Protein prediction for trait mapping in diverse populations.

doi:10.1371/journal.pone.0264341

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

Protein prediction for trait mapping in diverse populations.

PloS one - 1 Jan 2022

Schubert Ryan, Geoffroy Elyse, Gregga Isabelle, Mulford Ashley J, Aguet Francois, Ardlie Kristin, Gerszten Robert, Clish Clary, Van Den Berg David, Taylor Kent D, Durda Peter, Johnson W Craig, Cornell Elaine, Guo Xiuqing, Liu Yongmei, Tracy Russell, Conomos Matthew, Blackwell Tom, Papanicolaou George, Lappalainen Tuuli, Mikhaylova Anna V, Thornton Timothy A, Cho Michael H, Gignoux Christopher R, Lange Leslie, Lange Ethan, Rich Stephen S, Rotter Jerome I, Manichaikul Ani, Im Hae Kyung, Wheeler Heather E

Abstract excerpt

Genetically regulated gene expression has helped elucidate the biological mechanisms underlying complex traits. Improved high-throughput technology allows similar interrogation of the genetically regulated proteome for understanding complex trait mechanisms. Here, we used the Trans-omics for Precision Medicine (TOPMed) Multi-omics pilot study, which comprises data from Multi-Ethnic Study of Atherosclerosis...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Atherosclerosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Frequency

Share to Genetic Association Studies

Share to Models, Genetic

Share to Pilot Projects

Share to Proteins

Share to Proteome

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 35202437
DOI: 10.1371/journal.pone.0264341
PMCID: PMC8870552

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Protein prediction for trait mapping in diverse populations.PMID 35202437Read ↗

Protein prediction for trait mapping in diverse populationsSemantic proximity Read ↗

Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies.Semantic proximity Read ↗

Genomic atlas of 7,000 plasma proteins and their associations with diseases and traits in East Asian populationsSemantic proximity Read ↗

Cross-ancestry information transfer framework improves protein abundance prediction and protein-trait association identificationSemantic proximity Read ↗

An Integrated Large-Scale Atlas of Protein Quantitative Trait Loci across Olink and SomaScan platformsSemantic proximity Read ↗

Large-scale imputation models for multi-ancestry proteome-wide association analysisSemantic proximity Read ↗

An atlas of genetic scores to predict multi-omic traitsSemantic proximity Read ↗

An atlas of genetic scores to predict multi-omic traits.Semantic proximity Read ↗

Whole genome sequencing analysis of the cardiometabolic proteomeSemantic proximity Read ↗

Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traits.Semantic proximity Read ↗

Whole-genome sequencing analysis of the cardiometabolic proteome.Semantic proximity Read ↗

Mapping biological influences on the human plasma proteome beyond the genomeSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.