Evidence map›Paper›PMID 30510122›Full record

ArticleCancer research2019

Mosaic Y Loss Is Moderately Associated with Solid Tumor Risk.

Erikka Loftfield, Weiyin Zhou, Meredith Yeager, Stephen J Chanock, Neal D Freedman, Mitchell J Machiela

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
2.9field-weighted citation impact, top 6% 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

60 citing papers in PubMed, 86 citations in OpenAlex.

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  20. Sex differences in disease: sex chromosome and immunity.Journal of translational medicine · 2024
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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 2 institutions in 1 country.

Erikka LoftfieldDivision of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland.ORCID 0000-0002-3573-8748
Weiyin ZhouDivision of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland.
Meredith YeagerDivision of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland.
Stephen J ChanockDivision of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland.
Neal D FreedmanDivision of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland.
Mitchell J MachielaDivision of Cancer Epidemiology and Genetics, NCI, Bethesda, Maryland. mitchell.machiela@nih.gov.ORCID 0000-0001-6538-9705
Cancer Genetics (United States) · USLeidos (United States) · US

Funding

British Heart FoundationIntramural NIH HHS Z99 CA999999Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Wellcome Trust
6 · The paper itself

Abstract

Mosaic loss of the Y chromosome (mLOY) in peripheral leukocytes is a somatic event in which a fraction of leukocytes have lost the entire Y chromosome. The frequency of mLOY increases with age and may reflect poor genomic maintenance as well as clonal imbalances in normal immune function, making mLOY an attractive candidate marker for cancer risk. Here, we investigated the relationship between mLOY and incident cancer in a large sample of 207,603 cancer-free men from the UK Biobank, in which 13,895 men developed an incident solid tumor during follow-up. We identified mLOY by scanning for deviations in genotyping array log R intensity ratios across the male-specific chromosome Y region. Overall, we detected low proportions of cells with mLOY in 3,358 (1.6%) men and high proportions of mLOY in 524 (0.3%) men. We found an association of mLOY with overall solid tumor incidence using both low and high mLOY thresholds [HR

Indexed as

Chromosomes, Human, YMosaicismAdultAgedChromosome DeletionCohort StudiesDatabases, GeneticHumansLeukocytesMaleMiddle AgedNeoplasmsUnited Kingdom

Identifiers

PMID30510122
PMCPMC6359954
OpenAlexW2902268616

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.