Genetic Researchers' Use of and Interest in Research With Diverse Ancestral Groups.

Importance: Genetic researchers must have access to databases populated with data from diverse ancestral groups to ensure research is generalizable or targeted for historically excluded communities. Objective: To determine genetic researchers' interest in doing research with diverse ancestral populations, which database stewards offer adequate samples, and additional facilitators for use of diverse ancestral data. Design, Setting, and Participants: This survey study was conducted from June to December 2022 and was part of an exploratory sequential mixed-methods project in which previous qualitative results informed survey design. Eligible participants included genetic researchers who held US academic affiliations and conducted research using human genetic databases. Exposure: Internet-administered survey to genetic research professionals. Main Outcomes and Measures: The survey assessed respondents' experience and interest in research with diverse ancestral data, perceptions of adequacy of diverse data across database stewards (ie, private, government, or consortia), and identified facilitators for encouraging use of diverse ancestral data. Descriptive statistics, χ2 tests, and z tests were used to describe respondents' perspectives and experiences. Results: A total of 294 researchers (171 men [58.5%]; 121 women [41.2%]) were included in the study, resulting in a response rate of 20.4%. Across seniority level, 109 respondents (37.1%) were senior researchers, 85 (28.9%) were mid-level researchers, 71 (24.1%) were junior researchers, and 27 (9.2%) were trainees. Significantly more respondents worked with data from European ancestral populations (261 respondents [88.8%]) compared with any other ancestral population. Respondents who had not done research with Indigenous ancestral groups (210 respondents [71.4%]) were significantly more likely to report interest in doing so than not (121 respondents [41.2%] vs 89 respondents [30.3%]; P < .001). Respondents reported discrepancies in the adequacy of ancestral populations with significantly more reporting European samples as adequate across consortium (203 respondents [90.6%]), government (200 respondents [89.7%]), and private (42 respondents [80.8%]) databases, compared with any other ancestral population. There were no significant differences in reported adequacy of ancestral populations across database stewards. A majority of respondents without access to adequate diverse samples reported that increasing the ancestral diversity of existing databases (201 respondents [68.4%]) and increasing access to databases that are already diverse (166 respondents [56.5%]) would increase the likelihood of them using a more diverse sample. Conclusions and Relevance: In this survey study of US genetic researchers, respondents reported existing databases only provide adequate ancestral samples for European populations, despite their interest in other ancestral populations. These findings suggest there are specific gaps in access to and composition of genetic databases, highlighting the urgent need to boost diversity in research samples to improve inclusivity in genetic research practices.

The Disproportionate Effects of the COVID-19 Pandemic on the Time Allocation of Recipients of NIH Career Development Awards Who Are Women or Caregivers of Dependents.

PURPOSE: To understand time allocation of a national medical faculty cohort 1.5-2 years after the COVID-19 pandemic began, compared to before. METHOD: From August 2021-April 2022, the authors conducted a retrospective survey of 1,430 clinician-researchers who received National Institutes of Health career-development awards between 2006-2009 asking about domestic and professional time allocation pre-pandemic and at the time of surveys (TOS). Of 915 respondents (64%), the 830 who remained in academic positions constituted the analytic sample. Multivariable regression models identified demographic factors associated with each time outcome and change in time between pre-pandemic and TOS, and having experienced ≥8-hour increase of total self-reported weekly professional work hours and domestic labor hours. RESULTS: Median self-reported weekly professional work hours were 55 hours/week pre- pandemic and 60 at TOS. On multivariable analysis, significant predictors of self-reported weekly professional work hours at TOS were having a non-child other dependent (+2.6 hours, P = .03), academic rank (associate -3.1 hours, assistant -9.0 hours; P < .001), and specialty (P < .001). Average self-reported TOS weekly domestic-labor hours were 23.1 among men and 30.2 among women (P < .001). Predictors of total self-reported TOS weekly domestic hours were being a woman (+5.6 hours; P < .001) and having children requiring supervision (+10.2 hours; P < .001). Overall, 9.3% of men (42/450) and 21.6% of women (88/407) experienced a ≥ 8 hour increase in domestic labor (P < .001). On multivariable analysis, women had higher odds of substantial domestic-labor increase (OR = 2.33, 95% CI: 1.47, 3.68), as did those with children requiring supervision (OR = 1.93, 95% CI: 1.25, 2.98) or other dependents (OR = 1.83, 95% CI: 1.13, 2.98). CONCLUSIONS: This study illuminates demands on women and faculty with dependents during the COVID-19 pandemic and suggests increased flexibility and resources are of heightened importance.