The growing number of genetic studies has produced important discoveries about human health and behavior, but new research from Oxford University suggests that scientific development is limited by the lack of diversity. They show that those who are studying in genetic discovery, are seen in large numbers in European descent, but for the first time the subjects are declared that the UK, the US. And is centered in some countries like Iceland and has specific demographic characteristics. The authors cautiously that this lack of diversity can have an understanding of genetic discovery and potentially huge effects for apps.
Published the study Communications Biology Time contributes to a rich understanding of the many aspects of shaping demographic bias. Around 4,000 scientific studies were reviewed in the work between 2005 and 2018, which is compiled by the NHGRI-ABI GWS Catalog, which includes all Genetic Wide Association Studies (GSAs) on today.
These studies have identified multiple genetic groups related to diseases like Type 2 diabetes, Alzheimer's, mental disorders, physical, behavioral, and mental symptoms. The number of people studied in the study, the number and strength of the explosion was examined, and the study (or & # 39; phenotypes & # 39;) was studied with the increase and difference of the number. It was also seen who was studying ancestors background, geographic location and demographic, but researchers were researching, including the characteristics of networks and researchers.
Despite the increase in the size of the sample, depending on the number of numbers, and the diseases studied and the genetic findings, the findings from the research show that ethnic diversity has been stalled and non-white groups are still very large.
By expanding the research in this field, they show that this time has changed significantly and when groups of non-European descent are included, they are often only "copying" results against basic new genetic findings. Proceeding through ethnic diversity, the authors have predicted for the first time that the data used in 72 percent (often repeatedly) has come from individuals recruited from just three countries; UK (40%), US (19%), and Iceland (12%). Data is not only geographical concentration, but more than expected anticipated data for older people, women and some of the most widely used data, it also shows high socioeconomic status and subjects with better health.
Professor Melinda Mills (MBE FBA), professor of social science and sociology professor, said: "The lack of ancestral variety in the field of genetic research is constantly worrisome, but has given less attention to the geographical and demographic characteristics of the people, who studied them. Genetic discovery provides attractive medical possibilities, but Without the increase in the diversity of those who are studying and living in the environment, the use and refinement of this research is limited. The results are intricate interactions between genes and the environment – or in other words, education by nature and nurture-even though most of the inventions have been taken from the population. Which is very similar, with limited environmental variation. "
The authors analyzed the main funding of this work (mainly UK and US Sources) and declared sexual inequalities in scientific authorship, which estimates that 70% of the writers in senior "last author" are male. They also provide evidence of tough navy core networks scattered around the data access providers, such as the researchers working with the investigators of circulatory groups and senior members of large biopharmaceutical companies. They offer numerous core policy recommendations for editors, funds and policy makers. This includes: Various variations and prioritization of strategies for monitoring diversity, alerts on interpretation of genetic differences between the ancestral groups, requests for local participation involvement, and strategies to improve the motivation structure involved in the role of authorship, data ownership and access.
Professor Mills adds: "We can use different types of data, and for the first time, we can combine them in new ways to experimentally demonstrate the intrinsic sector of this important research area. It is our hope that 10 proof-based policy recommendations will continue to be the strength of the current genomic revolution Proceed to increase. & # 39;
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