Evidence map›Paper›PMID 33135051›Full record

ArticleBioinformatics (Oxford, England)2021

TreeMap: a structured approach to fine mapping of eQTL variants.

Li Liu, Pramod Chandrashekar, Biao Zeng, Maxwell D Sanderford, Sudhir Kumar, Greg Gibson

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Li LiuCollege of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.ORCID 0000-0003-4002-7497
Pramod ChandrashekarCollege of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.ORCID 0000-0002-0175-0423
Biao ZengCenter for Integrative Genomics, School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Maxwell D SanderfordInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA.
Sudhir KumarInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA.
Greg GibsonCenter for Integrative Genomics, School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-5352-5877
Arizona State University · USGeorgia Institute of Technology · USKing Abdulaziz University · SATemple University · US

Funding

eQTL mega-analysis for functional assessment of multi-enhancer gene regulationR01HG008146 · NHGRI · GEORGIA INSTITUTE OF TECHNOLOGY · PI GIBSON, GREGORY C · 2016 to 2018
$2.3M
NHGRI NIH HHS R01 HG008146
6 · The paper itself

Abstract

motivationExpression quantitative trait loci (eQTL) harbor genetic variants modulating gene transcription. Fine mapping of regulatory variants at these loci is a daunting task due to the juxtaposition of causal and linked variants at a locus as well as the likelihood of interactions among multiple variants. This problem is exacerbated in genes with multiple cis-acting eQTL, where superimposed effects of adjacent loci further distort the association signals.

resultsWe developed a novel algorithm, TreeMap, that identifies putative causal variants in cis-eQTL accounting for multisite effects and genetic linkage at a locus. Guided by the hierarchical structure of linkage disequilibrium, TreeMap performs an organized search for individual and multiple causal variants. Via extensive simulations, we show that TreeMap detects co-regulating variants more accurately than current methods. Furthermore, its high computational efficiency enables genome-wide analysis of long-range eQTL. We applied TreeMap to GTEx data of brain hippocampus samples and transverse colon samples to search for eQTL in gene bodies and in 4 Mbps gene-flanking regions, discovering numerous distal eQTL. Furthermore, we found concordant distal eQTL that were present in both brain and colon samples, implying long-range regulation of gene expression. AVAILABILITY AND IMPLEMENTATION: TreeMap is available as an R package enabled for parallel processing at https://github.com/liliulab/treemap. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociChromosome MappingColonGene ExpressionHippocampusHumansLinkage DisequilibriumPolymorphism, Single Nucleotide

Identifiers

PMID33135051
PMCPMC8150140
OpenAlexW3096179303

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.