Data from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities Study Article Swipe
Minghui Zhang
,
Meng Ru
,
Jingning Zhang
,
Ziqiao Wang
,
Jiayun Lu
,
Kenneth R. Butler
,
Nilanjan Chatterjee
,
David Couper
,
Anna E. Prizment
,
Mehrnoosh M. Soori
,
Kala Visvanathan
,
Cynthia A. Zahnow
,
Corinne E. Joshu
,
Elizabeth A. Platz
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1158/1940-6207.c.7655049
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1158/1940-6207.c.7655049
High genetic risk and alcohol consumption ≥1 drink/day are associated with increased breast cancer risk. However, the interaction between alcohol and genetics on breast cancer risk is poorly understood, including in populations not enriched with daily drinkers. We prospectively studied 5,651 White and Black postmenopausal women in the Atherosclerosis Risk in Communities study. Alcohol intake was assessed by a food frequency questionnaire. The 313-SNP polygenic risk score (PRS) was calculated. Breast cancer cases were ascertained primarily by cancer registry linkage through 2015. Multivariable Cox regression was used to estimate HRs and 95% confidence intervals (CI) for the association of PRS and current ethanol intake with breast cancer, and their interaction. Of these individuals, 50.6% were current drinkers, and of them, 50.8% drank 7 drinks/week. A higher PRS was associated with a higher breast cancer risk among White (HR1-SD, 1.48; 95% CI, 1.34–1.65) and Black (HR1-SD, 1.15; 95% CI, 0.96–1.38) women. Positive associations were not observed between current ethanol intake and breast cancer risk (White: HR13 g/week, 1.00; 95% CI, 0.98–1.03; Black: HR, 0.83; 95% CI, 0.69–1.00). Among both White and Black women, PRS generally seemed to be positively associated with risk in drinkers and nondrinkers. There was no evidence of a PRS–ethanol intake interaction among White or Black women. Patterns in Black women were similar when using an 89-SNP PRS developed among African ancestry women. In conclusion, in a prospective analysis of White and Black postmenopausal women in a study population not enriched with daily drinkers, our findings suggest that alcohol drinking does not modify the PRS-based genetic risk of breast cancer.Prevention Relevance: Although our findings suggest that alcohol drinking does not modify the PRS-based genetic risk of breast cancer among White and Black women with lower alcohol intake, nevertheless, women should consider limiting alcohol consumption as a general cancer prevention strategy, as indicated in dietary guidelines.
Related Topics
Concepts
Polygenic risk score
Alcohol consumption
Breast cancer
Postmenopausal women
Medicine
Oncology
Risk assessment
Internal medicine
Alcohol
Environmental health
Cancer
Gene
Biology
Genetics
Computer science
Single-nucleotide polymorphism
Computer security
Biochemistry
Genotype
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1158/1940-6207.c.7655049
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407109282
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407109282Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1158/1940-6207.c.7655049Digital Object Identifier
- Title
-
Data from Alcohol Consumption Does not Modify the Polygenic Risk Score–Based Genetic Risk of Breast Cancer in Postmenopausal Women: Atherosclerosis Risk in Communities StudyWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-02-03Full publication date if available
- Authors
-
Minghui Zhang, Meng Ru, Jingning Zhang, Ziqiao Wang, Jiayun Lu, Kenneth R. Butler, Nilanjan Chatterjee, David Couper, Anna E. Prizment, Mehrnoosh M. Soori, Kala Visvanathan, Cynthia A. Zahnow, Corinne E. Joshu, Elizabeth A. PlatzList of authors in order
- Landing page
-
