The extent to which genotype information may add to the prediction of disturbed perinatal adaptation

None, minor, or major?

András Treszl, Ambrus Kaposi, J. Hajdú, M. Szabó, T. Tulassay, B. Vásárhelyi

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Studies have been performed to describe the significance of genetic polymorphisms in complications associated with disturbed perinatal adaptation. Due to the large number of interacting factors, the results of classic statistical methods are often inconsistent. The random forest technique (RFT) is a robust nonparametric statistical approach that overcomes this problem through the calculation of the importance of each factor. We used RFT to reanalyze the importance of 24 genetic polymorphisms in the classification of preterm infants (birth weight, 680-1460 g, n = 100) to affected and unaffected groups according to the presence of acute perinatal complications. The accuracy of classification was between 0.5 and 0.8 for each complication when only birth data were considered. However, when genetic polymorphisms with the highest importance scores (ISs) were included in the analysis, the accuracy of classification according overall morbidity, necrotizing enterocolitis (NEC), acute renal failure (ARF), infant respiratory distress syndrome (IRDS), cardiac failure (CF), and patent ductus arteriosus (PDA) improved from 0.69, 0.60, 0.70, 0.72, 0.68, and 0.57 to 0.77, 0.70, 0.76, 0.77, 0.76, and 0.64, respectively. Our findings suggest that genetic polymorphisms identified by RFT as predictors may improve the risk assessment of preterm infants. RFT is a suitable tool to develop risk factor patterns in this population.

Original languageEnglish
Pages (from-to)610-614
Number of pages5
JournalPediatric Research
Volume62
Issue number5
DOIs
Publication statusPublished - Nov 2007

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Genetic Polymorphisms
Genotype
Premature Infants
Newborn Respiratory Distress Syndrome
Necrotizing Enterocolitis
Patent Ductus Arteriosus
Premature Birth
Acute Kidney Injury
Birth Weight
Heart Failure
Parturition
Morbidity
Population

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health

Cite this

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title = "The extent to which genotype information may add to the prediction of disturbed perinatal adaptation: None, minor, or major?",
abstract = "Studies have been performed to describe the significance of genetic polymorphisms in complications associated with disturbed perinatal adaptation. Due to the large number of interacting factors, the results of classic statistical methods are often inconsistent. The random forest technique (RFT) is a robust nonparametric statistical approach that overcomes this problem through the calculation of the importance of each factor. We used RFT to reanalyze the importance of 24 genetic polymorphisms in the classification of preterm infants (birth weight, 680-1460 g, n = 100) to affected and unaffected groups according to the presence of acute perinatal complications. The accuracy of classification was between 0.5 and 0.8 for each complication when only birth data were considered. However, when genetic polymorphisms with the highest importance scores (ISs) were included in the analysis, the accuracy of classification according overall morbidity, necrotizing enterocolitis (NEC), acute renal failure (ARF), infant respiratory distress syndrome (IRDS), cardiac failure (CF), and patent ductus arteriosus (PDA) improved from 0.69, 0.60, 0.70, 0.72, 0.68, and 0.57 to 0.77, 0.70, 0.76, 0.77, 0.76, and 0.64, respectively. Our findings suggest that genetic polymorphisms identified by RFT as predictors may improve the risk assessment of preterm infants. RFT is a suitable tool to develop risk factor patterns in this population.",
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AU - Szabó, M.

AU - Tulassay, T.

AU - Vásárhelyi, B.

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