Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children
By A. Boyd, J. Golding, J. Macleod, Deborah Lawlor, A. Fraser, J. Henderson, Lynn Molloy, A. Ness, S. Ring, George Davey Smith. International Journal of Epidemiology, 2012
2,943 citations recorded by the source corpus.
The Avon Longitudinal Study of Parents and Children (ALSPAC) is a transgenerational prospective observational study investigating influences on health and development across the life course. It considers multiple genetic, epigenetic, biological, psychological, social and other environmental exposures in relation to a similarly diverse range of health, social and developmental outcomes. Recruitment sought to enrol pregnant women in the Bristol area of the UK during 1990–92; this was extended to include additional children eligible using the original enrolment definition up to the age of 18 years. The children from 14 541 pregnancies were recruited in 1990–92, increasing to 15 247 pregnancies by the age of 18 years. This cohort profile describes the index children of these pregnancies. Follow-up includes 59 questionnaires (4 weeks–18 years of age) and 9 clinical assessment visits (7–17 years of age). The resource comprises a wide range of phenotypic and environmental measures in addition to biological samples, genetic (DNA on 11 343 children, genome-wide data on 8365 children, complete genome sequencing on 2000 children) and epigenetic (methylation sampling on 1000 children) information and linkage to health and administrative records. Data access is described in this article and is currently set up as a supported access resource. To date, over 700 peer-reviewed articles have been published using ALSPAC data.
Subfields: Health, Toxicology and Mutagenesis, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/a4cdc4ef31d0a48224d0f0d99ddbf332850baf62
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In Health, Toxicology and Mutagenesis
In Pediatrics, Perinatology and Child Health
- Stephen Burgess
- J. Bowden
- Deborah Lawlor
- K. Tilling
- George Davey Smith
- J. Heron
- S. Thompson
- Gibran Hemani
In Public Health, Environmental and Occupational Health
Citations in the corpus
- Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data (2014, neutral): “Cardiovascular traits characteristics of studies included in the collaboration (2) .”
- Grip Strength across the Life Course: Normative Data from Twelve British Studies (2014, positive): “2 522 462 200022003 200722010 627 ALSPAC (children of women attending antenatal clinics in Bristol and District Health Authority) [14] 1 7,159 6,701 199121992 200322005 10214 Jamar/seated Six/both/max.”
- Triangulation in aetiological epidemiology (2016, methodology): “We added a negative control study that we undertook for this paper, using data from the ALSPAC study.(67,66) Table 4 summarizes the approaches and the likely key sources of bias for the 1880 International Journal of Epidemiology, 2016, Vol.”
- Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression (2015, methodology): “considered the causal effect of height (standardized) on lung function (measured as forced vital capacity, FVC, measured in ml) using 180 genetic variants as IVs with data on 3631 participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort.(30) These variants were originall”
- A comparison of approaches for assessing covariate effects in latent class analysis (2015, neutral): “ Methods Participants The sample comprised participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) (Boyd et al., 2013; Fraser et al., 2013; Golding, Pembrey, & Jones, 2001).”
- The proportion of missing data should not be used to guide decisions on multiple imputation (2019, methodology): “The authors thank the midwives for their help in recruiting the families and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists, and nurses.”