2016
Taking race out of human genetics
Abstract: Engaging a century-long debate about the role of race in science
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Cited by 600 publications
(388 citation statements)
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“…3, Tables S2, S3 ) ancestry individuals. Notably, the finding of significant effective dilution for AFR ancestry patients, aligns with existing literature indicating that Black patients with mood disorders are more likely to be misdiagnosed with schizophrenia 2,3 ; as we anticipate a correlation between the distinct concepts of genetically-inferred ancestry and race 20,21 . However, we caution that hidden confounders, such as socioeconomic status and other environmental factors, can bias heritability estimates of a trait and dilute effect sizes as well 22,23 .…”
Section: Resultssupporting
confidence: 87%
“…3, Tables S2, S3 ) ancestry individuals. Notably, the finding of significant effective dilution for AFR ancestry patients, aligns with existing literature indicating that Black patients with mood disorders are more likely to be misdiagnosed with schizophrenia 2,3 ; as we anticipate a correlation between the distinct concepts of genetically-inferred ancestry and race 20,21 . However, we caution that hidden confounders, such as socioeconomic status and other environmental factors, can bias heritability estimates of a trait and dilute effect sizes as well 22,23 .…”
Section: Resultssupporting
confidence: 87%
“…This suggests an alternative mechanism of effect for the positive association between Hispanic ethnicity and hospitalization, possibly including socioeconomic factors. This interpretation is consistent with the burgeoning scientific consensus that vast majority of variation in health outcomes by race/ethnicity is the result of socioeconomic disparity resulting from structural inequality rather than genetic differences between culturally-designated racial groups [32][33][34][35][36]. The same could be true of our observation of a trend toward increased mortality in African American patients.…”
Section: Discussionsupporting
confidence: 90%
“…There does, however, seem to be increasing consensus that a survey approach with binary assessment of gender and five race categories is (1) a flawed approach to assessing diversity, (2) out of step with the evolving science and not a good reflection on a leading neurobiological science organization, and (3) does not send a message of inclusion. Our general thinking aligns with the statement by Yudell et al [ 24 ] related to race-based categorization: “It is time for biologists to find a better way.”…”
Section: Introductionsupporting
confidence: 82%
