Background: The evidence on the relation of family history of cancers other than breast cancer to breast cancer risk is conflicting, and most studies have not assessed specific breast cancer subtypes.

Methods: We assessed the relation of first-degree family history of breast, prostate, lung, colorectal, ovarian, and cervical cancer and lymphoma or leukemia, to the risk of estrogen receptor–positive (ER+), ER, and triple-negative breast cancer in data from the African American Breast Cancer Epidemiology and Risk Consortium. Multivariable logistic regression models were used to calculate ORs and 95% confidence intervals (CI).

Results: There were 3,023 ER+ and 1,497 ER breast cancer cases (including 696 triple-negative cases) and 17,420 controls. First-degree family history of breast cancer was associated with increased risk of each subtype: OR = 1.76 (95% CI, 1.57–1.97) for ER+, 1.67 (1.42–1.95) for ER, and 1.72 (1.38–2.13) for triple-negative breast cancer. Family history of cervical cancer was associated with increased risk of ER (OR = 2.39; 95% CI, 1.36–4.20), but not ER+ cancer. Family history of both breast and prostate cancer was associated with increased risk of ER+ (3.40; 2.42–4.79) and ER (2.09; 1.21–3.63) cancer, but family history of both breast and lung cancer was associated only with ER cancer (2.11; 1.29–3.46).

Conclusions: A family history of cancers other than breast may influence the risk of breast cancer, and associations may differ by subtype.

Impact: Greater surveillance and counseling for additional screening may be warranted for women with a family history of cancer. Cancer Epidemiol Biomarkers Prev; 25(2); 366–73. ©2015 AACR.

Having a mother, sister, or daughter with a breast cancer diagnosis is a well-known risk factor for breast cancer (1). Among African American women, estimates of the relative risk for first-degree family history of breast cancer range from 1.65 to 1.78 (2, 3), similar to findings from studies of European American and Asian women (1, 4, 5). Among studies that reported results separately for estrogen receptor (ER)–positive and ER breast cancer, most reported similar associations by subtype (3, 6–11), whereas one reported a stronger association with ER+ cancer (12) and two reported a stronger relation for ER breast cancer (13, 14). Only the Black Women's Health Study (BWHS) reported on family history separately for ER+ and ER breast cancer in African American women, with similar increases by subtype, but findings were based on small numbers (3).

A first-degree family history of cancers other than breast cancer may also increase breast cancer risk. Family history of prostate (15, 16), lung (17), ovarian (18), and colon or colorectal cancer (3, 16) have been associated with greater risk of breast cancer in some, but not all studies that examined specific other cancers. In studies that examined combinations of cancers, risk of breast cancer was elevated for family history of breast and prostate cancers (15), breast and ovarian cancers (19, 20), and breast and colorectal cancers (16, 21, 22). Among African American women, family histories of lung cancer (23), colon cancer (3), or both breast and prostate cancer (16) were associated with increased risk of breast cancer.

The objective of this study was to investigate the relation of first-degree family history of breast and other cancers to the risk of ER+, ER, and triple-negative breast cancer in African American women.

The African American Breast Cancer Epidemiology and Risk (AMBER) Consortium has been described in detail elsewhere (24). The AMBER Consortium pools data on African American women from two cohort studies, the BWHS and the Multiethnic Cohort Study (MEC), and two case–control studies, the Carolina Breast Cancer Study (CBCS) and the Women's Circle of Health Study (WCHS). Informed consent was provided to each study by its participants. Each study and the consortium were approved by the relevant Institutional Review Boards.

The BWHS is a prospective cohort study that enrolled 59,000 African American women across the United States in 1995 (25). Participants were 21 to 69 years old at baseline when they completed an extensive health questionnaire and are followed with biennial questionnaires for data on incident diagnoses and other factors. Incident breast cancers were identified through self-report on questionnaires or through linkage to state cancer registries. For the AMBER Consortium, a nested case–control study was created; cohort participants without breast cancer were frequency-matched to cases based on age (5-year categories), geographic region, and the most recent completed questionnaire.

The MEC is a prospective cohort study that enrolled men and women in Los Angeles county and Hawaii from 1993 through 1996 (26). Participants were 45 to 75 years at baseline when they completed an extensive questionnaire and have been followed with questionnaires in 1999, 2003, and 2010 to update information. Breast cancer diagnoses are identified through linkage with the Los Angeles County Cancer Surveillance Program and the California Cancer Registry. A nested case–control study of African American women was created to pool MEC data with the AMBER Consortium. Controls, selected from women who had not developed breast cancer, were frequency-matched to cases on age (5-year categories) and the most recent completed questionnaire.

The CBCS is a case–control study that enrolled women in North Carolina from 1993 through 2001 (27). Participants were 20 to 74 years old and were interviewed inperson. Cases were identified through the North Carolina Central Cancer Registry, while controls were identified through Division of Motor Vehicle lists or Health Care Financing Administration lists. Controls were frequency-matched to cases on the basis of age (5-year categories).

The WCHS is a case–control study that enrolled women in New York from 2003 through 2008 and in New Jersey beginning in 2006 (28). Recruitment in New Jersey is ongoing. Participants were 20 to 75 years old and were interviewed in person for data collection. Cases were identified through New York City hospitals and the New Jersey State Cancer Registry, while controls were identified through random digit dialing and community-based recruitment (29). Controls were frequency-matched to cases on the basis of age (5-year categories).

Each study confirmed incident breast cancer cases with data on ER, progesterone receptor (PR), and HER2 obtained from medical records and/or state cancer registries (24). Cases were classified as ER+, ER, and triple-negative (ER/PR/HER2). Of the 5,736 potential cases, ER status was available for 4,520 cases (79%) at the time of this analysis. PR status was available for 4,301 cases (75%); HER2 status was available for fewer cases (2,927; 51%), due to more recent inclusion of HER2 in routine testing. There were no statistically significant differences between women with and without known receptor status by age or family history of breast cancer. In total, there were 3,023 ER+ cases, 1,497 ER cases (including 696 triple-negative cases), and 17,420 controls.

Participants were asked whether any parent, sibling, or child (first-degree relative) had been diagnosed with breast cancer and whether the relative was diagnosed before age 50. Participants were also asked about first-degree family history of ovarian, colorectal, prostate, lung, and cervical cancer and lymphoma or leukemia.

Each study obtained detailed data on most known and suspected risk factors for breast cancer. Variables were centrally harmonized and evaluated as risk factors for breast cancer overall and for ER+, ER, and triple-negative breast cancer (24, 30–33).

Statistical analysis

Multinomial logistic regression models were used to calculate ORs and 95% confidence intervals (CI) for the relation of family history of cancer to the risk of ER+, ER, and triple-negative breast cancer. Multivariable models adjusted for the design variables, age (5-year categories), study (BWHS, CBCS, MEC, and WCHS), geographic region (Northeast excluding New Jersey, New Jersey, South, Midwest, and West), and questionnaire time period (1993–1998, 1999–2005, and 2006–2014), and recency of mammogram (never had a mammogram, mammogram within past 2 years, and last mammogram more than 2 years ago). Additional variables were also assessed as potential covariates but were not associated with family history of cancer and did not appreciably change the effect estimates: years of education (<12, 12, 13–15, 16, and >16 years), menopausal status and age at menopause (premenopausal; <45, 45–49, 50–54, and ≥55 years), years of use of postmenopausal estrogen together with progesterone (never used; <5, and ≥5 years), age at menarche (<11, 11–12, 13–14, 15–16, and ≥17 years), body mass index (<18.5, 18.5–24.9, 25–29.9, 30–34.9, 35–39.9, and ≥40 kg/m2), years of oral contraceptive use (never used; <1, 1–9, and ≥10 years), parity (nulliparous; 1, 2, 3, and ≥4 births), age at first birth (<25 and ≥25 years), lactation (parous and never breastfed, parous and ever breastfed), pack years of cigarette smoking (never smoked; <20 and ≥20 pack years), and alcohol consumption (never drinker, former drinker, current drinker of <7 drinks/week, and current drinker of ≥7 drinks/week). The missing indicator method was used to handle missing values for covariates. To test for interaction between family history of cancer at different cancer sites, interactions were examined by introducing cross-product terms into the models (34). Analyses were conducted using SAS 9.3 statistical package (SAS Institute Inc). Random effects meta-analyses of study-specific results were conducted using Stata/SE 11.2 statistical software (StataCorp LP), with results tested for heterogeneity by the Cochran Q statistic (35).

