title: The genetic susceptibility to respiratory distress syndrome.
abstract: Previous studies to identify a genetic component to RDS have shown conflicting results. Our objectives were to evaluate and quantify the genetic contribution to RDS using data that comprehensively includes known environmental factors in a large sample of premature twins. Data from a retrospective chart review of twins born at < or =32 wk GA were obtained from two neonatal units. Mixed effects logistic regression (MELR) analysis was used to assess the influence of several independent covariates on RDS. A zygosity analysis, including the effects of additive genetic, common environmental and residual effects (ACE) factors, was performed to estimate the genetic contribution. Results reveal that the 332 twin pairs had a mean GA of 29.5 wk and birth weight (BW) of 1372 g. An MELR identified significant nongenetic covariates as male gender (p = 0.04), BW (p < 0.001), 5-min Apgar score (p < 0.001), and treating institution (p = 0.001) as significant predictors for RDS. The ACE model was used to estimate the genetic susceptibility to RDS by adjusting for the above factors. We found 49.7% (p = 0.04) of the variance in liability to RDS was the result of genetic factors alone. We conclude that there is a significant genetic susceptibility to RDS in preterm infants.
authors.affiliation: Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut 06520, USA.
authors.forename: Orly
authors.initials: O
authors.lastname: Levit
authors.forename: Yuan
authors.initials: Y
authors.lastname: Jiang
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Bizzarro
authors.forename: Naveed
authors.initials: N
authors.lastname: Hussain
authors.forename: Catalin S
authors.initials: CS
authors.lastname: Buhimschi
authors.forename: Jeffrey R
authors.initials: JR
authors.lastname: Gruen
authors.forename: Heping
authors.initials: H
authors.lastname: Zhang
authors.forename: Vineet
authors.initials: V
authors.lastname: Bhandari
mesh_terms: D001724:Birth Weight; D003237:Connecticut; D005260:Female; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D005865:Gestational Age; D006801:Humans; D007231:Infant, Newborn; D007234:Infant, Premature; D016015:Logistic Models; D008297:Male; D008957:Models, Genetic; D012127:Respiratory Distress Syndrome, Newborn / Q000235:genetics*; D014427:Twins
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