Association between pregnancy complications and small-for–gestational-age birth weight defined by customized fetal growth standard versus a population-based standard

2010 ◽  
Vol 24 (3) ◽  
pp. 411-417 ◽  
Author(s):  
Anthony O. Odibo ◽  
Andre Francis ◽  
Alison G. Cahill ◽  
George A. Macones ◽  
James P. Crane ◽  
...  
Keyword(s):  
Birth Weight ◽  
Fetal Growth ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Pregnancy Complications ◽  
Population Based ◽  
Growth Standard

scholarly journals Customized fetal growth standard compared with the INTERGROWTH-21st century standard at predicting small-for-gestational-age neonates

2018 ◽  
Vol 97 (11) ◽  
pp. 1381-1387 ◽  
Author(s):  
Anthony O. Odibo ◽  
Chinedu Nwabuobi ◽  
Linda Odibo ◽  
Karla Leavitt ◽  
Sarah Obican ◽  
...  
Keyword(s):  
Fetal Growth ◽  
21St Century ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Growth Standard

scholarly journals Genetic Analyses in Small-for-Gestational-Age Newborns

2018 ◽  
Vol 103 (3) ◽  
pp. 917-925 ◽  
Author(s):  
Susanne E Stalman ◽  
Nita Solanky ◽  
Miho Ishida ◽  
Cristina Alemán-Charlet ◽  
Sayeda Abu-Amero ◽  
...  
Keyword(s):  
Birth Weight ◽  
Fetal Growth ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Growth Failure ◽  
Diagnostic Approach ◽  
Sequence Variant ◽  
Sequence Variants ◽  
Genetic Analyses ◽  
Prenatal Growth

Abstract Context Small for gestational age (SGA) can be the result of fetal growth restriction, which is associated with perinatal morbidity and mortality. Mechanisms that control prenatal growth are poorly understood. Objective The aim of the current study was to gain more insight into prenatal growth failure and determine an effective diagnostic approach in SGA newborns. We hypothesized that one or more copy number variations (CNVs) and disturbed methylation and sequence variants may be present in genes associated with fetal growth. Design A prospective cohort study of subjects with a low birth weight for gestational age. Setting The study was conducted at an academic pediatric research institute. Patients A total of 21 SGA newborns with a mean birth weight below the first centile and a control cohort of 24 appropriate-for-gestational-age newborns were studied. Interventions Array comparative genomic hybridization, genome-wide methylation studies, and exome sequencing were performed. Main Outcome Measures The numbers of CNVs, methylation disturbances, and sequence variants. Results The genetic analyses demonstrated three CNVs, one systematically disturbed methylation pattern, and one sequence variant explaining SGA. Additional methylation disturbances and sequence variants were present in 20 patients. In 19 patients, multiple abnormalities were found. Conclusion Our results confirm the influence of a large number of mechanisms explaining dysregulation of fetal growth. We concluded that CNVs, methylation disturbances, and sequence variants all contribute to prenatal growth failure. These genetic workups can be an effective diagnostic approach in SGA newborns.

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