Polygenic risk scores for prediction of breast cancer risk in women of African ancestry: a cross-ancestry approach.

Polygenic risk scores (PRSs) are useful for predicting breast cancer risk, but the prediction accuracy of existing PRSs in women of African ancestry (AA) remains relatively low. We aim to develop optimal PRSs for the prediction of overall and estrogen receptor (ER) subtype-specific breast cancer risk in AA women. The AA dataset comprised 9235 cases and 10 184 controls from four genome-wide association study (GWAS) consortia and a GWAS study in Ghana. We randomly divided samples into training and validation sets. We built PRSs using individual-level AA data by a forward stepwise logistic regression and then developed joint PRSs that combined (1) the PRSs built in the AA training dataset and (2) a 313-variant PRS previously developed in women of European ancestry. PRSs were evaluated in the AA validation set. For overall breast cancer, the odds ratio per standard deviation of the joint PRS in the validation set was 1.34 [95% confidence interval (CI): 1.27-1.42] with the area under receiver operating characteristic curve (AUC) of 0.581. Compared with women with average risk (40th-60th PRS percentile), women in the top decile of the PRS had a 1.98-fold increased risk (95% CI: 1.63-2.39). For PRSs of ER-positive and ER-negative breast cancer, the AUCs were 0.608 and 0.576, respectively. Compared with existing methods, the proposed joint PRSs can improve prediction of breast cancer risk in AA women.

Validity of self-reported breast cancer characteristics in a nationwide cohort of women with a family history of breast cancer.

BACKGROUND: Women may have incomplete understanding of a breast cancer diagnosis, leading to inaccurate reporting in epidemiological studies. However, it is not feasible to obtain consent for medical records from all women participating in a study. Therefore, it is important to determine how well self-reported breast cancer characteristics correspond with what is found in medical records, but few studies have evaluated agreement of self-reported breast cancer characteristics with abstracted medical records. METHODS: We calculated the positive predictive value (PPV) of self-reports compared to medical records and explored whether participant characteristics may have influenced reporting accuracy. We analyzed data from 2518 reported breast cancer cases from the Sister Study, a large nationwide cohort of women with a family history of breast cancer. RESULTS: Medical records or pathology reports were obtained for 2066 of 2518 (82%) women who reported incident breast cancer. Breast cancer was confirmed for over 99% (n = 2054) of women with medical records. Confirmation rates were high for invasive, ductal, hormone receptor positive, and HER2 negative breast cancers, with little variation by race/ethnicity or age. Self-reported in situ breast cancer had a lower PPV (64.2%), with medical records showing invasive breast cancer instead, especially for older and Hispanic women. Hormone receptor (ER and PR) negative and HER2 positive self-reports had lower PPVs (83.0%, 71.6%, and 66.1% respectively). Hispanic women and women ages 65 or older at diagnosis were less able to accurately report breast cancer stage, excluding stage I. CONCLUSIONS: Accuracy of reporting overall breast cancer and common subtypes is high. Despite having a family history of breast cancer and voluntarily enrolling in a study evaluating breast cancer risk factors, participants may have greater difficulty distinguishing between in situ and invasive breast cancer and may less accurately report other less common subtypes. Discrepancies may reflect women's poor understanding of information conveyed by health care providers or lack of consistent terminology used to describe subtypes.

High use of complementary and alternative medicine among a large cohort of women with a family history of breast cancer: the Sister Study.

Use of complementary and alternative medicine (CAM) is high among U.S. women, yet information is limited on use among women at increased breast cancer risk. We analyzed CAM use among women with a family history of breast cancer. CAM use was analyzed among women enrolled 2003-2009 in the Sister Study cohort. Eligible women were aged 35-74, U.S. or Puerto Rican residents, no personal history of breast cancer, and had ≥1 sister with breast cancer. Baseline data on CAM use in the past year were available for 49,734 women. Logistic regression models examined the association between CAM use and Gail Model breast cancer risk score. Results were compared to female participants in the 2007 National Health Interview Survey (n = 7965). Among Sister Study participants, there was high use of vitamin/mineral supplements (79 %), mind-body practices (41 %), manipulative/body-based practices (32 %), and botanicals (23 %). Overall use was higher than the U.S. female population. No association was observed between familial breast cancer risk and CAM use. Black women were more likely to use spirituality/meditation-based CAM modalities, while non-Hispanic white and Asian women were high users of dietary supplements. In a cohort of women with increased breast cancer risk due to family history, CAM use is higher than women in the general U.S. population and is associated with race/ethnicity. Use was not associated with breast cancer risk. Given the high prevalence of CAM use among women at risk for breast caner, research on the effectiveness of CAM use for disease prevention is needed.

