Evidence map›Paper›PMID 34981446›Full record

ArticleJournal of applied genetics2022

Genome-wide analysis of genetic predisposition to common polygenic cancers.

Alireza Nazarian, Konstantin G Arbeev, Arseniy P Yashkin, Alexander M Kulminski

Open access · greenAbstract read
In one paragraph

Article in Journal of applied genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
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

4 authors at 1 institution in 1 country.

Alireza NazarianBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St., Durham, NC, 27705, USA. alireza.nazarian@duke.edu.ORCID http://orcid.org/0000-0001-5810-6834
Konstantin G ArbeevBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St., Durham, NC, 27705, USA.
Arseniy P YashkinBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St., Durham, NC, 27705, USA.
Alexander M KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St., Durham, NC, 27705, USA. kulminsk@duke.edu.
Social Science Research Council · US

Funding

Relationships among Genetic Regulators of Aging Health and LifespanP01AG043352 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$8.7M
ApoE2 and protective molecular signatures in Alzheimer's disease and agingR01AG061853 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2018 to 2022
$3.9M
Personalized genetic profiles of risk and resilience in Alzheimer's and vascular diseasesR01AG065477 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2020 to 2024
$3.8M
Dissecting genetic and non-genetic heterogeneity in predisposition to Alzheimer's disease and vascular traits in pleiotropic contextR01AG070488 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M, OUKRAINTSEVA, SVETLANA V. · 2020 to 2024
$2.8M
Molecular signatures of health and life span disparities between whites and African-Americans in the APOE regionR01AG047310 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2015 to 2019
$2.5M
NIA NIH HHS P01 AG043352NIA NIH HHS R01 AG047310NIA NIH HHS R01 AG061853NIA NIH HHS R01 AG065477NIA NIH HHS R01 AG070488
6 · The paper itself

Abstract

Lung, breast, prostate, and colorectal cancers are among the most common and fatal malignancies worldwide. They are mainly caused by multifactorial mechanisms and are genetically heterogeneous. We investigated the genetic architecture of these cancers through genome-wide association, pathway-based, and summary-based transcriptome-/methylome-wide association analyses using three independent cohorts. Our genome-wide association analyses identified the associations of 33 single-nucleotide polymorphisms (SNPs) at P < 5E - 06, of which 32 SNPs were not previously reported and did not have proxy variants within their ± 1 Mb flanking regions. Moreover, other polymorphisms mapped to their closest genes were not previously associated with the same cancers at P < 5E - 06. Our pathway enrichment analyses revealed associations of 32 pathways; mainly related to the immune system, DNA replication/transcription, and chromosomal organization; with the studied cancers. Also, 60 probes were associated with these cancers in our transcriptome-wide and methylome-wide analyses. The ± 1 Mb flanking regions of most probes had not attained P < 5E - 06 in genome-wide association studies. The genes corresponding to the significant probes can be considered as potential targets for further functional studies. Two genes (i.e., CDC14A and PMEL) demonstrated stronger evidence of associations with lung cancer as they had significant probes in both transcriptome-wide and methylome-wide association analyses. The novel cancer-associated SNPs and genes identified here would advance our understanding of the genetic heterogeneity of the common cancers.

Indexed as

Genetic Predisposition to DiseaseNeoplasmsGenome-Wide Association StudyHumansMultifactorial InheritancePolymorphism, Single NucleotideProtein Tyrosine PhosphatasesCDC14A protein, humanProtein Tyrosine PhosphatasesGenetic heterogeneityGenetic polymorphismsGWASMWASPathway analysisTWAS

Identifiers

PMID34981446
PMCPMC8983541
OpenAlexW4205526016

What Socratic 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 Socratic graph.