Nature Genetics, Journal Year: 2024, Volume and Issue: 56(12), P. 2596 - 2597
Published: Nov. 25, 2024
Language: Английский
Nature Genetics, Journal Year: 2024, Volume and Issue: 56(12), P. 2596 - 2597
Published: Nov. 25, 2024
Language: Английский
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 17, 2025
Abstract Deep learning sequence models trained on personalized genomics can improve variant effect prediction, however, applications of these are limited by computational requirements for storing and reading large datasets. We address this with GenVarLoader, which stores genomic data in new memory-mapped formats optimal locality to achieve ∼1,000x faster throughput ∼2,000x better compression compared existing alternatives.
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 11, 2024
A bstract The genome-wide burdens of deletions, loss-of-function mutations, and duplications correlate with many traits. Curiously, for most these traits, variants that decrease expression have the same average direction effect as increase expression. This seemingly contradicts intuition that, at individual genes, reducing should opposite on a phenotype increasing To understand this paradox, we introduce concept called gene dosage response curve (GDRC) relates changes in to expected phenotype. We show GDRCs are systematically biased one trait relative other and, surprisingly, 40% non-monotone, large increases decreases affecting direction. develop simple theoretical model explains bias Our results broad implications complex drug discovery, statistical genetics.
Language: Английский
Citations
3Nature Genetics, Journal Year: 2024, Volume and Issue: 56(12), P. 2596 - 2597
Published: Nov. 25, 2024
Language: Английский
Citations
0