An atlas of genetic scores to predict multi-omic traits.

doi:10.1038/s41586-023-05844-9

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Article

An atlas of genetic scores to predict multi-omic traits.

Nature - 1 Apr 2023

Xu Yu, Ritchie Scott C, Liang Yujian, Timmers Paul R H J, Pietzner Maik, Lannelongue Loïc, Lambert Samuel A, Tahir Usman A, May-Wilson Sebastian, Foguet Carles, Johansson Åsa, Surendran Praveen, Nath Artika P, Persyn Elodie, Peters James E, Oliver-Williams Clare, Deng Shuliang, Prins Bram, Luan Jian'an, Bomba Lorenzo, Soranzo Nicole, Di Angelantonio Emanuele, Pirastu Nicola, Tai E Shyong, van Dam Rob M, Parkinson Helen, Davenport Emma E, Paul Dirk S, Yau Christopher, Gerszten Robert E, Mälarstig Anders, Danesh John, Sim Xueling, Langenberg Claudia, Wilson James F, Butterworth Adam S, Inouye Michael

Abstract excerpt

The use of omic modalities to dissect the molecular underpinnings of common diseases and traits is becoming increasingly common. But multi-omic traits can be genetically predicted, which enables highly cost-effective and powerful analyses for studies that do not have multi-omics1. Here we examine a large cohort (the INTERVAL study2; n = 50,000 participants) with extensive multi-omic data for plasma proteomics...

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Identifiers

PMID: 36991119
DOI: 10.1038/s41586-023-05844-9
PMCID: PMC10323211

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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