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Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
Two Novel Genetic Variants In The Mineralocorticoid Receptor Gene Associated With Spontaneous Preterm Birth, Inge Christiaens, Q. Wei Ang, Lindsay N. Gordon, Xin Fang, Scott Williams
Two Novel Genetic Variants In The Mineralocorticoid Receptor Gene Associated With Spontaneous Preterm Birth, Inge Christiaens, Q. Wei Ang, Lindsay N. Gordon, Xin Fang, Scott Williams
Dartmouth Scholarship
Background: Preterm birth is the leading cause of mortality and morbidity in newborn infants. Its etiology is multifactorial with genes and environmental factors, including chronic maternal stress, contributing to its risk. Our objective was to investigate whether single nucleotide polymorphisms (SNPs) in genes involved in the stress response are associated with spontaneous preterm birth using a candidate gene approach.
Methods: A total of 210 cases (singleton spontaneous preterm birth at <37 >weeks) and 412 controls (singleton term birth at 38–42 weeks without a history of preterm birth) were studied. High quality maternal DNA was available from saliva samples of 190 cases …37>
Preliminary Analysis Of In Utero Low-Level Arsenic Exposure And Fetal Growth Using Biometric Measurements Extracted From Fetal Ultrasound Reports, Matthew A. Davis, John Higgins, Zhigang Li, Diane Gilbert-Diamond, Emily R. Baker, Amar Das, Margaret R. Karagas
Preliminary Analysis Of In Utero Low-Level Arsenic Exposure And Fetal Growth Using Biometric Measurements Extracted From Fetal Ultrasound Reports, Matthew A. Davis, John Higgins, Zhigang Li, Diane Gilbert-Diamond, Emily R. Baker, Amar Das, Margaret R. Karagas
Dartmouth Scholarship
Background: Early life exposure to arsenic is associated with decreased birth weight in highly exposed populations but little is known about effects of low-level arsenic exposure on growth in utero.
Methods: Using a sample of 272 pregnancies from New Hampshire we obtained biometric measurements directly from fetal ultrasound reports commonly found in electronic medical records. We used information extraction methods to develop and validate an automated approach for mining biometric measurements from the text of clinical reports. As a preliminary analysis, we examined associations between in utero low-level arsenic exposure (as measured by maternal urinary arsenic concentration) and fetal growth …