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Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors.
Nat. Genet. 51, 804-814 (2019)
Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Ld Score Regression; Mendelian Randomization; Diabetes-mellitus; Blood-pressure; Association; Origins; Growth; Life; Disease; Identification
Keywords plus
Sprache
Veröffentlichungsjahr
2019
Prepublished im Jahr
HGF-Berichtsjahr
2019
ISSN (print) / ISBN
1061-4036
e-ISSN
1546-1718
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 51,
Heft: 5,
Seiten: 804-814
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Nature Publishing Group
Verlagsort
New York, NY
Tag d. mündl. Prüfung
0000-00-00
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Prüfer
Topic
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Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-008
G-504100-001
G-506700-001
Förderungen
Copyright
Erfassungsdatum
2019-05-14