Twitter feed reporting on biomedical genetics papers that are limited to European populations, when that information is not in the headline or abstract #BLM
Most GWAS are done in samples of European descent. The purpose of this page is to highlight that many of the top findings in our field have not expanded to other populations. Inspired by the "In mice" twitter. I will also celebrate work done to correct this (eventually).
Preprint alert:
https://t.co/vJGDUO0qc4
TL;DR Biotech practices taking a handful of genetic variants and training a #MachineLearning#ML#AI model are based on unsound science, and will lead to medical discrimination. We demonstrate this with Opioid Dependence (OD)....
Thrilled to share that we received a @PsychScience microgrant to create an open-access, self-audit toolkit for #mentalhealth training programs! It will assess anti-racism & provide recs and resources for actionable change. Thanks @_HGAPS and @EricAYoungstrom for the collaboration
If you or people you know are interested in helping drive this research forward, embracing the power of diversity, using genetics to better understand the biomedical basis of disease, and analyzing large-scale globally diverse datasets to advance health for all, please reach out!
I’m delighted to share some exciting personal news! I'll be starting a lab at MGH this fall that will continue to focus on addressing Eurocentric biases in genomics towards the goal of ensuring that genomic technologies can equitably benefit public health for all
Cool study. I saw your African American results. ABCD is supposed to be a sample with some diversity: What do we need to do to get prs (or other genetic data) adequately powered in that sample?
Hi all, check out our recent work in the ABCD study! We used polygenic risk scores of problematic alcohol use and drinks per week to predict MRI phenotypes in children never exposed to any drug. All results across the whole-brain are made available....
https://t.co/BXuyFhw1oV
We’re very excited to release a Pan-UK Biobank resource of GWAS results today! Building on previous work, this now includes results for 6 diverse ancestry groups, >7,200 phenotypes (+phecodes, +prescriptions), and uses improved methodology. Learn more at https://t.co/a8OJjuCaoD