Back

Mental Health, Schooling Attainment and Polygenic Scores: Are There Significant Gene-Environment Associations?

Amin, V.; Behrman, J. R.; Fletcher, J. M.; Flores, C. A.; Flores-Lagunes, A.; Kohler, H. P.

2019-06-27 genomics
10.1101/684688 bioRxiv
Show abstract

It is well-established that (1) there is a large genetic component to mental health, and (2) higher schooling attainment is associated with better mental health. Given these two observations, we test the hypothesis that schooling may attenuate the genetic predisposition to poor mental health. Specifically, we estimate associations between a polygenic score (PGS) for depressive symptoms, schooling attainment and gene-environment (GxE) interactions with mental health (depressive symptoms and depression), in two distinct United States datasets at different adult ages-29 years old in the National Longitudinal Study of Adolescent Health (Add Health) and 54 years old in the Wisconsin Longitudinal Study (WLS). OLS results indicate that the association of the PGS with mental health is similar in Add Health and the WLS, but the association of schooling attainment is much larger in Add Health than in the WLS. There is some suggestive evidence that the association of the PGS with mental health is lower for more-schooled older individuals in the WLS, but there is no evidence of any significant GxE associations in Add Health. Quantile regression estimates also show that in the WLS the GxE associations are statistically significant only in the upper parts of the conditional depressive symptoms score distribution. We assess the robustness of the OLS results to omitted variable bias by using the siblings samples in both datasets to estimate sibling fixed-effect regressions. The sibling fixed-effect results must be qualified, in part due to low statistical power. However, the sibling fixed-effect estimates show that college education is associated with fewer depressive symptoms in both datasets.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Genetic Epidemiology
46 papers in training set
Top 0.1%
15.1%
2
PLOS ONE
4510 papers in training set
Top 20%
9.4%
3
Behavior Genetics
15 papers in training set
Top 0.1%
8.7%
4
Scientific Reports
3102 papers in training set
Top 16%
6.6%
5
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 13%
5.0%
6
Frontiers in Genetics
197 papers in training set
Top 1%
4.4%
7
Social Science & Medicine
15 papers in training set
Top 0.2%
3.7%
50% of probability mass above
8
International Journal of Epidemiology
74 papers in training set
Top 0.7%
3.2%
9
Human Molecular Genetics
130 papers in training set
Top 1%
2.1%
10
The American Journal of Human Genetics
206 papers in training set
Top 2%
2.1%
11
PLOS Genetics
756 papers in training set
Top 7%
2.1%
12
GENETICS
189 papers in training set
Top 0.4%
2.1%
13
Genetics
225 papers in training set
Top 2%
1.9%
14
Journal of the American Heart Association
119 papers in training set
Top 3%
1.7%
15
Evolution
199 papers in training set
Top 1%
1.7%
16
Epigenetics
43 papers in training set
Top 0.5%
1.4%
17
G3 Genes|Genomes|Genetics
351 papers in training set
Top 2%
1.4%
18
eLife
5422 papers in training set
Top 48%
1.3%
19
PLOS Computational Biology
1633 papers in training set
Top 20%
1.1%
20
Genes
126 papers in training set
Top 2%
1.0%
21
Behavioral Neuroscience
25 papers in training set
Top 0.2%
0.9%
22
Nature Human Behaviour
85 papers in training set
Top 3%
0.9%
23
Evolutionary Applications
91 papers in training set
Top 1%
0.8%
24
PNAS Nexus
147 papers in training set
Top 2%
0.8%
25
Epidemiology
26 papers in training set
Top 0.5%
0.8%
26
Evolution Letters
71 papers in training set
Top 2%
0.8%
27
Nature Genetics
240 papers in training set
Top 7%
0.8%
28
Developmental Science
15 papers in training set
Top 0.2%
0.7%
29
F1000Research
79 papers in training set
Top 5%
0.7%
30
Journal of Evolutionary Biology
98 papers in training set
Top 1.0%
0.7%