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Updates every hour. Last Updated: 16-Jun-2026 01:16 ET (16-Jun-2026 05:16 GMT/UTC)
A new Yale-led study provides one of the most detailed and comprehensive analyses to date of genetic variation in human populations in Oceania, filling a major gap in representation in genomics research.
Despite harboring remarkable diversity, populations in this vast region in the South Pacific historically have been overlooked in global human genetic studies, which have often focused largely on peoples of European descent, researchers say.
“The drastic underrepresentation of Oceanians limits our understanding of human evolution and could exacerbate health inequalities as genomic research is used to develop novel medical treatments” said the lead author Serena Tucci, assistant professor of anthropology in Yale’s Faculty of Arts and Sciences and the principal investigator of the Yale Human Evolutionary Genomics Laboratory. “To fill that gap, my research team embarked on a large-scale project to expand what is known about human genetic variation, including genetic variants inherited from extinct hominins.”
The study, published on June 11 in the journal Science, shows how the genes that ancient humans acquired after mating with extinct hominins continue to shape the biology, health, and survival of our species today.
A new study suggests that variables linked to socioeconomic status (SES) – such as increased stress and reduced sleep – have strong relationships to brain structure and function in children. “Although previous work has found that socioeconomics can affect brain structure and function, [these authors] demonstrate these effects with notable scale and consistency,” write Lucinda M. Sisk and Theodore D. Satterthwaite in a related Perspective. Brain-wide association studies (BWAS) examine how variability in brain structure or function across many people relates to differences in behavior, mental health, or environmental exposures. Such studies often evaluate brain measures such as functional connectivity and cortical thickness, which vary in individuals and can change over time. Here, Scott Marek et al. sought to identify which exposures (from 649 different variables) were most strongly associated with functional connectivity and cortical thickness in a sample of youth aged 9 to 10 from the Adolescent Brain Cognitive Development (ABCD) Study.
The authors found that a composite of factors related to SES – like family income and neighborhood opportunity – were most strongly associated with functional connectivity. Such SES-associated differences in functional connectivity were strongest in brain regions involved in sensory and motor processing, where screen time and reduced sleep – both linked to lower socioeconomic status – showed strongest associations. Because these brain regions are related to arousal, and because arousal operates as a regulator of brain activity, it is possible socioeconomic status–related stressors may alter arousal patterns over time, producing lasting differences in brain function, say the authors. Marek and colleagues saw the same patterns when they replicated their study in a sample from the UK Biobank (95% white British, white Irish, or other white background). Combined with analyses stratified by genetic ancestry in the original youth sample, these findings indicate that the brain differences associated with socioeconomic factors are unrelated to genetic ancestry, say the authors. Marek and colleagues note that it “remains unclear when strong associations between the brain and SES first emerge or when environmental interventions may be most beneficial,” but “socioeconomic opportunity is not destiny." Any patterns established during sensitive periods of growth may not be permanent. Leading candidates for bolstering brain function and structure may be interventions related to sleep and chronic stress. The findings highlight the need for societal-level policies that provide early support for families, say Sisk and Satterthwaite in the Perspective.
Podcast: A segment of Science's weekly podcast with Scott Marek, related to this research, will be available on the Science.org podcast landing page after the embargo lifts. Reporters are free to make use of the segments for broadcast purposes and/or quote from them – with appropriate attribution (i.e., cite "Science podcast"). Please note that the file itself should not be posted to any other Web site.
A Stanford-led study based on two decades of satellite data finds California could cut deadly pollution from wildfire smoke by 20% in active fire years by expanding use of prescribed fire in conifer forests each year.
The COVID-19 pandemic did not push nurses out of hospitals or other care settings as feared, but nurses left their primary jobs at nearly double the rate from 2018 to 2022, a new University of Michigan study found.