Biorxiv/in press

https://www.biorxiv.org/content/10.1101/2020.09.08.288563v2
(09/09/20; revised 08/13/21)
Dey KK, Kim SS, Gazal S, Nasser J, Engreitz JM, Price AL. Integrative approaches to improve the informativeness of deep learning models for human complex diseases. bioRxiv.

 

https://biorxiv.org/cgi/content/short/2020.09.23.310748v1
(09/24/20)
Schoech AP, Weissbrod O, O’Connor LJ, Patterson N, Shi H, Reshef Y, Price AL. Negative short-range genomic autocorrelation of causal effects on human complex traits. bioRxiv.

 

https://www.biorxiv.org/content/10.1101/2021.05.20.445067v1
(05/21/21)
Kim SS, Jagadeesh K, Dey KK, Shen AZ, Raychaudhuri S, Kellis M, Price AL. Leveraging single-cell ATAC-seq to identify disease-critical fetal and adult brain cell types. bioRxiv.

 

https://www.medrxiv.org/content/10.1101/2022.10.23.22281420v2
https://www.medrxiv.org/content/10.1101/2022.10.23.22281420v3
(11/28/22; revised 05/01/23)
Jiang X, Zhang M, Zhang Y, Inouye M, Holmes C, Price AL**, McVean G**. Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk. medRxiv (accepted in principle, Nat Genet).

 

https://www.medrxiv.org/content/10.1101/2023.09.22.23295969v1 
(09/23/23)
Durvasula, A, Price AL. Distinct explanations underlie gene-environment interactions in the UK Biobank. medRxiv.