EconPapers    
Economics at your fingertips  
 

Phenome-wide association study of loci harboring de novo tandem repeat mutations in UK Biobank exomes

Frank R. Wendt (), Gita A. Pathak and Renato Polimanti
Additional contact information
Frank R. Wendt: University of Toronto
Gita A. Pathak: Yale School of Medicine
Renato Polimanti: Yale School of Medicine

Nature Communications, 2022, vol. 13, issue 1, 1-11

Abstract: Abstract When present in coding regions, tandem repeats (TRs) may have large effects on protein structure and function contributing to health and disease. We use a family-based design to identify de novo TRs and assess their impact at the population level in 148,607 European ancestry participants from the UK Biobank. The 427 loci with de novo TR mutations are enriched for targets of microRNA-184 (21.1-fold, P = 4.30 × 10−5, FDR = 9.50 × 10−3). There are 123 TR-phenotype associations with posterior probabilities > 0.95. These relate to body structure, cognition, and cardiovascular, metabolic, psychiatric, and respiratory outcomes. We report several loci with large likely causal effects on tissue microstructure, including the FAN1-[TG]N and carotid intima-media thickness (mean thickness: beta = 5.22, P = 1.22 × 10−6, FDR = 0.004; maximum thickness: beta = 6.44, P = 1.12 × 10−6, FDR = 0.004). Two exonic repeats FNBP4-[GGT]N and BTN2A1-[CCT]N alter protein structure. In this work, we contribute clear and testable hypotheses of dose-dependent TR implications linking genetic variation and protein structure with health and disease outcomes.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-022-35423-x Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35423-x

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-022-35423-x

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35423-x