Polygenic scoring accuracy varies across the genetic ancestry continuum

Y Ding, K Hou, Z Xu, A Pimplaskar, E Petter, K Boulier… - Nature, 2023 - nature.com
Polygenic scores (PGSs) have limited portability across different groupings of individuals (for
example, by genetic ancestries and/or social determinants of health), preventing their …

Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder

A Dahl, M Thompson, U An, M Krebs, V Appadurai… - Nature Genetics, 2023 - nature.com
Biobanks often contain several phenotypes relevant to diseases such as major depressive
disorder (MDD), with partly distinct genetic architectures. Researchers face complex …

Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region

C Caggiano, A Boudaie, R Shemirani, J Mefford… - Nature Medicine, 2023 - nature.com
An individual's disease risk is affected by the populations that they belong to, due to shared
genetics and environmental factors. The study of fine-scale populations in clinical care is …

Genetic risk prediction in Hispanics/Latinos: milestones, challenges, and social-ethical considerations

BL Maldonado, DG Piqué, RC Kaplan, KG Claw… - Journal of Community …, 2023 - Springer
Genome-wide association studies (GWAS) have allowed the identification of disease-
associated variants, which can be leveraged to build polygenic scores (PGSs). Even though …

Leveraging fine-scale population structures for precision healthcare

M Kanai - Nature Medicine, 2023 - nature.com
Leveraging fine-scale population structures for precision healthcare | Nature Medicine Skip to
main content Thank you for visiting nature.com. You are using a browser version with limited …

Interpreting SNP heritability in admixed populations

J Huang, N Kleman, S Basu, MD Shriver, AA Zaidi - bioRxiv, 2024 - pmc.ncbi.nlm.nih.gov
SNP heritability hsnp2 is defined as the proportion of phenotypic variance explained by
genotyped SNPs and is believed to be a lower bound of heritability (h2), being equal to it if …

Phenotypic evaluation of deep learning models for classifying germline variant pathogenicity

RD Chow, KL Nathanson, RB Parikh - NPJ Precision Oncology, 2024 - nature.com
Deep learning models for predicting variant pathogenicity have not been thoroughly
evaluated on real-world clinical phenotypes. Here, we apply state-of-the-art pathogenicity …

[HTML][HTML] Decoding Genetics, Ancestry, and Geospatial Context for Precision Health

S Koyama, Y Wang, K Paruchuri, MM Uddin, SMJ Cho… - medRxiv, 2023 - ncbi.nlm.nih.gov
Abstract Mass General Brigham, an integrated healthcare system based in the Greater
Boston area of Massachusetts, annually serves 1.5 million patients. We established the …

Phenotype integration improves power and preserves specificity in biobank-based genetic studies of MDD

A Dahl, M Thompson, U An, M Krebs, V Appadurai… - bioRxiv, 2022 - biorxiv.org
Biobanks often contain several phenotypes relevant to a given disorder, and researchers
face complex tradeoffs between shallow phenotypes (high sample size, low specificity and …

Population Performance and Individual Agreement of Coronary Artery Disease Polygenic Risk Scores

SA Abramowitz, K Boulier, K Keat, KM Cardone… - medRxiv, 2024 - pmc.ncbi.nlm.nih.gov
Abstract Importance Polygenic risk scores (PRSs) for coronary artery disease (CAD) are a
growing clinical and commercial reality. Whether existing scores provide similar individual …