 060-0812, Japan; Health Center, Chuo University, 42-8, Ichigaya-Hommura-cho, Shinjuku-ku, Tokyo 162-8473, Japan
| | - Seiko Sasaki
- Department of Public Health Sciences, Hokkaido University Graduate School of Medicine, North-15, West-7, Kita-ku, Sapporo, Hokkaido 060-8638, Japan
| | - Titilola Serifat Braimoh
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo, Hokkaido 060-0812, Japan; Department of Public Health Sciences, Hokkaido University Graduate School of Medicine, North-15, West-7, Kita-ku, Sapporo, Hokkaido 060-8638, Japan
| | - Atsuko Araki
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo, Hokkaido 060-0812, Japan
| | - Chihiro Miyashita
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo, Hokkaido 060-0812, Japan
| | - Houman Goudarzi
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo, Hokkaido 060-0812, Japan
| | - Sachiko Kobayashi
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo, Hokkaido 060-0812, Japan
| | - Reiko Kishi
- Center for Environmental and Health Sciences, Hokkaido University, North-12, West-7, Kita-ku, Sapporo, Hokkaido 060-0812, Japan.
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12
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Zhao X, Dong X, Luo X, Pan J, Ju W, Zhang M, Wang P, Zhong M, Yu Y, Brown WT, Zhong N. Ubiquitin-Proteasome-Collagen (CUP) Pathway in Preterm Premature Rupture of Fetal Membranes. Front Pharmacol 2017. [PMID: 28626423 PMCID: PMC5455099 DOI: 10.3389/fphar.2017.00310] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Spontaneous preterm birth (sPTB) occurs before 37 gestational weeks, with preterm premature rupture of the membranes (PPROM) and spontaneous preterm labor (sPTL) as the predominant adverse outcomes. Previously, we identified altered expression of long non-coding RNAs (lncRNAs) and message RNAs (mRNAs) related to the ubiquitin proteasome system (UPS) in human placentas following pregnancy loss and PTB. We therefore hypothesized that similar mechanisms might underlie PPROM. In the current study, nine pairs of ubiquitin-proteasome-collagen (CUP) pathway–related mRNAs and associated lncRNAs were found to be differentially expressed in PPROM and sPTL. Pathway analysis showed that the functions of their protein products were inter-connected by ring finger protein. Twenty variants including five mutations were identified in CUP-related genes in sPTL samples. Copy number variations were found in COL19A1, COL28A1, COL5A1, and UBAP2 of sPTL samples. The results reinforced our previous findings and indicated the association of the CUP pathway with the development of sPTL and PPROM. This association was due not only to the genetic variation, but also to the epigenetic regulatory function of lncRNAs. Furthermore, the findings suggested that the loss of collagen content in PPROM could result from degradation and/or suppressed expression of collagens.
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Affiliation(s)
- Xinliang Zhao
- Lianyungang Maternal and Children's HospitalLianyungang, China.,Peking University Center of Medical Genetics, Peking University Health Science CenterBeijing, China.,China Alliance of Translational Medicine for Maternal and Children's HealthBeijing, China
| | - Xiaoyan Dong
- Shanghai Children's Hospital, Shanghai Jiaotong University School of MedicineShanghai, China
| | - Xiucui Luo
- Lianyungang Maternal and Children's HospitalLianyungang, China.,China Alliance of Translational Medicine for Maternal and Children's HealthBeijing, China
| | - Jing Pan
- Lianyungang Maternal and Children's HospitalLianyungang, China.,China Alliance of Translational Medicine for Maternal and Children's HealthBeijing, China
| | - Weina Ju
- New York State Institute for Basic Research in Developmental DisabilitiesStaten Island, NY, United States.,China-US Center of Translational Medicine for Maternal and Children's Health, Southern Medical UniversityGuangzhou, China
| | - Meijiao Zhang
- Lianyungang Maternal and Children's HospitalLianyungang, China
| | - Peirong Wang
- Lianyungang Maternal and Children's HospitalLianyungang, China.,Peking University Center of Medical Genetics, Peking University Health Science CenterBeijing, China.,China Alliance of Translational Medicine for Maternal and Children's HealthBeijing, China
| | - Mei Zhong
- China-US Center of Translational Medicine for Maternal and Children's Health, Southern Medical UniversityGuangzhou, China.,Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical UniversityGuangzhou, China
| | - Yanhong Yu
- China-US Center of Translational Medicine for Maternal and Children's Health, Southern Medical UniversityGuangzhou, China.,Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical UniversityGuangzhou, China
| | - W Ted Brown
- New York State Institute for Basic Research in Developmental DisabilitiesStaten Island, NY, United States.,China-US Center of Translational Medicine for Maternal and Children's Health, Southern Medical UniversityGuangzhou, China
| | - Nanbert Zhong
- Lianyungang Maternal and Children's HospitalLianyungang, China.,Peking University Center of Medical Genetics, Peking University Health Science CenterBeijing, China.,China Alliance of Translational Medicine for Maternal and Children's HealthBeijing, China.,Shanghai Children's Hospital, Shanghai Jiaotong University School of MedicineShanghai, China.,New York State Institute for Basic Research in Developmental DisabilitiesStaten Island, NY, United States.,China-US Center of Translational Medicine for Maternal and Children's Health, Southern Medical UniversityGuangzhou, China.,Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical UniversityGuangzhou, China
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13
