Literature DB >> 17504528

BRIP1 (BACH1) variants and familial breast cancer risk: a case-control study.

Bernd Frank1, Kari Hemminki, Alfons Meindl, Barbara Wappenschmidt, Christian Sutter, Marion Kiechle, Peter Bugert, Rita K Schmutzler, Claus R Bartram, Barbara Burwinkel.   

Abstract

BACKGROUND: Inactivating and truncating mutations of the nuclear BRCA1-interacting protein 1 (BRIP1) have been shown to be the major cause of Fanconi anaemia and, due to subsequent alterations of BRCA1 function, predispose to breast cancer (BC).
METHODS: We investigated the effect of BRIP1 -64G>A and Pro919Ser on familial BC risk by means of TaqMan allelic discrimination, analysing BRCA1/BRCA2 mutation-negative index patients of 571 German BC families and 712 control individuals.
RESULTS: No significant differences in genotype frequencies between BC cases and controls for BRIP1 -64G>A and Pro919Ser were observed.
CONCLUSION: We found no effect of the putatively functional BRIP1 variants -64G>A and Pro919Ser on the risk of familial BC.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17504528      PMCID: PMC1887536          DOI: 10.1186/1471-2407-7-83

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Germline mutations in the high-penetrance genes BRCA1 and BRCA2 account for up to 25% of the hereditary forms of breast cancer (BC) [1,2]. The nuclear BRCA1-interacting protein 1 (BRIP1; also referred to as BRCA1-associated C-terminal helicase, BACH1) directly binds the BRCT-motif containing domain of BRCA1, thus likely contributing to its DNA repair and tumour suppressor functions [3,4]. BRIP1 deficiency has been described as the causation for cancer-predisposing Fanconi anaemia [5,6], and a recent study has identified constitutional truncating BRIP1 mutations to confer susceptibility to BC [7]. Several genotyping studies have addressed the association between BRIP1 variants and BC risk, but the results have remained controversial [8-11]. The non-conservative BRIP1 Pro919Ser substitition has been previously reported to be associated with an increased BC risk up to age 50 [12]. We evaluated the effects of BRIP -64G>A, which may affect gene regulation, and Pro919Ser, on a large German familial BC study cohort.

Methods

Study population

The familial breast cancer cohort comprised 571 unrelated German, female index cases (19 to 87 years of age; median 45) without deleterious BRCA1 and BRCA2 mutations. They were collected during the years 1996–2005 through the Institute of Human Genetics (Heidelberg, Germany), the Department of Gynaecology and Obstetrics (Cologne, Germany) and the Department of Medical Genetics (Munich, Germany). According to the German Consortium for Hereditary Breast and Ovarian Cancer, breast cancer cases are classified into six categories based on family history: (A1) families with two or more breast cancer cases including at least two cases with onset below the age of 50 years; (A2) families with at least one male breast cancer case; (B) families with at least one breast cancer and one ovarian cancer case; (C) families with at least two breast cancer cases including one case diagnosed before the age of 50 years; (D) families with at least two breast cancer cases diagnosed after the age of 50 years; (E) single cases of breast cancer with age of diagnosis before 35 years [2]. All women gave written consent to the molecular analysis of the BRCA1 and BRCA2 genes and potential new breast cancer susceptibility genes. Prior to DNA extraction, their blood (EDTA) was frozen at -20°C. The DNA was isolated by a conventional phenol-chloroform protocol. Mutations in the open reading frame of BRCA1 and BRCA2 were excluded by applying denaturing high performance liquid chromatography (DHPLC) on all exons, followed by direct sequencing of conspicuous exons. The control series consisted of 712 healthy, unrelated female blood donors (26 to 68 years of age, median 49). They were recruited in 2004 and 2005 by the Institute of Transfusion Medicine and Immunology (Mannheim, Germany) and share the ethnic background with the breast cancer patients. According to the German guidelines for blood donation, all blood donors were examined by a standard questionnaire. Buffy coat samples were taken from the anti-coagulated blood donations and were used for DNA isolation (FlexiGene® DNA Kit; Qiagen, Hilden Germany). All blood donors consented to the use of their samples for research studies. The study was approved by the Ethics Committee of the University of Heidelberg (Heidelberg, Germany).