https://doi.org/10.1158/1940-6207.c.7655049Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1158/1940-6207.c.7655049Direct OA link when available
- Concepts
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Polygenic risk score, Alcohol consumption, Breast cancer, Postmenopausal women, Medicine, Oncology, Risk assessment, Internal medicine, Alcohol, Environmental health, Cancer, Gene, Biology, Genetics, Computer science, Single-nucleotide polymorphism, Computer security, Biochemistry, GenotypeTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.and | 3, 20, 42, 90, 100, 107, 117, 124, 147, 164, 184, 198, 238, 287 |
| abstract_inverted_index.are | 8 |
| abstract_inverted_index.for | 95 |
| abstract_inverted_index.not | 32, 158, 246, 258, 276 |
| abstract_inverted_index.our | 251, 269 |
| abstract_inverted_index.the | 16, 47, 96, 260, 278 |
| abstract_inverted_index.was | 55, 68, 85, 132, 201 |
| abstract_inverted_index.(CI) | 94 |
| abstract_inverted_index.Risk | 49 |
| abstract_inverted_index.both | 182 |
| abstract_inverted_index.does | 257, 275 |
| abstract_inverted_index.food | 59 |
| abstract_inverted_index.risk | 2, 25, 65, 139, 167, 195, 263, 281 |
| abstract_inverted_index.that | 254, 272 |
| abstract_inverted_index.used | 86 |
| abstract_inverted_index.were | 73, 114, 157, 218 |
| abstract_inverted_index.when | 220 |
| abstract_inverted_index.with | 10, 34, 104, 134, 194, 248, 290 |
| abstract_inverted_index.≥1 | 6 |
| abstract_inverted_index.>7 | 127 |
| abstract_inverted_index.<1 | 122 |
| abstract_inverted_index.(PRS) | 67 |
| abstract_inverted_index.0.83; | 177 |
| abstract_inverted_index.1.00; | 171 |
| abstract_inverted_index.1.15; | 150 |
| abstract_inverted_index.1.48; | 143 |
| abstract_inverted_index.12.8% | 125 |
| abstract_inverted_index.2015. | 81 |
| abstract_inverted_index.5,651 | 40 |
| abstract_inverted_index.50.6% | 113 |
| abstract_inverted_index.50.8% | 120 |
| abstract_inverted_index.Among | 181 |
| abstract_inverted_index.Black | 43, 148, 185, 212, 216, 239, 288 |
| abstract_inverted_index.There | 200 |
| abstract_inverted_index.White | 41, 141, 183, 210, 237, 286 |
| abstract_inverted_index.among | 140, 209, 226, 285 |
| abstract_inverted_index.cases | 72 |
| abstract_inverted_index.daily | 35, 249 |
| abstract_inverted_index.drank | 121, 126 |
| abstract_inverted_index.lower | 291 |
| abstract_inverted_index.risk. | 14 |
| abstract_inverted_index.score | 66 |
| abstract_inverted_index.study | 244 |
| abstract_inverted_index.their | 108 |
| abstract_inverted_index.them, | 119 |
| abstract_inverted_index.these | 111 |
| abstract_inverted_index.using | 221 |
| abstract_inverted_index.women | 45, 217, 241, 289, 295 |
| abstract_inverted_index.89-SNP | 223 |
| abstract_inverted_index.Black: | 175 |
| abstract_inverted_index.Breast | 70 |
| abstract_inverted_index.breast | 12, 23, 105, 137, 165, 265, 283 |
| abstract_inverted_index.cancer | 13, 24, 71, 77, 138, 166, 284, 304 |
| abstract_inverted_index.higher | 130, 136 |
| abstract_inverted_index.intake | 54, 103, 163, 207 |
| abstract_inverted_index.modify | 259, 277 |
| abstract_inverted_index.poorly | 27 |
| abstract_inverted_index.seemed | 189 |
| abstract_inverted_index.should | 296 |
| abstract_inverted_index.study. | 52 |
| abstract_inverted_index.women, | 186 |
| abstract_inverted_index.women. | 154, 213, 229 |
| abstract_inverted_index.(White: | 168 |
| abstract_inverted_index.313-SNP | 63 |
| abstract_inverted_index.African | 227 |
| abstract_inverted_index.Alcohol | 53 |
| abstract_inverted_index.alcohol | 4, 19, 255, 273, 292, 299 |
| abstract_inverted_index.between | 18, 160 |
| abstract_inverted_index.cancer, | 106 |
| abstract_inverted_index.current | 101, 115, 161 |
| abstract_inverted_index.dietary | 310 |
| abstract_inverted_index.ethanol | 102, 162 |
| abstract_inverted_index.general | 303 |
