Genetic factors explain some of the variation
in a wide range of people's political attitudes and economic decisions – such
as preferences toward environmental policy and financial risk taking – but most
associations with specific genetic variants are likely to be very small,
according to a new study led by Cornell University economics professor Daniel
Benjamin.
The
research team arrived at the conclusion after studying a sample of about 3,000
subjects with comprehensive genetic data and information on economic and
political preferences. The researchers report their findings in "The
Genetic Architecture of Economic and Political Preferences," published by
the Proceedings of the National Academy of Sciences Online
Early Edition, May 7, 2012.
The
study showed that unrelated people who happen to be more similar genetically
also have more similar attitudes and preferences. This finding suggests that
genetic data - taken as a whole – could eventually be moderately predictive of economic
and political
preferences.
The
study also found evidence that the effects of individual genetic variants are
tiny, and these variants are scattered across the genome. Given what is
currently known, the molecular genetic data has essentially no predictive power
for the 10 traits studied, which included preferences toward environmental
policy, foreign affairs, financial risk and economic fairness.
This
conclusion is at odds with dozens of previous papers that have reported large
genetic associations with such traits, but the present study included ten times
more participants than the previous studies.
"An
implication of our findings is that most published associations with political
and economic outcomes are probably false positives. These studies are
implicitly based on the incorrect assumption that there are common genetic
variants with large effects," said Benjamin. "If you want to find
genetic variants that account for some of the differences between people in
their economic and political behavior, you need samples an order of magnitude
larger than those presently used," he added.
The
research team concluded that it may be more productive in future research to
focus on behaviors that are more closely linked to specific biological systems,
such as nicotine addiction, obesity, and emotional reactivity, and are
therefore likely to have stronger associations with specific genetic variants.
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