Evidence map›Paper›PMID 38627416›Full record

ArticleScientific data2024

TOPMed imputed genomics enhances genomic atlas of the human proteome in brain, cerebrospinal fluid, and plasma.

Heng Yi, Qijun Yang, Charlie Repaci, Cheolmin Matthew Lee, Gyujin Heo, Jigyasha Timsina, Priyanka Gorijala, Chengran Yang, John Budde, Lihua Wang and 2 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Heng Yi *Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Qijun Yang *NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
Charlie Repaci *NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
Cheolmin Matthew LeeNeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
Gyujin HeoDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Jigyasha TimsinaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Priyanka GorijalaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Chengran YangDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-4577-5590
John BuddeDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0001-7778-7276
Lihua WangDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Carlos CruchagaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Yun Ju SungDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA. yunju@wustl.edu.ORCID 0000-0002-8021-4070
Washington University in St. Louis · US

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
USING QUANTITATIVE TRAITS TO IDENTIFY NOVEL GENES FOR ALZHEIMERS DISEASE AND OTHER COMPLEX TRAITSRF1AG053303 · NIA · WASHINGTON UNIVERSITY · PI CLIMER, SHARLEE, CRUCHAGA, CARLOS · 2016 to 2020
$4.0M
GENETIC MODIFIERS OF CEREBROSPINAL FLUID TREM2 IN ALZHEIMER'S DISEASERF1AG058501 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, PICCIO, LAURA · 2018 to 2018
$3.5M
The Familial Alzheimer Sequencing (FASe) ProjectU01AG058922 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, GOATE, ALISON M · 2018 to 2022
$3.5M
Sex-specific Molecular Profiling to Understand Pathology and Identify Causal Genes and Drug Targets for Alzheimer's DiseaseRF1AG074007 · NIA · WASHINGTON UNIVERSITY · PI SUNG, YUNJU · 2021 to 2021
$2.7M
IDENTIFYING RARE VARIANTS THAT INCREASE RISK FOR ALZHEIMER'S DISEASER01AG044546 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2013 to 2017
$2.7M
NIA NIH HHS P01 AG003991NIA NIH HHS R01 AG044546NIA NIH HHS RF1 AG053303NIA NIH HHS RF1 AG058501NIA NIH HHS RF1 AG074007NIA NIH HHS U01 AG058922
6 · The paper itself

Abstract

Comprehensive expression quantitative trait loci studies have been instrumental for understanding tissue-specific gene regulation and pinpointing functional genes for disease-associated loci in a tissue-specific manner. Compared to gene expressions, proteins more directly affect various biological processes, often dysregulated in disease, and are important drug targets. We previously performed and identified tissue-specific protein quantitative trait loci in brain, cerebrospinal fluid, and plasma. We now enhance this work by analyzing more proteins (1,300 versus 1,079) and an almost twofold increase in high quality imputed genetic variants (8.4 million versus 4.4 million) by using TOPMed reference panel. We identified 38 genomic regions associated with 43 proteins in brain, 150 regions associated with 247 proteins in cerebrospinal fluid, and 95 regions associated with 145 proteins in plasma. Compared to our previous study, this study newly identified 12 loci in brain, 30 loci in cerebrospinal fluid, and 22 loci in plasma. Our improved genomic atlas uncovers the genetic control of protein regulation across multiple tissues. These resources are accessible through the Online Neurodegenerative Trait Integrative Multi-Omics Explorer for use by the scientific community.

Indexed as

Gene Expression RegulationProteomeQuantitative Trait LociBrainCerebrospinal FluidGenome-Wide Association StudyGenomicsHumansPhenotypePlasmaProteome

Identifiers

PMID38627416
PMCPMC11021418
OpenAlexW4394856050

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.