Genetic studies in the social sciences could be augmented through the additional consideration of functional (transcriptome, methylome, metabolome) and/or multimodal genetic data when attempting to understand the genetics of social phenomena. Understanding the biological pathways linking genetics and the environment will allow scientists to better evaluate the functional importance of polygenic scores.

The rapidly increasing number of cases of Zika virus and limited understanding of its congenital sequelae (e.g., microcephaly) led to stories of fear and uncertainty across social media and other mass communication networks. In this study, we used techniques generic to netnography, a form of ethnography, using Internet‐based computer‐mediated communications as a source of data to understand the experience and perceptions of families with infants diagnosed with Zika‐related microcephaly. We screened 27 YouTube™ videos published online between October 2015 and July (...) 2016, during which the Zika epidemic started, peaked, and declined. We identified three themes: (a) experiencing the news of a diagnosis of Zika‐associated microcephaly; (b) experiencing feelings and expectations of the ‘imperfect’ child; and (c) seeking to understand microcephaly to care for the child. We found that families experienced distressing feelings of shock, sadness, hopelessness, and pain, while dealing with emerging and sometimes conflicting information being transmitted by news outlets, uncertainty about the child's health, and healthcare providers’ lack of clarity to guide the family members. The ‘unknown’ factor of ZIKA was an additional stressful factor in the experience of the families. (shrink)

BackgroundThe increased risk of developing attention-deficit hyperactivity disorder (ADHD) in extremely preterm infants is well-documented. Better understanding of perinatal risk factors, particularly those that are modifiable, can inform prevention efforts.MethodsWe examined data from the Extremely Low Gestational Age Newborns (ELGAN) Study. Participants were screened for ADHD at age 10 with the Child Symptom Inventory-4 (N = 734) and assessed at age 15 with a structured diagnostic interview (MINI-KID) to evaluate for the diagnosis of ADHD (N = 575). We studied associations (...) of pre-pregnancy maternal body mass index (BMI), pregestational and/or gestational diabetes, maternal smoking during pregnancy (MSDP), and hypertensive disorders of pregnancy (HDP) with 10-year and 15-year ADHD outcomes. Relative risks were calculated using Poisson regression models with robust error variance, adjusted for maternal age, maternal educational status, use of food stamps, public insurance status, marital status at birth, and family history of ADHD. We defined ADHD as a positive screen on the CSI-4 at age 10 and/or meeting DSM-5 criteria at age 15 on the MINI-KID. We evaluated the robustness of the associations to broadening or restricting the definition of ADHD. We limited the analysis to individuals with IQ ≥ 70 to decrease confounding by cognitive functioning. We evaluated interactions between maternal BMI and diabetes status. We assessed for mediation of risk increase by alterations in inflammatory or neurotrophic protein levels in the first week of life.ResultsElevated maternal BMI and maternal diabetes were each associated with a 55–65% increase in risk of ADHD, with evidence of both additive and multiplicative interactions between the two exposures. MSDP and HDP were not associated with the risk of ADHD outcomes. There was some evidence for association of ADHD outcomes with high levels of inflammatory proteins or moderate levels of neurotrophic proteins, but there was no evidence that these mediated the risk associated with maternal BMI or diabetes.ConclusionContrary to previous population-based studies, MSDP and HDP did not predict ADHD outcomes in this extremely preterm cohort, but elevated maternal pre-pregnancy BMI, maternal diabetes, and perinatal inflammatory markers were associated with increased risk of ADHD at age 10 and/or 15, with positive interaction between pre-pregnancy BMI and maternal diabetes. (shrink)