Genotyping

BRIP1 genotyping was done by the TaqMan allelic discrimination method as previously described [13]. TaqMan primers and probes were provided by the assay-by-design service (Applied Biosystems, Foster City, CA) and designed on the basis of the GenBank NT_010783 sequence. Sequences of primers and probes are available upon request.

Statistical analysis

Genotype-specific odds ratios (ORs), 95% confidence intervals (95% CIs) and P values were computed by unconditional logistic regression using the Statistical Analysis System software (Version 9.1.; SAS Institute Inc., Cary, NC). Haplotypes were inferred using the SNPHAP programme created by D. Clayton [14]. Power calculation was carried out with the power and sample size calculation software PS version 2.1.31 [15].

Transcription factor search

The search for putative transcription factors was performed using TESS (Transcription Element Search Software, [16]) and TFSEARCH (Searching Transcription Factor Binding Sites, [17]).

Results and discussion

Mutations in the DNA helicase BRIP1 have been implicated in the aetiology of Fanconi anaemia, a genetic disorder that is characterised by congenital abnormalities, progressive bone marrow failure, genomic instability and predisposition to cancer [5-7]. Our study assessed the relevance of the BRIP1 variants -64G>A and Pro919Ser to familial BC. According to transcription factor binding site searches, the replacement of G by A at position -64 leads to the formation of a GATA or CCAAT motif, suggesting an modification of gene expression. BRIP Pro919Ser is located in the BRCA1-interacting domain and may alter protein structure and function. Genotype frequencies for the analysed polymorphisms were in agreement with Hardy-Weinberg expectations in controls. No significant differences in genotype frequencies between BC cases and controls for either BRIP1 -64G>A or Pro919Ser were observed (see Table 1). Adjustment for age made no significant difference to the results, hence only unadjusted ORs are presented. Our findings are in accord with previously published data [8,11]. Though a recent kin-cohort study has shown a strong association with 4.5- to 6.9-fold familial BC risk for Pro919Ser in premenopausal women [12], our data do not support the observed effect when stratified according to age at diagnosis (see Table 1). Haplotype analysis with BRIP1 -64G>A and Pro919Ser did not indicate any association with familial BC risk (data not shown).
Table 1

Genotype distributions of the BRIP1 variants -64G>A (rs2048718§) and Pro919Ser (rs4986764§) among unrelated German BRCA1/2 mutation-negative familial breast cancer patients and healthy, unrelated female control subjects

BRIP -64G>ACASESCONTROLS
n%n%OR*95% CI P
All Σ571712

GG18131.722832.01
GA28349.634047.81.050.82–1.350.71
AA10718.714420.20.940.68–1.290.68
GA+AA39068.348468.01.020.80–1.290.90

< 50 years Σ406367

GG13232.511330.81
GA19046.818049.00.900.65–1.250.54
AA8420.77420.20.970.65–1.450.89
GA+AA27467.525469.20.920.68–1.250.61

50 years Σ165345

GG4929.711533.31
GA9356.416046.41.360.90–2.080.15
AA2313.97020.30.770.43–1.370.38
GA+AA11670.323066.71.180.79–1.770.41

BRIP Pro919Ser

All Σ571712

Pro/Pro18131.722631.71
Pro/Ser29551.736551.31.010.79–1.290.94
Ser/Ser9516.612117.00.980.70–1.370.91
Pro/Ser+Ser/Ser39068.348668.31.000.79–1.270.97

< 50 years Σ406367

Pro/Pro12129.811832.21
Pro/Ser21953.918249.61.170.85–1.620.33
Ser/Ser6616.36718.30.960.63–1.470.85
Pro/Ser+Ser/Ser28570.224967.81.120.82–1.510.48

50 years Σ165345

Pro/Pro6036.410831.31
Pro/Ser7646.118353.00.750.49–1.130.17
Ser/Ser2917.65415.70.970.56–1.680.90
Pro/Ser+Ser/Ser10563.623768.70.800.54–1.180.26

*As compared to GG and Pro/Pro homozygotes, respectively; § dbSNP rs#; Hardy-Weinberg equilibrium test was undertaken using Pearson's goodness-of-fit chi-square test with one degree of freedom. Adjustment for age did not change the ORs, assuming that the distribution of the BRIP1 genotypes is age-independent.

