Heritability of voting

By Razib Khan | June 27, 2008 4:39 pm

I just read an interesting new paper, Genetic Variation in Political Participation:

The decision to vote has puzzled scholars for decades…The results show that a significant proportion of the variation in voting turnout can be accounted for by genes. We also replicate these results with data from the National Longitudinal Study of Adolescent Health and show that they extend to a broad class of acts of political participation. These are the first findings to suggest that humans exhibit genetic variation in their tendency to participate in political activities.

Here’s a figure which really cuts to the chase:
twinspolitics.jpg


Notice the greater dispersion of dizygotic (fraternal) twins? It is visually pretty clear that monozygotic (identical) twins are correlated to a greater degree. And of course the coefficient of relatedness of monozygotic twins is ~ 1.0 while that of dizogyotic twins is ~0.50. Here’s an important section:

The results of the ACE model suggest that 53% of the variance in turnout behavior can be accounted for by additive genetic effects (h2). The 95% credible interval (C.I.) for the estimate is (10%, 89%), indicating that we can reject the hypothesis that genes do not contribute to variation in turnout. The ACE model also suggests that the environment is important, with the shared environment (c2) accounting for about 35% of the variance (C.I. 2%, 73%) and the unshared environment (e2) accounting for 12% (C.I. 3%, 26%)….

Here’s what the “ACE” model comes from:
σ2P = σ2A + σ2C + σ2E
COVMZ = σ2A + σ2C
COVDZ = 1/2σ2A + σ2C
Galton-height-regress.jpgIf you’ve read my posts on quantitative genetics you know what all the symbols and scripts refer to. If you haven’t, just focus on the “A,” the additive genetic variance. What’s additive genetic variance? It’s the variance that accounts for narrow sense variability. It’s the variation of genes within a population which accounts for variation of a trait when you exclude the dominance and epistatic components of variance. Get it? If not, just look at the chart to the left and the note the “line of best fit,” the additive genetic variation just describes the slope of that line when you regress offspring trait value on those of their parents. If it is a line of slope 1 that indicates that heritability is perfect, and you can predict offspring trait value perfectly from that of the parent. If the slope is 0, that means there is no predictive value and the trait value of the offspring is due to components of variance such as environment.
But, I do want to emphasize that heritability does not tell us how “genetic” a trait is, it is a way to describe how well we can predict offspring trait value from that of the parents in a situation where there is a variation within the population. In an environment of nutritional deprivation the heritability of height can be lower than 0.50, while in the modern world it is closer to 0.80 or 0.90. This does not mean that height is “more genetic” in the latter case than the former, it tells us that there is more environmental noise when you have much more variation across those inputs. When nutrition is controlled for by definition most of the remaining variation will be heritable; obviously genes aren’t effected by better nutrition (to the first approximation, I know about epigenetics, etc.!).
I’ve blogged about the heritability of political ideology before, and most of my comments apply here. Saying that about 1/2 of the variation in voter turnout might be due to additive genetic variation is the first step in generating for a proper & nuanced model of reality, not a number which settles any specific question. The fact that many other personality and behavioral traits exhibit heritabilities on the order of 0.50 should also allow us to gauge the plausibility of this particular finding. Here are the authors touching upon objections to twin studies:

MZ and DZ environments are comparable, arguing that the identical nature of MZ twins cause them to be more strongly affiliated and more influenced by one another than their non-identical DZ counterparts. If so, then greater concordance in MZ twins might merely reflect the fact that their shared environments cause them to become more similar than DZ twins. However, studies of twins raised together have been validated by studies of twins reared apart…suggesting that the shared environment does not exert enhanced influence on MZ twins. Moreover, personality and cognitive differences between MZ and DZ twins persist even among twins whose zygosity has been miscategorized by their parents…indicating that being mistakenly treated as an identical twin by one’s parents is not sufficient to generate the difference in concordance. And, although MZ twins are sometimes in more frequent contact with each other than DZ twins, it appears that twin similarity (e.g., in attitudes and personality) may cause greater contact rather than vice versa…Finally, contrary to the expectation that the influence of the unshared environment would tend to decrease concordance over time once twins reach adulthood,MZ twins living apart tend to become more similar with age….

