Genome-wide association study of sepsis in extremely premature infants
| Autor: | Lakshmi, Srinivasan, Grier, Page, Haresh, Kirpalani, Jeffrey C, Murray, Abhik, Das, Rosemary D, Higgins, Waldemar A, Carlo, Edward F, Bell, Ronald N, Goldberg, Kurt, Schibler, Beena G, Sood, David K, Stevenson, Barbara J, Stoll, Krisa P, Van Meurs, Karen J, Johnson, Joshua, Levy, Scott A, McDonald, Kristin M, Zaterka-Baxter, Kathleen A, Kennedy, Pablo J, Sánchez, Shahnaz, Duara, Michele C, Walsh, Seetha, Shankaran, James L, Wynn, C Michael, Cotten, Geraldine, Muran |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Male
0301 basic medicine medicine.medical_specialty Genotype Genome-wide association study Single-nucleotide polymorphism Logistic regression Bioinformatics Polymorphism Single Nucleotide Ion Channels Article Cohort Studies Sepsis 03 medical and health sciences 0302 clinical medicine 030225 pediatrics Endopeptidases medicine Humans Adaptor Proteins Signal Transducing business.industry GTPase-Activating Proteins Microfilament Proteins Infant Newborn Obstetrics and Gynecology Gestational age Forkhead Transcription Factors General Medicine medicine.disease Surgery 030104 developmental biology Infant Extremely Premature Pediatrics Perinatology and Child Health Cohort ATP-Binding Cassette Transporters Female business Genome-Wide Association Study Cohort study |
| Zdroj: | Archives of Disease in Childhood - Fetal and Neonatal Edition. 102:F439-F445 |
| ISSN: | 1468-2052 1359-2998 |
| DOI: | 10.1136/archdischild-2016-311545 |
| Popis: | Objective To identify genetic variants associated with sepsis (early-onset and late-onset) using a genome-wide association (GWA) analysis in a cohort of extremely premature infants. Study design Previously generated GWA data from the Neonatal Research Network9s anonymised genomic database biorepository of extremely premature infants were used for this study. Sepsis was defined as culture-positive early-onset or late-onset sepsis or culture-proven meningitis. Genomic and whole-genome-amplified DNA was genotyped for 1.2 million single-nucleotide polymorphisms (SNPs); 91% of SNPs were successfully genotyped. We imputed 7.2 million additional SNPs. p Values and false discovery rates (FDRs) were calculated from multivariate logistic regression analysis adjusting for gender, gestational age and ancestry. Target statistical value was p −5 . Secondary analyses assessed associations of SNPs with pathogen type. Pathway analyses were also run on primary and secondary end points. Results Data from 757 extremely premature infants were included: 351 infants with sepsis and 406 infants without sepsis. No SNPs reached genome-wide significance levels (5×10 −8 ); two SNPs in proximity to FOXC2 and FOXL1 genes achieved target levels of significance. In secondary analyses, SNPs for ELMO1, IRAK2 (Gram-positive sepsis), RALA, IMMP2L (Gram-negative sepsis) and PIEZO2 (fungal sepsis) met target significance levels. Pathways associated with sepsis and Gram-negative sepsis included gap junctions, fibroblast growth factor receptors, regulators of cell division and interleukin-1-associated receptor kinase 2 (p values Conclusions No SNPs met genome-wide significance in this cohort of extremely low birthweight infants; however, areas of potential association and pathways meriting further study were identified. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|