GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background
Nasa Sinnott-ArmstrongiD, Sahin NaqviiD, Manuel A. RivasiD, Jonathan K. PritchardiD
Abstract
Genome-wide association studies (GWAS) have been used to study the genetic basis of a wide variety of complex diseases and other traits. We describe UK Biobank GWAS results for three molecular traits--urate, IGF-1, and testosterone--with better-understood biology than most other complex traits. We find that many of the most significant hits are readily and surprisingly interpretable. We observe huge enrichment of associations near genes involved in the relevant biosynthesis, transport, or signaling pathways. We show how GWAS data illuminate the biology of each trait, including differences in testosterone regulation between females and males. At the same time, even these molecular traits are highly polygenic, with many thousands of variants spread across the genome contributing to trait variance. In summary, for these three molecular traits we identify strong enrichment of signal in putative core gene sets, even while most of the SNP-based heritability is driven by a massively polygenic background.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 156
- FWCI
- 15.54
- Field percentile
- top 1%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Phenome-wide search for pleiotropic loci highlights key genes and molecular pathways for human complex traits
Anton E. Shikov, Rostislav K. Skitchenko, … Yury A. Barbitoff·Scientific ReportsPeer-reviewed·Jan 23, 2020
- Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation
Courtney J. Smith, Nasa Sinnott-Armstrong, … Jonathan K. Pritchard·eLifePeer-reviewed·Sep 7, 2022
- A global view of pleiotropy and genetic architecture in complex traits
Kyoko Watanabe, Sven Stringer, … Daniëlle Posthuma·Nature GeneticsPeer-reviewed·Aug 19, 2019
- Mendelian Randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits
Eleonora Porcu, Sina Rüeger, … René Luijk·Nature CommunicationsPeer-reviewed·Jul 24, 2019
- A large-scale genome-wide enrichment analysis identifies new trait-associated genes, pathways and tissues across 31 human phenotypes
Xiang Zhu, Matthew Stephens·Nature CommunicationsPeer-reviewed·Oct 15, 2018
- Limited overlap of eQTLs and GWAS hits due to systematic differences in discovery
Hakhamanesh Mostafavi, Jeffrey P. Spence, … Jonathan K. Pritchard·bioRxiv·May 7, 2022