Censorship in genetic epidemiology: What does it look like? by Marie-Pierre Dube

mariepierredube — 2025-07-23 15:59:01 UTC

Censorship is an ethical and social issue in research. Censorship in research arises when you feel you cannot express your opinion, results, cannot discuss freely, and many other aspects. In genetic epidemiology research, do you face censorship? Do you feel that you cannot express your research opinion? Tell us whatever comes to your mind, and feel free to list examples or short censorship stories you faced. (Add your comments using the "+" button)

mariepierredube — 2025-08-25 12:57:33 UTC

Hesitation to engage in public science communication on complex genetic topics

mariepierredube — 2025-08-25 12:58:42 UTC

Colleagues discouraging research on sensitive genetic associations

mariepierredube — 2025-08-25 12:59:02 UTC

Industry partnerships influencing which findings get emphasized or downplayed

2025-09-01 11:33:35 UTC

Government interference based on political agendas that discourages research in underserved populations or topics that do not align with political agendas.

mariepierredube — 2025-09-01 12:28:32 UTC

Speaking against/questioning quotas for certain groups is not socially accepted and this creates resentment and poorer results.

mariepierredube — 2025-09-01 12:28:54 UTC

One problem is publishing results that go against commercial interests. Paper supporting more drug prescriptions: great. Paper supporting discontinuation of drug prescription: mmmh might not make friends…

mariepierredube — 2025-09-01 12:29:20 UTC

Having to change language of key terms when pursuing grant funding opportunities.

2025-09-02 06:25:13 UTC

being discouraged from collaborations because of not having institutional support for the administrative burden of setting up data-sharing agreements etc.

2025-09-02 09:55:55 UTC

If scientific methodology and facts are not acknowledged, this can result in censorship and misrepresentation of scientific results.

2025-09-02 11:55:46 UTC

Sometimes I obtain modest results, negative or contradictory to what is known, but I am discouraged by the upper management/advisor because the paper will not have a great impact and to avoid controversy.

2025-09-02 11:58:45 UTC

Population structure analysis in some populations reveals individual origins that some people are not happy with. This leads to censoring that information.