{"doi":"10.3389/fgene.2022.815727","title":"SNP–SNP Interactions of Surfactant Protein Genes in Persistent Respiratory Morbidity Susceptibility in Previously Healthy Children","abstract":"We studied associations of persistent respiratory morbidity (PRM) at 6 and 12 months after acute respiratory failure (ARF) in previously healthy children with single-nucleotide polymorphisms (SNPs) of surfactant protein (SP) genes. Of the 250 enrolled subjects, 155 and 127 were followed at 6 and 12 months after an ARF episode, respectively. Logistic regression analysis and SNP–SNP interaction models were used. We found that 1) in the multivariate analysis, an increased risk at 6 and 12 months was associated with rs1124_A and rs4715_A of SFTPC , respectively; 2) in a single SNP model, increased and decreased risks of PRM at both timepoints were associated with rs1124 of SFTPC and rs721917 of SFTPD , respectively; an increased risk at 6 months was associated with rs1130866 of SFTPB and rs4715 of SFTPC , and increased and decreased risks at 12 months were associated with rs17886395 of SFTPA2 and rs2243639 of SFTPD , respectively; 3) in a two-SNP model, PRM susceptibility at both timepoints was associated with a number of intergenic interactions between SNPs of the studied SP genes. An increased risk at 12 months was associated with one intragenic (rs1965708 and rs113645 of SFTPA2 ) interaction; 4) in a three-SNP model, decreased and increased risks at 6 and 12 months, respectively, were associated with an interaction among rs1130866 of SFTPB , rs721917 of SFTPD , and rs1059046 of SFTPA2 . A decreased risk at 6 months was associated with an interaction among the same SNPs of SFTPB and SFTPD and the rs1136450 of SFTPA1 . The findings revealed that SNPs of all SFTP s appear to play a role in long-term outcomes of ARF survivors and may serve as markers for disease susceptibility.","journal":"Frontiers in Genetics","year":2022,"id":273798,"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":10,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9564,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":242106,"name":"Neal J. Thomas","orcid":"0000-0002-7991-7510","position":1,"is_corresponding":false},{"id":760132,"name":"Meixia Ye","orcid":null,"position":2,"is_corresponding":false},{"id":406063,"name":"Debbie Spear","orcid":null,"position":3,"is_corresponding":false},{"id":234100,"name":"Chenqi Fu","orcid":null,"position":4,"is_corresponding":false},{"id":230994,"name":"Shouhao Zhou","orcid":"0000-0002-8124-5047","position":5,"is_corresponding":false},{"id":340006,"name":"Rongling Wu","orcid":"0000-0001-8350-7779","position":6,"is_corresponding":false},{"id":405303,"name":"Garrett Keim","orcid":"0000-0002-7054-8798","position":7,"is_corresponding":false},{"id":308225,"name":"Nadir Yehya","orcid":"0000-0002-2996-217X","position":8,"is_corresponding":false},{"id":406064,"name":"Joanna Floros","orcid":null,"position":9,"is_corresponding":false},{"id":405299,"name":"Chintan K. Gandhi","orcid":"0000-0002-3328-7074","position":0,"is_corresponding":true}],"reference_count":66,"raw_metadata":null,"created_at":"2026-07-19T00:28:03.504676Z","pmid":"35401703","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":[]}