Functional regulatory variants implicate distinct transcriptional networks in dementia

Author:

Cooper Yonatan A.123ORCID,Teyssier Noam4,Dräger Nina M.4,Guo Qiuyu3ORCID,Davis Jessica E.5ORCID,Sattler Sydney M.4ORCID,Yang Zhongan3ORCID,Patel Abdulsamie3,Wu Sarah3,Kosuri Sriram5ORCID,Coppola Giovanni36ORCID,Kampmann Martin47ORCID,Geschwind Daniel H.18910ORCID

Affiliation:

1. Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.

2. Medical Scientist Training Program, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.

3. Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095, USA.

4. Institute for Neurodegenerative Diseases, University of California, San Francisco, CA 94158, USA.

5. Department of Chemistry and Biochemistry, University of California, Los Angeles, CA 90095, USA.

6. Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.

7. Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94143, USA.

8. Program in Neurogenetics, Department of Neurology, University of California, Los Angeles, CA 90095, USA.

9. Center for Autism Research and Treatment, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90095, USA.

10. Institute of Precision Health, University of California, Los Angeles, CA 90095, USA.

Abstract

Predicting the function of noncoding variation is a major challenge in modern genetics. In this study, we used massively parallel reporter assays to screen 5706 variants identified from genome-wide association studies for both Alzheimer’s disease (AD) and progressive supranuclear palsy (PSP), identifying 320 functional regulatory variants (frVars) across 27 loci, including the complex 17q21.31 region. We identified and validated multiple risk loci using CRISPR interference or excision, including complement 4 ( C4A ) and APOC1 in AD and PLEKHM1 and KANSL1 in PSP. Functional variants disrupt transcription factor binding sites converging on enhancers with cell type–specific activity in PSP and AD, implicating a neuronal SP1-driven regulatory network in PSP pathogenesis. These analyses suggest that noncoding genetic risk is driven by common genetic variants through their aggregate activity on specific transcriptional programs.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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