Join the 200th Anniversary Celebration

Original Article

Effect of Family History, Body-Fat Distribution, and Reproductive Factors on the Risk of Postmenopausal Breast Cancer

Thomas A. Sellers, Ph.D., Lawrence H. Kushi, Sc.D., John D. Potter, M.D., Ph.D., Susan A. Kaye, Ph.D., Christine L. Nelson, B.S., Paul G. McGovern, Ph.D., and Aaron R. Folsom, M.D.

N Engl J Med 1992; 326:1323-1329May 14, 1992

Abstract
Abstract

Background.

A family history of breast cancer reflects shared cultural factors, genetic predisposition, or both. There is evidence that the estimated risk associated with a family history of breast cancer increases multiplicatively in combination with other risk factors. We examined the combined effect of family history and anthropometric and reproductive factors on the risk of breast cancer in postmenopausal women.

Methods.

Using data from a prospective cohort study, we studied 37,105 women 55 to 69 years of age to determine whether known risk factors for breast cancer are modified by a reported family history at the time of entry into the study.

Results.

During the first four years of follow-up, 493 new breast cancers were diagnosed. The association of the waist-to-hip ratio (the circumference of the waist divided by that of the hips) with the risk of breast cancer was limited predominantly to women with a family history of breast cancer; the age-adjusted relative risk of breast cancer for the women above the fourth quintile for waist-to-hip ratio as compared with those below the first quintile was 3.2 in women with a family history of breast cancer and 1.2 for women without such a family history. An interaction was observed between a family history of breast cancer and the number of live-born children; the protective effect of higher parity was observed primarily among women with a family history of breast cancer. Similarly, the age-adjusted relative risk of breast cancer associated with a late age at first pregnancy (i.e., ≥30 years) was 5.8 for women with a family history of breast cancer and 2.0 for women without such a family history.

Conclusions.

The increase in the risk of breast cancer associated with a high waist-to-hip ratio, low parity, or greater age at first pregnancy is more pronounced among women with a family history of breast cancer. These findings suggest etiologic differences between familial breast cancer and the sporadic form. (N Engl J Med 1992;326: 1323–9.)

Media in This Article

Figure 1Adjusted Relative Risk of Breast Cancer In Postmenopausal Women According to Family History of Breast Cancer and Waist-to-Hip Ratio.
Figure 2Adjusted Relative Risk of Breast Cancer in Postmenopausal Women According to Family History of Breast Cancer and Number of Live-Born Children.
Article

ONE of the strongest predictors of a woman's risk of breast cancer is the presence of the disease in her immediate family, especially if the relative had bilateral breast cancer1 2 3 or had the disease early in life.3 4 5 6 7 8 9 The association of family history with an increased risk of the disease cannot be explained by other characteristics, such as age at menopause, age at menarche, parity, or the number of years of menstruation.4 , 6 7 8 Rather, the evidence suggests that family history modifies the effects of other known risk factors; the decreased risk associated with a late age at menarche may be limited to women without a family history of breast cancer,4 , 6 , 10 whereas the effects of a greater age at first pregnancy, greater age at menopause, or menstruation for more than 35 years may be more deleterious among women with a family history of breast cancer.6 , 10 11 12

Interest in genetic factors in breast cancer was heightened by recent reports of linkage of susceptibility genes in selected high-risk families. The Li—Fraumeni syndrome, of which breast cancer is an integral feature, has been attributed to inherited mutations in the p53 gene.13 , 14 This association has not been demonstrated, however, in families with aggregation of breast cancer alone.15 The linkage to anonymous markers on chromosome 17q reported by Hall et al.16 was limited predominantly to families with premenopausal breast cancer. This finding has recently been confirmed in three large families with early-onset breast and ovarian cancer.17 No convincing evidence of the existence of a breast cancer—susceptibility gene for postmenopausal breast cancer has accumulated,18 19 20 21 22 although there are suggestive data linking the estrogen-receptor gene locus to increased risk in one family.23 Breast cancer is likely to be genetically heterogeneous; the classification of families according to epidemiologic risk factors may define genetically homogeneous subgroups and enhance efforts to identify breast cancer—susceptibility genes.

Epidemiologic, experimental, and clinical studies have implicated estrogens in the pathogenesis of breast cancer.24 , 25 Consequently, a number of studies have been conducted to determine whether the levels of endogenous or exogenous estrogens and their metabolism might explain the high risk of breast cancer in some families.26 27 28 29 30 31 32 If reproductive and anthropometric variables increase the risk of breast cancer through an effect on hormone levels or hormone metabolism, examining the interactions of these variables with family history may contribute to our understanding of the pathogenesis of breast cancer and permit us to identify women at greater risk for the disease.33 , 34 In the present study, we used data from a large prospective cohort study of postmenopausal women to investigate this hypothesis.

Methods

The Iowa Women's Health Study Cohort

In 1986 a mailed questionnaire was completed by 41,837 women between 55 and 69 years of age who had valid Iowa driver's licenses in 1985.35 Information on new cases of breast cancer and current residence was collected from these women by means of two follow-up questionnaires. The status of women who did not respond to the follow-up surveys was determined through the National Change of Address Service of the U.S. Postal Service (to identify women who had moved out of state) and the National Death Index of the National Center for Health Statistics (to identify out-of-state deaths). Using both these data sources permitted us to determine the vital status of all but 197 women (0.5 percent), each of whom was identified as not currently living in Iowa. The cohort of women considered to be at risk for incident breast cancer excluded those who reported on the original questionnaire that they were premenopausal (n = 569) or that they had had a previous mastectomy (n = 1764), partial removal of a breast (n = 106), or cancer other than skin cancer (n = 2293). After these women were excluded, 37,105 remained in the cohort and were included in our analyses.

Data Collection

Among other items reported on the 1986 base-line questionnaire were sociodemographic variables (including race, occupation, education level, and residence), gynecologic history, and medical conditions or diseases. The prevalence of cancer was determined by asking whether the woman had ever been told by a doctor that she had any form of cancer except nonmelanoma skin cancer. Participants reported their current height and weight, maximal adult weight, weight one year before the survey, and weight at 18, 30, 40, and 50 years of age. A paper tape measure and written instructions were enclosed so that a friend could measure the circumference of the waist (one inch above the umbilicus) and hips (maximal protrusion). The measurements obtained by this method have been shown to be valid (intraclass correlation with measurements made by a trained technician, ≥0.84) and reliable (intraclass correlation of measures made at two diflerent times, ≥0.85).36 Anthropometric measures were used to derive the body-mass index, defined as the weight in kilograms divided by the square of the height in meters; the body-mass index at age 18 (based on the current height); and the ratio of the waist circumference to that of the hips (waist-to-hip ratio).

Data on the history of breast cancer among mothers, grandmothers, aunts, sisters, and daughters of the respondents were also collected in the base-line questionnaire. No questions were asked about family size, age at onset of breast cancer, or cancer in male relatives, nor was an attempt made to validate reports of cancer in family members.

Identification of Cases of Breast Cancer

Follow-up for the occurrence of cancer in the cohort was performed with use of data from the State Health Registry of Iowa, which is part of the National Cancer Institute's Surveillance, Epidemiology, and End-Results Program. New cases of breast cancer (defined according to code 174 of the International Classification of Diseases) were identified through a computer program that matched cases listed in the registry from 1986 through 1989 and study participants by name, ZIP Code, birth date, and social security number.

