ID

45166

Description

Principal Investigator: Xiaobin Wang, MD, MPH, ScD, Zanvyl Krieger Professor, Director, Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, and Professor of Pediatrics, John Hopkins University School of Medicine, Baltimore, MD, USA MeSH: Infant, Premature,Premature Birth,Gestational Age https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000332 Preterm birth (PTB, born before 37 weeks of gestation) is a leading cause of neonatal mortality and post-natal morbidity. PTB affects one in nine all live births in the U.S. Notably, the highest rate of PTB occurs among African Americans (one in six). PTB is a complex trait, likely determined by multiple environmental and genetic factors and their interactions. We demonstrated strong familial aggregation of preterm and low birthweight in the US Blacks and Whites (Wang et al, NEJM, 1995) and conducted the largest candidate gene study of preterm birth at that time (Hao et al, HMG, 2004). We showed that a subset of mothers with certain metabolic gene variants are particularly vulnerable to the adverse effects of cigarette smoking on low birthweight and preterm births (Wang et al, JAMA, 2002). We also published a number of papers that examined the effect of maternal pre-pregnancy BMI, micronutrient status, stress and environmental toxins on the risk of preterm birth and related conditions. This project, supported by a grant from the NICHD (2R01HD41702, PI, Xiaobin Wang), aimed to conduct a genome-wide association study (GWAS) and apply advanced statistical methods to identify susceptibility loci of PTB in a predominantly urban low-income African American sample, a subset of the Boston Birth Cohort. PUBLIC HEALTH REVELANCE: We anticipate that this study will lead to the identification of novel genetic loci of PTB and gene-environment interactions. Such findings not only will provide important insights into mechanisms leading to PTB, but also may help identify women at high-risk of PTB, which in turn, may lead to the development of early and targeted interventions that can prevent PTB or mitigate the severity and consequences of PTB.

Link

dbGaP study = phs000332

Keywords

  1. 8/25/22 8/25/22 - Chiara Middel
  2. 10/12/22 10/12/22 - Adrian Schulz
Copyright Holder

Xiaobin Wang, MD, MPH, ScD, Zanvyl Krieger Professor, Director, Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, and Professor of Pediatrics, John Hopkins University School of Medicine, Baltimore, MD, USA

Uploaded on

October 12, 2022

DOI

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License

Creative Commons BY 4.0

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dbGaP phs000332 GWAS of Preterm Birth

Sample Attribute Information

pht003739
Description

pht003739

De-identified Sample ID
Description

SAMPID

Data type

string

Alias
UMLS CUI [1,1]
C1299222
UMLS CUI [1,2]
C4684638
Body site where sample was collected
Description

BODY_SITE

Data type

string

Alias
UMLS CUI [1,1]
C1515974
UMLS CUI [1,2]
C0200345
Analyte Type
Description

ANALYTE_TYPE

Data type

string

Alias
UMLS CUI [1,1]
C4744818
Name of the center which conducted genotyping
Description

GENOTYPING_CENTER

Data type

string

Alias
UMLS CUI [1,1]
C1301943
UMLS CUI [1,2]
C0565990
UMLS CUI [1,3]
C1285573

Similar models

Sample Attribute Information

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht003739
SAMPID
Item
De-identified Sample ID
string
C1299222 (UMLS CUI [1,1])
C4684638 (UMLS CUI [1,2])
BODY_SITE
Item
Body site where sample was collected
string
C1515974 (UMLS CUI [1,1])
C0200345 (UMLS CUI [1,2])
ANALYTE_TYPE
Item
Analyte Type
string
C4744818 (UMLS CUI [1,1])
GENOTYPING_CENTER
Item
Name of the center which conducted genotyping
string
C1301943 (UMLS CUI [1,1])
C0565990 (UMLS CUI [1,2])
C1285573 (UMLS CUI [1,3])

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