| abstract_inverted_index.genetic | 1, 262, 280 |
| abstract_inverted_index.intake, | 293 |
| abstract_inverted_index.linkage | 79 |
| abstract_inverted_index.similar | 219 |
| abstract_inverted_index.studied | 39 |
| abstract_inverted_index.suggest | 253, 271 |
| abstract_inverted_index.through | 80 |
| abstract_inverted_index.Although | 268 |
| abstract_inverted_index.However, | 15 |
| abstract_inverted_index.Patterns | 214 |
| abstract_inverted_index.Positive | 155 |
| abstract_inverted_index.analysis | 235 |
| abstract_inverted_index.ancestry | 228 |
| abstract_inverted_index.assessed | 56 |
| abstract_inverted_index.consider | 297 |
| abstract_inverted_index.drinkers | 197 |
| abstract_inverted_index.drinking | 256, 274 |
| abstract_inverted_index.enriched | 33, 247 |
| abstract_inverted_index.estimate | 88 |
| abstract_inverted_index.evidence | 203 |
| abstract_inverted_index.findings | 252, 270 |
| abstract_inverted_index.genetics | 21 |
| abstract_inverted_index.limiting | 298 |
| abstract_inverted_index.observed | 159 |
| abstract_inverted_index.registry | 78 |
| abstract_inverted_index.PRS-based | 261, 279 |
| abstract_inverted_index.developed | 225 |
| abstract_inverted_index.drink/day | 7 |
| abstract_inverted_index.drinkers, | 116, 250 |
| abstract_inverted_index.drinkers. | 36 |
| abstract_inverted_index.frequency | 60 |
| abstract_inverted_index.generally | 188 |
| abstract_inverted_index.including | 29 |
| abstract_inverted_index.increased | 11 |
| abstract_inverted_index.indicated | 308 |
| abstract_inverted_index.intervals | 93 |
| abstract_inverted_index.polygenic | 64 |
| abstract_inverted_index.primarily | 75 |
| abstract_inverted_index.strategy, | 306 |
| abstract_inverted_index.associated | 9, 133, 193 |
| abstract_inverted_index.confidence | 92 |
| abstract_inverted_index.drink/week | 123 |
| abstract_inverted_index.population | 245 |
| abstract_inverted_index.positively | 192 |
| abstract_inverted_index.prevention | 305 |
| abstract_inverted_index.regression | 84 |
| abstract_inverted_index.Communities | 51 |
| abstract_inverted_index.ascertained | 74 |
| abstract_inverted_index.association | 97 |
| abstract_inverted_index.calculated. | 69 |
| abstract_inverted_index.conclusion, | 231 |
| abstract_inverted_index.consumption | 5, 300 |
| abstract_inverted_index.interaction | 17, 208 |
| abstract_inverted_index.populations | 31 |
| abstract_inverted_index.prospective | 234 |
| abstract_inverted_index.understood, | 28 |
| abstract_inverted_index.0.96–1.38) | 153 |
| abstract_inverted_index.0.98–1.03; | 174 |
| abstract_inverted_index.1.34–1.65) | 146 |
| abstract_inverted_index.associations | 156 |
| abstract_inverted_index.drinks/week. | 128 |
| abstract_inverted_index.individuals, | 112 |
| abstract_inverted_index.interaction. | 109 |
| abstract_inverted_index.nondrinkers. | 199 |
| abstract_inverted_index.0.69–1.00). | 180 |
| abstract_inverted_index.Multivariable | 82 |
| abstract_inverted_index.PRS–ethanol | 206 |
| abstract_inverted_index.nevertheless, | 294 |
| abstract_inverted_index.prospectively | 38 |
| abstract_inverted_index.postmenopausal | 44, 240 |
| abstract_inverted_index.questionnaire. | 61 |
| abstract_inverted_index.Atherosclerosis | 48 |
| abstract_inverted_index.HR<sub>13 | 169 |
| abstract_inverted_index.g/week,</sub> | 170 |
| abstract_inverted_index.Relevance:</b> | 267 |
| abstract_inverted_index.(HR<sub>1-SD</sub>, | 142, 149 |
| abstract_inverted_index.<div>Abstract<p>High | 0 |
| abstract_inverted_index.guidelines.</p></div> | 311 |
| abstract_inverted_index.cancer.</p><p><b>Prevention | 266 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 14 |
| citation_normalized_percentile.value | 0.03359231 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |