National Academies: We can’t define “race,” so stop using it in science

An image of two female eyes.

With the advent of genomics research, it has become increasingly clear that human genetic history is one of churn. Populations have migrated everywhere they have gone, intermixed and fragmented, leaving us with a complex genetic legacy. The environment, such as disease, diet, and technology, also played an important role in shaping the population.

However, this understanding often sees genetics as a determinant and too often contradicts popular understandings that interpret genetics. genetics in terms of RaceWorse yet, while race cannot be defined or quantified scientifically, popular thinking has reverted to scientific thinking, dictating the types of research we do and how we interpret the results. It’s shaping

These are some of the conclusions of a new report produced by the National Academy of Sciences. The report, produced at the request of the National Institutes of Health (NIH), urges scientists and the institutions that fund them to stop thinking of genetics in terms of race and instead look at it scientifically. We ask you to focus on what you can decide.

Racial thinking in science

I can’t wait for your report. Genetic data reveal that the popular understanding of race, developed during a time when white supremacy was widely accepted, makes no sense at all. ” represents a single homogeneous group. However, genomic data reveal that people in sub-Saharan Africa are the most genetically diverse on the planet.

And, like anywhere else, the region’s population fluctuates. Although some groups remained isolated from each other, the vast Bantu expansion affected most of the continent. A history of interaction with Middle Eastern traders is found in many groups along the coast of East Africa. There is also a tendency to treat African Americans the same as Africans. African Americans often have a heritage of genetic admixture with European populations rather than by selection.

The same applies to all populations surveyed, regardless of where they live on Earth. It makes no scientific sense to treat any of these populations as a monolithic homogeneous group, or race.

But scientists have done it in myriad ways. In some cases, the reasons are well-intentioned, such as prioritizing the diversity of the population involved in medical research. In other cases, scientists have inadvertently allowed societal views of race to influence their research. Finally, true followers of racial essentialism have always twisted scientific results to support their views.

The NIH, the largest funder of biomedical research on the planet, seeks to diversify both the researchers it funds and the participants who volunteer to participate in these studies, while at the same time increasing our commitment to genetics. are forced to navigate a growing understanding of Therefore, the NIH commissioned the National Academies to prepare this report. This is perhaps in the hope of providing evidence-based guidelines on how to manage competing pressures.

time to go

The resulting report sheds light on why racial thinking needs to go away. Race and chemistry Provides welcome clarity on the issue.

In humans, race is a socially constructed designation, a misleading and harmful proxy for population genetic differences, and falsely identified as the primary genetic reason for phenotypic differences between groups. has a long history of Rather, human genetic variation is the result of many forces, historical, social, and biological, and no single variable fully describes this complexity. Although the structure of genetic variation arises through repeated admixture and migration of human populations, the misconception that humans can be naturally divided into biologically distinct races is highly resilient and scientific research , in medical practice and technology, and in formal education. .

The results of racial thinking are problematic in many ways. Historically, we have treated race as conveying some essential characteristics.Thinking of population in terms of race tends to evoke an essentialist view of it. Islamist thinking also tends to undermine recognition of the important role that environmental and social factors play in shaping populations.

The report also notes that the racial baggage of science leads to sloppy thinking. Scientists often write in broad racial terms when they are studying much more specific population groups, and refer to racial groups even when it is not clear whether the information is relevant to their results. These trends have become increasingly untenable as race has become much better at directly measuring what it was meant to represent, such as genetic distance between individuals.

where from here

The report offers more than 10 suggestions on what the research community should do to establish a more solid scientific foundation when conducting genetic and genomic research. They are based on three key principles: avoiding essentialist thinking, including environmental influences, and engaging the community involved in genetic research.

Some of the key recommendations focus on eliminating the use of race, instead focusing on what the report calls “demographic descriptors.” These may be ethnicity, region of residence, etc. However, these descriptors should be used in a very different way than the way race is used. For one thing, researchers should be willing to use multiple descriptors rather than an overly broad single category to cover everyone. The descriptors themselves should be limited to information relevant to the scientific question being asked. In other words, even if a descriptor were applied, it’s not worth mentioning if it’s not relevant.

Furthermore, researchers should use these descriptors at the individual level rather than choosing descriptors that apply to the study population as a whole. This allows even selected populations to no Being diverse (such as indigenous peoples on islands) almost certainly involves diversity.

Finally, researchers should explain why the descriptors used were chosen and the criteria used to assign them to individual participants. In general, rather than allowing researchers to unconsciously adopt social ideas about race, these recommendations are intended to force researchers to think about why and how these factors are relevant to their research. is configured to

Furthermore, the report seeks to restore awareness of the importance of environmental factors. Geneticists have tended to focus on genetic factors for obvious reasons, but that focus has led to a tendency to pay lip service to the importance of environmental influences. We recommend measuring environmental impacts directly as part of your design to ensure that these are properly taken into account.

Finally, the report recognizes that researchers are unlikely to adopt these recommendations on their own. As such, we provide a set of recommendations for funding bodies and journal publishers intended to implement best practices. It also recommends enhanced communication between the research community and research populations to limit the casual adoption of societal prejudices.

juggling act

This report provides an excellent framework that will enable the NIH to change the way it does business regarding the types of research NIH supports and acceptable methods. But the NIH will undoubtedly face many challenges in doing so. For example, it is part of the United States government, which operates in a society where race is still very important, even if there is no scientific basis for it. A ranking will almost certainly be set, and the NIH will need to do this, and may need to force researchers to do so.

For example, most government agencies employ five categories devised by the Office of Management and Budget. Black or African American; American Indian or Alaska Native; Asian; and Native Hawaiian or other Pacific Islander. And it’s very difficult to square them with the minimal descriptors that this report calls for.

But even if governments struggle to control some of the report’s recommendations, the scientific community and the journals in which it is published see no reason to avoid them. ‘s failure reveals that it’s just bad science.

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