Evidence map›Paper›PMID 19653833›Full record

ArticleTwin research and human genetics : the official journal of the International Society for Twin Studies2009

Estimating fetal and maternal genetic contributions to premature birth from multiparous pregnancy histories of twins using MCMC and maximum-likelihood approaches.

Timothy P York, Jerome F Strauss, Michael C Neale, Lindon J Eaves

Open access · bronzeAbstract readTwin Study
In one paragraph

Article in Twin research and human genetics : the official journal of the International Society for Twin Studies, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Timothy P YorkVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, Virginia 32398-0003, United States of America. tpyork@vcu.edu
Jerome F Strauss
Michael C Neale
Lindon J Eaves
Virginia Commonwealth University · US

Funding

VCU NIMHD Comprehensive Center of Excellence (Project 1; PI: Strauss)P60MD002256 · NIMHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI BRADLEY, CATHY J · 2007 to 2016
$13.1M
Psychometric and Genetic Assessments of Substance UseR37DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2005 to 2014
$3.7M
Psychometric and Genetic Assessments of Substance UseR01DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2004 to 2019
$2.3M
MECHANISMS OF FETAL MEMBRANE RUPTURER01HD034612 · NICHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI STRAUSS, JEROME F · 1996 to 2010
$1.8M
NICHD NIH HHS L40 HD062274NICHD NIH HHS R01 HD034612NIDA NIH HHS DA-18673NIDA NIH HHS R01 DA018673NIDA NIH HHS R37 DA018673NIMHD NIH HHS P60 MD002256
6 · The paper itself

Abstract

The analysis of genetic and environmental contributions to preterm birth is not straightforward in family studies, as etiology could involve both maternal and fetal genes. Markov Chain Monte Carlo (MCMC) methods are presented as a flexible approach for defining user-specified covariance structures to handle multiple random effects and hierarchical dependencies inherent in children of twin (COT) studies of pregnancy outcomes. The proposed method is easily modified to allow for the study of gestational age as a continuous trait and as a binary outcome reflecting the presence or absence of preterm birth. Estimation of fetal and maternal genetic factors and the effect of the environment are demonstrated using MCMC methods implemented in WinBUGS and maximum likelihood methods in a Virginia COT sample comprising 7,061 births. In summary, although the contribution of maternal and fetal genetic factors was supported using both outcomes, additional births and/or extended relationships are required to precisely estimate both genetic effects simultaneously. We anticipate the flexibility of MCMC methods to handle increasingly complex models to be of particular relevance for the study of birth outcomes.

Indexed as

Reproductive HistoryFemaleFetusHumansInfant, NewbornInfant, PrematureLikelihood FunctionsMarkov ChainsParityPregnancyPregnancy OutcomePremature Birth

Identifiers

PMID19653833
PMCPMC2913409
OpenAlexW2105658895

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.