Multiple causal variants underlie genetic associations in humans

Author:

Abell Nathan S.1ORCID,DeGorter Marianne K.2ORCID,Gloudemans Michael J.3,Greenwald Emily1ORCID,Smith Kevin S.2ORCID,He Zihuai45,Montgomery Stephen B.12ORCID

Affiliation:

1. Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA.

2. Department of Pathology, School of Medicine, Stanford University, Stanford, CA 94305, USA.

3. Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA.

4. Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.

5. Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA 94305, USA.

Abstract

Associations between genetic variation and traits are often in noncoding regions with strong linkage disequilibrium (LD), where a single causal variant is assumed to underlie the association. We applied a massively parallel reporter assay (MPRA) to functionally evaluate genetic variants in high, local LD for independent cis-expression quantitative trait loci (eQTL). We found that 17.7% of eQTLs exhibit more than one major allelic effect in tight LD. The detected regulatory variants were highly and specifically enriched for activating chromatin structures and allelic transcription factor binding. Integration of MPRA profiles with eQTL/complex trait colocalizations across 114 human traits and diseases identified causal variant sets demonstrating how genetic association signals can manifest through multiple, tightly linked causal variants.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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