Algorithmic fairness in artificial intelligence for medicine and healthcare
In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …
Principles and methods for transferring polygenic risk scores across global populations
Polygenic risk scores (PRSs) summarize the genetic predisposition of a complex human trait
or disease and may become a valuable tool for advancing precision medicine. However …
or disease and may become a valuable tool for advancing precision medicine. However …
Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores
Polygenic risk scores suffer reduced accuracy in non-European populations, exacerbating
health disparities. We propose PolyPred, a method that improves cross-population …
health disparities. We propose PolyPred, a method that improves cross-population …
Challenges and opportunities for developing more generalizable polygenic risk scores
Polygenic risk scores (PRS) estimate an individual's genetic likelihood of complex traits and
diseases by aggregating information across multiple genetic variants identified from genome …
diseases by aggregating information across multiple genetic variants identified from genome …
A new method for multiancestry polygenic prediction improves performance across diverse populations
Polygenic risk scores (PRSs) increasingly predict complex traits; however, suboptimal
performance in non-European populations raise concerns about clinical applications and …
performance in non-European populations raise concerns about clinical applications and …
[HTML][HTML] Public human microbiome data are dominated by highly developed countries
The importance of sampling from globally representative populations has been well
established in human genomics. In human microbiome research, however, we lack a full …
established in human genomics. In human microbiome research, however, we lack a full …
[PDF][PDF] Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research: Experiences from the NHLBI TOPMed program
How race, ethnicity, and ancestry are used in genomic research has wide-ranging
implications for how research is translated into clinical care and incorporated into public …
implications for how research is translated into clinical care and incorporated into public …
Extremely sparse models of linkage disequilibrium in ancestrally diverse association studies
P Salehi Nowbandegani, AW Wohns, JL Ballard… - Nature Genetics, 2023 - nature.com
Linkage disequilibrium (LD) is the correlation among nearby genetic variants. In genetic
association studies, LD is often modeled using large correlation matrices, but this approach …
association studies, LD is often modeled using large correlation matrices, but this approach …
[HTML][HTML] Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics
Polygenic risk scores (PRS) calculated from genome-wide association studies (GWAS) of
Europeans are known to have substantially reduced predictive accuracy in non-European …
Europeans are known to have substantially reduced predictive accuracy in non-European …
Algorithm fairness in ai for medicine and healthcare
In the current development and deployment of many artificial intelligence (AI) systems in
healthcare, algorithm fairness is a challenging problem in delivering equitable care. Recent …
healthcare, algorithm fairness is a challenging problem in delivering equitable care. Recent …