Statistical Analysis

For the anthropometric variables, the women were assigned to one of five groups according to quintiles for the reported values of the entire cohort (excluding those who were premenopausal or not at risk for breast cancer) at study entry. Data on reproductive and menstrual history, such as age at menarche and age at first pregnancy, were stratified into four or five categories. Since the reliability of data on second-degree relatives is low,37 in our analyses of the effect of a family history of breast cancer we used only data on the status of mothers, sisters, and daughters (first-degree female relatives). The presence of breast cancer in one or more first-degree relatives was considered a positive family history.

Length of follow-up for each woman was designated as the length of time from the completion of the base-line questionnaire to one of the following events, listed in descending order of priority: the date of diagnosis of breast cancer, the date of death (if death occurred in Iowa), the date the woman moved out of Iowa (if known), the midpoint of the interval between the last follow-up contact and December 31, 1989 (if the date of the woman's departure from Iowa was unknown), or the midpoint of the interval between the date of the last contact and the date of death (for deaths in women who had moved from Iowa). Women for whom these criteria did not apply were assumed to be still living in Iowa, and they contributed follow-up data until December 31, 1989.

Person-years in each exposure category were accumulated for the entire cohort at risk, and separately for those with a family history of breast cancer and those with no such family history. Incidence was calculated by dividing the corresponding number of new cases of breast cancer by the number of person-years of follow-up. Age-adjusted rates were calculated with the MantelHaenszel procedure38 for three five-year categories of age at base line: 55 through 59, 60 through 64, and 65 through 69 years. Relative risks were calculated by dividing the incidence in a particular exposure category by the incidence in the comparison category (which was always the group with no family history of breast cancer). Analyses to control other known risk factors for breast cancer were conducted with proportional-hazards models, with use of the SAS program PHREG.39 The assumption of proportional hazards for the exposures of interest was tested and found not to be violated. Interactions were evaluated by entering cross-product terms between family history (as an indicator variable) and other risk factors for breast cancer (as continuous variables). All tests of interactions involving family history were conducted by proportional-hazards methods. For all relative risks, 95 percent confidence intervals were estimated. Differences in risk-factor levels between women with a family history of breast cancer and women without such a family history were assessed by means of contingency-table analyses or two-sided t-tests.

Results

The age distribution of the cohort at risk is shown (according to family history) in Table 1Table 1Age Distribution of the Study Subjects According to Family History of Breast Cancer.*. The 31,551 women (87.8 percent) who reported a family history of breast cancer at base line were, on average, six months older than the 4368 women (12.2 percent) with no family history of breast cancer (P<0.001). Of the 493 women with new cases of breast cancer identified through December 31, 1989, 83 (16.8 percent) had a positive family history and 386 (78.3 percent) had a negative family history; an additional 24 women (4.9 percent) could not be classified because of missing data. The age-adjusted relative risk of breast cancer associated with a family history of breast cancer was 1.53 (95 percent confidence interval, 1.21 to 1.94).

The age-adjusted relative risks of breast cancer according to selected anthropometric measures and family history are presented in Table 2Table 2Age-Adjusted Relative Risk of Postmenopausal Breast Cancer in Relation to Anthropometric Factors, According to Family History of Breast Cancer.*. There was a slight trend toward increased risk with increased height among the women as a group (P = 0.029), but only among women with a family history of breast cancer did any of the individual point estimates of relative risk achieve statistical significance. The risk of breast cancer also increased significantly with increasing base-line measures of body weight and body-mass index in the entire sample (P for trend <0.001 in both cases). When the sample was stratified according to family history, the greatest relative risks were observed for the women with a family history of breast cancer who had body-weight and body-mass-index values above the fourth quintile. A high body-mass index at 18 years of age was inversely associated with postmenopausal breast cancer among all the women (P for trend = 0.0019), primarily because of the decreased risk among the women with no family history of breast cancer in the upper quintile group. A striking interaction was observed between the waist-to-hip ratio and family history. For the total cohort, the relative risk of breast cancer for the highest as compared with the lowest quintile group for waist-to-hip ratio was 1.50 (95 percent confidence interval, 1.13 to 2.00; P for trend = 0.0049). In the group with no family history of breast cancer the risk was increased a nonsignificant 20 percent, but among the women with a family history of breast cancer the risk was increased significantly for those with waist-to-hip ratios above the fourth quintile. When women were classified according to both body-mass index and waist-to-hip ratio (median splits), the relative risk of breast cancer associated with a high body-mass index and a high waist-to-hip ratio was 1.35 among women with no family history of breast cancer (95 percent confidence interval, 1.06 to 1.72) but 2.42 among women with such a family history (95 percent confidence interval, 1.66 to 3.51).

The age-adjusted relative risks associated with selected reproductive and menstrual-history factors are presented according to family history in Table 3Table 3Age-Adjusted Relative Risk of Postmenopausal Breast Cancer in Relation to Reproductive and Menstrual-History Factors, According to Family History of Breast Cancer.*. The known inverse association between an older age at menarche and the incidence of breast cancer was evident in this study; menarche after the age of 15 years was associated, overall, with a relative risk of breast cancer of 0.54 (95 percent confidence interval, 0.38 to 0.78) as compared with menarche before the age of 12. However, the effect was confined largely to women without a family history of breast cancer. The risk of breast cancer according to age at menopause was analyzed both for women who reported a natural menopause and for those in whom menopause was the result of surgery or medical therapy. There was no indication of significantly reduced risk among women with early natural or medical menopause, regardless of family history. Although the risks associated with a later age at first pregnancy were evident in the entire cohort (P for trend = 0.0026), the association was much stronger among women with a family history of breast cancer; first pregnancy at or after 30 years of age was associated with a doubling of risk for women without a family history of breast cancer but with a 5.75-fold increase in risk for women with a family history of the disease. Having borne children (parity, >0) was not associated with a lower risk among women without a family history of breast cancer. Compared with nulliparous women with no family history of breast cancer, nulliparous women with a positive family history had a 2.24-fold increase in risk, but the relative risk decreased with the increasing number of live births to a low of 0.57 for women with five or more live-born children.

To determine whether the apparent interactions between the waist-to-hip ratio, age at first pregnancy, number of live births, and family history could be accounted for by other risk factors for breast cancer, we performed multivariate analyses with Cox proportional-hazards models. The model included age, the square of the age, body-mass index, body-mass index at 18 years of age, waist-to-hip ratio, number of live births, age at first pregnancy, age at menarche, oral-contraceptive use, and education level (high-school graduation or higher vs. less than high-school graduation). Three cross-product terms were created to represent the interactions of family history (treated as a dichotomous variable) with waist-to-hip ratio, age at first pregnancy, and number of live births (all three treated as continuous variables). When all three family-history interactions were included in the model, only the interaction with the waist-to-hip ratio (P = 0.027) and the number of live births (P<0.005) remained statistically significant; the interaction with age at first pregnancy did not remain significant (P = 0.22).

