Data mining and multiparameter analysis of lung surfactant protein genes in bronchopulmonary dysplasia

Abstract

Bronchopulmonary dysplasia (BPD), the most common chronic lung disease in infancy, is influenced by a number of antenatal and postnatal risk factors and is mostly preceded by respiratory distress syndrome (RDS) in the newborn. Surfactant protein (SP-A, -B, -C and -D) gene variations may play a role in both BPD and RDS. An association study between these candidate genes and BPD was performed. A total of 365 preterm Finnish infants in a high-risk population with gestational age <or=32 weeks were genotyped for all SP genes. A multiparameter analysis was performed using Agrawal's algorithm based data mining and conventional methods of statistical allelic association. In singletons and presenting multiples, the frequency of SP-B intron 4 deletion variant allele was increased in BPD versus controls (P=0.008, OR=2.0, 95%CI 1.2-3.4). The presence of the SP-B intron 4 deletion variant was a risk factor for BPD even when essential external confounding factors were included in the analyses. No other SP polymorphisms associated with BPD, and the SP-B intron 4 variation did not associate with RDS. Transcription Element Search Software predicted allele-specific differences at several putative transcription factor binding sites that may be important in SP-B regulation. The present multiparameter analysis demonstrates the presumable direct involvement of the SP-B intron 4 deletion variant allele as a genetic risk factor to BPD. We propose that two separate SP-B gene polymorphisms have a phenotypic significance via separate molecular mechanisms: the intron 4 length variation affecting transcriptional regulation, and the exonic Ile131Thr variation affecting post-translationally.