The strengths of the present study are represented by a sound sample size and a homogeneous study cohort of a single ethnic group, comprising women selected for familial BC. Only BRCA1 and BRCA2 mutation-negative familial BC cases were considered in order to avoid effects caused by these high-penetrance susceptibility genes. With the present sample size, we had a power of 80% at a significance level of 0.05 to detect an OR of ≥ 1.44 for both -64G>A and Pro919Ser. Moreover, the power of an association study based on cases with a family history of the disease is at least twice higher compared to a study using unselected cases [18]. As data of well-known risk factors (age of menarche, history of pregnancy etc.) were not available, we ignored to test for gene-environment interaction.

Conclusion

Both the BRIP1 -64G>A and Pro919Ser variants show no effect on familial BC risk in the German population.

Abbreviations

BC – breast cancer BACH1BRCA1-associated C-terminal helicase BRIP1BRCA1-interacting protein 1 DHPLC – denaturing high performance liquid chromatography 95% C.I. – 95% confidence interval OR – odds ratio SNP – single nucleotide polymorphism

Competing interests

The author(s) declare that they have no competing interests.

Authors' contributions

BF conducted the experiments, performed data acquisition and interpretation, and drafted the manuscript. KH participated in the study coordination and revised the manuscript. AM, BW, CS, MK, PB, RKS and CRB collected DNA samples and were responsible for the BRCA1/BRCA2 mutation screening. BB designed and coordinated the study and reviewed the manuscript. All authors read and approved the final version of the submitted manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:
  14 in total

1.  Polygenic inheritance of breast cancer: Implications for design of association studies.

Authors:  Antonis C Antoniou; Douglas F Easton
Journal:  Genet Epidemiol       Date:  2003-11       Impact factor: 2.135

2.  The BRCA1-interacting helicase BRIP1 is deficient in Fanconi anemia.

Authors:  Orna Levran; Claire Attwooll; Rashida T Henry; Kelly L Milton; Kornelia Neveling; Paula Rio; Sat Dev Batish; Reinhard Kalb; Eunike Velleuer; Sandra Barral; Jurg Ott; John Petrini; Detlev Schindler; Helmut Hanenberg; Arleen D Auerbach
Journal:  Nat Genet       Date:  2005-08-21       Impact factor: 38.330

3.  Comprehensive analysis of 989 patients with breast or ovarian cancer provides BRCA1 and BRCA2 mutation profiles and frequencies for the German population.

Authors:  A Meindl
Journal:  Int J Cancer       Date:  2002-02-01       Impact factor: 7.396

4.  The rare ERBB2 variant Ile654Val is associated with an increased familial breast cancer risk.

Authors:  Bernd Frank; Kari Hemminki; Michael Wirtenberger; Justo Lorenzo Bermejo; Peter Bugert; Rüdiger Klaes; Rita K Schmutzler; Barbara Wappenschmidt; Claus R Bartram; Barbara Burwinkel
Journal:  Carcinogenesis       Date:  2004-11-18       Impact factor: 4.944

Review 5.  Cancer susceptibility and the functions of BRCA1 and BRCA2.

Authors:  Ashok R Venkitaraman
Journal:  Cell       Date:  2002-01-25       Impact factor: 41.582

6.  Kin-cohort estimates for familial breast cancer risk in relation to variants in DNA base excision repair, BRCA1 interacting and growth factor genes.

Authors:  Alice J Sigurdson; Michael Hauptmann; Nilanjan Chatterjee; Bruce H Alexander; Michele Morin Doody; Joni L Rutter; Jeffery P Struewing
Journal:  BMC Cancer       Date:  2004-03-12       Impact factor: 4.430

7.  Mutational analysis of the BRCA1-interacting genes ZNF350/ZBRK1 and BRIP1/BACH1 among BRCA1 and BRCA2-negative probands from breast-ovarian cancer families and among early-onset breast cancer cases and reference individuals.

