Evidence map›Paper›PMID 41318233›Full record

SynthesisEBioMedicine2025

A genome-wide association study of buccal mucosa cancer in India and multi-ancestry meta-analysis discovers risk loci and gene-environment interactions.

Sharayu Mhatre, Diptavo Dutta, Anand Iyer, Shruti Vishwas Golapkar, Aseem Mishra, Manigreeva Krishnatreya, Grace Sarah George, Pravin Narayanrao Doibale, Yuzheng Dun, Ziqiao Wang and 8 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in EBioMedicine, 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Impact ofOncology research · 2026
    Article
  4. Methods for modeling gene-environment interplay using polygenic risk scores.Statistical applications in genetics and molecular biology · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Sharayu MhatreDivision of Molecular Epidemiology and Population Genomics, Centre for Cancer Epidemiology, Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, India; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India. Electronic address: smhatre@actrec.gov.in.
Diptavo DuttaIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Anand IyerDivision of Molecular Epidemiology and Population Genomics, Centre for Cancer Epidemiology, Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, India; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India.
Shruti Vishwas GolapkarDivision of Molecular Epidemiology and Population Genomics, Centre for Cancer Epidemiology, Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, India.
Aseem MishraHomi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India; Department of Head and Neck Surgical Oncology, Mahamana Pandit Madan Mohan Malviya Cancer Centre, Varanasi, Uttar Pradesh, India.
Manigreeva KrishnatreyaDepartment of Cancer Registry and Epidemiology, Bhubaneswar Borooah Cancer Institute, Tata Memorial Centre, Guwahati, Assam, India.
Grace Sarah GeorgeDivision of Molecular Epidemiology and Population Genomics, Centre for Cancer Epidemiology, Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, India; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India.
Pravin Narayanrao DoibaleDivision of Molecular Epidemiology and Population Genomics, Centre for Cancer Epidemiology, Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, India; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India.
Yuzheng DunDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Ziqiao WangDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Om JahagirdarIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Pankaj ChaturvediHomi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India; Department of Head and Neck Oncology, Tata Memorial Center, Mumbai, Maharashtra, India.
Preetha RajaramanRadiation Effects Research Foundation, Hiroshima, Japan.
Cheng-Ping WangNational Taiwan University Hospital, Taipei, Taiwan.
Anil ChaturvediClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Siddhartha KarEarly Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK.
Rajesh DikshitDivision of Molecular Epidemiology and Population Genomics, Centre for Cancer Epidemiology, Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, India; Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India.
Nilanjan ChatterjeeDepartment of Biostatistics and Oncology, Johns Hopkins University, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome-wide association studies (GWASs) of oral cancers (OC) to date have focused predominantly on European Ancestry (EA) populations. India faces an excess burden of OC, but the most common is the buccal mucosa cancer (BMC), which is relatively rare in EA populations.

methodsWe conducted a GWAS comprising 2160 BMC cases and 2325 controls from different geographical locations in India. We additionally conducted a GWAS of 397 BMC cases and 439 controls from Taiwan and performed multi-ancestry GWAS meta-analysis of OC on 5255 cases and 8748 controls across EA, Indian and Taiwanese populations.

findingsSingle SNP analysis of the Indian GWAS discovered a risk locus at 6q27 conferring susceptibility specifically to BMC and identified multiple independent association signals within known OC loci 5p15.33 and 6p21.32 (HLA region). Further, gene-level analysis of multi-ancestry GWAS identified the tumour suppressor gene NOTCH1 as an OC locus. Using data from the Indian BMC GWAS, we further identified statistically significant evidence of multiplicative interactions (P-value = 0.031 likelihood-ratio test (LRT)) between polygenic risk of BMC and tobacco chewing habit, indicating stronger relative-risk associated with genetic predisposition for non-users compared to chewers.

interpretationOur study provides insights into the aetiologies of BMC in India, highlighting both its similarities and differences with other types of oral cavity cancers, as well as the interactions between polygenic risk and tobacco chewing.

fundingDepartment of Health Research, New Delhi-Grant No. ICMR/EU/13/2012/NCD-III. Intramural Research Program, US National Cancer Institute, National Institutes of Health.

Indexed as

Gene-Environment InteractionGenetic Predisposition to DiseaseGenome-Wide Association StudyMouth MucosaMouth NeoplasmsCase-Control StudiesFemaleHumansIndiaMalePolymorphism, Single NucleotideRisk FactorsGWASOral cancerPathway analysisPGS

Identifiers

PMID41318233
PMCPMC12926300

What Socratic holds

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Registered trials

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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 Socratic graph.