Identification of a pleiotropic effect of ADIPOQ on cardiac dysfunction and Alzheimer’s disease based on genetic evidence and health care records

Hyojung Paik, Junehawk Lee, Chan Seok Jeong, Jun Sung Park, Jeong Ho Lee, Nadav Rappoport, Younghoon Kim, Hee Young Sohn, Chulman Jo, Jimin Kim, Seong Beom Cho

Research output: Contribution to journalArticlepeer-review


Observations of comorbidity in heart diseases, including cardiac dysfunction (CD) are increasing, including and cognitive impairment, such as Alzheimer’s disease and dementia (AD/D). This comorbidity might be due to a pleiotropic effect of genetic variants shared between CD and AD/D. Here, we validated comorbidity of CD and AD/D based on diagnostic records from millions of patients in Korea and the University of California, San Francisco Medical Center (odds ratio 11.5 [8.5–15.5, 95% Confidence Interval (CI)]). By integrating a comprehensive human disease–SNP association database (VARIMED, VARiants Informing MEDicine) and whole-exome sequencing of 50 brains from individuals with and without Alzheimer's disease (AD), we identified missense variants in coding regions including APOB, a known risk factor for CD and AD/D, which potentially have a pleiotropic role in both diseases. Of the identified variants, site-directed mutation of ADIPOQ (268 G > A; Gly90Ser) in neurons produced abnormal aggregation of tau proteins (p = 0.02), suggesting a functional impact for AD/D. The association of CD and ADIPOQ variants was confirmed based on domain deletion in cardiac cells. Using the UK Biobank including data from over 500000 individuals, we examined a pleiotropic effect of the ADIPOQ variant by comparing CD- and AD/D-associated phenotypic evidence, including cardiac hypertrophy and cognitive degeneration. These results indicate that convergence of health care records and genetic evidences may help to dissect the molecular underpinnings of heart disease and associated cognitive impairment, and could potentially serve a prognostic function. Validation of disease–disease associations through health care records and genomic evidence can determine whether health conditions share risk factors based on pleiotropy.

Original languageEnglish
Article number389
JournalTranslational Psychiatry
Issue number1
StatePublished - 1 Dec 2022

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Biological Psychiatry
  • Cellular and Molecular Neuroscience


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