SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:gup.ub.gu.se/252443"
 

Search: onr:"swepub:oai:gup.ub.gu.se/252443" > Time-Variant Geneti...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Time-Variant Genetic Effects as a Cause for Preterm Birth: Insights from a Population of Maternal Cousins in Sweden.

Juodakis, Julius (author)
Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för obstetrik och gynekologi,Institute of Clinical Sciences, Department of Obstetrics and Gynecology
Bacelis, Jonas, 1984 (author)
Zhang, Ge (author)
show more...
Muglia, Louis J (author)
Jacobsson, Bo, 1960 (author)
Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för obstetrik och gynekologi,Institute of Clinical Sciences, Department of Obstetrics and Gynecology
show less...
 (creator_code:org_t)
2017-04-01
2017
English.
In: G3: Genes Genomes Genetics. - : Oxford University Press (OUP). - 2160-1836. ; 7:4, s. 1349-1356
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • Preterm delivery (PTD) is the leading cause of neonatal mortality worldwide, yet its etiology remains largely unexplained. We propose that the genetic factors controlling this trait could act in a nonuniform manner during pregnancy, with each factor having a unique "window of sensitivity." We test this hypothesis by modeling the distribution of gestational ages (GAs) observed in maternal cousins from the Swedish Medical Birth Register (MBR) (n = 35,541 pairs). The models were built using a time-to-event framework, with simulated genetic factors that increase the hazard of birth either uniformly across the pregnancy (constant effect) or only in particular windows (varying effect). By including various combinations of these factors, we obtained four models that were then optimized and compared. Best fit to the clinical data was observed when most of the factors had time-variant effects, independently of the number of loci simulated. Finally, power simulations were performed to assess the ability to discover varying-effect loci by usual methods for genome-wide association testing. We believe that the tools and concepts presented here should prove useful for the design of future studies of PTD and provide new insights into the genetic architecture determining human GA.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Reproduktionsmedicin och gynekologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Obstetrics, Gynaecology and Reproductive Medicine (hsv//eng)

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view