Two additional proportional-hazards models were then fitted to determine the nature of the two significant interactions. In the first model, nine indicator variables were created to represent the 10 cross-classifications of the quintile groups for family history and waist-to-hip ratio; in this analysis the lowest quintile group of women without a family history of breast cancer served as the reference category. Included as covariates were all the previously specified variables with the exception of age at first pregnancy, which was represented by indicator variables for the following categories: <20, 20 through 24, 25 through 29, and ≥30 years and no pregnancies (nulliparous). Although the only significant elevation in risk associated with a high waist-to-hip ratio was observed for the upper quintile group of women with a family history of breast cancer (relative risk = 2.4; 95 percent confidence interval, 1.5 to 3.8) (Fig. 1Figure 1Adjusted Relative Risk of Breast Cancer In Postmenopausal Women According to Family History of Breast Cancer and Waist-to-Hip Ratio.), the test for a linear dose–response relation across the five levels showed only borderline significance (P = 0.052). No such trend was observed among the women without a family history of breast cancer (P = 0.89).

The second proportional-hazards model was designed to test the interaction between family history and the number of live births; it included age, the square of the age, body-mass index, body-mass index at 18 years of age, waist-to-hip ratio, age at menarche, oral-contraceptive use, education level, and indicator variables for four categories of age at first pregnancy (<20, 20 through 24, 25 through 29, and ≥30 years). Three indicator variables were created to represent the following categories among the women with no family history of breast cancer: one or two, three or four, and five or more live births. The women with no live births served as the reference group. Four additional indicator variables were used to represent these same four categories for the number of live births among the women with a family history of breast cancer. Although nulliparity and low parity (one or two live-born children) were associated with an increased risk of breast cancer among the women with a family history of breast cancer (Fig. 2Figure 2Adjusted Relative Risk of Breast Cancer in Postmenopausal Women According to Family History of Breast Cancer and Number of Live-Born Children.), a significant trend of decreasing risk with increasing parity was observed (P for trend = 0.0021). The association was less apparent among women without a family history of breast cancer (P for trend = 0.089).

Discussion

It is fairly well established that obesity influences the risk of postmenopausal breast cancer,40 but several recent studies suggest that the pattern of body-fat distribution also influences that risk.41 42 43 The mechanisms behind this association are not clear, but both body weight and waist-to-hip ratio are correlated positively with androgen levels.44 , 45 In postmenopausal women, the peripheral conversion of androgens, chiefly androstenedione, in adipose tissue is the chief source of estrogens.46 This indirect mechanism has been cited as the most likely explanation for the association of obesity with increased risk of breast cancer.47 However, androgens may also increase risk directly by increasing cell proliferation after binding to androgen receptors.48 Adipose tissue synthesizes substantial amounts of Type I insulin-like growth factors (IGF-I), and stromal cells within primary breast tumors express IGF-I receptors.49 The level of IGF receptors is positively correlated with the levels of estrogen and progesterone receptors,50 , 51 and the proliferation of breast-cancer cell lines by estrogen may be mediated through these IGF-I receptors.52 Finally, the body-mass index is also positively associated with increased concentrations of free and albumin-bound estradiol.53 It is the elevation in the non—protein-bound and albumin-bound fractions that appears to increase the risk of disease.54 55 56 The level of sex hormone—binding globulin is associated with the waist-to-hip ratio,57 and the data from the small study by Ingram et al.53 suggest decreased levels of sex hormone—binding globulin in women with a family history of breast cancer, above and beyond the decrease associated with obesity. Although an interaction of waist-to-hip ratio and family history in causing non-insulin-dependent diabetes has been suggested,58 a relation between these factors and the risk of breast cancer has apparently not been reported previously.

A number of studies have shown that obesity59 60 61 and body-fat distribution61 , 62 are influenced by genetic factors. The study by Stunkard and colleagues,60 for example, showed that the heritability of body-mass index in female twins reared apart may approach 70 percent. One tenable hypothesis raised by our data is that the familial aggregation of breast cancer in postmenopausal women and familial patterns of abdominal fat deposition are part of a common mechanistic pathway. At least one study has demonstrated that siblings of women with breast cancer are more obese than age-matched controls.32 In an earlier report based on two years of follow-up of this cohort,43 the elevation in the risk of breast cancer associated with a high waist-to-hip ratio appeared to be limited to older women with a high body-mass index. In the present analysis, interactions of the waist-to-hip ratio with body-mass index or age were not significant once the interaction of family history and waist-to-hip ratio was entered into the model, providing further support for the interpretation that these factors may be part of a common mechanistic pathway.63 However, these results should be considered preliminary until they are corroborated by other investigators.

Data from this study suggest that women with breast cancer who have a family history of the disease are more likely than those with no family history of breast cancer to be older at first pregnancy and to have fewer children. This observation has been supported by some earlier studies,4 , 11 but not by others.10 , 12 In our data set, these two risk factors were not independent: 79 percent of the women with breast cancer who had a family history of the disease and a first pregnancy at or after 30 years of age also had fewer than three live-born children, whereas only 43 percent of those with a family history of breast cancer and a first pregnancy before the age of 30 had fewer than three live-born children (P<0.05). In multivariate modeling, the interaction between family history and age at first pregnancy was no longer statistically significant once the interaction between family history and the number of live births was included. We were unable to determine in this study whether this risk profile reflects cultural inheritance or difficulty in becoming pregnant. The fact that age at first pregnancy and number of live births are highly inversely correlated further complicates efforts to disentangle their separate effects.

An older age at menarche was associated with a decreased risk of breast cancer only among women with no family history of the disease, but the power of this study to detect this association was lower for women with a family history of breast cancer. These data are consistent with the findings in previous reports.4 , 6 Early menopause, whether natural or medical, was not associated with a decreased risk of breast cancer in either family-history category. This finding is in direct contrast to that reported by Byrne et al.,12 who found a significant increase in risk with older age at natural menopause among women with a family history of breast cancer. Additional study is needed to clarify this inconsistency.

Methodologic limitations of this study warrant consideration. Data on family history of breast cancer were obtained from the women themselves; we did not attempt to verify reports of disease among relatives. However, the accuracy of reports of breast cancer among mothers and sisters is excellent.64 Furthermore, since information on family history was collected at base line, before the detection of disease, we avoided the recall bias inherent in case–control studies that examine family history.65 Since breast cancer develops in approximately one in nine women at some point in their lifetimes, a family history of the disease, as we have defined it, necessarily includes cases in which familial clustering has occurred by chance or as a result of common environmental exposure as well as those with a genetic or hereditary cause. These errors of misclassification would result in the underestimation of the true association between patterns of body-fat distribution and familial clustering of breast cancer. Furthermore, the limited data on family history do not enable us to determine the importance of the age at onset of breast cancer among the affected relatives (i.e., premenopausal vs. postmenopausal disease) on the observed associations.

Despite our rather broad definition of family history, this study indicates that a high waist-to-hip ratio and low parity are more important risk factors for breast cancer among women with a family history of the disease than among those without such a history. In addition, there is no evidence that the waist-to-hip ratio is correlated with low parity or an older age at first pregnancy; case patients with a family history of breast cancer who had waist-to-hip ratios above the fourth quintile were not more likely than those in the lower four quintile groups to have fewer than three live-born children (P>0.75) nor to be 30 years of age or older at first pregnancy (P>0.65). These results suggest etiologic differences between familial breast cancer and sporadic cases of the disease that may direct research into the underlying biologic mechanisms. They also suggest that postmenopausal women with a family history of breast cancer should be monitored particularly carefully if they also have a high waist-to-hip ratio, low parity, or both.

