{"doi":"10.3389/fped.2021.682160","title":"Single Nucleotide Polymorphisms Interactions of the Surfactant Protein Genes Associated With Respiratory Distress Syndrome Susceptibility in Preterm Infants","abstract":"Background: Neonatal respiratory distress syndrome (RDS), due to surfactant deficiency in preterm infants, is the most common cause of respiratory morbidity. The surfactant proteins ( SFTP ) genetic variants have been well-studied in association with RDS; however, the impact of SNP-SNP (single nucleotide polymorphism) interactions on RDS has not been addressed. Therefore, this study utilizes a newer statistical model to determine the association of SFTP single SNP model and SNP-SNP interactions in a two and a three SNP interaction model with RDS susceptibility. Methods: This study used available genotype and clinical data in the Floros biobank at Penn State University. The patients consisted of 848 preterm infants, born <36 weeks of gestation, with 477 infants with RDS and 458 infants without RDS. Seventeen well-studied SFTPA1, SFTPA2, SFTPB, SFTPC , and SFTPD SNPs were investigated. Wang's statistical model was employed to test and identify significant associations in a case-control study. Results: Only the rs17886395 (C allele) of the SFTPA2 was associated with protection for RDS in a single-SNP model (Odd's Ratio 0.16, 95% CI 0.06–0.43, adjusted p = 0.03). The highest number of interactions ( n = 27) in the three SNP interactions were among SFTPA1 and SFTPA2 . The three SNP models showed intergenic and intragenic interactions among all SFTP SNPs except SFTPC . Conclusion: The single SNP model and SNP interactions using the two and three SNP interactions models identified SFTP -SNP associations with RDS. However, the large number of significant associations containing SFTPA1 and/or SFTPA2 SNPs point to the importance of SFTPA1 and SFTPA2 in RDS susceptibility.","journal":"Frontiers in Pediatrics","year":2021,"id":192374,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9612,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":760132,"name":"Meixia Ye","orcid":null,"position":1,"is_corresponding":false},{"id":405301,"name":"Lili Yang","orcid":"0000-0001-5220-3094","position":2,"is_corresponding":false},{"id":405299,"name":"Chintan K. Gandhi","orcid":"0000-0002-3328-7074","position":3,"is_corresponding":false},{"id":340006,"name":"Rongling Wu","orcid":"0000-0001-8350-7779","position":4,"is_corresponding":false},{"id":760133,"name":"Beth A. Nagourney","orcid":null,"position":5,"is_corresponding":false},{"id":406064,"name":"Joanna Floros","orcid":null,"position":6,"is_corresponding":false},{"id":407038,"name":"Shaili Amatya","orcid":"0000-0001-8870-7390","position":0,"is_corresponding":true}],"reference_count":104,"raw_metadata":null,"created_at":"2026-07-18T23:49:43.496702Z","pmid":"34671583","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}