Body Shape Phenotypes and Breast Cancer Risk: A Mendelian Randomization Analysis
Observational and genetic studies have linked different anthropometric traits to breast cancer (BC) risk, with inconsistent results. We aimed to investigate the association between body shape defined by a principal component (PC) analysis of anthropometric traits (body mass index [BMI], height, weig...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/15/4/1296 |
_version_ | 1797621895791640576 |
---|---|
author | Laia Peruchet-Noray Niki Dimou Anja M. Sedlmeier Béatrice Fervers Isabelle Romieu Vivian Viallon Pietro Ferrari Marc J. Gunter Robert Carreras-Torres Heinz Freisling |
author_facet | Laia Peruchet-Noray Niki Dimou Anja M. Sedlmeier Béatrice Fervers Isabelle Romieu Vivian Viallon Pietro Ferrari Marc J. Gunter Robert Carreras-Torres Heinz Freisling |
author_sort | Laia Peruchet-Noray |
collection | DOAJ |
description | Observational and genetic studies have linked different anthropometric traits to breast cancer (BC) risk, with inconsistent results. We aimed to investigate the association between body shape defined by a principal component (PC) analysis of anthropometric traits (body mass index [BMI], height, weight, waist-to-hip ratio [WHR], and waist and hip circumference) and overall BC risk and by tumor sub-type (luminal A, luminal B, HER2+, triple negative, and luminal B/HER2 negative). We performed two-sample Mendelian randomization analyses to assess the association between 188 genetic variants robustly linked to the first three PCs and BC (133,384 cases/113,789 controls from the Breast Cancer Association Consortium (BCAC)). PC1 (general adiposity) was inversely associated with overall BC risk (0.89 per 1 SD [95% CI: 0.81–0.98]; <i>p</i>-value = 0.016). PC2 (tall women with low WHR) was weakly positively associated with overall BC risk (1.05 [95% CI: 0.98–1.12]; <i>p</i>-value = 0.135), but with a confidence interval including the null. PC3 (tall women with large WHR) was not associated with overall BC risk. Some of these associations differed by BC sub-types. For instance, PC2 was positively associated with a risk of luminal A BC sub-type (1.09 [95% CI: 1.01–1.18]; <i>p</i>-value = 0.02). To clarify the inverse association of PC1 with breast cancer risk, future studies should examine independent risk associations of this body shape during childhood/adolescence and adulthood. |
first_indexed | 2024-03-11T09:02:27Z |
format | Article |
id | doaj.art-e55cc6fbcee04cfdaeff97246073b254 |
institution | Directory Open Access Journal |
issn | 2072-6694 |
language | English |
last_indexed | 2024-03-11T09:02:27Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Cancers |
spelling | doaj.art-e55cc6fbcee04cfdaeff97246073b2542023-11-16T19:39:01ZengMDPI AGCancers2072-66942023-02-01154129610.3390/cancers15041296Body Shape Phenotypes and Breast Cancer Risk: A Mendelian Randomization AnalysisLaia Peruchet-Noray0Niki Dimou1Anja M. Sedlmeier2Béatrice Fervers3Isabelle Romieu4Vivian Viallon5Pietro Ferrari6Marc J. Gunter7Robert Carreras-Torres8Heinz Freisling9International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, CEDEX 08, 69372 Lyon, FranceInternational Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, CEDEX 08, 69372 Lyon, FranceDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, GermanyDépartement Prévention Cancer Environnement, Centre Léon Bérard, CEDEX 08, 69373 Lyon, FranceNational Institute of Public Health, Cuernavaca 62100, Morelos, MexicoInternational Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, CEDEX 08, 69372 Lyon, FranceInternational Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, CEDEX 08, 69372 Lyon, FranceInternational Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, CEDEX 08, 69372 Lyon, FranceDigestive Diseases and Microbiota Group, Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI), 17190 Salt, SpainInternational Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, CEDEX 08, 69372 Lyon, FranceObservational and genetic studies have linked different anthropometric traits to breast cancer (BC) risk, with inconsistent results. We aimed to investigate the association between body shape defined by a principal component (PC) analysis of anthropometric traits (body mass index [BMI], height, weight, waist-to-hip ratio [WHR], and waist and hip circumference) and overall BC risk and by tumor sub-type (luminal A, luminal B, HER2+, triple negative, and luminal B/HER2 negative). We performed two-sample Mendelian randomization analyses to assess the association between 188 genetic variants robustly linked to the first three PCs and BC (133,384 cases/113,789 controls from the Breast Cancer Association Consortium (BCAC)). PC1 (general adiposity) was inversely associated with overall BC risk (0.89 per 1 SD [95% CI: 0.81–0.98]; <i>p</i>-value = 0.016). PC2 (tall women with low WHR) was weakly positively associated with overall BC risk (1.05 [95% CI: 0.98–1.12]; <i>p</i>-value = 0.135), but with a confidence interval including the null. PC3 (tall women with large WHR) was not associated with overall BC risk. Some of these associations differed by BC sub-types. For instance, PC2 was positively associated with a risk of luminal A BC sub-type (1.09 [95% CI: 1.01–1.18]; <i>p</i>-value = 0.02). To clarify the inverse association of PC1 with breast cancer risk, future studies should examine independent risk associations of this body shape during childhood/adolescence and adulthood.https://www.mdpi.com/2072-6694/15/4/1296body shapebreast cancerheightMendelian randomizationobesity |
spellingShingle | Laia Peruchet-Noray Niki Dimou Anja M. Sedlmeier Béatrice Fervers Isabelle Romieu Vivian Viallon Pietro Ferrari Marc J. Gunter Robert Carreras-Torres Heinz Freisling Body Shape Phenotypes and Breast Cancer Risk: A Mendelian Randomization Analysis Cancers body shape breast cancer height Mendelian randomization obesity |
title | Body Shape Phenotypes and Breast Cancer Risk: A Mendelian Randomization Analysis |
title_full | Body Shape Phenotypes and Breast Cancer Risk: A Mendelian Randomization Analysis |
title_fullStr | Body Shape Phenotypes and Breast Cancer Risk: A Mendelian Randomization Analysis |
title_full_unstemmed | Body Shape Phenotypes and Breast Cancer Risk: A Mendelian Randomization Analysis |
title_short | Body Shape Phenotypes and Breast Cancer Risk: A Mendelian Randomization Analysis |
title_sort | body shape phenotypes and breast cancer risk a mendelian randomization analysis |
topic | body shape breast cancer height Mendelian randomization obesity |
url | https://www.mdpi.com/2072-6694/15/4/1296 |
work_keys_str_mv | AT laiaperuchetnoray bodyshapephenotypesandbreastcancerriskamendelianrandomizationanalysis AT nikidimou bodyshapephenotypesandbreastcancerriskamendelianrandomizationanalysis AT anjamsedlmeier bodyshapephenotypesandbreastcancerriskamendelianrandomizationanalysis AT beatricefervers bodyshapephenotypesandbreastcancerriskamendelianrandomizationanalysis AT isabelleromieu bodyshapephenotypesandbreastcancerriskamendelianrandomizationanalysis AT vivianviallon bodyshapephenotypesandbreastcancerriskamendelianrandomizationanalysis AT pietroferrari bodyshapephenotypesandbreastcancerriskamendelianrandomizationanalysis AT marcjgunter bodyshapephenotypesandbreastcancerriskamendelianrandomizationanalysis AT robertcarrerastorres bodyshapephenotypesandbreastcancerriskamendelianrandomizationanalysis AT heinzfreisling bodyshapephenotypesandbreastcancerriskamendelianrandomizationanalysis |