The prevalences of first-degree family history of breast cancer and of cancers other than breast cancer were largely similar across studies (Table 1); the differences were statistically significant due to the large sample size. Among controls, 9.3% had a first-degree relative with breast cancer, and 22.7% had a first-degree relative with a cancer other than breast cancer. Few controls had first-degree family history of both breast cancer and another cancer site (2.9%). Lung cancer was the most common other cancer among first-degree relatives (7.7%), followed by prostate (7.6%) and colorectal cancer (6.2%).

Table 1.

Characteristics of cases and controls in the AMBER Consortium, by study

BWHSCBCSMECWCHSTotal
CasesControlsCasesControlsCasesControlsCasesControlsCasesControls
CharacteristicsN (%)N (%)N (%)N (%)N (%)N (%)N (%)N (%)N (%)N (%)
Age, yearsa,b 
 <45 327 (19) 2,549 (24) 236 (29) 216 (27) 0 (0) 0 (0) 267 (25) 307 (25) 830 (18) 3,072 (18) 
 45–55 572 (33) 3,521 (33) 247 (31) 275 (35) 59 (6) 341 (7) 334 (31) 439 (36) 1,212 (26) 4,576 (26) 
 55–64 529 (30) 3,005 (28) 175 (22) 159 (20) 222 (23) 1,131 (24) 335 (31) 375 (31) 1,261 (28) 4,670 (27) 
 ≥65 312 (18) 1,710 (16) 148 (18) 138 (18) 674 (71) 3,188 (68) 149 (14) 100 (8) 1,283 (28) 5,136 (29) 
First-degree family history of breast cancerb 270 (15) 1,008 (9) 132 (16) 88 (11) 140 (15) 385 (8) 184 (17) 141 (12) 726 (16) 1,622 (9) 
First-degree family history of cancers other than breast cancer 
 Prostate cancera,b 180 (10) 799 (7) 45 (6) 59 (8) 93 (10) 365 (8) 143 (13) 107 (9) 461 (10) 1,330 (8) 
 Lung cancerb 154 (9) 857 (8) 66 (8) 59 (8) 90 (9) 340 (7) 109 (10) 93 (8) 419 (9) 1,349 (8) 
 Colorectal cancera,b 119 (7) 608 (6) 48 (6) 45 (6) 76 (8) 363 (8) 71 (7) 69 (6) 314 (7) 1,085 (6) 
 Ovarian cancera,b 62 (4) 331 (3) 18 (2) 16 (2) 26 (3) 182 (4) 22 (2) 31 (3) 128 (3) 559 (3) 
 Lymphoma or leukemiaa,b 22 (1) 88 (1) 32 (4) 17 (2) 22 (2) 87 (2) 28 (3) 33 (3) 103 (2) 224 (1) 
 Cervical cancera,b 6 (0) 25 (0) 20 (3) 18 (2) 10 (1) 28 (1) 19 (2) 19 (2) 55 (1) 90 (1) 
BWHSCBCSMECWCHSTotal
CasesControlsCasesControlsCasesControlsCasesControlsCasesControls
CharacteristicsN (%)N (%)N (%)N (%)N (%)N (%)N (%)N (%)N (%)N (%)
Age, yearsa,b 
 <45 327 (19) 2,549 (24) 236 (29) 216 (27) 0 (0) 0 (0) 267 (25) 307 (25) 830 (18) 3,072 (18) 
 45–55 572 (33) 3,521 (33) 247 (31) 275 (35) 59 (6) 341 (7) 334 (31) 439 (36) 1,212 (26) 4,576 (26) 
 55–64 529 (30) 3,005 (28) 175 (22) 159 (20) 222 (23) 1,131 (24) 335 (31) 375 (31) 1,261 (28) 4,670 (27) 
 ≥65 312 (18) 1,710 (16) 148 (18) 138 (18) 674 (71) 3,188 (68) 149 (14) 100 (8) 1,283 (28) 5,136 (29) 
First-degree family history of breast cancerb 270 (15) 1,008 (9) 132 (16) 88 (11) 140 (15) 385 (8) 184 (17) 141 (12) 726 (16) 1,622 (9) 
First-degree family history of cancers other than breast cancer 
 Prostate cancera,b 180 (10) 799 (7) 45 (6) 59 (8) 93 (10) 365 (8) 143 (13) 107 (9) 461 (10) 1,330 (8) 
 Lung cancerb 154 (9) 857 (8) 66 (8) 59 (8) 90 (9) 340 (7) 109 (10) 93 (8) 419 (9) 1,349 (8) 
 Colorectal cancera,b 119 (7) 608 (6) 48 (6) 45 (6) 76 (8) 363 (8) 71 (7) 69 (6) 314 (7) 1,085 (6) 
 Ovarian cancera,b 62 (4) 331 (3) 18 (2) 16 (2) 26 (3) 182 (4) 22 (2) 31 (3) 128 (3) 559 (3) 
 Lymphoma or leukemiaa,b 22 (1) 88 (1) 32 (4) 17 (2) 22 (2) 87 (2) 28 (3) 33 (3) 103 (2) 224 (1) 
 Cervical cancera,b 6 (0) 25 (0) 20 (3) 18 (2) 10 (1) 28 (1) 19 (2) 19 (2) 55 (1) 90 (1) 

aχ2 test for difference between studies among cases, P < 0.05.

bχ2 test for difference between studies among controls, P < 0.05.

The ORs for a first-degree family history of breast cancer were similar by subtype: ER+ cancer (1.76; 95% CI, 1.57–1.97), ER cancer (1.67; 95% CI, 1.42–1.95), and triple-negative cancer (1.72; 95% CI, 1.38–2.13; Table 2). For each subtype, the ORs were higher if the relative was diagnosed before age 50. For example, for ER cancer, the OR was 1.96 (95% CI, 1.56–2.46) for having a relative diagnosed with breast cancer before age 50 and 1.46 (95% CI, 1.15–1.86) for a relative diagnosed at 50 or older. The ORs were also somewhat higher if the participant herself was diagnosed with breast cancer before age 45: the ORs for the association of having a first-degree relative diagnosed with breast cancer before age 50 with the risk of breast cancer before age 45 were all greater than 3 for ER+, ER, and triple-negative breast cancer.

Table 2.

