Sociogenomics in the 21st Century: An Introduction to the History and Potential of Genetically-informed Social Science

Evaluation of genomic factors and early childhood stimulation on intelligence in children from a Brazilian birth cohort: The primary role of independent factors

BACKGROUND

Childhood cognitive abilities are a predictor of health outcomes and adult income potential. Identifying factors associated with childhood intelligence and their interactions is essential in behavioral research. We assessed the impact of genetic variants and early child stimulation (ECS) on child intelligence and examined their possible interaction as potential modifiers of IQ in a population-based longitudinal study.

METHODS

Participants of the 2004 Pelotas Birth Cohort study (N = 4231) underwent intelligent quotient (IQ) by WISC-III assessment at 6 years of age. At 24 and 48-months, mothers answered five ECS marker questions, whose sum was used to create a score. The polygenic score for intelligence (IQ-PGS) was constructed from the GWAS-weighted estimate of cognition. Association was assessed using multiple linear regression models adjusted for maternal, family, and child confounding variables. To explore the possible influence of skin color and ethnoracial classification, the regression models were stratified according to the skin color variable, as a sensitivity analysis.

RESULTS

In the adjusted analysis, IQ-PGS (β = 0.79, 95% confidence interval [95% CI] 0.26;1.31) as well as ECS (β = 2.34; 95% CI: 1.76;2.92) were associated with IQ in this sample. The association between IQ-PGS and IQ was significant only in the white Brazilian group in the sensitivity analysis. However, there was no interaction between IQ-PGS and ECS on IQ (p(IQ-PGS x ECS) = 0.46).

CONCLUSIONS

ECS did not modify the impact of genetic potential on intellectual development during childhood, suggesting that genetic factors and ECS exert independent effects on the IQ levels of children.

Challenging the utility of polygenic scores for social science: Environmental confounding, downward causation, and unknown biology

The sociogenomics revolution is upon us, we are told. Whether revolutionary or not, sociogenomics is poised to flourish given the ease of incorporating polygenic scores (or PGSs) as "genetic propensities" for complex traits into social science research. Pointing to evidence of ubiquitous heritability and the accessibility of genetic data, scholars have argued that social scientists not only have an opportunity but a duty to add PGSs to social science research. Social science research that ignores genetics is, some proponents argue, at best partial and likely scientifically flawed, misleading, and wasteful. Here, I challenge arguments about the value of genetics for social science and with it the claimed necessity of incorporating PGSs into social science models as measures of genetic influences. In so doing, I discuss the impracticability of distinguishing genetic influences from environmental influences because of non-causal gene-environment correlations, especially population stratification, familial confounding, and downward causation. I explain how environmental effects masquerade as genetic influences in PGSs, which undermines their raison d'être as measures of genetic propensity, especially for complex socially contingent behaviors that are the subject of sociogenomics. Additionally, I draw attention to the partial, unknown biology, while highlighting the persistence of an implicit, unavoidable reductionist genes versus environments approach. Leaving sociopolitical and ethical concerns aside, I argue that the potential scientific rewards of adding PGSs to social science are few and greatly overstated and the scientific costs, which include obscuring structural disadvantages and cultural influences, outweigh these meager benefits for most social science applications.

"Quiet is the New Loud": The Biosociology Debate's Absent Voices

In 2000, a controversial article about hormones and gender roles was published to stimulate debate about whether and how biological knowledge should be integrated in sociological research. Two decades later, this so-called biosociology debate is more relevant than ever, as biological knowledge has become widespread across societies and scientific disciplines. Hence, we as sociologists are regularly confronted with biological explanations that challenge our own explanations. Whether this happens in the scientific arena, the classroom, media, or even at social events, these situations often force us, individually, to take a stance on whether to meet such explanations with dialogue or opposition. One could therefore expect that sociologists have an interest in discussing these issues with their peers, but their lack of participation in the biosociology debate suggests otherwise. This paper explores possible reasons for this absence and how sociologists' views on biosociology are influenced by key agents - sociological associations and journals. Smith's "A Sacred project of American Sociology", and Scott's "A Sociology of Nothing" served as theoretical tools in the paper. A qualitative content analysis of presidential addresses of four sociological associations was conducted. The analyses suggest that sociologist avoid biosociology for widely different reasons, including fear that biosociology legitimizes oppression. This avoidance is probably reinforced by the leftish politization of the sociological discipline and the rightish politization of society. Overcoming obstacles to engagement in biosociology is required to safeguard the scientific integrity of sociology and enable sociologists to provide relevant contributions to research on the Covid-19 pandemic and climate change.