Supported by a grant (ROI CA39742) from the National Institutes of Health. Dr. Kaye's work was supported by a National Institutes of Health training grant (T32 CA099607).

Source Information

From the Division of Epidemiology, School of Public Health (T.A.S., L.H.K., J.D.P., S.A.K., C.L.N., P.G.M., A.R.F.), and the Institute of Human Genetics (T.A.S.), University of Minnesota, Minneapolis. Address reprint requests to Dr. Sellers at the Division of Epidemiology, 1300 S. Second St., Suite 300, Minneapolis, MN 55454.

References

References

  1. 1

    Anderson DE. A genetic study of human breast cancer . J Natl Cancer Inst 1972;48:1029–34.
    Web of Science | Medline

  2. 2

    AndersonGenetic study of breast cancer: identification of a high risk group . Cancer 1974;34:1090–7.
    CrossRef | Web of Science | Medline

  3. 3

    Ottman R, Pike MC, King M-C, Casagrande JT, Henderson BE. Familial breast cancer in a population-based series . Am J Epidemiol 1986;123:15–21.
    Web of Science | Medline

  4. 4

    Brinton LA, Hoover R, Fraumeni JF Jr. Interaction of familial and hormonal risk factors for breast cancer . J Natl Cancer Inst 1982;69:817–22.
    Web of Science | Medline

  5. 5

    Schwartz AG, King M-C, Belle SH, Satariano VA, Swanson GM. Risk of cancer to relatives of young breast cancer patients . J Natl Cancer Inst 1985;75:665–8.
    Web of Science | Medline

  6. 6

    Bain C, Speizer FE, Rosner B, Belanger C, Hennekens CH. Family history of breast cancer as a risk indicator for the disease . Am J Epidemiol 1980; 111:301–8.
    Web of Science | Medline

  7. 7

    Sattin RW, Rubin GL, Webster LA, et al. Family history and the risk of breast cancer . JAMA 1985;253:1908–13.
    CrossRef | Web of Science | Medline

  8. 8

    Mettlin C, Croghan I, Natarajan N, Lane W. The association of age and familial risk in a case–control study of breast cancer . Am J Epidemiol 1990; 131:973–83.
    Web of Science | Medline

  9. 9

    Claus EB, Risch NJ, Thompson WD. Age at onset as an indicator of familial risk of breast cancer . Am J Epidemiol 1990;131:961–72.
    Web of Science | Medline

  10. 10

    Farewell VT. The combined effect of breast cancer risk factors . Cancer 1977;40:931–6.
    CrossRef | Web of Science | Medline

  11. 11

    Dupont WD, Page DL. Breast cancer risk associated with proliferative disease, age at first birth, and a family history of breast cancer . Am J Epidemiol 1987;125:769–79.
    Web of Science | Medline

  12. 12

    Byrne C, Brinton LA, Haile RW, Schairer C. Heterogeneity of the effect of family history on breast cancer risk . Epidemiology 1991;2:276–84.
    CrossRef | Medline

  13. 13

    Malkin D, Li FP, Strong LC, et al. Germ line p53 mutations in a familial syndrome of breast cancer, sarcomas, and other neoplasms . Science 1990; 250:1233–8.
    CrossRef | Web of Science | Medline

  14. 14

    Srivastava S, Zou Z, Pirollo K, Blattner W, Chang EH. Germ-line transmission of a mutated p53 gene in a cancer-prone family with Li—Fraumeni syndrome . Nature 1990;348:747–9.
    CrossRef | Web of Science | Medline

  15. 15

    Prosser J, Elder PA, Condie A, MacFadyen I, Steel CM, Evans HJ. Mutations in p53 do not account for heritable breast cancer: a study in five affected families . Br J Cancer 1992;63:181–4.
    CrossRef | Web of Science

  16. 16

    Hall JM, Lee MK, Newman B, et al. Linkage of early-onset familial breast cancer to chromosome 17q21 . Science 1990;250:1684–9.
    CrossRef | Web of Science | Medline

  17. 17

    Narod SA, Feunteun J, Lynch HT, et al. Familial breast-ovarian cancer locus on chromosome 17q21–q23 . Lancet 1991;338:82–3.
    CrossRef | Web of Science | Medline

  18. 18

    King M-C, Go RCP, Elston RC, Lynch HT, Petrakis NL. Allele increasing susceptibility to human breast cancer may be linked to the glutamate-pyruvate transaminase locus . Science 1980;208:406–8.
    CrossRef | Web of Science | Medline

  19. 19

    Skolnick MH, Thompson EA, Bishop DT, Cannon LA. Possible linkage of a breast cancer-susceptibility locus to the ABO locus: sensitivity of LOD scores to a single new recombinant observation . Genet Epidemiol 1984; 1: 363–73.
    CrossRef | Medline

  20. 20

    Wilson AF, Bailey-Wilson JE, Cleton FJ, Elston RC, King M-C. Linkage analysis of Dutch families at high risk for breast cancer . Genet Epidemiol Suppl 1986;1:87–92.
    CrossRef | Medline

  21. 21

    Ferrell RE, Anderson DE, Chidambaram A, Marino TR, Badzioch M. A genetic linkage study of familial breast-ovarian cancer . Cancer Genet Cytogenet 1989;38:241–8.
    CrossRef | Web of Science | Medline

  22. 22

    Goldstein AM, Haile RW, Spence MA, Sparkes RS, Paganini-Hill A. A genetic epidemiologic investigation of breast cancer in families with bilateral breast cancer. II. Linkage analysis . Clin Genet 1989;36:100–6.
    CrossRef | Web of Science | Medline

  23. 23

    Zuppan P, Hall JM, Lee MK, Ponglikitmongkol M, King M-C. Possible linkage of the estrogen receptor gene to breast cancer in a family with late-onset disease . Am J Hum Genet 1991;48:1065–8.
    Web of Science | Medline

  24. 24

    Henderson BE, Ross RK, Bernstein L. Estrogens as a cause of human cancer: the Richard and Hinda Rosenthal Foundation award lecture . Cancer Res 1988;48:246–53.
    Web of Science | Medline

  25. 25

    Key TJA, Pike MC. The role of oestrogens and progestagens in the epidemiology and prevention of breast cancer . Eur J Cancer Clin Oncol 1988;24:29–43.
    CrossRef | Medline

  26. 26

    Henderson BE, Gerkins V, Rosario I, Casagrande J, Pike MC. Elevated serum levels of estrogen and prolactin in daughters of patients with breast cancer . N Engl J Med 1975;293:790–5.
    Full Text | Web of Science | Medline

  27. 27

    Pike MC, Casagrande JT, Brown JB, Gerkins V, Henderson BE. Comparison of urinary and plasma hormone levels in daughters of breast cancer patients and controls . J Natl Cancer Inst 1977;59:1351–5.
    Web of Science | Medline