Family history of breast cancer in relation to the risk of breast cancer, overall and by subtype

Breast cancerER+ERTriple-negative
First-degree family history of breast cancerControls NCases NORa(95% CI)Cases NORa(95% CI)Cases NORa(95% CI)Cases NORa(95% CI)
No 15,798 3,794 1.00 Reference 2,525 1.00 Reference 1,269 1.00 Reference 584 1.00 Reference 
Yes 1,622 726 1.73 (1.56–1.92) 498 1.76 (1.57–1.97) 228 1.67 (1.42–1.95) 112 1.72 (1.38–2.13) 
Number of first-degree relatives 
 1 1,547 690 1.73 (1.56–1.92) 473 1.76 (1.56–1.97) 217 1.66 (1.41–1.95) 106 1.70 (1.36–2.13) 
 ≥2 75 36 1.85 (1.21–2.84) 25 1.86 (1.15–3.01) 11 1.81 (0.93–3.51) 2.02 (0.84–4.89) 
Age of relative at diagnosis 
 <50 years 618 304 2.00 (1.74–2.30) 200 1.95 (1.64–2.33) 104 1.96 (1.56–2.46) 46 1.83 (1.32–2.54) 
 ≥50 years 625 297 1.56 (1.35–1.80) 207 1.64 (1.38–1.95) 90 1.46 (1.15–1.86) 44 1.40 (1.01–1.96) 
 Unknown age 379 125 1.60 (1.31–1.95) 91 1.66 (1.31–2.11) 34 1.54 (1.07–2.21) 22 2.41 (1.54–3.78) 
Among participants age <45 years 
 No 2,861 714 1.00 Reference 406 1.00 Reference 308 1.00 Reference 147 1.00 Reference 
 Yes 211 116 2.02 (1.54–2.65) 67 2.05 (1.49–2.83) 49 1.97 (1.36–2.83) 22 1.75 (1.05–2.93) 
Age of relative at diagnosis 
 <50 years 95 80 3.09 (2.23–4.27) 43 3.45 (2.29–5.21) 37 3.79 (2.43–5.91) 16 3.48 (1.86–6.49) 
 ≥50 years 76 31 1.31 (0.87–1.98) 22 1.32 (0.78–2.25) 0.68 (0.32–1.43) 0.53 (0.18–1.52) 
 Unknown age 40 0.81 (0.36–1.81)       
Among participants age ≥45 years 
 No 12,937 3,080 1.00 Reference 2,119 1.00 Reference 961 1.00 Reference 437 1.00 Reference 
 Yes 1,411 610 1.69 (1.52–1.86) 431 1.71 (1.52–1.94) 179 1.60 (1.35–1.91) 90 1.72 (1.35–2.18) 
Age of relative at diagnosis 
 <50 years 523 224 1.80 (1.53–2.10) 157 1.73 (1.42–2.10) 67 1.59 (1.21–2.09) 30 1.53 (1.03–2.26) 
 ≥50 years 549 266 1.59 (1.37–1.86) 185 1.68 (1.39–2.02) 81 1.63 (1.26–2.10) 40 1.62 (1.14–2.31) 
 Unknown age 339 120 1.68 (1.37–2.06) 89 1.76 (1.38–2.25) 31 1.57 (1.07–2.30) 20 2.38 (1.48–3.81) 
Breast cancerER+ERTriple-negative
First-degree family history of breast cancerControls NCases NORa(95% CI)Cases NORa(95% CI)Cases NORa(95% CI)Cases NORa(95% CI)
No 15,798 3,794 1.00 Reference 2,525 1.00 Reference 1,269 1.00 Reference 584 1.00 Reference 
Yes 1,622 726 1.73 (1.56–1.92) 498 1.76 (1.57–1.97) 228 1.67 (1.42–1.95) 112 1.72 (1.38–2.13) 
Number of first-degree relatives 
 1 1,547 690 1.73 (1.56–1.92) 473 1.76 (1.56–1.97) 217 1.66 (1.41–1.95) 106 1.70 (1.36–2.13) 
 ≥2 75 36 1.85 (1.21–2.84) 25 1.86 (1.15–3.01) 11 1.81 (0.93–3.51) 2.02 (0.84–4.89) 
Age of relative at diagnosis 
 <50 years 618 304 2.00 (1.74–2.30) 200 1.95 (1.64–2.33) 104 1.96 (1.56–2.46) 46 1.83 (1.32–2.54) 
 ≥50 years 625 297 1.56 (1.35–1.80) 207 1.64 (1.38–1.95) 90 1.46 (1.15–1.86) 44 1.40 (1.01–1.96) 
 Unknown age 379 125 1.60 (1.31–1.95) 91 1.66 (1.31–2.11) 34 1.54 (1.07–2.21) 22 2.41 (1.54–3.78) 
Among participants age <45 years 
 No 2,861 714 1.00 Reference 406 1.00 Reference 308 1.00 Reference 147 1.00 Reference 
 Yes 211 116 2.02 (1.54–2.65) 67 2.05 (1.49–2.83) 49 1.97 (1.36–2.83) 22 1.75 (1.05–2.93) 
Age of relative at diagnosis 
 <50 years 95 80 3.09 (2.23–4.27) 43 3.45 (2.29–5.21) 37 3.79 (2.43–5.91) 16 3.48 (1.86–6.49) 
 ≥50 years 76 31 1.31 (0.87–1.98) 22 1.32 (0.78–2.25) 0.68 (0.32–1.43) 0.53 (0.18–1.52) 
 Unknown age 40 0.81 (0.36–1.81)       
Among participants age ≥45 years 
 No 12,937 3,080 1.00 Reference 2,119 1.00 Reference 961 1.00 Reference 437 1.00 Reference 
 Yes 1,411 610 1.69 (1.52–1.86) 431 1.71 (1.52–1.94) 179 1.60 (1.35–1.91) 90 1.72 (1.35–2.18) 
Age of relative at diagnosis 
 <50 years 523 224 1.80 (1.53–2.10) 157 1.73 (1.42–2.10) 67 1.59 (1.21–2.09) 30 1.53 (1.03–2.26) 
 ≥50 years 549 266 1.59 (1.37–1.86) 185 1.68 (1.39–2.02) 81 1.63 (1.26–2.10) 40 1.62 (1.14–2.31) 
 Unknown age 339 120 1.68 (1.37–2.06) 89 1.76 (1.38–2.25) 31 1.57 (1.07–2.30) 20 2.38 (1.48–3.81) 

aMultivariable models adjust for age, study, geographic region, questionnaire time period, and recency of mammogram.

In assessing the relation of family history of other cancers to breast cancer risk, we looked first at the risk of overall breast cancer. A first-degree family history of breast cancer alone (with no other cancers among first-degree relatives) was associated with a 1.58-fold risk (95% CI, 1.38–1.82; Table 3). The ORs for family history of each of the other cancers alone were close to 1, with the exception of cervical cancer, for which the OR for the association with overall breast cancer risk was 1.53 (0.94–2.47). The risk of breast cancer was tripled in women who had a family history of both breast and prostate cancer (OR = 3.02; 95% CI, 2.19–4.16; Pinteraction < 0.01). The OR for a family history of both breast and cervical cancer was 3.56 (95% CI, 0.99–12.85), but this estimate was based on only 7 exposed breast cancer cases. The risk of breast cancer was significantly increased for women with a family history of three or more cancer sites, but only when breast cancer was one of the sites.

Table 3.

Family history of breast cancer and cancer at six other sites in relation to the risk of breast cancer