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Sheikh IA, Ahmad E, Jamal MS, Rehan M, Assidi M, Tayubi IA, AlBasri SF, Bajouh OS, Turki RF, Abuzenadah AM, Damanhouri GA, Beg MA, Al-Qahtani M. Spontaneous preterm birth and single nucleotide gene polymorphisms: a recent update. BMC Genomics 2016; 17:759. [PMID: 27766960 PMCID: PMC5073925 DOI: 10.1186/s12864-016-3089-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Background Preterm birth (PTB), birth at <37 weeks of gestation, is a significant global public health problem. World-wide, about 15 million babies are born preterm each year resulting in more than a million deaths of children. Preterm neonates are more prone to problems and need intensive care hospitalization. Health issues may persist through early adulthood and even be carried on to the next generation. Majority (70 %) of PTBs are spontaneous with about a half without any apparent cause and the other half associated with a number of risk factors. Genetic factors are one of the significant risks for PTB. The focus of this review is on single nucleotide gene polymorphisms (SNPs) that are reported to be associated with PTB. Results A comprehensive evaluation of studies on SNPs known to confer potential risk of PTB was done by performing a targeted PubMed search for the years 2007–2015 and systematically reviewing all relevant studies. Evaluation of 92 studies identified 119 candidate genes with SNPs that had potential association with PTB. The genes were associated with functions of a wide spectrum of tissue and cell types such as endocrine, tissue remodeling, vascular, metabolic, and immune and inflammatory systems. Conclusions A number of potential functional candidate gene variants have been reported that predispose women for PTB. Understanding the complex genomic landscape of PTB needs high-throughput genome sequencing methods such as whole-exome sequencing and whole-genome sequencing approaches that will significantly enhance the understanding of PTB. Identification of high risk women, avoidance of possible risk factors, and provision of personalized health care are important to manage PTB. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3089-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ishfaq A Sheikh
- King Fahd Medical Research Center, King Abdulaziz University, PO Box 80216, Jeddah, 21589, Saudi Arabia
| | - Ejaz Ahmad
- King Fahd Medical Research Center, King Abdulaziz University, PO Box 80216, Jeddah, 21589, Saudi Arabia
| | - Mohammad S Jamal
- King Fahd Medical Research Center, King Abdulaziz University, PO Box 80216, Jeddah, 21589, Saudi Arabia
| | - Mohd Rehan
- King Fahd Medical Research Center, King Abdulaziz University, PO Box 80216, Jeddah, 21589, Saudi Arabia
| | - Mourad Assidi
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Iftikhar A Tayubi
- Faculty of Computing and Information Technology, King Abdulaziz University, Rabigh, Saudi Arabia
| | - Samera F AlBasri
- Department of Obstetrics and Gynecology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Osama S Bajouh
- Department of Obstetrics and Gynecology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Rola F Turki
- Department of Obstetrics and Gynecology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.,KACST Innovation Center in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Adel M Abuzenadah
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia.,KACST Innovation Center in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Ghazi A Damanhouri
- King Fahd Medical Research Center, King Abdulaziz University, PO Box 80216, Jeddah, 21589, Saudi Arabia
| | - Mohd A Beg
- King Fahd Medical Research Center, King Abdulaziz University, PO Box 80216, Jeddah, 21589, Saudi Arabia.
| | - Mohammed Al-Qahtani
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
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14
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Liu Y, Tang YB, Chen J, Huang ZX. Meta-analysis of GSTT1 null genotype and preterm delivery risk. Int J Clin Exp Med 2014; 7:1537-1541. [PMID: 25035777 PMCID: PMC4100963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2014] [Accepted: 04/30/2014] [Indexed: 06/03/2023]
Abstract
Glutathione S-transferase T1 (GSTT1) null genotype has been indicated to be correlated with preterm delivery (PTD) susceptibility, but study results were still debatable. Thus, a meta-analysis was conducted. PubMed, EMBASE, and CNKI were searched. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to calculate the strength of association in the random-effects model or fixed-effects model. Nine case-control studies with a total of 2526 cases and 4565 controls were eligible. The null genotype of GSTT1 was associated with a significantly increased risk of PTD when compared with present genotype (OR = 1.18; 95% CI 1.05-1.33; I(2) = 33). In the subgroup analysis according to ethnicity, significantly increased PTD risk was observed in Asians (OR = 1.20; 95% CI 1.01-1.33; I(2) = 0%) but not in Caucasians (OR = 1.32; 95% CI 0.89-1.97; I(2) = 77). This meta-analysis suggested that GSTT1 null genotype may be associated with the risk of PTD.
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Affiliation(s)
- Yi Liu
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Wenzhou Medical University Wenzhou 325000, Zhejiang, China
| | - Yun-Bing Tang
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Wenzhou Medical University Wenzhou 325000, Zhejiang, China
| | - Jie Chen
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Wenzhou Medical University Wenzhou 325000, Zhejiang, China
| | - Zhao-Xia Huang
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Wenzhou Medical University Wenzhou 325000, Zhejiang, China
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