2
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Rappoport N, Toung J, Hadley D, Wong RJ, Fujioka K, Reuter J, Abbott CW, Oh S, Hu D, Eng C, Huntsman S, Bodian DL, Niederhuber JE, Hong X, Zhang G, Sikora-Wohfeld W, Gignoux CR, Wang H, Oehlert J, Jelliffe-Pawlowski LL, Gould JB, Darmstadt GL, Wang X, Bustamante CD, Snyder MP, Ziv E, Patsopoulos NA, Muglia LJ, Burchard E, Shaw GM, O'Brodovich HM, Stevenson DK, Butte AJ, Sirota M. A genome-wide association study identifies only two ancestry specific variants associated with spontaneous preterm birth. Sci Rep 2018; 8:226. [PMID: 29317701 PMCID: PMC5760643 DOI: 10.1038/s41598-017-18246-5] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 12/07/2017] [Indexed: 01/19/2023] Open
Abstract
Preterm birth (PTB), or the delivery prior to 37 weeks of gestation, is a significant cause of infant morbidity and mortality. Although twin studies estimate that maternal genetic contributions account for approximately 30% of the incidence of PTB, and other studies reported fetal gene polymorphism association, to date no consistent associations have been identified. In this study, we performed the largest reported genome-wide association study analysis on 1,349 cases of PTB and 12,595 ancestry-matched controls from the focusing on genomic fetal signals. We tested over 2 million single nucleotide polymorphisms (SNPs) for associations with PTB across five subpopulations: African (AFR), the Americas (AMR), European, South Asian, and East Asian. We identified only two intergenic loci associated with PTB at a genome-wide level of significance: rs17591250 (P = 4.55E-09) on chromosome 1 in the AFR population and rs1979081 (P = 3.72E-08) on chromosome 8 in the AMR group. We have queried several existing replication cohorts and found no support of these associations. We conclude that the fetal genetic contribution to PTB is unlikely due to single common genetic variant, but could be explained by interactions of multiple common variants, or of rare variants affected by environmental influences, all not detectable using a GWAS alone.
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Affiliation(s)
- Nadav Rappoport
- Institute for Computational Health Sciences, University of California, San Francisco, 94143, CA, USA.,Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Jonathan Toung
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Dexter Hadley
- Institute for Computational Health Sciences, University of California, San Francisco, 94143, CA, USA.,Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Ronald J Wong
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Kazumichi Fujioka
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Jason Reuter
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Charles W Abbott
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Sam Oh
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Donglei Hu
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Celeste Eng
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Scott Huntsman
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Dale L Bodian
- Inova Translational Medicine Institute, Inova Health System, Falls Church, VA, USA
| | - John E Niederhuber
- Inova Translational Medicine Institute, Inova Health System, Falls Church, VA, USA.,Department of Population, Family and Reproductive Health, Center on the Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xiumei Hong
- Department of Population, Family and Reproductive Health, Center on the Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ge Zhang
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | | | | | - Hui Wang
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - John Oehlert
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Jeffrey B Gould
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Gary L Darmstadt
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiaobin Wang
- Department of Population, Family and Reproductive Health, Center on the Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Carlos D Bustamante
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Elad Ziv
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Nikolaos A Patsopoulos
- Systems Biology and Computer Science Program, Ann Romney Center of Neurological Diseases, Department of Neurology, Division of Genetics, Brigham & Women's Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Louis J Muglia
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Esteban Burchard
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Gary M Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Hugh M O'Brodovich
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - David K Stevenson
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Atul J Butte
- Institute for Computational Health Sciences, University of California, San Francisco, 94143, CA, USA. .,Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA. .,Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
| | - Marina Sirota
- Institute for Computational Health Sciences, University of California, San Francisco, 94143, CA, USA. .,Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA. .,Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
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Abstract
Preterm birth is the single leading cause of mortality for neonates and children less than 5 years of age. Compared to other childhood diseases, such as infections, less progress in prevention of prematurity has been made. In large part, the continued high burden of prematurity results from the limited understanding of the mechanisms controlling normal birth timing in humans, and how individual genetic variation and environmental exposures disrupt these mechanisms to cause preterm birth. In this review, we summarize the outcomes and limitations from studies in model organisms for birth timing in humans, the evidence that genetic factors contribute to birth timing and risk for preterm birth, and recent genetic and genomic studies in women and infants that implicate specific genes and pathways. We conclude with discussing areas of potential high impact in understanding human parturition and preterm birth in the future.
