Back

Genetic confounding in the associations between maternal health and autism

Arildskov, E. S.; Ahlqvist, V. H.; Khachadourian, V.; Asgel, Z.; Schendel, D.; Hansen, S. N.; Grove, J.; Janecka, M.

2026-04-17 epidemiology
10.64898/2026.04.16.26351033 medRxiv
Show abstract

The etiology of autism is influenced by genetic and non-genetic factors, with observational studies suggesting associations between early maternal health diagnoses and offspring autism. However, these associations may partly reflect shared familial genetic liability rather than direct causal effects. Using comprehensive national health registers and individual-level genetic data from the iPSYCH cohort (N=117,542), we examined whether maternal health diagnoses are associated with offspring polygenic scores (PGS) for autism. Such associations between maternal health and offspring autism would indicate shared genetic factors and the possibility of genetic confounding in the observational associations. We also tested such associations with PGSs for other neuropsychiatric and neurodevelopmental conditions that are genetically correlated with autism, but with better-powered PGS (due to larger GWAS sample sizes and likely more polygenic genetic architecture), as well as height, a negative control. Several maternal diagnoses were nominally associated with autism PGS in the child, including, e.g., certain obstetric complications, asthma, and obesity. After adjustment for multiple testing, the only statistically significant results included those between maternal diagnoses, predominantly psychiatric, and other neuropsychiatric and neurodevelopmental PGSs in the child. Sensitivity analyses confirmed the robustness of our results across exposure windows, diagnostic settings, and socioeconomic adjustments. These findings indicate that maternal diagnoses associated with autism partially reflect shared genetic liabilities between mothers and their children. However, such genetic effects, as captured by child PGS do not fully explain the observed associations, suggesting additional factors, including e.g., non-genetic familial factors, rare variants, and indirect effects.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
International Journal of Epidemiology
74 papers in training set
Top 0.2%
8.8%
2
Cell Genomics
162 papers in training set
Top 0.7%
6.1%
3
Nature Communications
4913 papers in training set
Top 31%
6.1%
4
eLife
5422 papers in training set
Top 19%
4.7%
5
Nature Genetics
240 papers in training set
Top 2%
4.2%
6
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 22%
3.5%
7
Science
429 papers in training set
Top 9%
3.5%
8
The American Journal of Human Genetics
206 papers in training set
Top 1%
3.5%
9
Autism Research
32 papers in training set
Top 0.2%
3.5%
10
Journal of Child Psychology and Psychiatry
25 papers in training set
Top 0.1%
3.1%
11
npj Genomic Medicine
33 papers in training set
Top 0.2%
2.5%
12
Psychological Medicine
74 papers in training set
Top 0.8%
2.4%
50% of probability mass above
13
Molecular Autism
29 papers in training set
Top 0.2%
2.4%
14
Scientific Reports
3102 papers in training set
Top 48%
2.3%
15
Science Advances
1098 papers in training set
Top 14%
2.0%
16
Journal of Medical Genetics
28 papers in training set
Top 0.2%
2.0%
17
American Journal of Psychiatry
20 papers in training set
Top 0.1%
1.8%
18
PLOS Medicine
98 papers in training set
Top 2%
1.7%
19
The British Journal of Psychiatry
21 papers in training set
Top 0.6%
1.6%
20
Genetic Epidemiology
46 papers in training set
Top 0.5%
1.6%
21
BMC Medicine
163 papers in training set
Top 4%
1.6%
22
Biological Psychiatry
119 papers in training set
Top 2%
1.6%
23
Translational Psychiatry
219 papers in training set
Top 3%
1.6%
24
Science Translational Medicine
111 papers in training set
Top 4%
1.3%
25
Biological Psychiatry Global Open Science
54 papers in training set
Top 0.9%
1.3%
26
Nature Medicine
117 papers in training set
Top 3%
1.3%
27
JAMA Psychiatry
13 papers in training set
Top 0.3%
1.3%
28
Brain, Behavior, and Immunity
105 papers in training set
Top 2%
1.1%
29
Molecular Psychiatry
242 papers in training set
Top 3%
0.9%
30
Human Molecular Genetics
130 papers in training set
Top 3%
0.9%