First-degree family history ofControlsCasesORa(95% CI)
No cancer 9,735 2,374 1.00 Reference 
One cancer site 
 Breast cancer 914 393 1.58 (1.38–1.82) 
 Lung cancer 869 250 1.19 (1.01–1.39) 
 Prostate cancer 863 244 1.16 (0.99–1.36) 
 Colorectal cancer 624 171 1.17 (0.97–1.41) 
 Ovarian cancer 323 61 0.90 (0.68–1.21) 
 Lymphoma or leukemia 137 52 1.25 (0.88–1.78) 
 Cervical cancer 52 34 1.53 (0.94–2.47) 
Two cancer sites 
 Breast/prostate 105 76 3.02 (2.19–4.16) 
 Breast/lung 126 52 1.60 (1.13–2.27) 
 Breast/colorectal 83 32 1.40 (0.89–2.22) 
 Breast/ovarian 51 11 1.21 (0.62–2.37) 
 Breast/lymphoma or leukemia 16 10 1.42 (0.60–3.33) 
 Breast/cervical 3.56 (0.99–12.85) 
 Prostate/colorectal 119 37 1.52 (1.03–2.24) 
 Prostate/lung 73 25 1.54 (0.95–2.50) 
 Prostate/ovarian 28 12 1.95 (0.94–4.02) 
 Prostate/lymphoma or leukemia 17 2.39 (1.02–5.60) 
 Lung/colorectal 91 17 0.91 (0.53–1.55) 
 Colorectal/ovarian 27 10 1.73 (0.81–3.70) 
 2 sites other than breast 88 24 0.94 (0.58–1.54) 
Three or more cancer sites 
 Breast/prostate/lung 17 11 3.05 (1.35–6.89) 
 Breast/lung/colorectal 17 2.60 (1.12–6.03) 
 Breast and 2 other sitesb 74 38 2.39 (1.57–3.64) 
 ≥3 sites other than breast 47 15 1.37 (0.74–2.54) 
First-degree family history ofControlsCasesORa(95% CI)
No cancer 9,735 2,374 1.00 Reference 
One cancer site 
 Breast cancer 914 393 1.58 (1.38–1.82) 
 Lung cancer 869 250 1.19 (1.01–1.39) 
 Prostate cancer 863 244 1.16 (0.99–1.36) 
 Colorectal cancer 624 171 1.17 (0.97–1.41) 
 Ovarian cancer 323 61 0.90 (0.68–1.21) 
 Lymphoma or leukemia 137 52 1.25 (0.88–1.78) 
 Cervical cancer 52 34 1.53 (0.94–2.47) 
Two cancer sites 
 Breast/prostate 105 76 3.02 (2.19–4.16) 
 Breast/lung 126 52 1.60 (1.13–2.27) 
 Breast/colorectal 83 32 1.40 (0.89–2.22) 
 Breast/ovarian 51 11 1.21 (0.62–2.37) 
 Breast/lymphoma or leukemia 16 10 1.42 (0.60–3.33) 
 Breast/cervical 3.56 (0.99–12.85) 
 Prostate/colorectal 119 37 1.52 (1.03–2.24) 
 Prostate/lung 73 25 1.54 (0.95–2.50) 
 Prostate/ovarian 28 12 1.95 (0.94–4.02) 
 Prostate/lymphoma or leukemia 17 2.39 (1.02–5.60) 
 Lung/colorectal 91 17 0.91 (0.53–1.55) 
 Colorectal/ovarian 27 10 1.73 (0.81–3.70) 
 2 sites other than breast 88 24 0.94 (0.58–1.54) 
Three or more cancer sites 
 Breast/prostate/lung 17 11 3.05 (1.35–6.89) 
 Breast/lung/colorectal 17 2.60 (1.12–6.03) 
 Breast and 2 other sitesb 74 38 2.39 (1.57–3.64) 
 ≥3 sites other than breast 47 15 1.37 (0.74–2.54) 

aMultivariable model adjusts for age, study, geographic region, questionnaire time period, and recency of mammogram.

bOther than the listed combinations of cancer sites.

Next, we considered the family history of a cancer diagnosis in relation to the risk of specific breast cancer subtypes. The ORs for first-degree family history of breast cancer alone were similar for ER+, ER, and triple-negative breast cancer (Table 4). A family history of cervical cancer was associated with ER (OR = 2.56; 95% CI, 1.44–4.53) and triple-negative (OR = 3.04; 95% CI, 1.57–5.87) breast cancer, but not with ER+ cancer. A family history of lung cancer was associated with a 20% increase in the risk of ER+ cancer (95% CI, 1.04–1.48), whereas a family history of prostate cancer was associated with a 24% increase in the risk of ER+ cancer (95% CI, 1.00–1.44). There were no significant associations with family history of any of the other sites, although the OR for the association of family history of ovarian cancer with the risk of triple-negative breast cancer was elevated (OR = 1.53; 95% CI, 0.89–2.65). The OR for a family history of both breast and prostate cancer was 3.40 (95% CI, 2.42–4.79) for ER+ cancer, as compared with 1.62 for breast alone (Pinteraction = 0.02), and was 2.09 (95% CI, 1.21–3.63) for ER cancer, as compared with 1.50 for breast alone (Pinteraction = 0.11); for triple-negative breast cancer, the corresponding OR was 1.60, as compared with 1.54 for breast alone (Pinteraction = 0.62). The ORs for breast and lung and for breast and colorectal cancer were also higher, although not significantly higher, than for breast cancer alone for some subtypes. Having a family history of breast cancer and two or more other cancer sites was associated with an increased risk of each subtype, with the ORs ranging from 2.42 for ER+ to 2.78 for ER cancer.

Table 4.

Family history of breast cancer and six other sites in relation to the risk of breast cancer subtypes

ER+ERTriple-negative
ControlsCasesCasesCases
First-degree family history ofNNORa(95% CI)NORa(95% CI)NORa(95% CI)
No cancer 9,735 1,579 1.00 Reference 795 1.00 Reference 393 1.00 Reference 
One cancer site 
 Breast cancer 914 270 1.62 (1.39–1.89) 123 1.50 (1.21–1.86) 65 1.55 (1.17–2.06) 
 Lung cancer 869 173 1.20 (1.00–1.44) 77 1.14 (0.89–1.48) 40 1.20 (0.85–1.69) 
 Prostate cancer 863 179 1.24 (1.04–1.48) 65 0.98 (0.75–1.28) 30 0.92 (0.62–1.35) 
 Colorectal cancer 624 119 1.19 (0.96–1.47) 52 1.12 (0.83–1.52) 21 0.92 (0.58–1.46) 
 Ovarian cancer 323 37 0.79 (0.56–1.13) 24 1.15 (0.74–1.78) 15 1.53 (0.89–2.65) 
 Lymphoma or leukemia 137 34 1.23 (0.83–1.84) 18 1.29 (0.77–2.19) 10 1.37 (0.70–2.70) 
 Cervical cancer 52 13 0.95 (0.50–1.80) 21 2.56 (1.44–4.53) 14 3.04 (1.57–5.87) 
Two cancer sites 
 Breast/prostate 105 60 3.40 (2.42–4.79) 16 2.09 (1.21–3.63) 1.60 (0.69–3.74) 
 Breast/lung 126 31 1.37 (0.91–2.08) 21 2.11 (1.29–3.46) 16 3.32 (1.89–5.84) 
 Breast/colorectal 83 26 1.67 (1.03–2.71) 0.80 (0.33–1.92) 0.74 (0.22–2.45) 
 Breast/ovarian 51 1.43 (0.69–2.96) 0.70 (0.17–2.93) 0.79 (0.11–5.82) 
 Prostate/colorectal 119 29 1.64 (1.07–2.51) 1.19 (0.57–2.46) 1.70 (0.68–4.26) 
 Prostate/lung 73 19 1.61 (0.95–2.74) 1.34 (0.57–3.15) 1.89 (0.67–5.30) 
 Lung/colorectal 91 11 0.80 (0.42–1.52) 1.20 (0.52–2.80) 0.85 (0.21–3.53) 
 2 other sitesb 181 47 1.41 (1.00–1.98) 25 1.55 (0.99–2.43) 10 1.19 (0.61–2.33) 
Three or more cancer sites 
 Breast/≥2 sites other than breast 108 40 2.42 (1.65–3.56) 18 2.78 (1.65–4.68) 2.65 (1.26–5.60) 
 ≥3 sites other than breast 47 1.04 (0.48–2.26) 2.23 (0.97–5.12) 1.39 (0.33–5.92) 
ER+ERTriple-negative
ControlsCasesCasesCases
First-degree family history ofNNORa(95% CI)NORa(95% CI)NORa(95% CI)
No cancer 9,735 1,579 1.00 Reference 795 1.00 Reference 393 1.00 Reference 
One cancer site 
 Breast cancer 914 270 1.62 (1.39–1.89) 123 1.50 (1.21–1.86) 65 1.55 (1.17–2.06) 
 Lung cancer 869 173 1.20 (1.00–1.44) 77 1.14 (0.89–1.48) 40 1.20 (0.85–1.69) 
 Prostate cancer 863 179 1.24 (1.04–1.48) 65 0.98 (0.75–1.28) 30 0.92 (0.62–1.35) 
 Colorectal cancer 624 119 1.19 (0.96–1.47) 52 1.12 (0.83–1.52) 21 0.92 (0.58–1.46) 
 Ovarian cancer 323 37 0.79 (0.56–1.13) 24 1.15 (0.74–1.78) 15 1.53 (0.89–2.65) 
 Lymphoma or leukemia 137 34 1.23 (0.83–1.84) 18 1.29 (0.77–2.19) 10 1.37 (0.70–2.70) 
 Cervical cancer 52 13 0.95 (0.50–1.80) 21 2.56 (1.44–4.53) 14 3.04 (1.57–5.87) 
Two cancer sites 
 Breast/prostate 105 60 3.40 (2.42–4.79) 16 2.09 (1.21–3.63) 1.60 (0.69–3.74) 
 Breast/lung 126 31 1.37 (0.91–2.08) 21 2.11 (1.29–3.46) 16 3.32 (1.89–5.84) 
 Breast/colorectal 83 26 1.67 (1.03–2.71) 0.80 (0.33–1.92) 0.74 (0.22–2.45) 
 Breast/ovarian 51 1.43 (0.69–2.96) 0.70 (0.17–2.93) 0.79 (0.11–5.82) 
 Prostate/colorectal 119 29 1.64 (1.07–2.51) 1.19 (0.57–2.46) 1.70 (0.68–4.26) 
 Prostate/lung 73 19 1.61 (0.95–2.74) 1.34 (0.57–3.15) 1.89 (0.67–5.30) 
 Lung/colorectal 91 11 0.80 (0.42–1.52) 1.20 (0.52–2.80) 0.85 (0.21–3.53) 
 2 other sitesb 181 47 1.41 (1.00–1.98) 25 1.55 (0.99–2.43) 10 1.19 (0.61–2.33) 
Three or more cancer sites 
 Breast/≥2 sites other than breast 108 40 2.42 (1.65–3.56) 18 2.78 (1.65–4.68) 2.65 (1.26–5.60) 
 ≥3 sites other than breast 47 1.04 (0.48–2.26) 2.23 (0.97–5.12) 1.39 (0.33–5.92) 