Disentangling Social-Genetic From Rearing-Environment Effects for Alcohol Use Disorder Using Swedish National Data

Investigations of social-genetic effects, whereby a social partner's genotype affects another's outcomes, can be confounded by the influence of the social partner's rearing environment. We used marital information on more than 300,000 couples from Swedish national data to disentangle social-genetic from rearing-environment effects for alcohol use disorder (AUD). Using observational and extended-family designs, we found that (a) marriage to a spouse with a predisposition toward AUD (as indexed by a parental history of AUD) increased risk for developing AUD; (b) this increased risk was not explained by socioeconomic status, the spouse's AUD status, or contact with the spouse's parents; and (c) this increased risk reflected the psychological consequences of the spouse having grown up with an AUD-affected parent (i.e., a rearing-environment effect) rather than a social-genetic effect. Findings illustrate that a spouse's rearing-environment exposures may confer risk for AUD.

Do Plans Really Matter?: Re-Assessing the Role of Adolescent Expectations in Educational Attainment

Stratification research in the status attainment tradition contends that adolescent educational expectations are a central determinant of educational attainment. Little research, however, has assessed the robustness of the powerful expectations-attainment associations revealed in cross-sectional models. Using data from the National Longitudinal Study of Adolescent to Adult Health to estimate OLS, school fixed effects, and sibling fixed effects models, this study examines the association between adolescent expectations and educational attainment. The analysis reveals that adolescent expectations may play a much smaller role in predicting educational attainment than revealed in cross-sectional models. Point estimates of the association between adolescent expectations and educational attainment from sibling fixed effects models are over 50 percent lower than OLS estimates, suggesting that family-level characteristics confound this relationship. Results from these analyses demonstrate that respondents' educational expectations likely exert less influence on educational attainment than status attainment research would suggest.

Genetic risk, body mass index, and weight control behaviors: Unlocking the triad

BACKGROUND

The relationship between genetic risk for body mass index (BMI) and weight control behaviors remains unknown. The objectives of this study were to determine the association between genetic risk for BMI and weight control behaviors in young adults, and to examine actual measured BMI as a potential mediator variable.

METHOD

We analyzed data from three data collection waves of the National Longitudinal Study of Adolescent to Adult Health. The BMI polygenic score (PGS) was based on published genome-wide association studies for BMI. BMI was collected at 11-18 years and 18-26 years. Weight control behaviors included self-reported: (a) weight loss behaviors (dieting, vomiting, fasting/skipping meals, diet pills, laxatives, or diuretic use to lose weight) and (b) weight gain behaviors (eating more or different foods than normal, taking supplements to gain weight).

RESULTS

Among 4,397 participants, the BMI PGS was associated with higher odds of weight loss behaviors in females (OR 1.24, 95% CI 1.14-1.35) and males (OR 1.43, 95% CI 1.26-1.62), and this association was mediated by BMI (indirect effect 0.04, 95% CI 0.03-0.05 in females and 0.03, 95% CI 0.03-0.04 in males). The BMI PGS was associated with lower odds of weight gain behaviors in females and males, which was also mediated by actual BMI.

CONCLUSIONS

The BMI PGS was associated with weight loss behaviors in both males and females, and this association was mediated by actual measured BMI. Clinical interventions to prevent high BMI, particularly for individuals with genetic risk, may also prevent subsequent development of potentially unhealthy weight loss behaviors.