Authors:  Joni L Rutter; Amelia M Smith; Michael R Dávila; Alice J Sigurdson; Ruthann M Giusti; Marbin A Pineda; Michele M Doody; Margaret A Tucker; Mark H Greene; Jinghui Zhang; Jeffery P Struewing
Journal:  Hum Mutat       Date:  2003-08       Impact factor: 4.878

8.  No evidence of involvement of germline BACH1 mutations in Finnish breast and ovarian cancer families.

Authors:  S-M Karppinen; J Vuosku; K Heikkinen; M Allinen; R Winqvist
Journal:  Eur J Cancer       Date:  2003-02       Impact factor: 9.162

9.  The BRCA1-associated protein BACH1 is a DNA helicase targeted by clinically relevant inactivating mutations.

Authors:  Sharon Cantor; Ronny Drapkin; Fan Zhang; Yafang Lin; Juliana Han; Sushmita Pamidi; David M Livingston
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-24       Impact factor: 11.205

10.  Mutation analysis of FANCD2, BRIP1/BACH1, LMO4 and SFN in familial breast cancer.

Authors:  Aaron G Lewis; James Flanagan; Anna Marsh; Gulietta M Pupo; Graham Mann; Amanda B Spurdle; Geoffrey J Lindeman; Jane E Visvader; Melissa A Brown; Georgia Chenevix-Trench
Journal:  Breast Cancer Res       Date:  2005-10-21       Impact factor: 6.466

View more
  15 in total

1.  The evolution of cancer risk assessment in the era of next generation sequencing.

Authors:  Heather Fecteau; Kristen J Vogel; Kristen Hanson; Shannon Morrill-Cornelius
Journal:  J Genet Couns       Date:  2014-04-24       Impact factor: 2.537

Review 2.  G-quadruplex nucleic acids and human disease.

Authors:  Yuliang Wu; Robert M Brosh
Journal:  FEBS J       Date:  2010-07-29       Impact factor: 5.542

Review 3.  Hereditary breast cancer and the BRCA1-associated FANCJ/BACH1/BRIP1.

Authors:  Sharon B Cantor; Shawna Guillemette
Journal:  Future Oncol       Date:  2011-02       Impact factor: 3.404

4.  Fanconi anemia group J mutation abolishes its DNA repair function by uncoupling DNA translocation from helicase activity or disruption of protein-DNA complexes.

Authors:  Yuliang Wu; Joshua A Sommers; Avvaru N Suhasini; Thomas Leonard; Julianna S Deakyne; Alexander V Mazin; Kazuo Shin-Ya; Hiroyuki Kitao; Robert M Brosh
Journal:  Blood       Date:  2010-07-16       Impact factor: 22.113

5.  Insight into the roles of helicase motif Ia by characterizing Fanconi anemia group J protein (FANCJ) patient mutations.

Authors:  Manhong Guo; Venkatasubramanian Vidhyasagar; Hao Ding; Yuliang Wu
Journal:  J Biol Chem       Date:  2014-02-25       Impact factor: 5.157

6.  No evidence that protein truncating variants in BRIP1 are associated with breast cancer risk: implications for gene panel testing.

