Metabolomics datasets in the Born in Bradford cohort.
Kurt TaylorNancy McBrideNeil J GouldingKimberley BurrowsDan MasonLucy PembreyTiffany C YangRafaq AzadJohn WrightDeborah A LawlorPublished in: Wellcome open research (2020)
Metabolomics is the quantification of small molecules, commonly known as metabolites. Collectively, these metabolites and their interactions within a biological system are known as the metabolome. The metabolome is a unique area of study, capturing influences from both genotype and environment. The availability of high-throughput technologies for quantifying large numbers of metabolites, as well as lipids and lipoprotein particles, has enabled detailed investigation of human metabolism in large-scale epidemiological studies. The Born in Bradford (BiB) cohort includes 12,453 women who experienced 13,776 pregnancies recruited between 2007-2011, their partners and their offspring. In this data note, we describe the metabolomic data available in BiB, profiled during pregnancy, in cord blood and during early life in the offspring. These include two platforms of metabolomic profiling: nuclear magnetic resonance and mass spectrometry. The maternal measures, taken at 26-28 weeks' gestation, can provide insight into the metabolome during pregnancy and how it relates to maternal and offspring health. The offspring cord blood measurements provide information on the fetal metabolome. These measures, alongside maternal pregnancy measures, can be used to explore how they may influence outcomes. The infant measures (taken around ages 12 and 24 months) provide a snapshot of the early life metabolome during a key phase of nutrition, environmental exposures, growth, and development. These metabolomic data can be examined alongside the BiB cohorts' extensive phenotype data from questionnaires, medical, educational and social record linkage, and other 'omics data.
Keyphrases
- cord blood
- early life
- mass spectrometry
- pregnancy outcomes
- electronic health record
- gestational age
- big data
- magnetic resonance
- birth weight
- high fat diet
- high throughput
- healthcare
- ms ms
- mental health
- preterm birth
- single cell
- pregnant women
- body mass index
- gene expression
- data analysis
- health information
- genome wide
- adipose tissue
- computed tomography
- skeletal muscle
- high resolution
- social media
- human immunodeficiency virus
- liquid chromatography
- preterm infants
- low birth weight
- dna methylation
- hepatitis c virus
- deep learning
- antiretroviral therapy
- glycemic control
- cervical cancer screening