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Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children

BACKGROUND: It is often assumed that selection (including participation and dropout) does not represent an important source of bias in genetic studies. However, there is little evidence to date on the effect of genetic factors on participation. METHODS: Using data on mothers (N = 7486) and children...

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Autores principales: Taylor, Amy E, Jones, Hannah J, Sallis, Hannah, Euesden, Jack, Stergiakouli, Evie, Davies, Neil M, Zammit, Stanley, Lawlor, Debbie A, Munafò, Marcus R, Davey Smith, George, Tilling, Kate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124613/
https://www.ncbi.nlm.nih.gov/pubmed/29800128
http://dx.doi.org/10.1093/ije/dyy060
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author Taylor, Amy E
Jones, Hannah J
Sallis, Hannah
Euesden, Jack
Stergiakouli, Evie
Davies, Neil M
Zammit, Stanley
Lawlor, Debbie A
Munafò, Marcus R
Davey Smith, George
Tilling, Kate
author_facet Taylor, Amy E
Jones, Hannah J
Sallis, Hannah
Euesden, Jack
Stergiakouli, Evie
Davies, Neil M
Zammit, Stanley
Lawlor, Debbie A
Munafò, Marcus R
Davey Smith, George
Tilling, Kate
author_sort Taylor, Amy E
collection PubMed
description BACKGROUND: It is often assumed that selection (including participation and dropout) does not represent an important source of bias in genetic studies. However, there is little evidence to date on the effect of genetic factors on participation. METHODS: Using data on mothers (N = 7486) and children (N = 7508) from the Avon Longitudinal Study of Parents and Children, we: (i) examined the association of polygenic risk scores for a range of sociodemographic and lifestyle characteristics and health conditions related to continued participation; (ii) investigated whether associations of polygenic scores with body mass index (BMI; derived from self-reported weight and height) and self-reported smoking differed in the largest sample with genetic data and a subsample who participated in a recent follow-up; and (iii) determined the proportion of variation in participation explained by common genetic variants, using genome-wide data. RESULTS: We found evidence that polygenic scores for higher education, agreeableness and openness were associated with higher participation; and polygenic scores for smoking initiation, higher BMI, neuroticism, schizophrenia, attention-deficit hyperactivity disorder (ADHD) and depression were associated with lower participation. Associations between the polygenic score for education and self-reported smoking differed between the largest sample with genetic data [odds ratio (OR) for ever smoking per standard deviation (SD) increase in polygenic score: 0.85, 95% confidence interval (CI): 0.81, 0.89} and subsample (OR: 0.96, 95% CI: 0.89, 1.03). In genome-wide analysis, single nucleotide polymorphism based heritability explained 18–32% of variability in participation. CONCLUSIONS: Genetic association studies, including Mendelian randomization, can be biased by selection, including loss to follow-up. Genetic risk for dropout should be considered in all analyses of studies with selective participation.
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spelling pubmed-61246132018-09-10 Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children Taylor, Amy E Jones, Hannah J Sallis, Hannah Euesden, Jack Stergiakouli, Evie Davies, Neil M Zammit, Stanley Lawlor, Debbie A Munafò, Marcus R Davey Smith, George Tilling, Kate Int J Epidemiol Genetic Epidemiology BACKGROUND: It is often assumed that selection (including participation and dropout) does not represent an important source of bias in genetic studies. However, there is little evidence to date on the effect of genetic factors on participation. METHODS: Using data on mothers (N = 7486) and children (N = 7508) from the Avon Longitudinal Study of Parents and Children, we: (i) examined the association of polygenic risk scores for a range of sociodemographic and lifestyle characteristics and health conditions related to continued participation; (ii) investigated whether associations of polygenic scores with body mass index (BMI; derived from self-reported weight and height) and self-reported smoking differed in the largest sample with genetic data and a subsample who participated in a recent follow-up; and (iii) determined the proportion of variation in participation explained by common genetic variants, using genome-wide data. RESULTS: We found evidence that polygenic scores for higher education, agreeableness and openness were associated with higher participation; and polygenic scores for smoking initiation, higher BMI, neuroticism, schizophrenia, attention-deficit hyperactivity disorder (ADHD) and depression were associated with lower participation. Associations between the polygenic score for education and self-reported smoking differed between the largest sample with genetic data [odds ratio (OR) for ever smoking per standard deviation (SD) increase in polygenic score: 0.85, 95% confidence interval (CI): 0.81, 0.89} and subsample (OR: 0.96, 95% CI: 0.89, 1.03). In genome-wide analysis, single nucleotide polymorphism based heritability explained 18–32% of variability in participation. CONCLUSIONS: Genetic association studies, including Mendelian randomization, can be biased by selection, including loss to follow-up. Genetic risk for dropout should be considered in all analyses of studies with selective participation. Oxford University Press 2018-08 2018-05-23 /pmc/articles/PMC6124613/ /pubmed/29800128 http://dx.doi.org/10.1093/ije/dyy060 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the International Epidemiological Association. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Genetic Epidemiology
Taylor, Amy E
Jones, Hannah J
Sallis, Hannah
Euesden, Jack
Stergiakouli, Evie
Davies, Neil M
Zammit, Stanley
Lawlor, Debbie A
Munafò, Marcus R
Davey Smith, George
Tilling, Kate
Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children
title Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children
title_full Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children
title_fullStr Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children
title_full_unstemmed Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children
title_short Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children
title_sort exploring the association of genetic factors with participation in the avon longitudinal study of parents and children
topic Genetic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124613/
https://www.ncbi.nlm.nih.gov/pubmed/29800128
http://dx.doi.org/10.1093/ije/dyy060
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