Evidence map›Paper›PMID 39678351›Full record

ArticleResearch square2024

Non-coding genetic variants underlying higher prostate cancer risk in men of African ancestry.

Sridhar Hannenhalli, Shan Li, Kaniz Fatema, Sundarraj Nidharshan, Arashdeep Singh, Padma Sheila Rajagopal, Dimple Notani, David Takeda

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In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Sridhar HannenhalliNational Institutes of Health.ORCID 0000-0001-9603-7569
Shan LiNational Institutes of Health.ORCID 0000-0001-6760-0711
Kaniz FatemaNational Institutes of Health.ORCID 0009-0002-8552-2846
Sundarraj NidharshanGenetics and Development, National Centre for Biological Sciences, Tata Institute of Fundamental Research.
Arashdeep SinghNational Institutes of Health.ORCID 0000-0001-6087-7240
Padma Sheila RajagopalNational Institutes of Health.
Dimple NotaniNational Centre for Biological Sciences.ORCID 0000-0002-9460-8070
David TakedaNational Cancer Institute.ORCID 0000-0002-5986-1169

Funding

Identification of epigenetic drivers of castration-resistant prostate cancerZIABC011973 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI TAKEDA, DAVID · 2020 to 2025
$4.6M
Identifying non-coding drivers of cancerZIABC011979 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HANNENHALLI, SRIDHAR · 2020 to 2023
$914k
Intramural NIH HHS ZIA BC011973Intramural NIH HHS ZIA BC011979
6 · The paper itself

Abstract

Incidence and severity of prostate cancer (PrCa) substantially varies across ancestries. American men of African ancestry (AA) are more likely to be diagnosed with and die from PrCa than the those of European ancestry (EA). Published polygenic risk scores for developing prostate cancer, even those based on multi-ancestry genome-wide association studies, do not address population-specific genetic mechanisms underlying PrCa risk in men of African ancestry. Specifically, the role of non-coding regulatory polymorphisms in driving inter-ancestry variation in PrCa has not been suficiently explored. Here, by employing a sequence-based deep learning model of prostate regulatory enhancers, we identified ~ 2,000 SNPs with higher alternate allele frequency in AA men that potentially affect enhancer function associated with PrCa susceptibility, as supported by our experimental validation. The identified enhancer SNPs (eSNPs) may influence PrCa development through two complementary mechanisms: 1) the alternate allele that increase enhancer activity result in immune suppression and telomere elongation, and 2) the alternate alleles that decrease enhancer activity, lead to de-differentiation and inhibition of apoptosis. Notably, the eSNPs tend to disrupt the binding of known prostate transcription factors including FOX, AR and HOX families. Lastly, the identified eSNPs can be combined into a polygenic risk score that adds value to current GWAS-based risk variants in assessing PrCa risk in independent cohorts.

Identifiers

PMID39678351
PMCPMC11643368

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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.