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Multi-ancestry GWAS of Long COVID identifiesimmune-related loci and etiological links to chronic fatigue syndrome, fibromyalgia and depression

Chaudhary, N. S.; Weldon, C. H.; Nandakumar, P.; 23andMe Research Team, ; Holmes, M. V.; Aslibekyan, S.

2024-10-09 genetic and genomic medicine
10.1101/2024.10.07.24315052 medRxiv
Show abstract

The etiology of Long COVID is poorly understood despite its estimated global burden of 65 million cases. There exists a paucity of genetic studies that can shed light on potential mechanisms leading to Long COVID. Using consented and genotyped data from 23andMe adult research participants, we conducted the largest multi-ancestry meta-analysis of genome-wide association studies of Long COVID across European (42,899 cases, 94,721 controls), Latinx (8,631 cases, 20,351 controls), and African-American (2,234 cases, 5,596 controls) genetic ancestry groups. GWAS of Long COVID identified three genome-wide significant loci (HLA-DQA1-HLA-DQB, ABO, BPTF-KPAN2-C17orf58). Functional analysis of these genes points to underlying immune and thrombo-inflammatory mechanisms. We present evidence of shared genetic architecture (genetic correlation p-value < 0.001) of Long COVID with thirteen phenotypes of similar symptomatology or pathophysiology. We identified potential causal roles from liability to chronic fatigue (Mendelian randomization OR=1.59, 95% CI[1.51,1.66]), fibromyalgia (OR=1.54, 95% CI[1.49,1.60]), and depression (OR=1.53, 95% CI[1.46,1.61]) with Long COVID, which replicated in the COVID-19 Host Genetics Initiative data, and which are unlikely to originate from collider bias. These findings can help identify populations vulnerable to Long COVID and inform future therapeutic approaches.

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