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Are there causal relationships between attention-deficit/hyperactivity disorder and body mass index? Evidence from multiple genetically informed designs.

Authors :
Liu, Chao-Yu
Schoeler, Tabea
Davies, Neil M
Peyre, Hugo
Lim, Kai-Xiang
Barker, Edward D
Llewellyn, Clare
Dudbridge, Frank
Pingault, Jean-Baptiste
Source :
International Journal of Epidemiology. Apr2021, Vol. 50 Issue 2, p496-509. 14p.
Publication Year :
2021

Abstract

<bold>Background: </bold>Attention-deficit/hyperactivity disorder (ADHD) and body mass index (BMI) are associated. However, it remains unclear whether this association reflects causal relationships in either direction or confounding. Here, we implemented genetically informed methods to examine bidirectional causality and potential confounding.<bold>Methods: </bold>Three genetically informed methods were employed: (i) cross-lagged twin-differences analyses to assess bidirectional effects of ADHD symptoms and BMI at ages 8, 12, 14 and 16 years in 2386 pairs of monozygotic twins from the Twins Early Development Study (TEDS); (ii) within- and between-family ADHD and BMI polygenic score (PS) analyses in 3320 pairs of dizygotic TEDS twins; and (iii) two-sample bidirectional Mendelian randomization (MR) using summary statistics from genome-wide association studies (GWAS) on ADHD (N = 55,374) and BMI (N = 806,834).<bold>Results: </bold>Mixed results were obtained across the three methods. Twin-difference analyses provided little support for cross-lagged associations between ADHD symptoms and BMI over time. PS analyses were consistent with bidirectional relationships between ADHD and BMI, with plausible time-varying effects from childhood to adolescence. MR findings also suggested bidirectional causal effects between ADHD and BMI. Multivariable MR indicated the presence of substantial confounding in bidirectional relationships.<bold>Conclusions: </bold>The three methods converged to highlight multiple sources of confounding in the association between ADHD and BMI. PS and MR analyses suggested plausible causal relationships in both directions. Possible explanations for mixed causal findings across methods are discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03005771
Volume :
50
Issue :
2
Database :
Academic Search Index
Journal :
International Journal of Epidemiology
Publication Type :
Academic Journal
Accession number :
150395017
Full Text :
https://doi.org/10.1093/ije/dyaa214