Loading...
Thumbnail Image
Publication

Leveraging Base Pair Mammalian Constraint to Understand Genetic Variation and Human Disease [preprint]

Sullivan, Patrick F
Meadows, Jennifer R S
Gazal, Steven
Phan, BaDoi N
Li, Xue
Genereux, Diane P
Dong, Michael X
Bianchi, Matteo
Andrews, Gregory
Sakthikumar, Sharadha
... show 10 more
Embargo Expiration Date
Abstract

Although thousands of genomic regions have been associated with heritable human diseases, attempts to elucidate biological mechanisms are impeded by a general inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function that is agnostic to cell type or disease mechanism. Here, single base phyloP scores from the whole genome alignment of 240 placental mammals identified 3.5% of the human genome as significantly constrained, and likely functional. We compared these scores to large-scale genome annotation, genome-wide association studies (GWAS), copy number variation, clinical genetics findings, and cancer data sets. Evolutionarily constrained positions are enriched for variants explaining common disease heritability (more than any other functional annotation). Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease.

Source

Sullivan PF, Meadows JRS, Gazal S, Phan BN, Li X, Genereux DP, Dong MX, Bianchi M, Andrews G, Sakthikumar S, Nordin J, Roy A, Christmas MJ, Marinescu VD, Wallerman O, Xue JR, Li Y, Yao S, Sun Q, Szatkiewicz J, Wen J, Huckins LM, Lawler AJ, Keough KC, Zheng Z, Zeng J, Wray NR, Johnson J, Chen J; Zoonomia Consortium; Paten B, Reilly SK, Hughes GM, Weng Z, Pollard KS, Pfenning AR, Forsberg-Nilsson K, Karlsson EK, Lindblad-Toh K. Leveraging Base Pair Mammalian Constraint to Understand Genetic Variation and Human Disease. bioRxiv [Preprint]. 2023 Mar 10:2023.03.10.531987. doi: 10.1101/2023.03.10.531987. PMID: 36945512; PMCID: PMC10028973.

Year of Medical School at Time of Visit
Sponsors
Dates of Travel
DOI
10.1101/2023.03.10.531987
PubMed ID
36945512
Other Identifiers
Notes

This article is a preprint. Preprints are preliminary reports of work that have not been certified by peer review.

Funding and Acknowledgements
Corresponding Author
Related Resources

Now published in Science, doi: https://doi.org/10.1126/science.abn2937

Related Resources
Repository Citation
Rights
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.Attribution 4.0 International