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dc.contributor.authorThomsen, Liv Cecilie Vestrheimen_US
dc.contributor.authorMelton, Philip E.en_US
dc.contributor.authorTollaksen, Kjerstien_US
dc.contributor.authorLyslo, Ingvillen_US
dc.contributor.authorRoten, Linda Tømmerdalen_US
dc.contributor.authorOdland, Maria Lisaen_US
dc.contributor.authorStrand, Kristin Melheimen_US
dc.contributor.authorNygård, Ottaren_US
dc.contributor.authorSun, Chenen_US
dc.contributor.authorIversen, Ann-Charlotteen_US
dc.contributor.authorAustgulen, Rigmoren_US
dc.contributor.authorMoses, Ericen_US
dc.contributor.authorBjørge, Lineen_US 2015 Wolters Kluwer Health, Inceng
dc.PublishedJournal of Hypertension 2015, 33(11):2294-2302eng
dc.description.abstractObjective: Preeclampsia is a complex genetic disease of pregnancy with a heterogenous presentation, unknown cause and potential severe outcomes for both mother and child. Preeclamptic women have increased risk for atherothrombotic cardiovascular disease. We aimed to identify heritabilities and phenotypic correlations of preeclampsia and related conditions in the Norwegian Preeclampsia Family Biobank. Methods: By applying a variance components model, a total of 493 individuals (from 138 families with increased occurrence of preeclampsia) were classified according to 30 disease-related phenotypes. Results: Of parous women, 75.7% (263/338) had experienced preeclampsia and 35.7% of women with and 22.4% without preeclampsia delivered children small for gestational age (SGA). We identified 11 phenotypes as heritable. The increased occurrence of preeclampsia was reflected by the presence [heritability (H2r) = 0.60)] and severity (H2r = 0.15) of preeclampsia and being born in a preeclamptic pregnancy (H2r = 0.25). Other heritable phenotypes identified included SGA (H2r = 0.40), chronic hypertension (H2r = 0.57), severity of atherothrombotic cardiovascular disease (H2r = 0.31), BMI (H2r = 0.60) and pulmonary disease (H2r = 0.91). The heritable phenotype preeclampsia overlapped with SGA (P = 0.03), whereas pulmonary disease was phenotypically correlated with atherothrombotic cardiovascular disease (P < 0.01), SGA (P = 0.02) and BMI (P = 0.02). Conclusion: This is the first study identifying the H2r of a range of health-related conditions in preeclamptic families. Our study demonstrates how refinement of phenotypes leads to better H2r estimation and the identification of a biological relationship between preeclampsia and related traits.en_US
dc.publisherWolters Kluwereng
dc.rightsAttribution CC BY 4.0eng
dc.titleRefined phenotyping identifies links between preeclampsia and related diseases in a Norwegian preeclampsia family cohorten_US
dc.typePeer reviewed
dc.typeJournal article
dc.relation.projectNorges forskningsråd: 205400
dc.relation.projectNorges forskningsråd: 223255
dc.subject.nsiVDP::Medisinske Fag: 700en_US

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Attribution CC BY 4.0
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