aMultivariable models adjust for age, study, geographic region, questionnaire time period, and recency of mammogram.

bOther than the listed combinations of cancer sites.

The results were similar across the four studies. For example, the ORs for first-degree family history of breast cancer in relation to breast cancer risk were 1.74 (95% CI, 1.51–2.02) in BWHS, 1.59 (95% CI, 1.19–2.14) in CBCS, 1.88 (95% CI, 1.50–2.35) in MEC, and 1.55 (95% CI, 1.22–1.97) in WCHS (Pheterogeneity = 0.65). To assess the possibility of recall bias, we examined the associations separately in the case–control and cohort studies. The ORs for first-degree family history of breast cancer in relation to the risk of breast cancer were 1.57 (95% CI, 1.31–1.90) in the case–control studies and 1.80 (95% CI, 1.60–2.03) in the cohort studies (Pheterogeneity = 0.23).

This large study provides convincing evidence that first-degree family history of breast cancer is associated with ER+, ER, and triple-negative breast cancer in African American women and that having a relative diagnosed with breast cancer at a young age is a strong predictor of risk. Having a history of breast cancer together with prostate cancer was associated with a further increase in the risk of each subtype. Family history of ovarian cancer was not associated with an increased risk of ER+ or ER cancer, but there was some evidence of a positive association with triple-negative breast cancer. In addition, we observed an unexpected association of family history of cervical cancer with an increased risk of ER breast cancer.

Previous studies with data on African American women have also shown family history of breast cancer to be a strong risk factor for breast cancer (2, 3, 16, 36–39). Only the BWHS and the Women's CARE study also considered the age of the relative at diagnosis, and both observed a greater risk of breast cancer when the relative was diagnosed at a younger age (2, 3). In the only study to present data in African American women by subtype, the BWHS, a similar increase was observed across subtypes (3).

Findings according to the subtype from other populations have been mixed. The association with family history of breast cancer has been similar across breast cancer subtypes (3, 6–11, 40), stronger for ER+ breast cancer (12, 41), and stronger for ER or triple-negative breast cancer (13, 14, 42). The strongest evidence comes from a pooled analysis of 12 studies in the Breast Cancer Association Consortium, where an association with family history of breast cancer was present across subtypes, but with a stronger association for basal-like breast cancer (40).

Only a few studies of African Americans have examined the relation of family history of cancers other than breast cancer to the risk of breast cancer (3, 16). In the BWHS, a family history of colon cancer was associated with an increased risk of breast cancer, with a relative risk estimate of 1.35, but the study did not consider whether participants also had a family history of breast cancer (3). In the Women's Health Initiative, having a family history of both breast and prostate cancers was associated with a 2.34-fold increase in the risk of breast cancer (16). Neither of these studies presented data by breast cancer subtype. Limited data by subtype are available from other populations. In a predominantly European American population from the Iowa Women's Health Study, a family history of prostate cancer was associated with an increased risk of both ER+/PR+ and ER/PR breast cancer (43). A family history of lung cancer was associated with increased risk of hormone receptor–positive breast cancer in a case–control study in China (44). No previous study has reported an association of family history of cervical cancer with an increased risk of breast cancer.

Associations with family history of cancer could be explained in part by environmental or genetic factors shared within families. A family may have similar reproductive habits (45–47), dietary patterns (48), physical activity (49, 50), or body size (51, 52), each of which influences the risk of various cancers (53). Although knowledge of a family history of cancer influences cancer screening, individuals with a family history of cancer do not differ in lifestyle from individuals without knowledge of a family history (54–56). Genetics play a role in breast cancer etiology (57, 58). Heritable mutations in BRCA1 or BRCA2 genes are associated with an increased risk of both breast cancer and ovarian cancer (59, 60). Germline mutations in the BRCA1 and BRCA2 genes have also been associated with an increased risk of prostate and colorectal cancers (59–61), whereas germline mutations in the CHEK2 gene increase risk of breast, prostate, and colon cancers (62).

Our observation of a strong increase in risk among participants with a family history of both breast and prostate cancer may relate to recent genetic findings. A family history of prostate cancer has been associated with mutation in the RNASEL gene in African Americans (63). Mutations in this gene have also been associated with the risk of breast and cervical cancers (64). A potential mechanism linking the RNASEL gene and ER breast cancer is inflammation. Inflammatory markers have been elevated in studies of hormone-negative cancers (65–67). RNASEL variants have been associated with elevated inflammatory biomarkers (68), and the enzyme encoded by the RNASEL gene has proinflammatory functions (69).

Analyses of data from The Cancer Genome Atlas and other genomic data suggest that there are etiologic links between ovarian cancer and basal-like breast cancer (70–73), which is primarily composed of triple-negative tumors. Consistent with those data, we observed a nonsignificant 53% increase in the risk of triple-negative breast cancer associated with a first-degree family history of ovarian cancer. Genomic analyses also suggest that there are biologic similarities between basal-like breast cancer and lung cancer (72, 73). In our data, the risk of triple-negative breast cancer was significantly increased for a first-degree family history of lung cancer only in the presence of a first-degree family history of breast cancer.

African American women experience a higher prevalence of early-onset breast cancer and of ER breast cancer compared with European American women (74–76). Because of the large sample size, we were able to informatively assess breast cancer risk by age and for breast cancer subtypes. We were also able to assess family history of cancers other than breast cancer. We controlled for multiple potential confounding factors. The self-report of family history of participants may have been incomplete and could have been subject to recall bias in the case–control studies. However, previous validation studies have shown that self-reported family cancer histories for first-degree relatives are accurate for breast cancer (77), and the results were similar across our studies, which included cohort studies in which family history data were provided before the participant was diagnosed with breast cancer. In addition, the prevalence of family history of breast cancer among controls in the AMBER Consortium (9.3%) was similar to the prevalence in other studies (78, 79). We did not have data on all cancer sites that may be of interest, such as the endometrium and pancreas.

In summary, the present findings suggest that family history of cancers other than the breast cancer may indicate a higher inherited genetic susceptibility to breast cancer. Women who had both breast and prostate cancer–affected family members had a particularly high risk of both ER+ and ER breast cancer. Greater surveillance and counseling for additional screening may be warranted.

