Evidence map›Paper›PMID 38167462›Full record

ArticleGenome biology2024

Genetic effects of sequence-conserved enhancer-like elements on human complex traits.

Xiang Zhu, Shining Ma, Wing Hung Wong

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 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
2.8field-weighted citation impact, top 10% 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, 13 citations in OpenAlex.

  1. Article
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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

3 authors at 3 institutions in 1 country.

Xiang Zhu *Department of Statistics, The Pennsylvania State University, 326 Thomas Building, University Park, 16802, PA, USA. xiangzhu@psu.edu.ORCID 0000-0003-1134-6413
Shining Ma *Department of Statistics, Stanford University, 390 Jane Stanford Way, Stanford, 94305, CA, USA.
Wing Hung WongDepartment of Statistics, Stanford University, 390 Jane Stanford Way, Stanford, 94305, CA, USA. whwong@stanford.edu.
Pennsylvania State University · USStanford Medicine · USStanford University · US

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Statistical methods for gene regulatory analysis and single cell genomicsR01HG010359 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2019 to 2022
$1.5M
NCATS NIH HHS UL1 TR002014NHGRI NIH HHS P50 HG007735NHGRI NIH HHS R01 HG010359NIH HHS P50HG007735NIH HHS R01HG010359
6 · The paper itself

Abstract

backgroundThe vast majority of findings from human genome-wide association studies (GWAS) map to non-coding sequences, complicating their mechanistic interpretations and clinical translations. Non-coding sequences that are evolutionarily conserved and biochemically active could offer clues to the mechanisms underpinning GWAS discoveries. However, genetic effects of such sequences have not been systematically examined across a wide range of human tissues and traits, hampering progress to fully understand regulatory causes of human complex traits.

resultsHere we develop a simple yet effective strategy to identify functional elements exhibiting high levels of human-mouse sequence conservation and enhancer-like biochemical activity, which scales well to 313 epigenomic datasets across 106 human tissues and cell types. Combined with 468 GWAS of European (EUR) and East Asian (EAS) ancestries, these elements show tissue-specific enrichments of heritability and causal variants for many traits, which are significantly stronger than enrichments based on enhancers without sequence conservation. These elements also help prioritize candidate genes that are functionally relevant to body mass index (BMI) and schizophrenia but were not reported in previous GWAS with large sample sizes.

conclusionsOur findings provide a comprehensive assessment of how sequence-conserved enhancer-like elements affect complex traits in diverse tissues and demonstrate a generalizable strategy of integrating evolutionary and biochemical data to elucidate human disease genetics.

Indexed as

Genome-Wide Association StudyMultifactorial InheritanceAnimalsEnhancer Elements, GeneticEpigenomicsHumansMicePhenotypePolymorphism, Single NucleotideData integrationEnhancerFine mappingGene prioritizationGenome-wide association studyHeritabilitySequence conservationTissue specificity

Identifiers

PMID38167462
PMCPMC10759394
OpenAlexW4390492887

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.