Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits.

doi:10.1038/s41467-021-27258-9

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Article

Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits.

Nature communications - 30 Nov 2021

Patxot Marion, Banos Daniel Trejo, Kousathanas Athanasios, Orliac Etienne J, Ojavee Sven E, Moser Gerhard, Holloway Alexander, Sidorenko Julia, Kutalik Zoltan, Mägi Reedik, Visscher Peter M, Rönnegård Lars, Robinson Matthew R

Abstract excerpt

We develop a Bayesian model (BayesRR-RC) that provides robust SNP-heritability estimation, an alternative to marker discovery, and accurate genomic prediction, taking 22 seconds per iteration to estimate 8.4 million SNP-effects and 78 SNP-heritability parameters in the UK Biobank. We find that only ≤10% of the genetic variation captured for height, body mass index, cardiovascular disease, and type 2 diabetes is...

Topics

Bayes Theorem
Body Height
Body Mass Index
Cardiovascular Diseases
Diabetes Mellitus, Type 2
Genetic Techniques
Genetic Variation
Genome-Wide Association Study
Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Genotype

Humans

Introns

Models, Statistical

Multifactorial Inheritance

Open Reading Frames

Phenotype

Software

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Identifiers

PMID: 34848700
DOI: 10.1038/s41467-021-27258-9
PMCID: PMC8633298

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