Typological thinking in human genomics research contributes to the production and prominence of scientific racism

被引:9
作者
Bird, Kevin A. [1 ]
Carlson, Jedidiah [2 ,3 ]
机构
[1] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA
[2] Univ Texas Austin, Dept Integrat Biol, Austin, TX USA
[3] Univ Texas Austin, Dept Populat Hlth, Austin, TX USA
基金
美国国家科学基金会;
关键词
genomics; race; scientific racism; typological thinking; open science; genetic ancestry; GENETIC ANCESTRY; DIVERSITY; CLINES;
D O I
10.3389/fgene.2024.1345631
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Public genomic datasets like the 1000 Genomes project (1KGP), Human Genome Diversity Project (HGDP), and the Adolescent Brain Cognitive Development (ABCD) study are valuable public resources that facilitate scientific advancements in biology and enhance the scientific and economic impact of federally funded research projects. Regrettably, these datasets have often been developed and studied in ways that propagate outdated racialized and typological thinking, leading to fallacious reasoning among some readers that social and health disparities among the so-called races are due in part to innate biological differences between them. We highlight how this framing has set the stage for the racist exploitation of these datasets in two ways: First, we discuss the use of public biomedical datasets in studies that claim support for innate genetic differences in intelligence and other social outcomes between the groups identified as races. We further highlight recent instances of this which involve unauthorized access, use, and dissemination of public datasets. Second, we discuss the memification, use of simple figures meant for quick dissemination among lay audiences, of population genetic data to argue for a biological basis for purported human racial groups. We close with recommendations for scientists, to preempt the exploitation and misuse of their data, and for funding agencies, to better enforce violations of data use agreements.
引用
收藏
页数:8
相关论文
共 56 条
[1]   A variant-centric perspective on geographic patterns of human allele fequency variation [J].
Biddanda, Arjun ;
Rice, Daniel P. ;
Novembre, John .
ELIFE, 2020, 9
[2]  
Bird K. A., 2023, Confronting scientific racism in psychology: lessons from evolutionary biology and genetics
[3]   Bioethics in action and human population genetics research [J].
Brodwin, P .
CULTURE MEDICINE AND PSYCHIATRY, 2005, 29 (02) :145-178
[4]   Counter the weaponization of genetics research by extremists [J].
Jedidiah Carlson ;
Brenna M. Henn ;
Dana R. Al-Hindi ;
Sohini Ramachandran .
Nature, 2022, 610 (7932) :444-447
[5]   The apportionment of citations: a scientometric analysis of Lewontin 1972 [J].
Carlson, Jedidiah ;
Harris, Kelley .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2022, 377 (1852)
[6]   Quantifying and contextualizing the impact of bioRxiv preprints through automated social media audience segmentation [J].
Carlson, Jedidiah ;
Harris, Kelley .
PLOS BIOLOGY, 2020, 18 (09)
[7]  
Caron M. M., 2023, Defining "recklessness" in research misconduct proceedings, Accountability in Research
[8]   Genetic Essentialism: On the Deceptive Determinism of DNA [J].
Dar-Nimrod, Ilan ;
Heine, Steven J. .
PSYCHOLOGICAL BULLETIN, 2011, 137 (05) :800-818
[9]   HUMAN DIVERSITY AND ADAPTATION [J].
DOBZHANSKY, T .
COLD SPRING HARBOR SYMPOSIA ON QUANTITATIVE BIOLOGY, 1950, 15 :385-400
[10]   Ending genetic essentialism through genetics education [J].
Donovan, Brian M. .
HUMAN GENETICS AND GENOMICS ADVANCES, 2022, 3 (01)