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Affiliation(s)
- Nagendra K Monangi
- Division of Neonatology, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 7009, Cincinnati, OH 45229; Center for Prevention of Preterm Birth, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Heather M Brockway
- Center for Prevention of Preterm Birth, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Melissa House
- Division of Neonatology, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 7009, Cincinnati, OH 45229
| | - Ge Zhang
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Louis J Muglia
- Division of Neonatology, Perinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 7009, Cincinnati, OH 45229; Center for Prevention of Preterm Birth, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
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4
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Fernando F, Keijser R, Henneman P, van der Kevie-Kersemaekers AMF, Mannens MM, van der Post JA, Afink GB, Ris-Stalpers C. The idiopathic preterm delivery methylation profile in umbilical cord blood DNA. BMC Genomics 2015; 16:736. [PMID: 26419829 PMCID: PMC4588235 DOI: 10.1186/s12864-015-1915-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 09/09/2015] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Preterm delivery is the leading cause of neonatal morbidity and mortality. Two-thirds of preterm deliveries are idiopathic. The initiating molecular mechanisms behind spontaneous preterm delivery are unclear. Umbilical cord blood DNA samples are an easy source of material to study the neonatal state at birth. DNA methylation changes can be exploited as markers to identify spontaneous preterm delivery. To identify methylation differences specific to idiopathic preterm delivery, we assessed genome-wide DNA methylation changes in 24 umbilical cord blood samples (UCB) using the 450 K Illumina methylation array. After quality control, conclusions were based on 11 term and 11 idiopathic preterm born neonates. The differentially methylated positions (DMPs) specific for preterm/term delivery, neonatal sex, use of oxytocin and mode of initiation of labor were calculated by controlling the FDR p value at 0.05. RESULTS The analysis identifies 1855 statistically significant DMPs between preterm and term deliveries of which 508 DMPs are also attributable to clinical variables other than preterm versus term delivery. 1347 DMPs are unique to term vs preterm delivery, of which 196 DMPs do not relate to gestational age as such. Pathway analysis indicated enrichment of genes involved in calcium signalling, myometrial contraction and relaxation pathways. The 1151 DMPs that correlate with advancing gestational age (p < 0.05) include 161 DMPs that match with two previously reported studies on UCB methylation. Additionally, 123 neonatal sex specific DMPs, 97 DMPs specific to the induction of labour and 42 DMPs specific to the mode of initiation of labor were also identified. CONCLUSION This study identifies 196 DMPs in UCB DNA of neonates which do not relate to gestational age or any other clinical variable recorded and are specific to idiopathic preterm delivery. Furthermore, 161 DMPs from our study overlap with previously reported studies of which a subset is also reported to be differentially methylated at 18 years of age. A DMP on MYL4, encoding myosin light chain 4, is a robust candidate for the identification of idiopathic preterm labour as it is identified by all 3 independent studies.
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Affiliation(s)
- Febilla Fernando
- Reproductive Biology Laboratory, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | - Remco Keijser
- Reproductive Biology Laboratory, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | - Peter Henneman
- Department of Clinical Genetics, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | | | - Marcel Mam Mannens
- Department of Clinical Genetics, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | - Joris Am van der Post
- Women's and Children's Clinic, Department of Obstetrics and Gynaecology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | - Gijs B Afink
- Reproductive Biology Laboratory, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | - Carrie Ris-Stalpers
- Reproductive Biology Laboratory, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. .,Women's and Children's Clinic, Department of Obstetrics and Gynaecology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
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5
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Karjalainen MK, Ojaniemi M, Haapalainen AM, Mahlman M, Salminen A, Huusko JM, Määttä TA, Kaukola T, Anttonen J, Ulvila J, Haataja R, Teramo K, Kingsmore SF, Palotie A, Muglia LJ, Rämet M, Hallman M. CXCR3 Polymorphism and Expression Associate with Spontaneous Preterm Birth. THE JOURNAL OF IMMUNOLOGY 2015. [PMID: 26209629 DOI: 10.4049/jimmunol.1501174] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Spontaneous preterm birth (SPTB) is a major factor associating with deaths and with lowered quality of life in humans. Environmental and genetic factors influence the susceptibility. Previously, by analyzing families with recurrent SPTB in linkage analysis, we identified a linkage peak close to the gene encoding CXCR3. Present objectives were to investigate the association of CXCR3 with SPTB in Finnish mothers (n = 443) and infants (n = 747), to analyze CXCR3 expression levels in human placenta and levels of its ligands in umbilical cord blood, and to verify the influence of Cxcr3 on SPTB-associating cytokines in mice. We detected an association between an intronic CXCR3 polymorphism, rs2280964, and SPTB in infants from families with recurrent preterm births (p = 0.009 versus term controls, odds ratio 0.52, 95% confidence interval 0.32-0.86). The minor allele was protective and undertransmitted to SPTB infants (p = 0.007). In the placenta and fetal membranes, the rs2280964 major allele homozygotes had higher expression levels than minor allele homozygotes; decidual trophoblasts showed strong CXCR3 immunoreactivity. Expression was higher in SPTB placentas compared with those from elective deliveries. Concentration of a CXCR3 ligand, CXCL9, was increased in cord blood from SPTB, and the protective rs2280964 allele was associated with low CXCL9. In CXCR3-deficient mice (Mus musculus), SPTB-associating cytokines were not acutely increased in amniotic fluid after preterm birth-inducing dose of maternal LPS. Our results indicate that CXCR3 contributes to SPTB. Activation of CXCR3 signaling may disturb the maternal-fetal tolerance, and this may promote labor.
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Affiliation(s)
- Minna K Karjalainen
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland;
| | - Marja Ojaniemi
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland
| | - Antti M Haapalainen
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland
| | - Mari Mahlman
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland
| | - Annamari Salminen
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland
| | - Johanna M Huusko
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland
| | - Tomi A Määttä
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland
| | - Tuula Kaukola
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland
| | - Julia Anttonen
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland
| | - Johanna Ulvila
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland
| | - Ritva Haataja
- Biocenter Oulu, University of Oulu, 90014 Oulu, Finland
| | - Kari Teramo
- Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, 00290 Helsinki, Finland
| | | | - Aarno Palotie
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142; Institute for Molecular Medicine Finland, University of Helsinki, 00014 Helsinki, Finland; Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114; Department of Neurology, Massachusetts General Hospital, Boston, MA 02114
| | - Louis J Muglia
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229
| | - Mika Rämet
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland; BioMediTech, University of Tampere, 33014 Tampere, Finland; and Department of Pediatrics, Tampere University Hospital, 33521 Tampere, Finland
| | - Mikko Hallman
- PEDEGO Research Center and Medical Research Center Oulu, University of Oulu, 90014 Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, 90029 Oulu, Finland
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