Ultimately my own interest in this topic is the transition from behavior genetics to behavior genomics. For example, see Heritability of the Ultimatum Game and DRD4, politics & friendship (same author). The main issue here is that it seems like that a large proportion of the above variance is due to QTLs of very small effect which are going to be hard to pick up. It isn’t as if there are “genes for voter turnout,” as it is it seems likely that that a host of genetically influenced upstream behavior propensities leads to whether you invest your marginal time in voting or not. So the genetic architecture of political variation might be elucidated more by focusing on its behavioral subcomponents.

CATEGORIZED UNDER: Genetics
  • tom bri

    I would be interested to see how intelligence intersects here. I suspect that higher voting rates reflect higher intelligence.

  • http://network.nature.com/blogs/user/boboh Bob O’H

    The 95% credible interval (C.I.) for the estimate is (10%, 89%), indicating that we can reject the hypothesis that genes do not contribute to variation in turnout.

    *bangs head against wall*
    This is rubbish. The only way to reject the hypothesis of no variation with a confidence or credible interval is to see if it overlaps zero. But with a variance has a minimum of zero, so the interval can’t overlap zero.
    What this result says to me is that there’s little information in the data. Just a quick calculation shows that this would be close to a Beta(2,2) distribution. i.e. the distribution of the probability of a “success” if we observed one success and one failure. In other words, it’s as good as the information you get from two coin flips.
    Looking at the figures, it’s really difficult to separate out the common environment from the genetic variance.

  • http://www.scienceblogs.com/gnxp razib

    yes, hard to separate, but:
    However, studies of twins raised together have been validated by studies of twins reared apart…suggesting that the shared environment does not exert enhanced influence on MZ twins. Moreover, personality and cognitive differences between MZ and DZ twins persist even among twins whose zygosity has been miscategorized by their parents
    as i hope i made clear, this study is pretty much just a small piece in a much bigger body of work which consistently shows around 1/2 additive gen. variance on a whole host of behavioral (personality) traits. until recently the subject matter has been on questions of interest only to psychologists, but not any more….

  • marsv

    Yeah
    The number of potential predictors on the unshared component tends to defy mathematical capture in the same way any social science continues to do. The arrow of inference in twin studies will always seem a bit wobbly for me, despite the fair (albeit tenuous) empirical support for the ‘comparable environments’ assumption. Needless to say it’s not the genetic part that’s the problem.
    Exhaustion of measurable space with behavioral terms (on the environment side) is still the immovable obstacle; way, way more annoying in my opinion than the additivity question on the genetic side. The fact that so many other behavioral traits do show a genetic component may work against salience of any chosen variable as strongly as it inures to plausibility.
    Not to be a negative ned – Word on the street is that accelerating advances in machine learning and computing power are returning some very good progress in the way of mapping and transforming language and other sense-mediated behavior. Sure it’s all tied up in the Intertoobz, but hey, its not like an eventual mind-body-machine analytic interface is all that silly to talk about anymore.
    I imagine such “subcomponents” of political and behavioral proclivities will be due all-new praxeological descriptions, with categories like “intelligence” or “conscientiousness” or “patience” undergoing major calibrations of meaning. These terms may seem cogent now, but then again, so did terms such as “Agree Somewhat,” “Return on Equity,” or “GPA” at certain points in the recent history of measuring banality.
    So, like, yeah. Factor analysis, like, principal components, super-duper identification, like all up in spheres and clusters and shit. Repositivism, or something. I’m just saying.

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This blog is about evolution, genetics, genomics and their interstices. Please beware that comments are aggressively moderated. Uncivil or churlish comments will likely get you banned immediately, so make any contribution count!

About Razib Khan

I have degrees in biology and biochemistry, a passion for genetics, history, and philosophy, and shrimp is my favorite food. In relation to nationality I'm a American Northwesterner, in politics I'm a reactionary, and as for religion I have none (I'm an atheist). If you want to know more, see the links at http://www.razib.com

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