  28. 28

    Morgan RW, Vakil DV, Brown JB, Elinson L. Estrogen profiles in young women: effect of maternal history of breast cancer . J Natl Cancer Inst 1978; 60:965–7.
    Web of Science | Medline

  29. 29

    Bulbrook RD, Moore JW, Clark GM, Wang DY, Tong D, Hayward JL. Plasma oestradiol and progesterone levels in women with varying degrees of risk of breast cancer . Eur J Cancer 1978;14:1369–75.
    CrossRef | Web of Science | Medline

  30. 30

    Fishman J, Fukushima DK, O'Connor J, Lynch HT. Low urinary estrogen glucuronides in women at risk for familial breast cancer . Science 1979;204: 1089–91.
    CrossRef | Web of Science | Medline

  31. 31

    Fishman J, Bradlow HL, Fukushima DK, et al. Abnormal estrogen conjugation in women at risk for familial breast cancer at the periovulatory stage of the menstrual cycle . Cancer Res 1983;43:1884–90.
    Web of Science | Medline

  32. 32

    Begg L, Kuller LH, Gutai JP, Caggiula AR, Wolmark N, Watson CG. Endogenous sex hormone levels and breast cancer risk . Genet Epidemiol 1987;4:233–47.
    CrossRef | Web of Science | Medline

  33. 33

    Andrieu N, Clavel F, Demenais F. Familial susceptibility to breast cancer: a complex inheritance . Int J Cancer 1989;44:415–8.
    CrossRef | Web of Science | Medline

  34. 34

    King M-C, Lee GM, Spinner NB, Thomson G, Wrensch MR. Genetic epidemiology . Annu Rev Public Health 1984;5:1–52.
    CrossRef | Web of Science | Medline

  35. 35

    Folsom AR, Kaye SA, Potter JD, Prineas RJ. Association of incident carcinoma of the endometrium with body weight and fat distribution in older women: early findings of the Iowa Women's Health Study . Cancer Res 1989;49:6828–31.
    Web of Science | Medline

  36. 36

    Kushi LH, Kaye SA, Folsom AR, Soler JT, Prineas RJ. Accuracy and reliability of self-measurement of body girths . Am J Epidemiol 1988;128: 740–8.
    Web of Science | Medline

  37. 37

    Schneider NR, Chaganti SR, German J, Chaganti RSK. Familial predisposition to cancer and age at onset of disease in randomly selected cancer patients . Am J Hum Genet 1983;35:454–67.
    Web of Science | Medline

  38. 38

    Breslow NE, Day NE. Statistical methods in cancer research. Vol. 2. The design and analysis of cohort studies. Lyon, France: International Agency for Research on Cancer, 1987:82–118.

  39. 39

    SAS user's guide: statistics, version 5 ed. Cary, N.C.: SAS Institute, 1985.

  40. 40

    Kelsey JL, Berkowitz GS. Breast cancer epidemiology . Cancer Res 1988; 48:5615–23.
    Web of Science | Medline

  41. 41

    Ballard-Barbash R, Schatzkin A, Carter CL, et al. Body fat distribution and breast cancer in the Framingham Study . J Natl Cancer Inst 1990;82:286–90.
    CrossRef | Web of Science | Medline

  42. 42

    Schapira DV, Kumar NB, Lyman GH, Cox CE. Abdominal obesity and breast cancer risk . Ann Intern Med 1990;112:182–6.
    Web of Science | Medline

  43. 43

    Folsom AR, Kaye SA, Prineas RJ, Potter JD, Gapstur SM, Wallace RB. Increased incidence of carcinoma of the breast associated with abdominal adiposity in postmenopausal women . Am J Epidemiol 1990;131:794–803.
    Web of Science | Medline

  44. 44

    Evans DJ, Hoffman RG, Kalkhoff RK, Kissenbah AH. Relationship of androgenic activity to body fat topography, fat cell morphology, and metabolic aberrations in premenopausal women . J Clin Endocrinol Metab 1983;57:304–10.
    CrossRef | Web of Science | Medline

  45. 45

    Kirschner MA, Samojlik E, Drejka M, Szmal E, Schneider G, Ertel N. Androgen-estrogen metabolism in women with upper body versus lower body obesity . J Clin Endocrinol Metab 1990;70:473–9.
    CrossRef | Web of Science | Medline

  46. 46

    Grodin JM, Siiteri PK, MacDonald PC. Source of estrogen production in postmenopausal women . J Clin Endocrinol Metab 1973;36:207–14.
    CrossRef | Web of Science | Medline

  47. 47

    Lubin F, Ruder AM, Wax Y, Modan B. Overweight and changes in weight throughout adult life in breast cancer etiology: a case–control study . Am J Epidemiol 1985;122:579–88.
    Web of Science | Medline

  48. 48

    Bryan RM, Mercer RJ, Bennett RC, Rennie GC, Lie TH, Morgan FJ. Androgen receptors in breast cancer . Cancer 1984;54:2436–40.
    CrossRef | Web of Science | Medline

  49. 49

    Yee D, Paik S, Levovic GS, et al. Analysis of insulin-like growth factor I gene expression in malignancy: evidence for a paracrine role in human breast cancer . Mol Endocrinol 1989;3:509–17.
    CrossRef | Web of Science | Medline

  50. 50

    Pekonen F, Partanen S, Makinen T, Rutanen E-M. Receptors for epidermal growth factor and insulin-like growth factor I and their relation to steroid receptors in human breast cancer . Cancer Res 1988;48:1343–7.
    Web of Science | Medline

  51. 51

    Foekens JA, Portengen H, Janssen M, Klijn JGM. Insulin-like growth factor-1 receptors and insulin-like growth factor-1-like activity in human primary breast cancer . Cancer 1989;63:2139–47.
    CrossRef | Web of Science | Medline

  52. 52

    Stewart AJ, Johnson MD, May FEB, Westley BR. Role of insulin-like growth factors and the type I insulin-like growth factor receptor in the estrogen-stimulated proliferation of human breast cancer cells . J Biol Chem 1990;265:21172–8.
    Web of Science | Medline

  53. 53

    Ingram DM, Nottage EM, Willcox DL, Roberts A. Oestrogen binding and risk factors for breast cancer . Br J Cancer 1990;61:303–7.
    CrossRef | Web of Science | Medline

  54. 54

    Moore JW, Key TJA, Bulbrook RD, et al. Sex hormone binding globulin and risk factors for breast cancer in a population of normal women who had never used exogenous sex hormones . Br J Cancer 1987;56:661–6.
    CrossRef | Web of Science | Medline

  55. 55

    Reed MJ, Cheng RW, Noel CT, Dudley HAF, James VHT. Plasma levels of estrone, estrone sulfate, and estradiol and the percentage of unbound estradiol in postmenopausal women with and without breast disease . Cancer Res 1983;43:3940–3.
    Web of Science | Medline

  56. 56

    Ota DM, Jones LA, Jackson GL, Jackson PM, Kemp K, Bauman D. Obesity, non-protein-bound estradiol levels, and distribution of estradiol in the sera of breast cancer patients . Cancer 1986;57:558–62.
    CrossRef | Web of Science | Medline