No potential conflicts of interest were disclosed.

The results do not necessarily represent the views of or an official position held by the sponsors.

Conception and design: T.N. Bethea, L. Rosenberg, J.R. Palmer

Development of methodology: T.N. Bethea, L. Rosenberg, J.R. Palmer

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): L. Rosenberg, E.V. Bandera, C.B. Ambrosone, J.R. Palmer

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): T.N. Bethea, L. Rosenberg, N. Castro-Webb, K.L. Lunetta, L.E. Sucheston-Campbell, E.A. Ruiz-Narváez, M.A. Troester, C.B. Ambrosone, J.R. Palmer

Writing, review, and/or revision of the manuscript: T.N. Bethea, L. Rosenberg, K.L. Lunetta, L.E. Sucheston-Campbell, E.A. Ruiz-Narváez, M. Charlot, S.-Y. Park, E.V. Bandera, M.A. Troester, C.B. Ambrosone, J.R. Palmer

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): T.N. Bethea, N. Castro-Webb, M. Charlot

Study supervision: K.L. Lunetta, J.R. Palmer

The authors thank the participants and staff of the contributing studies. Data on breast cancer pathology were obtained from several state cancer registries (AZ, CA, CO, CT, DE, DC, FL, GA, IL, IN, KY, LA, MD, MA, MI, NJ, NY, NC, OK, PA, SC, TN, TX, and VA).

