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Meta-analysis of genome-wide association studies of gestational duration and spontaneous preterm birth identifies new maternal risk loci.
Pasanen, Anu; Karjalainen, Minna K; Zhang, Ge; Tiensuu, Heli; Haapalainen, Antti M; Ojaniemi, Marja; Feenstra, Bjarke; Jacobsson, Bo; Palotie, Aarno; Laivuori, Hannele; Muglia, Louis J; Rämet, Mika; Hallman, Mikko.
Afiliação
  • Pasanen A; Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu, and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland.
  • Karjalainen MK; Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
  • Zhang G; Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Center for Prevention of Preterm Birth, Perinatal Institute and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati
  • Tiensuu H; Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu, and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland.
  • Haapalainen AM; Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu, and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland.
  • Ojaniemi M; Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu, and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland.
  • Feenstra B; Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
  • Jacobsson B; Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden.
  • Palotie A; Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway.
  • Laivuori H; Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.
  • Muglia LJ; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
  • Rämet M; Psychiatric & Neurodevelopmental Genetics Unit, Department of Psychiatry, Analytic and Translational Genetics Unit, Department of Medicine, and the Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
  • Hallman M; Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.
PLoS Genet ; 19(10): e1010982, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37871108
BACKGROUND: Preterm birth (<37 weeks of gestation) is a major cause of neonatal death and morbidity. Up to 40% of the variation in timing of birth results from genetic factors, mostly due to the maternal genome. METHODS: We conducted a genome-wide meta-analysis of gestational duration and spontaneous preterm birth in 68,732 and 98,370 European mothers, respectively. RESULTS: The meta-analysis detected 15 loci associated with gestational duration, and four loci associated with preterm birth. Seven of the associated loci were novel. The loci mapped to several biologically plausible genes, for example HAND2 whose expression was previously shown to decrease during gestation, associated with gestational duration, and GC (Vitamin D-binding protein), associated with preterm birth. Downstream in silico-analysis suggested regulatory roles as underlying mechanisms for the associated loci. LD score regression found birth weight measures as the most strongly correlated traits, highlighting the unique nature of spontaneous preterm birth phenotype. Tissue expression and colocalization analysis revealed reproductive tissues and immune cell types as the most relevant sites of action. CONCLUSION: We report novel genetic risk loci that associate with preterm birth or gestational duration, and reproduce findings from previous genome-wide association studies. Altogether, our findings provide new insight into the genetic background of preterm birth. Better characterization of the causal genetic mechanisms will be important to public health as it could suggest new strategies to treat and prevent preterm birth.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nascimento Prematuro Tipo de estudo: Systematic_reviews Limite: Female / Humans / Newborn Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nascimento Prematuro Tipo de estudo: Systematic_reviews Limite: Female / Humans / Newborn Idioma: En Ano de publicação: 2023 Tipo de documento: Article