Association of the FCN2 Gene Promoter Region Polymorphisms with Very Low Birthweight in Preterm Neonates.
Agnieszka Szala-PoździejAnna S ŚwierzkoGabriela GajekMaja Kufelnicka-BaboutKarolina ChojnackaPaulina KobielaDariusz JarychKatarzyna SobczukJan MazelaIwona Domżalska-PopadiukJarosław KalinkaHideharu SekineMisao MatsushitaMaciej CedzyńskiPublished in: International journal of molecular sciences (2022)
Single nucleotide polymorphisms (SNPs) localised to the promoter region of the FCN2 gene are known to influence the concentration of ficolin-2 in human serum and therefore potentially have clinical associations. We investigated the relationships between SNPs at positions -986 (A > G), -602 (G > A), -64 (A > C) and -4 (A > G) and clinical complications in 501 preterms. Major alleles at positions -986 and -64 and A/A homozygosity for both polymorphisms were less frequent among babies with very low birthweight (VLBW, ≤1500 g) compared with the reference group (OR = 0.24, p = 0.0029; and OR = 0.49, p = 0.024, respectively for A/A genotypes). A lower frequency of G/G homozygosity at position -4 was associated with gestational age <33 weeks and VLBW (OR = 0.38, p = 0.047; and OR = 0.07, p = 0.0034, respectively). The AGAG haplotype was protective for VLBW (OR = 0.6, p = 0.0369), whilst the GGCA haplotype had the opposite effect (OR = 2.95, p = 0.0249). The latter association was independent of gestational age. The AGAG/GGAA diplotype favoured both shorter gestational age and VLBW (OR = 1.82, p = 0.0234 and OR = 1.95, p = 0.0434, respectively). In contrast, AGAG homozygosity was protective for lower body mass (OR = 0.09, p = 0.0155). Our data demonstrate that some FCN2 variants associated with relatively low ficolin-2 increase the risk of VLBW and suggest that ficolin-2 is an important factor for fetal development/intrauterine growth.
Keyphrases
- gestational age
- birth weight
- preterm birth
- genome wide
- dna methylation
- copy number
- low birth weight
- transcription factor
- gene expression
- magnetic resonance
- genome wide identification
- computed tomography
- big data
- body mass index
- magnetic resonance imaging
- preterm infants
- deep learning
- contrast enhanced
- high resolution
- genome wide association
- high speed