Excited to see our new paper published in AJHG. We release R package r2redux that allows formal statistical comparison of two polygenic score models, providing the 95% confidence interval and significance of R2 difference. authors.elsevier.com/c/1gUCageX6KJk…

1. r2redux can do a statistical test for comparing non-nested models, like Vuong test (en.wikipedia.org/wiki/Vuong%27s…).

2. r2redux can also do a statistical test for nested models, like LRT (en.wikipedia.org/wiki/Likelihoo…). 3. R-based test (i.e. using correlation, not R^2) can provide biased statistical test for comparing polygenic score models whether they are nested or non-nested.

Cross-ancestry genetic architecture and prediction for cholesterol traits medrxiv.org/cgi/content/sh… #medRxiv

Cross-ancestry genetic architecture and prediction for cholesterol traits medrxiv.org/content/10.110…

Cross-ancestry genetic architecture and prediction for cholesterol traits medrxiv.org/content/10.110…

Cross-ancestry genetic architecture and prediction for cholesterol traits medrxiv.org/content/10.110…

Our new paper published in Nature Communications shows how to get an unbiased estimate of genetic correlation between diverse ancestry cohorts, accounting for ancestry-specific genetic architecture. rdcu.be/c5e4H

"Here, we present a method to construct a genomic relationship matrix (GRM) that can correctly account for the relationship between ancestry-specific allele frequencies and ancestry-specific allelic effects." nature.com/articles/s4146…

"For obesity, the estimated genetic correlation between African and European ancestry cohorts is significantly different from unity, suggesting that obesity is genetically heterogenous between these two ancestries."

PhD scholarship opportunity on statistical genomic analysis of MND with us at the Australian Centre for Precision Health, University of South Australia. Apply by 23 February 2023 here: unisa.edu.au/research/degre…

Join us for Md Moksedul Momin's @CvasuMomin talk at #GeneMappers2023 on a novel method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data. #GeneMappers2023

GxE PRS: Genotype-environment interaction in polygenic risk score models for quantitative and binary traits biorxiv.org/content/10.110…

R2ROC: An efficient method of comparing two or more correlated AUC from out-of-sample prediction using polygenic scores biorxiv.org/content/10.110…

🚀 Our R2ROC approach beats DeLong's method in efficiency! ⚡️ With up to 150-fold reduction in computation time, it's perfect for large-scale analyses and seamless integration into machine learning frameworks. 📈#Research #MachineLearning #DataAnalysis #Efficiency

🌟 **Join Our Lab wzhoulab.com as a Postdoc!🌟 Passionate about developing and applying novel statistical methods to study genetics of disease progression and integrating omics data? Explore exciting opportunities and apply now: shorturl.at/ahIY3 or email me🧬

The newly published article will help in the development of clinical strategies for the polygenic prediction of cholesterol in cross-ancestral settings. rdcu.be/dCIha

Check out our latest paper "R2ROC: an efficient method of comparing two or more correlated AUC from out-of-sample prediction using polygenic scores" just published! with Md Moksedul Momin, PhD and Naomi Wray Read more here: rdcu.be/dLsFl #PolygenicScores #AUC #MachineLearning

Our latest paper "R2ROC: an efficient method of comparing two or more correlated AUC from out-of-sample prediction using polygenic scores" just published! grateful to my PhD supervisor S Hong Lee and to Naomi Wray Read more here: rdcu.be/dLsFl #AUC #MachineLearning

Please check out our new manuscript extending the GREML methodology to quantify assortative mating and other forms of trait-associated genetic structures. Thanks to all our co-authors and the study participants! Here: nature.com/articles/s4158…