The AMBER Consortium was supported by grant P01CA151135 from the NCI (to all authors). Financial support to the collaborating studies was provided by the NCI through grants R01CA058420 (to L. Rosenberg and J.R. Palmer), UM1CA164974 (to L. Rosenberg, J.R. Palmer, E.A. Ruiz-Narváez, T.N. Bethea, and M. Charlot), P50CA58223 (to M.A. Troester), R37CA054281 (to S.-Y. Park), U01CA164973 (to S.-Y. Park), and R01CA100598 (to C. Ambrosone, E.V. Bandera, and L.E. Sucheston-Campbell) and by the University Cancer Research Fund of North Carolina (to M.A. Troester).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Collaborative Group on Hormonal Factors in Breast C
. 
Familial breast cancer: collaborative reanalysis of individual data from 52 epidemiological studies including 58,209 women with breast cancer and 101,986 women without the disease
.
Lancet
2001
;
358
:
1389
99
.
2.
Simon
MS
,
Korczak
JF
,
Yee
CL
,
Daling
JR
,
Malone
KE
,
Bernstein
L
, et al
Racial differences in the familial aggregation of breast cancer and other female cancers
.
Breast Cancer Res Treat
2005
;
89
:
227
35
.
3.
Palmer
JR
,
Boggs
DA
,
Adams-Campbell
LL
,
Rosenberg
L
. 
Family history of cancer and risk of breast cancer in the Black Women's Health Study
.
Cancer Causes Control
2009
;
20
:
1733
7
.
4.
Colditz
GA
,
Kaphingst
KA
,
Hankinson
SE
,
Rosner
B
. 
Family history and risk of breast cancer: nurses' health study
.
Breast Cancer Res Treat
2012
;
133
:
1097
104
.
5.
Egan
KM
,
Stampfer
MJ
,
Rosner
BA
,
Trichopoulos
D
,
Newcomb
PA
,
Trentham-Dietz
A
, et al
Risk factors for breast cancer in women with a breast cancer family history
.
Cancer Epidemiol Biomarkers Prev
1998
;
7
:
359
64
.
6.
Mavaddat
N
,
Pharoah
PD
,
Blows
F
,
Driver
KE
,
Provenzano
E
,
Thompson
D
, et al
Familial relative risks for breast cancer by pathological subtype: a population-based cohort study
.
Breast Cancer Res
2010
;
12
:
R10
.
7.
Song
Q
,
Huang
R
,
Li
J
,
Fan
J
,
Zheng
S
,
Zhang
B
, et al
The diverse distribution of risk factors between breast cancer subtypes of ER, PR and HER2: a 10-year retrospective multi-center study in China
.
PLoS One
2013
;
8
:
e72175
.
8.
Setiawan
VW
,
Monroe
KR
,
Wilkens
LR
,
Kolonel
LN
,
Pike
MC
,
Henderson
BE
. 
Breast cancer risk factors defined by estrogen and progesterone receptor status: the multiethnic cohort study
.
Am J Epidemiol
2009
;
169
:
1251
9
.
9.
Tazzite
A
,
Jouhadi
H
,
Saiss
K
,
Benider
A
,
Nadifi
S
. 
Relationship between family history of breast cancer and clinicopathological features in Moroccan patients
.
Ethiop J Health Sci
2013
;
23
:
150
7
.
10.
Phipps
AI
,
Buist
DS
,
Malone
KE
,
Barlow
WE
,
Porter
PL
,
Kerlikowske
K
, et al
Family history of breast cancer in first-degree relatives and triple-negative breast cancer risk
.
Breast Cancer Res Treat
2011
;
126
:
671
8
.
11.
Malone
KE
,
Daling
JR
,
Doody
DR
,
O'Brien
C
,
Resler
A
,
Ostrander
EA
, et al
Family history of breast cancer in relation to tumor characteristics and mortality in a population-based study of young women with invasive breast cancer
.
Cancer Epidemiol Biomarkers Prev
2011
;
20
:
2560
71
.
12.
Welsh
ML
,
Buist
DS
,
Aiello Bowles
EJ
,
Anderson
ML
,
Elmore
JG
,
Li
CI
. 
Population-based estimates of the relation between breast cancer risk, tumor subtype, and family history
.
Breast Cancer Res Treat
2009
;
114
:
549
58
.
13.
Zhou
W
,
Pan
H
,
Liang
M
,
Xia
K
,
Liang
X
,
Xue
J
, et al
Family history and risk of ductal carcinoma in situ and triple negative breast cancer in a Han Chinese population: a case-control study
.
World J Surg Oncol
2013
;
11
:
248
.
14.
Jiang
X
,
Castelao
JE
,
Chavez-Uribe
E
,
Fernandez Rodriguez
B
,
Celeiro Munoz
C
,
Redondo
CM
, et al
Family history and breast cancer hormone receptor status in a Spanish cohort
.
PLoS One
2012
;
7
:
e29459
.
15.
Sellers
TA
,
Potter
JD
,
Rich
SS
,
Drinkard
CR
,
Bostick
RM
,
Kushi
LH
, et al
Familial clustering of breast and prostate cancers and risk of postmenopausal breast cancer
.
J Natl Cancer Inst
1994
;
86
:
1860
5
.
16.
Beebe-Dimmer
JL
,
Yee
C
,
Cote
ML
,
Petrucelli
N
,
Palmer
N
,
Bock
C
, et al
Familial clustering of breast and prostate cancer and risk of postmenopausal breast cancer in the Women's Health Initiative Study
.
Cancer
2015
;
121
:
1265
72
.
17.
Schwartz
AG
,
Rothrock
M
,
Yang
P
,
Swanson
GM
. 
Increased cancer risk among relatives of nonsmoking lung cancer cases
.
Genet Epidemiol
1999
;
17
:
1
15
.
18.
Jishi
MF
,
Itnyre
JH
,
Oakley-Girvan
IA
,
Piver
MS
,
Whittemore
AS
. 
Risks of cancer among members of families in the Gilda Radner Familial Ovarian Cancer Registry
.
Cancer
1995
;
76
:
1416
21
.
19.
Sellers
TA
,
Gapstur
SM
,
Potter
JD
,
Kushi
LH
,
Bostick
RM
,
Folsom
AR
. 
Association of body fat distribution and family histories of breast and ovarian cancer with risk of postmenopausal breast cancer
.
Am J Epidemiol
1993
;
138
:
799
803
.
20.
Lindor
NM
,
McMaster
ML
,
Lindor
CJ
,
Greene
MH
,
National Cancer Institute Division of Cancer Prevention Community Oncology, Prevention Trials Research Group
. 
Concise handbook of familial cancer susceptibility syndromes - second edition
.
J Natl Cancer Inst Monogr
2008
:
1
93
.
21.
Foulkes
WD
,
Bolduc
N
,
Lambert
D
,
Ginsburg
O
,
Olien
L
,
Yandell
DW
, et al
Increased incidence of cancer in first degree relatives of women with double primary carcinomas of the breast and colon
.
J Med Genet
1996
;
33
:
534
9
.
22.
Planck
M
,
Anderson
H
,
Bladstrom
A
,
Moller
T
,
Wenngren
E
,
Olsson
H
. 
Increased cancer risk in offspring of women with colorectal carcinoma: a Swedish register-based cohort study
.
Cancer
2000
;
89
:
741
9
.
23.
Naff
JL
,
Cote
ML
,
Wenzlaff
AS
,
Schwartz
AG
. 
Racial differences in cancer risk among relatives of patients with early onset lung cancer
.
Chest
2007
;
131
:
1289
94
.
24.
Palmer
JR
,
Ambrosone
CB
,
Olshan
AF
. 
A collaborative study of the etiology of breast cancer subtypes in African American women: the AMBER consortium
.
Cancer Causes Control
2014
;
25
:
309
19
.
25.
Rosenberg
L
,
Adams-Campbell
L
,
Palmer
JR
. 
The Black Women's Health Study: a follow-up study for causes and preventions of illness
.
J Am Med Womens Assoc
1995
;
50
:
56
8
.
26.
Kolonel
LN
,
Henderson
BE
,
Hankin
JH
,
Nomura
AM
,
Wilkens
LR
,
Pike
MC
, et al
A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics
.
Am J Epidemiol
2000
;
151
:
346
57
.
27.
Millikan
RC
,
Newman
B
,
Tse
CK
,
Moorman
PG
,
Conway
K
,
Dressler
LG
, et al
Epidemiology of basal-like breast cancer
.
Breast Cancer Res Treat
2008
;
109
:
123
39
.
28.
Ambrosone
CB
,
Ciupak
GL
,
Bandera
EV
,
Jandorf
L
,
Bovbjerg
DH
,
Zirpoli
G
, et al
Conducting Molecular Epidemiological Research in the Age of HIPAA: A Multi-Institutional Case-Control Study of Breast Cancer in African-American and European-American Women
.
J Oncol
2009
;
2009
:
871250
.
29.
Bandera
EV
,
Chandran
U
,
Zirpoli
G
,
McCann
SE
,
Ciupak
G
,
Ambrosone
CB
. 
Rethinking sources of representative controls for the conduct of case-control studies in minority populations
.
BMC Med Res Methodol
2013
;
13
:
71
.
30.
Palmer
JR
,
Viscidi
E
,
Troester
MA
,
Hong
CC
,
Schedin
P
,
Bethea
TN
, et al
Parity, lactation, and breast cancer subtypes in African American women: results from the AMBER Consortium
.
J Natl Cancer Inst
2014
;
106
:
1
8
.
31.
Bethea
TN
,
Rosenberg
L
,
Hong
CC
,
Troester
MA
,
Lunetta
KL
,
Bandera
EV
, et al
A case-control analysis of oral contraceptive use and breast cancer subtypes in the African American Breast Cancer Epidemiology and Risk Consortium
.
Breast Cancer Res
2015
;
17
:
22
.
32.
Bandera
EV
,
Chandran
U
,
Hong
CC
,
Troester
MA
,
Bethea
TN
,
Adams-Campbell
LL
, et al
Obesity, body fat distribution, and risk of breast cancer subtypes in African American women participating in the AMBER Consortium
.
Breast Cancer Res Treat
2015
;
150
:
655
66
.
33.
Ambrosone
CB
,
Zirpoli
G
,
Hong
CC
,
Yao
S
,
Troester
MA
,
Bandera
EV
, et al
Important role of menarche in development of estrogen receptor-negative breast cancer in African American Women
.
J Natl Cancer Inst
2015
;
107
:
1
7
.
34.
Jewell
NP
. 
Statistics for epidemiology
.
Boca Raton, FL
:
Chapman & Hall/CRC
; 
2004
.
35.
Higgins
JP
,
Thompson
SG
. 
Quantifying heterogeneity in a meta-analysis
.
Stat Med
2002
;
21
:
1539
58
.
36.
Schatzkin
A
,
Palmer
JR
,
Rosenberg
L
,
Helmrich
SP
,
Miller
DR
,
Kaufman
DW
, et al