Genes associated with histopathologic features of triple negative breast tumors predict molecular subtypes.

Distinct subtypes of triple negative (TN) breast cancer have been identified by tumor expression profiling. However, little is known about the relationship between histopathologic features of TN tumors, which reflect aspects of both tumor behavior and tumor microenvironment, and molecular TN subtypes. The histopathologic features of TN tumors were assessed by central review and 593 TN tumors were subjected to whole genome expression profiling using the Illumina Whole Genome DASL array. TN molecular subtypes were defined based on gene expression data associated with histopathologic features of TN tumors. Gene expression analysis yielded signatures for four TN subtypes (basal-like, androgen receptor positive, immune, and stromal) consistent with previous studies. Expression analysis also identified genes significantly associated with the 12 histological features of TN tumors. Development of signatures using these markers of histopathological features resulted in six distinct TN subtype signatures, including an additional basal-like and stromal signature. The additional basal-like subtype was distinguished by elevated expression of cell motility and glucose metabolism genes and reduced expression of immune signaling genes, whereas the additional stromal subtype was distinguished by elevated expression of immunomodulatory pathway genes. Histopathologic features that reflect heterogeneity in tumor architecture, cell structure, and tumor microenvironment are related to TN subtype. Accounting for histopathologic features in the development of gene expression signatures, six major subtypes of TN breast cancer were identified.

Use of nonsteroidal anti-inflammatory drugs and reduced breast cancer risk among overweight women.

Chronic inflammation is associated with increased risk of multiple cancers, including breast cancer. Adipose tissues produce proinflammatory cytokines, and obesity is a risk factor for postmenopausal breast cancer. We evaluated the association of regular use of nonsteroidal anti-inflammatory drugs (NSAIDs) with breast cancer risk, overall and by body mass index (BMI) and tumor subtypes defined by estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 status. We conducted a population-based, case-control study involving 5,078 women aged 25-75 years who were recruited primarily from the Nashville metropolitan area of Tennessee. Multivariate unconditional logistic regression models were used to estimate odds ratios and 95 % confidence intervals for breast cancer risk after adjusting for multiple potential confounding factors. Regular use of any NSAID was associated with significantly reduced breast cancer risk (OR 0.78; 95 % CI 0.69-0.89). This association was observed for regular use of baby aspirin only (OR 0.82, 95 % CI 0.69-0.99), other NSAIDs only (OR 0.81, 95 % CI 0.69-0.95), and both baby aspirin and other NSAIDs (OR 0.52, 95 % CI 0.40-0.69). These significant inverse associations were found among overweight women (BMI ≥25 kg/m(2)) overall and by subtypes of breast cancer, but not among women with BMI <25 kg/m(2) (P for interaction = 0.023). Regular use of NSAIDs was inversely associated with breast cancer risk, particularly among overweight women. Overweight women may benefit more from the protective effects of NSAID use than normal-weight women.

APOBEC3 deletion polymorphism is associated with breast cancer risk among women of European ancestry.

Copy number variations occur frequently in the genome and are a significant source of human genetic variation accounting for disease. Recently, we discovered a common deletion located in the APOBEC3A and APOBEC3B genes significantly associated with breast cancer in Chinese women. Investigating this locus in other populations would be an expedient way to evaluate the generalizability of the novel finding. We analyzed the APOBEC3 deletion in a large study of 3273 European-ancestry women (including 1671 breast cancer cases and 1602 controls) from the population-based Nashville Breast Health Study. All participants were genotyped using real-time qualitative PCR. Logistic regression was used to derive odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between the deletion polymorphism and breast cancer risk. The APOBEC3 deletion was observed in 12.4% of cases and 10.4% of controls. The deletion was significantly associated with breast cancer risk, with ORs and 95% CIs of 1.21 (1.02-1.43) associated with one-copy deletion and 2.29 (1.04-5.06) associated with two-copy deletion compared with women with no deletion (P for trend = 0.005). The positive association of the APOBEC3 deletion with breast cancer risk was similar for estrogen receptor-positive and estrogen receptor-negative breast cancer and was not modified by known breast cancer risk factors. Results from this study confirmed the association of the APOBEC3 deletion with breast cancer risk among women of European ancestry.

Ambient Air Pollutants and Olfaction among Women 50-79 Years of Age from the Sister Study.

