Evidence map›Paper›PMID 30457165›Full record

ArticleMolecular carcinogenesis2019

Genetic polymorphisms of diabetes-related genes, their interaction with diabetes status, and breast cancer incidence and mortality: The Long Island Breast Cancer Study Project.

Humberto Parada, Rebecca J Cleveland, Kari E North, June Stevens, Susan L Teitelbaum, Alfred I Neugut, Regina M Santella, Maria E Martinez, Marilie D Gammon

Abstract read
In one paragraph

Article in Molecular carcinogenesis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

9 authors.

Humberto ParadaDivision of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, California.ORCID 0000-0001-6562-8577
Rebecca J ClevelandDepartment of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Kari E NorthDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
June StevensDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Susan L TeitelbaumDepartment of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Alfred I NeugutDepartment of Medicine, Vagelos College of Physicians and Surgeons, Mailman School of Public Health, Columbia University, New York, New York.
Regina M SantellaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Maria E MartinezMoores Cancer Center, University of California, San Diego, La Jolla, California.
Marilie D GammonDepartment of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Steven N. Chillrud · 1998 to 2026
$44.7M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
BREAST CANCER AND THE ENVIRONMENT ON LONG ISLANDU01CA066572 · NCI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI GAMMON, MARILIE D · 1995 to 2004
$1.7M
NCI NIH HHS L30 CA220767NCI NIH HHS U01 CA066572NCI NIH HHS UO1 CA66572NCI NIH HHS UO1 CA/ES66572NIEHS NIH HHS P30 ES009089NIEHS NIH HHS T32 ES007018Susan G. Komen Foundation (Career Catalyst Award)
6 · The paper itself

Abstract

To examine 143 diabetes risk single nucleotide polymorphisms (SNPs), identified from genome-wide association studies, in association with breast cancer (BC) incidence and subsequent mortality. A population-based sample of Caucasian women with first primary invasive BC (n = 817) and controls (n = 1021) were interviewed to assess diabetes status. Using the National Death Index, women with BC were followed for >18 years during which 340 deaths occurred (139 BC deaths). Genotyping was done using DNA extracted from blood samples. We used unconditional logistic regression to estimate age-adjusted odds ratios and 95% confidence intervals (CIs) for BC incidence, and Cox regression to estimate age-adjusted hazard ratios and CIs for all-cause and BC-specific mortality. Twelve SNPs were associated with BC risk in additive genotype models, at α = 0.05. The top three significant SNPs included SLC30A8-rs4876369 (P = 0.0034), HHEX-rs11187146 (P = 0.0086), and CDKN2A/CDKN2B-rs1333049 (P = 0.0094). Diabetes status modified the associations between rs4876369 and rs2241745 and BC incidence, on the multiplicative interaction scale. Six SNPs were associated with all-cause (CDKAL1-rs981042, P = 0.0032; HHEX-rs1111875, P = 0.0361; and INSR-rs919275, P = 0.0488) or BC-specific (CDKN2A/CDKN2B-rs3218020, P = 0.0225; CDKAL1-rs981042, P = 0.0246; and TCF2/HNF1B-rs3094508, P = 0.0344) mortality in additive genotype models, at α = 0.05. Genetic polymorphisms that increase the risk of developing diabetes may also increase the risk of developing and dying from BC.

Indexed as

Polymorphism, Single NucleotideAdultAgedAged, 80 and overBiomarkersBreast NeoplasmsCase-Control StudiesDiabetes MellitusFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansIncidenceMiddle AgedBiomarkersbreast cancerdiabetesgeneticsincidencemortalitysingle nucleotide polymorphismssurvival

Identifiers

PMID30457165
PMCPMC6377588

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.