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HESS (Heritability Estimation from Summary Statistics)

HESS is a Python package that provides utilities for estimating and analyzing local SNP-heritability and genetic covariance from GWAS summary association data. Please see for details.

Releases

• version 0.5.4-beta
• version 0.5.3-beta
• version 0.5.1-beta
• version 0.5-beta
• version 0.3-beta

Updates

November 9, 2017: Updated script to allow for columns of arbitrary order

October 30, 2017: Fixed minor bug in handling loci with no SNP

References

• Local SNP-heritability: Shi, Huwenbo, Gleb Kichaev, and Bogdan Pasaniuc. "Contrasting the genetic architecture of 30 complex traits from summary association data." The American Journal of Human Genetics 99, no. 1 (2016): 139-153.
• Local genetic covariance (correlation): Shi, Huwenbo, Nicholas Mancuso, Sarah Spendlove, and Bogdan Pasaniuc. "Local genetic correlation gives insights into the shared genetic architecture of complex traits." The American Journal of Human Genetics 101, no. 5 (2017): 737-751.

Contact

• Huwenbo Shi: shihuwenbo_AT_ucla.edu
• Bogdan Pasaniuc: bpasaniuc_AT_mednet.ucla.edu