  57. 57

    Kaye SA, Folsom AR, Soler JT, Prineas RJ, Potter JD. Associations of body mass and fat distribution with sex hormone concentrations in postmenopausal women . Int J Epidemiol 1991;20:151–6.
    CrossRef | Web of Science | Medline

  58. 58

    Morris RD, Rimm AA. Association of waist to hip ratio and family history with the prevalence of NIDDM among 25,272 adult, white females . Am J Public Health 1991;81:507–9.
    CrossRef | Web of Science | Medline

  59. 59

    Stunkard AJ, Sørensen TIA, Hanis C, et al. An adoption study of human obesity . N Engl J Med 1986;314:193–8.
    Full Text | Web of Science | Medline

  60. 60

    Stunkard AJ, Harris JR, Pedersen NL, McCleam GE. The body-mass index of twins who have been reared apart . N Engl J Med 1990;322:1483–7.
    Full Text | Web of Science | Medline

  61. 61

    Selby JV, Newman B, Quesenberry CP Jr, Fabsitz RR, King M-C, Meaney FJ. Evidence of genetic influence on central body fat in middle-aged twins . Hum Biol 1989;61:179–94.
    Web of Science | Medline

  62. 62

    Bouchard C, Perusse L, Leblanc C, Tremblay A, Theriault G. Inheritance of the amount and distribution of human body fat . Int J Obes 1988;12:205–15.
    Web of Science | Medline

  63. 63

    Greenland S, Poole C. Invariants and noninvariants in the concept of inter-dependent effects . Scand J Work Environ Health 1988;14:125–9.
    Web of Science | Medline

  64. 64

    Go RC, King M-C, Bailey-Wilson JE, Elston RC, Lynch HT. Genetic epidemiology of breast cancer and associated cancers in high-risk families. I. Segregation analysis . J Natl Cancer Inst 1983;71:455–61.
    Web of Science | Medline

  65. 65

    Sackett DL. Bias in analytic research . J Chronic Dis 1979;32:51–63.
    CrossRef | Medline

Citing Articles (72)

Citing Articles

  1. 1

    D. Withrow, D. A. Alter. (2011) The economic burden of obesity worldwide: a systematic review of the direct costs of obesity. Obesity Reviews 12:2, 131-141
    CrossRef

  2. 2

    M Kawai, Y Minami, S Kuriyama, M Kakizaki, Y Kakugawa, Y Nishino, T Ishida, A Fukao, I Tsuji, N Ohuchi. (2010) Adiposity, adult weight change and breast cancer risk in postmenopausal Japanese women: the Miyagi Cohort Study. British Journal of Cancer 103:9, 1443-1447
    CrossRef

  3. 3

    Dai Komata, Tetsuro Yahata, Shoji Kodama, Yu Koyama, Nobuo Takeda, Kenzo Tajima, Haruhiko Makino, Nobuaki Sato, Ichiro Muto, Katsuyoshi Hatakeyama, Kenichi Tanaka. (2009) The prevalence of hereditary breast/ovarian cancer risk in patients with a history of breast or ovarian cancer in Japanese subjects. Journal of Obstetrics and Gynaecology Research 35:5, 912-917
    CrossRef

  4. 4

    Megan L. Welsh, Diana S. M. Buist, Erin J. Aiello Bowles, Melissa L. Anderson, Joann G. Elmore, Christopher I. Li. (2009) Population-based estimates of the relation between breast cancer risk, tumor subtype, and family history. Breast Cancer Research and Treatment 114:3, 549-558
    CrossRef

  5. 5

    Salvador Mena, Angel Ortega, José M. Estrela. (2009) Oxidative stress in environmental-induced carcinogenesis. Mutation Research/Genetic Toxicology and Environmental Mutagenesis 674:1-2, 36-44
    CrossRef

  6. 6

    Daisuke Soma, Joji Kitayama, Hiroharu Yamashita, Hideyo Miyato, Makoto Ishikawa, Hirokazu Nagawa. (2008) Leptin Augments Proliferation of Breast Cancer Cells via Transactivation of HER2. Journal of Surgical Research 149:1, 9-14
    CrossRef

  7. 7

    Anna E. Prizment, Kristin E. Anderson, Bernard L. Harlow, Aaron R. Folsom. (2007) Reproductive risk factors for incident bladder cancer: Iowa Women's Health Study. International Journal of Cancer 120:5, 1093-1098
    CrossRef

  8. 8

    Stephenie C. Lemon, Jane G. Zapka, Lynn Clemow, Barbara Estabrook, Ken Fletcher. (2006) Mammography screening after breast cancer diagnosis in a first degree female relative: age group differences (United States). Cancer Causes & Control 17:8, 1053-1065
    CrossRef

  9. 9

    Grethe Albrektsen, Ivar Heuch, Steinar Thoresen, Gunnar Kvåle. (2006) Family history of breast cancer and short-term effects of childbirths on breast cancer risk. International Journal of Cancer 119:6, 1468-1474
    CrossRef

  10. 10

    Rachel Ballard-Barbash. 2005. Obesity, Weight Change, and Breast Cancer Incidence. , 219-232.
    CrossRef

  11. 11

    Anne-Marie Ugnat, Sai Yi Pan, Yang Mao. 2005. Obesity as a Cancer Risk Factor. .
    CrossRef

  12. 12

    Nagi B. Kumar, Diane Riccardi, Alan Cantor, Kyle Dalton, Kathy Allen. (2005) A Case-Control Study Evaluating the Association of Purposeful Physical Activity, Body Fat Distribution, and Steroid Hormones on Premenopausal Breast Cancer Risk. The Breast Journal 11:4, 266-272
    CrossRef

  13. 13

    A. García Palomo, Á. Rodríguez Sánchez, P. Diz Tain, C. Castañón López. (2005) Cáncer de mama (I). Medicine - Programa de Formación Médica Continuada Acreditado 9:26, 1681-1691
    CrossRef

  14. 14

    Stephenie C Lemon, Jane G Zapka, Lynn Clemow. (2004) Health behavior change among women with recent familial diagnosis of breast cancer. Preventive Medicine 39:2, 253-262
    CrossRef

  15. 15

    A.R Carmichael, S Bendall, L Lockerbie, R.J Prescott, T Bates. (2004) Does obesity compromise survival in women with breast cancer?. The Breast 13:2, 93-96
    CrossRef

  16. 16

    Peter T. Katzmarzyk, Ian Janssen. (2004) The Economic Costs Associated With Physical Inactivity and Obesity in Canada: An Update. Canadian Journal of Applied Physiology 29:1, 90-115
    CrossRef

  17. 17

    Bruce J. Ellis. (2004) Timing of Pubertal Maturation in Girls: An Integrated Life History Approach.. Psychological Bulletin 130:6, 920-958
    CrossRef

  18. 18

    Susan H Lee, Kwei Akuete, John Fulton, David Chelmow, Maureen A Chung, Blake Cady. (2003) An increased risk of breast cancer after delayed first parity. The American Journal of Surgery 186:4, 409-412
    CrossRef

  19. 19

    Linda A Merlino, James R Cerhan, Lindsey A Criswell, Ted R Mikuls, Kenneth G Saag. (2003) Estrogen and other female reproductive risk factors are not strongly associated with the development of rheumatoid arthritis in elderly women. Seminars in Arthritis and Rheumatism 33:2, 72-82
    CrossRef

