Evidence map›Paper›PMID 31849013›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2020

High-Order Association Mapping for Expression Quantitative Trait Loci.

Huaizhen Qin, Weiwei Ouyang, Jinying Zhao

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 74% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Huaizhen QinDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA. hqin@ufl.edu.
Weiwei OuyangParkland Center for Clinical Innovation, Dallas, TX, USA.
Jinying ZhaoDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA.
Florida College · USParkland Center For Clinical Innovation · US

Funding

Genome-wide Profiling of Brain DNA Hydroxymethylome in Alzheimer’s DiseaseRF1AG052476 · NIA · UNIVERSITY OF FLORIDA · PI BENNETT, DAVID ALAN, JIN, PENG · 2016 to 2019
$4.1M
Epigenetic Determinants of Major Depression: a Monozygotic Discordant TwinStudyR01MH097018 · NIMH · UNIVERSITY OF FLORIDA · PI ZHAO, JINYING · 2013 to 2017
$3.3M
Novel Metabolic Predictors of Diabetes in American IndiansR01DK107532 · NIDDK · UNIVERSITY OF FLORIDA · PI FIEHN, OLIVER, ZHAO, JINYING · 2016 to 2019
$3.0M
Telomere attrition and diabetes risk in American IndiansR01DK091369 · NIDDK · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI HE, JIANG · 2011 to 2014
$1.1M
NIA NIH HHS RF1 AG052476NIDDK NIH HHS R01 DK091369NIDDK NIH HHS R01 DK107532NIMH NIH HHS R01 MH097018
6 · The paper itself

Abstract

Mapping expression quantitative trait loci (eQTLs) is an important avenue to identify putative genetic variants in regulatory regions. Famed eQTL mapping methods exploit the mean effects of locus-wise genetic variants on expression quantitative traits. Despite their successes, such methods are suboptimal because they neglect high-order heterogeneity inherent in genetic variants and covariates. High-order effects of observed loci are common due to their connections to various latent factors, i.e., latent interactions among genes and environmental factors. In this chapter, we introduce a new scheme to harmoniously integrate mean and high-order effects of genetic variants on expression quantitative trait. We rigorously evaluate its validity and utility of signal augmentation.

Indexed as

Chromosome MappingGene ExpressionGenome-Wide Association StudyQuantitative Trait LociAlgorithmsGene-Environment InteractionGene Expression ProfilingGenetic HeterogeneityModels, GeneticPolymorphism, GeneticHigh-order heterogeneityLatent gene-by-environment interactionsLatent genetic and nongenetic factors

Identifiers

PMID31849013
PMCPMC8936396
OpenAlexW2995063586

What OpenQuestion holds

Textmetadata
LicenceTDM
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.