Title: Genetic Variation in Seven Obesity Genes and Risk of Postmenopausal Breast Cancer
1Genetic Variation in Seven Obesity Genes and Risk
of Postmenopausal Breast Cancer
- Heather Spencer Feigelson
- Kaiser Permanente
- Denver, Colorado
http//www.gcarlson.com
2Obesity and Breast Cancer
- Obesity is a leading risk factor for
postmenopausal breast cancer - This increased risk results primarily from
conversion of androstenedione to estrone in
adipose tissue - Adipose tissue is an active endocrine organ, and
thus may also play a role in tumor development
independent of estrogen production
3Hypothesis
- Variation in genes that encode adiposity-related
- proteins my influence risk of breast cancer
- Candidate genes were chosen that had been
associated with obesity - and
- 1) had previously been associated with breast
cancer or another cancer - 2) or had demonstrated activity in breast cancer
cell lines
4Candidate Genes
5Methods
- Study Design
- Nested case-control study
- Study Population
- American Cancer Society CPS-II Cohort
- 648 postmenopausal breast cancer cases
(diagnosed 1992-2001) - 659 cancer-free controls
- matched on age, ethnicity, date of blood
collection - 99 white
- Mean age at blood draw 69
6SNP Selection
- Database of genetic variants (www.HapMap.org)
- Selected tagging SNPs that capture common
variation - Minor allele frequency 5
7SNP Selection
A total of 72 SNPs in 7 genes were identified
Use linkage disequilibrium (LD) to reduce SNP
number (pair-wise correlation of r2gt0.80)
Choose 45 tagging SNPs
Assays designed for SNPstream genotyping system
(Emory University)
39 SNPs genotyped
1 SNP dropped for HWE
8Statistical Analysis
- Unconditional logistic regression
- Controlled for matching factors
- Also examined possible confounders and tested for
effect modification - BMI, weight gain, PMH use, family history,
history of breast cysts - Haplotype analysis for statistically significant
SNPs in LD
9Log additive model p-values for the association
between breast cancer and 38 SNPs
10Pattern of LD for tagging SNPs genotyped in
HSD11B1
11HSD11B1 SNP and Haplotype Associations with
Postmenopausal Breast Cancer
12Pattern of LD for tagging SNPs genotyped in IRS2
13IRS2 SNP and Haplotype Associations with
Postmenopausal Breast Cancer
14Additional Results
- No other SNPs were associated with breast cancer
- No evidence of effect modification for any SNP
- BMI, PMH, family history, history of breast cyst
15Conclusions
- Common variation in HSD11B1 and IRS2 may be
associated with breast cancer among
postmenopausal white women - Previous studies of IRS2 have been inconsistent
- Some have shown associations with obesity and
others with breast cancer - One SNP in a recent GWAS showed modest
association with breast cancer (0.051), but this
SNP was not associated with breast cancer in our
data
16Conclusions
- HSD11B1 has not been previously studied as a
candidate gene for breast cancer, however,
genome-wide studies of breast cancer have not
seen an association - HSD11B1 has been previously associated with type
2 diabetes, hypertension, PCOS - HSD11B1 possible candidate gene for weight
change (GWAS)
17Conclusions
- Strengths of this study
- Population-based design
- Use of tagging SNPs to comprehensively capture
variation - Limitations of this study
- Small sample size
- Included only postmenopausal women
- 99 white
- Confirmation of these findings in a larger study
is needed
18Acknowledgements
- American Cancer Society (Atlanta, GA)
- Lauren Teras, Ryan Diver, Alpa Patel, Jeanne
Calle, Vicky Stevens, and Michael Thun - Emory University Center for Medical Genomics
- Mark Bouzyk and Weining Tang
-
- Citation Breast-Cancer-Research.com/content/10/4/
R57
19(No Transcript)
20Biosynthesis of Estrogens in Postmenopausal Women
21Modifiable Risk Factors for Postmenopausal
Breast Cancer
RR2.0
RR1.6
RR1.4
RR1.2
RR1.2
RR1.1
No association
Relative Risk
22The American Cancer Society Cancer Prevention
Study-II
Repeat questionnaires Nutrition Cohort
1997 1999 2001 03 05
1992 Baseline Questionnaire
1982 Baseline Questionnaire
2002
1998
Nutrition Cohort
Mortality Cohort
Blood
1.2 million
184,000
40,000
57 Women 97 White Age 30-108 (median52)
Buccal Cell
70,000