A Comparative Analysis of Indigenous Research Guidelines to Inform Genomic Research in Indigenous Communities
Notice bibliographique
Résumé
BACKGROUND: Genetic research has potential benefits for improving health, such as identifying molecular characteristics of a disease, understanding disease prevalence and treatment, and developing treatments tailored to patients based on individual genetic characteristics of their disease. Indigenous people are often targeted for genetic research because genes are easier to study in communities that practice endogamy. Therefore, populations perceived to be more homogenous, such as Indigenous peoples, are ideal for genetic studies. While Indigenous communities remain the focal point of many genomic studies, some result in harm and unethical practice. Unfortunately, the harms of poorly formulated and unethical research involving Indigenous people have created barriers to participation that prevent critical and lifesaving research. These harms have led a number of Indigenous communities to develop guidelines for engaging with researchers to assist in safely bridging the gap between genetic research and Indigenous peoples. SPECIFIC AIMS: The specific aims of this study were: (1) to conduct an international review and comparison of Indigenous research guidelines that highlight topics regarding genetics and use of biological samples and identify commonalities and differences among ethical principles of concern to Indigenous peoples; and (2) develop policy recommendations for Indigenous populations interested in creating formal policies around the use of genetic information and protection of biological samples using data from specific aim 1. METHODS: A comparative analysis was performed to identify best research practices and recommendations for Indigenous groups from four countries: Canada, New Zealand, Australia, and the United States. The analysis examined commonalities in political relationships, which support self-determination among these Indigenous communities to control their data. Current international Indigenous guidelines were analyzed to review processes of how genetic research is conducted and the use of biological samples is handled with Indigenous peoples. RESULTS: Results suggest the need for genetic and genomic research policies for the world’s Indigenous people. Indigenous groups are most vulnerable to research exploitation and harm; therefore, identifying principles that work for Indigenous people will lead to best practices for all populations. CONCLUSIONS: Development and implementation of best practices informed by research guidelines in Canada, New Zealand, Australia, and the U.S. may be helpful to advise Indigenous leaders, policy makers, and researchers to the proper conduction of genetic research within Indigenous communities. Comparative analyses are a useful tool for identifying areas for further work in developing genetic research policy for Indigenous communities. OUTCOME: The outcomes of this analysis are relevant and useful to Indigenous communities and inform the development of community-based genetic research guidelines. The recommendations can be used in designing appropriate policies for future genomic research with Indigenous peoples.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».