  20. 20

    M. Harvie, L. Hooper, A.H. Howell. (2003) Central obesity and breast cancer risk: a systematic review. Obesity Reviews 4:3, 157-173
    CrossRef

  21. 21

    Serdar E. Bulun, Zongjuan Fang, Bilgin Gurates, Mitsutoshi Tamura, Bertan Yilmaz, Sanober Amin, Sijun Yang. (2003) Aromatase in Health and Disease. The Endocrinologist 13:3, 269-276
    CrossRef

  22. 22

    H. Becher. (2003) Reproductive factors and familial predisposition for breast cancer by age 50 years. A case-control-family study for assessing main effects and possible gene-environment interaction. International Journal of Epidemiology 32:1, 38-48
    CrossRef

  23. 23

    Kevin S. Hughes, Constance Roche, Curtis T. Campbell, Nancy Siegel, Lisa Salisbury, Amy Chekos, Maya S. Katz, Erica Edell. (2003) Prevalence of Family History of Breast and Ovarian Cancer in a Single Primary Care Practice Using a Self-Administered Questionnaire. The Breast Journal 9:1, 19-25
    CrossRef

  24. 24

    H. Olsson, A. Bladström. (2002) A Cohort Study of Reproductive Factors and Family History of Breast Cancer in Southern Sweden. Breast Cancer Research and Treatment 76:3, 203-209
    CrossRef

  25. 25

    Julie A Lovegrove. (2002) Obesity, body fat distribution and breast cancer. Nutrition Research Reviews 15:02, 389
    CrossRef

  26. 26

    Wei Zheng, Wan-Qing Wen, Deborah R. Gustafson, Myron Gross, James R. Cerhan, Aaron R. Folsom. (2002) GSTM1 and GSTT1 polymorphisms and postmenopausal breast cancer risk. Breast Cancer Research and Treatment 74:1, 9-16
    CrossRef

  27. 27

    Mark A Moyad. (2002) Is obesity a risk factor for prostate cancer, and does it even matter? A hypothesis and different perspective. Urology 59:4, 41-50
    CrossRef

  28. 28

    Carol J. Fabian, Bruce F. Kimler. (2002) Chemoprevention of Breast Cancer. Drugs & Aging 19:1, 43-78
    CrossRef

  29. 29

    Thomas A. Sellers, Lawrence H. Kushi, James R. Cerhan, Robert A. Vierkant, Susan M. Gapstur, Celine M. Vachon, Janet E. Olson, Terry M. Therneau, Aaron R. Folsom. (2001) Dietary Folate Intake, Alcohol, and Risk of Breast Cancer in a Prospective Study of Postmenopausal Women. Epidemiology 12:4, 420-428
    CrossRef

  30. 30

    J.E. Olson, L.D. Atwood, D.M. Grabrick, C.M. Vachon, T.A. Sellers. (2001) Evidence for a major gene influence on abdominal fat distribution: The Minnesota breast cancer family study. Genetic Epidemiology 20:4, 458-478
    CrossRef

  31. 31

    C M Friedenreich. (2001) Review of anthropometric factors and breast cancer risk. European Journal of Cancer Prevention 10:1, 15-32
    CrossRef

  32. 32

    Nagi B. Kumar, Alan Cantor, Kathy Allen, Charles E. Cox. (2000) Android obesity at diagnosis and breast carcinoma survival. Cancer 88:12, 2751-2757
    CrossRef

  33. 33

    Helena C.B. Jernström, Oskar T. Johannsson, Niklas Loman, Åke Borg, Håkan Olsson. (1999) Reproductive factors in hereditary breast cancer. Breast Cancer Research and Treatment 58:3, 293-299
    CrossRef

  34. 34

    MELANIE A. Price, CHRISTOPHER C. Tennant, ROSS C. Smith, SUSAN J. Kennedy, PHYLLIS N. Butow, MARJORIE B. Kossoff, STEWART M. Dunn. (1999) PREDICTORS OF BREAST CANCER IN WOMEN RECALLED FOLLOWING SCREENING. ANZ Journal of Surgery 69:9, 639-646
    CrossRef

  35. 35

    Janet E. Olson, Thomas A. Sellers, Kristin E. Anderson, Aaron R. Folsom. (1999) Does a family history of cancer increase the risk for postmenopausal endometrial carcinoma?. Cancer 85:11, 2444-2449
    CrossRef

  36. 36

    Ann E. Taylor. (1998) Understanding the underlying metabolic abnormalities of polycystic ovary syndrome and their implications. American Journal of Obstetrics and Gynecology 179:6, S94-S100
    CrossRef

  37. 37

    Mary K. Anglin. (1998) Dismantling the master's house: Cancer activists, discourses of prevention, and environmental justice. Identities 5:2, 183-217
    CrossRef

  38. 38

    Christine M. Friedenreich, Inger Thune, Louise A. Brinton, Demetrius Albanes. (1998) Epidemiologic issues related to the association between physical activity and breast cancer. Cancer 83:S3, 600-610
    CrossRef

  39. 39

    Laurie Hoffman-Goetz, Dan Apter, Wendy Demark-Wahnefried, Michael I. Goran, Anne McTiernan, Marsha E. Reichman. (1998) Possible mechanisms mediating an association between physical activity and breast cancer. Cancer 83:S3, 621-628
    CrossRef

  40. 40

    Rudolf Kaaks, Paul A. H. Van Noord, Isolde Den Tonkelaar, Petra H. M. Peeters, Elio Riboli, Diederick E. Grobbee. (1998) Breast-cancer incidence in relation to height, weight and body-fat distribution in the Dutch “DOM” cohort. International Journal of Cancer 76:5, 647-651
    CrossRef

  41. 41

    André Bongain, Véronique Isnard, Jean-Yves Gillet. (1998) Obesity in obstetrics and gynaecology. European Journal of Obstetrics & Gynecology and Reproductive Biology 77:2, 217-228
    CrossRef

  42. 42

    Celine M. Vachon, Thomas A. Sellers, Lawrence H. Kushi, Aaron R. Folsom. (1998) Familial correlation of dietary intakes among postmenopausal women. Genetic Epidemiology 15:6, 553-563
    CrossRef

  43. 43

    Thomas M. Price, Susan N. O'Brien, Brenda H. Welter, Richard George, Jyoti Anandjiwala, Michael Kilgore. (1998) Estrogen regulation of adipose tissue lipoprotein lipase—Possible mechanism of body fat distribution. American Journal of Obstetrics and Gynecology 178:1, 101-107
    CrossRef

  44. 44

    J. F. WINTHER, L. DREYER, K. OVERVAD, A. TJØNNELAND, M. GERHARDSSON VERDIER. (1997) Diet, obesity and low physical activity. APMIS 105:S76, 100-119
    CrossRef

  45. 45

    Margaret McCredie, Charlotte Paul, David C.G. Skegg, Sheila Williams. (1997) Family history and risk of breast cancer in New Zealand. International Journal of Cancer 73:4, 503-507
    CrossRef

