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Accurate and Efficient Estimation of Local Heritability using Summary Statistics and LD Matrix -- Demo datasets for the HEELS tutorials

<p>We introduced a new estimator for local heritability, &quot;HEELS&quot;, which attains comparable statistical efficiency as the REML estimator (such as those produced by GCTA and BOLT-REML) but&nbsp;only requires summary-level statistics &ndash; Z-scores from marginal association tests and the empirical LD. Our method has been implemented into&nbsp;an open-source Python-based command line tool.&nbsp;</p> <p>The datasets released here can be downloaded to test the two main functions of our software package: 1) estimating local heritability; 2) computing the low-dimensional representation of the LD matrix. They are meant to accompany the HEELS tutorials we have posted onto the wiki pages of our github repository: https://github.com/huilisabrina/HEELS/wiki.</p> <p>&nbsp;</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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