Evidence map›Paper›PMID 32606005›Full record

ArticleCancer research2020

LDtrait: An Online Tool for Identifying Published Phenotype Associations in Linkage Disequilibrium.

Shu-Hong Lin, Derek W Brown, Mitchell J Machiela

Abstract read
In one paragraph

Article in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 15 pooled it
–field-weighted citation impact
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

154 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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  6. rs762855 single nucleotide polymorphism modulates the risk for diffuse-type gastric cancer in females: a genome-wide association study in the Korean population.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
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94 more citing papers are in PubMed but not listed here.

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.

Shu-Hong LinIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.ORCID 0000-0002-4020-7714
Derek W BrownIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.ORCID 0000-0001-8393-1713
Mitchell J MachielaIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland. mitchell.machiela@nih.gov.ORCID 0000-0001-6538-9705

Funding

Genetic EpidemiologyZIACP005803 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GOLDSTEIN, ALISA · 2009 to 2025
$24.8M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified thousands of germline susceptibility loci associated with risk for cancer as well as a wide range of other traits and diseases. An interest of many investigators is identifying traits or diseases that share common susceptibility loci. We developed LDtrait (https://ldlink.nci.nih.gov/?tab=ldtrait) as an open access web tool for finding germline variation associated with multiple traits. LDtrait searches the NHGRI-EBI GWAS Catalog to identify susceptibility loci in linkage disequilibrium (LD) with a user-provided list of query variants. Options allow for modifying LD thresholds, calculating LD from a diverse set of reference populations, and downloading annotated variant lists. Results from example query searches highlight the utility of LDtrait in uncovering cross-trait associations for cancer risk and other traits. LDtrait accelerates etiologic understanding of cancer genetics by rapidly identifying genetic similarities with other traits or diseases. SIGNIFICANCE: The new GWAS search tool LDtrait will expedite discovery of shared genetic components underlying seemingly unrelated diseases and may offer novel insights into cancer research.

Indexed as

Genetic VariationGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumNeoplasmsPhenotype

Identifiers

PMID32606005
PMCPMC7442674

What OpenQuestion holds

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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.