  46. 46

    N. Andrieu, F. Demenais. (1997) Interactions between Genetic and Reproductive Factors in Breast Cancer Risk in a French Family Sample. The American Journal of Human Genetics 61:3, 678-690
    CrossRef

  47. 47

    Ivana Unic, Peep F.M Stalmeier, Petronella G.M Peer, Willem A.J van Daal. (1997) A review on family history of breast cancer: screening and counseling proposals for women with familial (non-hereditary) breast cancer. Patient Education and Counseling 32:1-2, 117-127
    CrossRef

  48. 48

    T J Doyle, W Zheng, J R Cerhan, C P Hong, T A Sellers, L H Kushi, A R Folsom. (1997) The association of drinking water source and chlorination by-products with cancer incidence among postmenopausal women in Iowa: a prospective cohort study.. American Journal of Public Health 87:7, 1168-1176
    CrossRef

  49. 49

    Wendy Demark‐Wahnefried, Mark R. Conaway, Cary N. Robertson, Barbara J. Mathias, E. Everett Anderson, David F. Paulson. (1997) Anthropometric risk factors for prostate cancer. Nutrition and Cancer 28:3, 302-307
    CrossRef

  50. 50

    Lorna M. Seybolt, Celine Vachon, Karen Potter, Wei Zheng, Lawrence H. Kushi, Paul G. McGovern, Thomas A. Sellers. (1997) Evaluation of potential sources of bias in a genetic epidemiologic study of breast cancer. Genetic Epidemiology 14:1, 85-95
    CrossRef

  51. 51

    Satu Männistö, Pirjo Pietinen, Marjo Pyy, Juni Palmgren, Matti Eskelinen, Matti Uusitupa. (1996) Body-size indicators and risk of breast cancer according to menopause and estrogen-receptor status. International Journal of Cancer 68:1, 8-13
    CrossRef

  52. 52

    MARY M. KRAMER, CHRISTINE L. WELLS. (1996) Does physical activity reduce risk of estrogen-dependent cancer in women?. Medicine & Science in Sports & Exercise 28:3, 322-334
    CrossRef

  53. 53

    Marie-Élise Parent, Parviz Ghadirian, André Lacroix. (1996) Familial clustering of obesity and breast cancer. Genetic Epidemiology 13:1, 61-78
    CrossRef

  54. 54

    Angela M. Tutera, Thomas A. Sellers, John D. Potter, Carol R. Drinkard, Georgia L. Wiesner, Aaron R. Folsom. (1996) Association between family history of cancer and breast cancer defined by estrogen and progesterone receptor status. Genetic Epidemiology 13:2, 207-221
    CrossRef

  55. 55

    Hoda Anton-Culver, Tom Kurosaki, Thomas H. Taylor, Maureen Gildea, Debra Brunner, Deborah Bringman. (1996) Validation of family history of breast cancer and identification of the BRCA1 and other syndromes using a population-based cancer registry. Genetic Epidemiology 13:2, 193-205
    CrossRef

  56. 56

    A R Folsom, P J Mink, T A Sellers, C P Hong, W Zheng, J D Potter. (1995) Hormonal replacement therapy and morbidity and mortality in a prospective study of postmenopausal women.. American Journal of Public Health 85:8 Pt 1, 1128-1132
    CrossRef

  57. 57

    Shumin Zhang, Aaron R. Folsom, Thomas A. Sellers, Lawrence H. Kushi, John D. Potter. (1995) Better breast cancer survival for postmenopausal women who are less overweight and eat less fat. The Iowa women's health study. Cancer 76:2, 275-283
    CrossRef

  58. 58

    Nagi B. Kumar, Gary H. Lyman, Kathy Allen, Charles E. Cox, David V. Schapira. (1995) Timing of weight gain and breast cancer risk. Cancer 76:2, 243-249
    CrossRef

  59. 59

    Isolde Tonkelaar, Frits Waard, Jacob C. Seidell, Jacques Fracheboud. (1995) Obesity and subcutaneous fat patterning in relation to survival of postmenopausal breast cancer patients participating in the DOM-project. Breast Cancer Research and Treatment 34:2, 129-137
    CrossRef

  60. 60

    Martha L. Slattery, Elizabeth O'Brien, Motomi Mori. (1995) Disease heterogeneity: Does it impact our ability to detect dietary associations with breast cancer?. Nutrition and Cancer 24:3, 213-220
    CrossRef

  61. 61

    Ping-Ling Chen, Thomas A. Sellers, Stephen S. Rich, John D. Potter, Aaron R. Folsom. (1995) Segregation analysis of breast cancer in a population-based sample of postmenopausal probands: The Iowa women's health study. Genetic Epidemiology 12:4, 401-415
    CrossRef

  62. 62

    Rachel Ballard-Barbash. (1994) Anthropometry and breast cancer. Body size-a moving target. Cancer 74:S3, 1090-1100
    CrossRef

  63. 63

    Serdar E. Bulun, Mala S. Mahendroo, Evan R. Simpson. (1994) Aromatase gene expression in adipose tissue: Relationship to breast cancer. The Journal of Steroid Biochemistry and Molecular Biology 49:4-6, 319-326
    CrossRef

  64. 64

    Serdar E. Bulun, Evan R. Simpson. (1994) Breast cancer and expression of aromatase in breast adipose tissue. Trends in Endocrinology & Metabolism 5:3, 113-120
    CrossRef

  65. 65

    Tim Byers. (1994) Nutritional risk factors for breast cancer. Cancer 74:S1, 288-295
    CrossRef

  66. 66

    Douglas W. Thompson. (1994) Genetic epidemiology of breast cancer. Cancer 74:S1, 279-287
    CrossRef

  67. 67

    Edith A. Zang, Ernst L. Wynder. (1994) The association between body mass index and the relative frequencies of diseases in a sample of hospitalized patients. Nutrition and Cancer 21:3, 247-261
    CrossRef

  68. 68

    Serdar E. Bulun, Evan R. Simpson. (1994) Regulation of aromatase expression in human tissues. Breast Cancer Research and Treatment 30:1, 19-29
    CrossRef

  69. 69

    Roberd M. Bostick, John D. Potter, Lawrence H. Kushi, Thomas A. Sellers, Kristi A. Steinmetz, David R. McKenzie, Susan M. Gapstur, Aaron R. Folsom. (1994) Sugar, meat, and fat intake, and non-dietary risk factors for colon cancer incidence in Iowa women (United States). Cancer Causes & Control 5:1, 38-52
    CrossRef

  70. 70

    N. Andrieu, F. Clavel, A. Auquier, M.G. Lê, B. Gairard, L. Piana, A. Brémond, J. Lansac, R. Flamant, R. Renaud. (1993) Variations in the risk of breast cancer associated with a family history of breast cancer according to age at onset and reproductive factors. Journal of Clinical Epidemiology 46:9, 973-980
    CrossRef

  71. 71

    L. A. Cohen, D. P. Rose, E. L. Wynder. (1993) A rationale for dietary intervention in postmenopausal breast cancer patients: An update. Nutrition and Cancer 19:1, 1-10
    CrossRef

  72. 72

    (1992) Family History, Body-Fat Distribution, and the Risk of Breast Cancer. New England Journal of Medicine 327:13, 958-959
    Full Text

Letters