Back

Twin studies with unmet assumptions are biased towards genetic heritability

Dalmaijer, E. S.

2020-08-28 genetics
10.1101/2020.08.27.270801 bioRxiv
Show abstract

For a century [1,2], studies of monozygotic and dizygotic twins have yielded estimates of trait heritability. The clever logic behind them is that while both types of twins share environments, their genetic overlap is different. Hence, larger trait correlations between monozygotic compared to dizygotic twins indicate heritability (nature), whereas similar correlations indicate shared environmental influences (nurture), and low correlations indicate shaping through non-shared environments (external influences and measurement error). While many have written on the assumptions that both types of twins share equal environments [3-5], and that parental genetics and environment are independent [6,7]; fewer have put their data where their mouth is. Here, the impacts of unmet assumptions were investigated using a generative mixture model of twin phenotypes. The results indicated that violations of the equal environments assumption yielded large overestimations of heritability and underestimations of shared environmental influences. On the other hand, when parental genetics shaped twins shared environments, only minor non-linear biases against heritability emerged. Finally, realistic levels of measurement error uniformly depressed estimates for genetic and shared environmental factors. In sum, twin studies are particularly susceptible to overestimation of genetic and non-shared environmental influences. This bias could explain why some traits, such as attitudes towards property taxes [8], show suspiciously high heritability without a biologically plausible mechanism. Particularly in the context of traits with convincing mechanisms of cultural transmission [9-11] and complex gene-environment interactions [6], researchers should not allow biases in twin studies to overestimate heritability.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 11%
15.4%
2
Biology Letters
66 papers in training set
Top 0.1%
10.9%
3
Scientific Reports
3102 papers in training set
Top 5%
10.6%
4
Biochemical and Biophysical Research Communications
78 papers in training set
Top 0.1%
5.1%
5
Genes
126 papers in training set
Top 0.1%
4.5%
6
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 2%
4.1%
50% of probability mass above
7
Frontiers in Genetics
197 papers in training set
Top 2%
3.8%
8
PLOS Genetics
756 papers in training set
Top 7%
2.2%
9
Physical Review Letters
43 papers in training set
Top 0.3%
1.8%
10
Forensic Science International: Genetics
24 papers in training set
Top 0.1%
1.7%
11
American Journal of Epidemiology
57 papers in training set
Top 0.9%
1.3%
12
European Journal of Human Genetics
49 papers in training set
Top 0.8%
1.3%
13
International Journal of Obesity
25 papers in training set
Top 0.5%
1.0%
14
PLOS Computational Biology
1633 papers in training set
Top 21%
1.0%
15
Royal Society Open Science
193 papers in training set
Top 3%
1.0%
16
Genetic Epidemiology
46 papers in training set
Top 0.7%
0.9%
17
Behavior Genetics
15 papers in training set
Top 0.1%
0.9%
18
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 7%
0.9%
19
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 5%
0.9%
20
BMC Public Health
147 papers in training set
Top 5%
0.9%
21
Translational Psychiatry
219 papers in training set
Top 4%
0.9%
22
Human Molecular Genetics
130 papers in training set
Top 3%
0.9%
23
Biophysical Journal
545 papers in training set
Top 4%
0.9%
24
European Child & Adolescent Psychiatry
14 papers in training set
Top 0.3%
0.9%
25
Nature Communications
4913 papers in training set
Top 60%
0.8%
26
Developmental Cognitive Neuroscience
81 papers in training set
Top 0.5%
0.8%
27
Behavioral Ecology and Sociobiology
34 papers in training set
Top 0.5%
0.8%
28
Epidemiology and Infection
84 papers in training set
Top 3%
0.8%
29
Human Genetics and Genomics Advances
70 papers in training set
Top 0.7%
0.8%
30
Neuropsychopharmacology
134 papers in training set
Top 2%
0.8%