Risk factors for breast cancer in black women
.
J Natl Cancer Inst
1987
;
78
:
213
7
.
37.
Amos
CI
,
Goldstein
AM
,
Harris
EL
. 
Familiality of breast cancer and socioeconomic status in blacks
.
Cancer Res
1991
;
51
:
1793
7
.
38.
Chaudru
V
,
Laing
A
,
Dunston
GM
,
Adams-Campbell
LL
,
Williams
R
,
Lynch
JJ
, et al
Interactions between genetic and reproductive factors in breast cancer risk in a population-based sample of African-American families
.
Genet Epidemiol
2002
;
22
:
285
97
.
39.
Mayberry
RM
,
Stoddard-Wright
C
. 
Breast cancer risk factors among black women and white women: similarities and differences
.
Am J Epidemiol
1992
;
136
:
1445
56
.
40.
Yang
XR
,
Chang-Claude
J
,
Goode
EL
,
Couch
FJ
,
Nevanlinna
H
,
Milne
RL
, et al
Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies
.
J Natl Cancer Inst
2011
;
103
:
250
63
.
41.
Gaudet
MM
,
Press
MF
,
Haile
RW
,
Lynch
CF
,
Glaser
SL
,
Schildkraut
J
, et al
Risk factors by molecular subtypes of breast cancer across a population-based study of women 56 years or younger
.
Breast Cancer Res Treat
2011
;
130
:
587
97
.
42.
Anderson
K
,
Thompson
PA
,
Wertheim
BC
,
Martin
L
,
Komenaka
IK
,
Bondy
M
, et al
Family history of breast and ovarian cancer and triple negative subtype in hispanic/latina women
.
Springerplus
2014
;
3
:
727
.
43.
Tutera
AM
,
Sellers
TA
,
Potter
JD
,
Drinkard
CR
,
Wiesner
GL
,
Folsom
AR
. 
Association between family history of cancer and breast cancer defined by estrogen and progesterone receptor status
.
Genet Epidemiol
1996
;
13
:
207
21
.
44.
Zhou
W
,
Ding
Q
,
Pan
H
,
Wu
N
,
Liang
M
,
Huang
Y
, et al
Risk of breast cancer and family history of other cancers in first-degree relatives in Chinese women: a case control study
.
BMC Cancer
2014
;
14
:
662
.
45.
Hardy
JB
,
Astone
NM
,
Brooks-Gunn
J
,
Shapiro
S
,
Miller
TL
. 
Like mother, like child: intergenerational patterns of age at first birth and associations with childhood and adolescent characteristics and adult outcomes in the second generation
.
Dev Psychol
1998
;
34
:
1220
32
.
46.
Kolk
M
,
Cownden
D
,
Enquist
M
. 
Correlations in fertility across generations: can low fertility persist?
Proc Biol Sci
2014
;
281
:
20132561
.
47.
Kim
K
. 
Intergenerational transmission of age at first birth in the United States: evidence from multiple surveys
.
Popul Res Policy Rev
2014
;
33
:
649
71
.
48.
Vachon
CM
,
Sellers
TA
,
Kushi
LH
,
Folsom
AR
. 
Familial correlation of dietary intakes among postmenopausal women
.
Genet Epidemiol
1998
;
15
:
553
63
.
49.
Simonen
RL
,
Perusse
L
,
Rankinen
T
,
Rice
T
,
Rao
DC
,
Bouchard
C
. 
Familial aggregation of physical activity levels in the Quebec Family Study
.
Med Sci Sports Exerc
2002
;
34
:
1137
42
.
50.
Aarnio
M
,
Winter
T
,
Kujala
UM
,
Kaprio
J
. 
Familial aggregation of leisure-time physical activity – a three generation study
.
Int J Sports Med
1997
;
18
:
549
56
.
51.
Maes
HH
,
Neale
MC
,
Eaves
LJ
. 
Genetic and environmental factors in relative body weight and human adiposity
.
Behav Genet
1997
;
27
:
325
51
.
52.
Rotimi
C
,
Cooper
R
. 
Familial resemblance for anthropometric measurements and relative fat distribution among African Americans
.
Int J Obes Relat Metab Disord
1995
;
19
:
875
80
.
53.
Schottenfeld
D
,
Fraumeni
JF
,
editors
. 
Cancer Epidemiology and Prevention
.
New York, NY
:
Oxford University Press, Inc.
; 
2006
.
54.
Madlensky
L
,
Vierkant
RA
,
Vachon
CM
,
Pankratz
VS
,
Cerhan
JR
,
Vadaparampil
ST
, et al
Preventive health behaviors and familial breast cancer
.
Cancer Epidemiol Biomarkers Prev
2005
;
14
:
2340
5
.
55.
Bostean
G
,
Crespi
CM
,
McCarthy
WJ
. 
Associations among family history of cancer, cancer screening and lifestyle behaviors: a population-based study
.
Cancer Causes Control
2013
;
24
:
1491
503
.
56.
Townsend
JS
,
Steele
CB
,
Richardson
LC
,
Stewart
SL
. 
Health behaviors and cancer screening among Californians with a family history of cancer
.
Genet Med
2013
;
15
:
212
21
.
57.
Apostolou
P
,
Fostira
F
. 
Hereditary breast cancer: the era of new susceptibility genes
.
Biomed Res Int
2013
;
2013
:
747318
.
58.
Brewster
AM
,
Chavez-MacGregor
M
,
Brown
P
. 
Epidemiology, biology, and treatment of triple-negative breast cancer in women of African ancestry
.
Lancet Oncol
2014
;
15
:
e625
34
.
59.
Ford
D
,
Easton
DF
,
Bishop
DT
,
Narod
SA
,
Goldgar
DE
. 
Risks of cancer in BRCA1-mutation carriers. Breast Cancer Linkage Consortium
.
Lancet
1994
;
343
:
692
5
.
60.
Struewing
JP
,
Hartge
P
,
Wacholder
S
,
Baker
SM
,
Berlin
M
,
McAdams
M
, et al
The risk of cancer associated with specific mutations of BRCA1 and BRCA2 among Ashkenazi Jews
.
N Engl J Med
1997
;
336
:
1401
8
.
61.
Breast Cancer Linkage C
. 
Cancer risks in BRCA2 mutation carriers
.
J Natl Cancer Inst
1999
;
91
:
1310
6
.
62.
Cybulski
C
,
Gorski
B
,
Huzarski
T
,
Masojc
B
,
Mierzejewski
M
,
Debniak
T
, et al
CHEK2 is a multiorgan cancer susceptibility gene
.
Am J Hum Genet
2004
;
75
:
1131
5
.
63.
Rennert
H
,
Zeigler-Johnson
CM
,
Addya
K
,
Finley
MJ
,
Walker
AH
,
Spangler
E
, et al
Association of susceptibility alleles in ELAC2/HPC2, RNASEL/HPC1, and MSR1 with prostate cancer severity in European American and African American men
.
Cancer Epidemiol Biomarkers Prev
2005
;
14
:
949
57
.
64.
Madsen
BE
,
Ramos
EM
,
Boulard
M
,
Duda
K
,
Overgaard
J
,
Nordsmark
M
, et al
Germline mutation in RNASEL predicts increased risk of head and neck, uterine cervix and breast cancer
.
PLoS One
2008
;
3
:
e2492
.
65.
Gwak
JM
,
Jang
MH
,
Kim
DI
,
Seo
AN
,
Park
SY
. 
Prognostic value of tumor-associated macrophages according to histologic locations and hormone receptor status in breast cancer
.
PLoS One
2015
;
10
:
e0125728
.
66.
Campbell
MJ
,
Tonlaar
NY
,
Garwood
ER
,
Huo
D
,
Moore
DH
,
Khramtsov
AI
, et al
Proliferating macrophages associated with high grade, hormone receptor negative breast cancer and poor clinical outcome
.
Breast Cancer Res Treat
2011
;
128
:
703
11
.
67.
Chavey
C
,
Bibeau
F
,
Gourgou-Bourgade
S
,
Burlinchon
S
,
Boissiere
F
,
Laune
D
, et al
Oestrogen receptor negative breast cancers exhibit high cytokine content
.
Breast Cancer Res
2007
;
9
:
R15
.
68.
Meyer
MS
,
Penney
KL
,
Stark
JR
,
Schumacher
FR
,
Sesso
HD
,
Loda
M
, et al
Genetic variation in RNASEL associated with prostate cancer risk and progression
.
Carcinogenesis
2010
;
31
:
1597
603
.
69.
Ezelle
HJ
,
Hassel
BA
. 
Pathologic effects of RNase-L dysregulation in immunity and proliferative control
.
Front Biosci
2012
;
4
:
767
86
.
70.
Cancer Genome Atlas Network
. 
Comprehensive molecular portraits of human breast tumours
.
Nature
2012
;
490
:
61
70
.
71.
Iglesia
MD
,
Vincent
BG
,
Parker
JS
,
Hoadley
KA
,
Carey
LA
,
Perou
CM
, et al
Prognostic B-cell signatures using mRNA-Seq in patients with subtype-specific breast and ovarian cancer
.
Clin Cancer Res
2014
;
20
:
3818
29
.
72.
Hoadley
KA
,
Yau
C
,
Wolf
DM
,
Cherniack
AD
,
Tamborero
D
,
Ng
S
, et al
Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin
.
Cell
2014
;
158
:
929
44
.
73.
Prat
A
,
Adamo
B
,
Fan
C
,
Peg
V
,
Vidal
M
,
Galvan
P
, et al
Genomic analyses across six cancer types identify basal-like breast cancer as a unique molecular entity
.
Sci Rep
2013
;
3
:
3544
.
74.
Clarke
CA
,
Keegan
TH
,
Yang
J
,
Press
DJ
,
Kurian
AW
,
Patel
AH
, et al
Age-specific incidence of breast cancer subtypes: understanding the black-white crossover
.
J Natl Cancer Inst
2012
;
104
:
1094
101
.
75.
Kurian
AW
,
Fish
K
,
Shema
SJ
,
Clarke
CA
. 
Lifetime risks of specific breast cancer subtypes among women in four racial/ethnic groups
.
Breast Cancer Res
2010
;
12
:
R99
.
76.
Howlader
N
,
Altekruse
SF
,
Li
CI
,
Chen
VW
,
Clarke
CA
,
Ries
LA
, et al
US incidence of breast cancer subtypes defined by joint hormone receptor and HER2 status
.
J Natl Cancer Inst
2014
;
106
:
1
8
.
77.
Murff
HJ
,
Spigel
DR
,
Syngal
S
. 
Does this patient have a family history of cancer? An evidence-based analysis of the accuracy of family cancer history
.
JAMA
2004
;
292
:
1480
9
.
78.
Mai
PL
,
Wideroff
L
,
Greene
MH
,
Graubard
BI
. 
Prevalence of family history of breast, colorectal, prostate, and lung cancer in a population-based study
.
Public Health Genomics
2010
;
13
:
495
503
.
79.
Pinsky
PF
,
Kramer
BS
,
Reding
D
,
Buys
S
,
Team
PP
. 
Reported family history of cancer in the prostate, lung, colorectal, and ovarian cancer screening trial
.
Am J Epidemiol
2003
;
157
:
792
9
.