Authors:  Douglas F Easton; Fabienne Lesueur; Brennan Decker; Kyriaki Michailidou; Jun Li; Jamie Allen; Craig Luccarini; Karen A Pooley; Mitul Shah; Manjeet K Bolla; Qin Wang; Joe Dennis; Jamil Ahmad; Ella R Thompson; Francesca Damiola; Maroulio Pertesi; Catherine Voegele; Noura Mebirouk; Nivonirina Robinot; Geoffroy Durand; Nathalie Forey; Robert N Luben; Shahana Ahmed; Kristiina Aittomäki; Hoda Anton-Culver; Volker Arndt; Caroline Baynes; Matthias W Beckman; Javier Benitez; David Van Den Berg; William J Blot; Natalia V Bogdanova; Stig E Bojesen; Hermann Brenner; Jenny Chang-Claude; Kee Seng Chia; Ji-Yeob Choi; Don M Conroy; Angela Cox; Simon S Cross; Kamila Czene; Hatef Darabi; Peter Devilee; Mikael Eriksson; Peter A Fasching; Jonine Figueroa; Henrik Flyger; Florentia Fostira; Montserrat García-Closas; Graham G Giles; Gord Glendon; Anna González-Neira; Pascal Guénel; Christopher A Haiman; Per Hall; Steven N Hart; Mikael Hartman; Maartje J Hooning; Chia-Ni Hsiung; Hidemi Ito; Anna Jakubowska; Paul A James; Esther M John; Nichola Johnson; Michael Jones; Maria Kabisch; Daehee Kang; Veli-Matti Kosma; Vessela Kristensen; Diether Lambrechts; Na Li; Annika Lindblom; Jirong Long; Artitaya Lophatananon; Jan Lubinski; Arto Mannermaa; Siranoush Manoukian; Sara Margolin; Keitaro Matsuo; Alfons Meindl; Gillian Mitchell; Kenneth Muir; Ines Nevelsteen; Ans van den Ouweland; Paolo Peterlongo; Sze Yee Phuah; Katri Pylkäs; Simone M Rowley; Suleeporn Sangrajrang; Rita K Schmutzler; Chen-Yang Shen; Xiao-Ou Shu; Melissa C Southey; Harald Surowy; Anthony Swerdlow; Soo H Teo; Rob A E M Tollenaar; Ian Tomlinson; Diana Torres; Thérèse Truong; Celine Vachon; Senno Verhoef; Michelle Wong-Brown; Wei Zheng; Ying Zheng; Heli Nevanlinna; Rodney J Scott; Irene L Andrulis; Anna H Wu; John L Hopper; Fergus J Couch; Robert Winqvist; Barbara Burwinkel; Elinor J Sawyer; Marjanka K Schmidt; Anja Rudolph; Thilo Dörk; Hiltrud Brauch; Ute Hamann; Susan L Neuhausen; Roger L Milne; Olivia Fletcher; Paul D P Pharoah; Ian G Campbell; Alison M Dunning; Florence Le Calvez-Kelm; David E Goldgar; Sean V Tavtigian; Georgia Chenevix-Trench
Journal:  J Med Genet       Date:  2016-02-26       Impact factor: 6.318

7.  Absence of truncating BRIP1 mutations in chromosome 17q-linked hereditary prostate cancer families.

Authors:  A M Ray; K A Zuhlke; G R Johnson; A M Levin; J A Douglas; E M Lange; K A Cooney
Journal:  Br J Cancer       Date:  2009-11-24       Impact factor: 7.640

8.  Genetic copy number variation and general cognitive ability.

Authors:  Andrew K MacLeod; Gail Davies; Antony Payton; Albert Tenesa; Sarah E Harris; David Liewald; Xiayi Ke; Michelle Luciano; Lorna M Lopez; Alan J Gow; Janie Corley; Paul Redmond; Geraldine McNeill; Andrew Pickles; William Ollier; Michael Horan; John M Starr; Neil Pendleton; Pippa A Thomson; David J Porteous; Ian J Deary
Journal:  PLoS One       Date:  2012-12-26       Impact factor: 3.240

9.  Correlation of the BACH1 Pro919Ser polymorphism with breast cancer risk: A literature-based meta-analysis and meta-regression analysis.

Authors:  Jing Shi; Jianhua Tong; Shuang Cai; Xiujuan Qu; Yunpeng Liu
Journal:  Exp Ther Med       Date:  2013-06-07       Impact factor: 2.447

10.  The utility of copy number variation (CNV) in studies of hypertension-related left ventricular hypertrophy (LVH): rationale, potential and challenges.

Authors:  Hoh Boonpeng; Khalid Yusoff
Journal:  Mol Cytogenet       Date:  2013-03-01       Impact factor: 2.009

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.