Rxivist logo

Heritability is essential for understanding the biological causes of disease, but requires laborious patient recruitment and phenotype ascertainment. Electronic health records (EHR) passively capture a wide range of clinically relevant data and provide a novel resource for studying the heritability of traits that are not typically accessible. EHRs contain next-of-kin information collected via patient emergency contact forms, but until now, these data have gone unused in research. We mined emergency contact data at three academic medical centers and identified millions of familial relationships while maintaining patient privacy. Identified relationships were consistent with genetically-derived relatedness. We used EHR data to compute heritability estimates for 500 disease phenotypes. Overall, estimates were consistent with literature and between sites. Inconsistencies were indicative of limitations and opportunities unique to EHR research. These analyses provide a novel validation of the use of EHRs for genetics and disease research.

Download data

  • Downloaded 3,338 times
  • Download rankings, all-time:
    • Site-wide: 4,079
    • In genetics: 153
  • Year to date:
    • Site-wide: 61,815
  • Since beginning of last month:
    • Site-wide: 50,746

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide