학술논문

An original phylogenetic approach identified mitochondrial haplogroup T1a1 as inversely associated with breast cancer risk in BRCA2 mutation carriers
Document Type
article
Author
Blein, SophieBardel, ClaireDanjean, VincentMcGuffog, LesleyHealey, SueBarrowdale, DanielLee, AndrewDennis, JoeKuchenbaecker, Karoline BSoucy, PennyTerry, Mary BethChung, Wendy KGoldgar, David EBuys, Saundra SBreast Cancer Family RegistryJanavicius, RamunasTihomirova, LaimaTung, NadineDorfling, Cecilia Mvan Rensburg, Elizabeth JNeuhausen, Susan LDing, Yuan ChunGerdes, Anne-MarieEjlertsen, BentNielsen, Finn CHansen, Thomas VOOsorio, AnaBenitez, JavierConejero, Raquel AndrésSegota, EnaWeitzel, Jeffrey NThelander, MargoPeterlongo, PaoloRadice, PaoloPensotti, ValeriaDolcetti, RiccardoBonanni, BernardoPeissel, BernardZaffaroni, DanielaScuvera, GiuliettaManoukian, SiranoushVaresco, LilianaCapone, Gabriele LPapi, LauraOttini, LauraYannoukakos, DrakoulisKonstantopoulou, IreneGarber, JudyHamann, UteDonaldson, AlanBrady, AngelaBrewer, CaroleFoo, ClaireEvans, D GarethFrost, DebraEccles, DianaEMBRACEDouglas, FionaCook, JackieAdlard, JulianBarwell, JulianWalker, LisaIzatt, LouiseSide, Lucy EKennedy, M JohnTischkowitz, MarcRogers, Mark TPorteous, Mary EMorrison, Patrick JPlatte, RadkaEeles, RosDavidson, RosemarieHodgson, ShirleyCole, TrevorGodwin, Andrew KIsaacs, ClaudineClaes, KathleenDe Leeneer, KimMeindl, AlfonsGehrig, AndreaWappenschmidt, BarbaraSutter, ChristianEngel, ChristophNiederacher, DieterSteinemann, DorisPlendl, HansjoergKast, KarinRhiem, KerstinDitsch, NinaArnold, NorbertVaron-Mateeva, RaymondaSchmutzler, Rita KPreisler-Adams, SabineMarkov, Nadja BogdanovaWang-Gohrke, Shande Pauw, AntoineLefol, CédrickLasset, ChristineLeroux, DominiqueRouleau, Etienne
Source
Breast Cancer Research. 17(1)
Subject
Biomedical and Clinical Sciences
Oncology and Carcinogenesis
Genetics
Breast Cancer
Cancer
2.1 Biological and endogenous factors
Aetiology
BRCA1 Protein
Breast Neoplasms
Female
Genes
BRCA2
Genes
Mitochondrial
Genetic Predisposition to Disease
Haplotypes
Heterozygote
Humans
Mutation
Phylogeny
Risk
Breast Cancer Family Registry
EMBRACE
GEMO Study Collaborators
HEBON
Oncology & Carcinogenesis
Oncology and carcinogenesis
Language
Abstract
IntroductionIndividuals carrying pathogenic mutations in the BRCA1 and BRCA2 genes have a high lifetime risk of breast cancer. BRCA1 and BRCA2 are involved in DNA double-strand break repair, DNA alterations that can be caused by exposure to reactive oxygen species, a main source of which are mitochondria. Mitochondrial genome variations affect electron transport chain efficiency and reactive oxygen species production. Individuals with different mitochondrial haplogroups differ in their metabolism and sensitivity to oxidative stress. Variability in mitochondrial genetic background can alter reactive oxygen species production, leading to cancer risk. In the present study, we tested the hypothesis that mitochondrial haplogroups modify breast cancer risk in BRCA1/2 mutation carriers.MethodsWe genotyped 22,214 (11,421 affected, 10,793 unaffected) mutation carriers belonging to the Consortium of Investigators of Modifiers of BRCA1/2 for 129 mitochondrial polymorphisms using the iCOGS array. Haplogroup inference and association detection were performed using a phylogenetic approach. ALTree was applied to explore the reference mitochondrial evolutionary tree and detect subclades enriched in affected or unaffected individuals.ResultsWe discovered that subclade T1a1 was depleted in affected BRCA2 mutation carriers compared with the rest of clade T (hazard ratio (HR) = 0.55; 95% confidence interval (CI), 0.34 to 0.88; P = 0.01). Compared with the most frequent haplogroup in the general population (that is, H and T clades), the T1a1 haplogroup has a HR of 0.62 (95% CI, 0.40 to 0.95; P = 0.03). We also identified three potential susceptibility loci, including G13708A/rs28359178, which has demonstrated an inverse association with familial breast cancer risk.ConclusionsThis study illustrates how original approaches such as the phylogeny-based method we used can empower classical molecular epidemiological studies aimed at identifying association or risk modification effects.