Given the possible critical importance of placental gene imprinting and random monoallelic expression on fetal and infant health, most of those genes must be identified, in order to understand the risks that the baby might meet during pregnancy and after birth. Therefore, the aim of the current study was to introduce a workflow and tools for analyzing imprinted and random monoallelic gene expression in human placenta, by applying whole-transcriptome (WT) RNA sequencing of placental tissue and genotyping of coding DNA variants in family trios. Ten family trios, each with a healthy spontaneous single-term pregnancy, were recruited. Total RNA was extracted for WT analysis, providing the full sequence information for the placental transcriptome. Parental and child blood DNA genotypes were analyzed by exome SNP genotyping microarrays, mapping the inheritance and estimating the abundance of parental expressed alleles. Imprinted genes showed consistent expression from either parental allele, as demonstrated by the SNP content of sequenced transcripts, while monoallelically expressed genes had random activity of parental alleles. We revealed 4 novel possible imprinted genes (LGALS8, LGALS14, PAPPA2 and SPTLC3) and confirmed the imprinting of 4 genes (AIM1, PEG10, RHOBTB3 and ZFAT-AS1) in human placenta. The major finding was the identification of 4 genes (ABP1, BCLAF1, IFI30 and ZFAT) with random allelic bias, expressing one of the parental alleles preferentially. The main functions of the imprinted and monoallelically expressed genes included: i) mediating cellular apoptosis and tissue development; ii) regulating inflammation and immune system; iii) facilitating metabolic processes; and iv) regulating cell cycle.

Recent studies suggest that multiple interacting loci, with possible additional environmental factors, influence the risk for nonsyndromic oral clefts, one of the most common birth defects in humans. Advances in high-throughput genotyping technology allow the testing of multiple markers, simultaneously, in many candidate genes. We tested for associations between 176 haplotype-tagging single nucleotide polymorphisms (SNPs) in 18 candidate genes/loci and nonsyndromic clefts in a case-control study in an Estonian sample (153 patients, 205 controls). The most significant associations with nonsyndromic cleft lip with or without cleft palate (CL/P) were found for SNPs in MSX1, MTHFR, and PVRL2, including several common haplotypes in the MTHFR and MSX1 genes. The strongest association was observed for rs6446693 in the MSX1 region, which remained statistically significant after Bonferroni correction. The strongest association with nonsyndromic cleft palate (CP) was found for the SNP rs11624283 in the JAG2 gene. Epistatic interactions were observed for SNPs within PVRL2, between BCL3 and EDN1, and between IRF6 and MSX1 genes. This study provides further evidence implicating MSX1 and MTHFR in the etiology of nonsyndromic CL/P across different populations.

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