BACKGROUND: Poor olfaction is common in older adults and may have profound adverse implications on their health. However, little is known about the potential environmental contributors to poor olfaction. OBJECTIVE: We investigated ambient fine particulate matter [PM ≤2.5µm in aerodynamic diameter (PM2.5)] and nitrogen dioxide (NO2) in relation to poor olfaction in middle-aged to older women. METHODS: The Sister Study is a nationwide cohort of 50,884 women in the United States with annual average air pollutant exposures estimated based on participants' residences from enrollment (2003-2009) through 2017. This analysis was limited to 3,345 women, 50-79 years of age as of January 2018, who completed the Brief Smell Identification Test (B-SIT) in 2018-2019. Poor olfaction was defined as a B-SIT score of ≤9 in the primary analysis. We conducted multivariable logistic regressions, accounting for covariates and study sampling design. RESULTS: Overall, we found little evidence for associations of air pollutants with poor olfaction. The odds ratio (OR) and 95% confidence interval (CI) of poor olfaction for each interquartile range (IQR) increment of air pollutants in 2006 were 1.03 (95% CI: 0.91, 1.17) for PM2.5 (per 3.3 µg/m3) and 1.08 (95% CI: 0.96, 1.22) for NO2 (per 5.7 ppb). Results were similar in the analyses using the most recent (2017) or the cumulative average (2006-2017) air pollutant exposure data. Secondary analyses suggested potential association in certain subgroups. The OR per IQR was 1.35 (95% CI: 1.11, 1.65) for PM2.5 among younger participants (<54.2 years of age) and 1.87 (95% CI: 1.29, 2.71) for NO2 among current smokers. DISCUSSION: This study did not find convincing evidence that air pollutants have lasting detrimental effects on the sense of smell of women 50-79 years of age. The subgroup analyses are exploratory, and the findings need independent confirmation. https://doi.org/10.1289/EHP12066.

Assessment of Self-reported Sense of Smell, Objective Testing, and Associated Factors in Middle-aged and Older Women.

Importance: Poor olfaction is common in older adults and signifies multiple adverse health outcomes, but it often goes unrecognized. Objective: To characterize the self-awareness of poor olfaction in women, including its prevalence, associated factors, reporting reliability, validity against an objective test, and factors associated with validity. Design, Setting, and Participants: These cross-sectional survey data and a case-control subsample were taken from the National Institute of Environmental Health Sciences' Sister Study. Of 41 118 participants (aged 41-85 years) who reported olfaction in 2014 through 2016, 3406 (aged 50-79 years) reported olfaction again in 2018 through 2019 and completed the 12-item Brief Smell Identification Test, version A, including 2353 women who self-reported poor olfaction in 2014 through 2016 and 1053 women who reported normal olfaction. Data analyses were performed between May 28, 2021, and December 23, 2021. Main Outcomes and Measures: Self-reported (yes/no) and objectively tested poor olfaction defined as a Brief Smell Identification Test score of 9 or lower. Multivariable logistic regressions were used to assess factors that might be associated with the prevalence and reporting accuracy of self-reported olfaction. In subsample analyses, the sampling strategy was accounted for to extrapolate data to eligible cohort samples. Results: Of the 41 118 women (mean [SD] age, 64.3 [8.7] years) included in the analysis, 3322 (8.1%) self-reported poor olfaction. Higher prevalence was associated with older age, not being married, current smoking status, frequent coffee drinking, overweight or obesity, less than optimal health, Parkinson disease, cognitive impairment, depression, anxiety, and seasonal allergy, whereas a lower prevalence was associated with non-Hispanic Black race and physical activity. In the subsample analyses, olfaction status reported 3 years apart showed a modest agreement (κ, 0.56; 95% CI, 0.51-0.61). The prevalence of objectively tested poor olfaction was 13.3% (95% CI, 11.5%-15.0%), and in contrast with self-reports, it was twice as high in non-Hispanic Black women as in non-Hispanic White women (24.5% vs 12.5%). Compared with objective tests, self-reports showed a low sensitivity (22.6%; 95% CI, 19.6%-25.6%), especially in non-Hispanic Black women (12.4%; 95% CI, 7.0%-17.8%). The specificity was uniformly high (>90%). Among participants who reported poor olfaction, higher odds of true vs false positives were associated with age older than 60 years (60-64 years old, 1.68; 95% CI, 1.51-1.87; 65-69 years old, 2.26; 95% CI, 2.03-2.51; 70-74 years old, 3.34; 95% CI, 3.00-3.73; ≥75 years old, 5.17; 95% CI, 4.43-6.03), non-Hispanic Black race (2.00; 95% CI, 1.70-2.36), no college education (1.34; 95% CI, 1.22-1.48), underweight (1.40; 95% CI, 1.04-1.88), fair or poor health (1.37; 95% CI, 1.22-1.54), and Parkinson disease (7.60; 95% CI, 5.60-10.32). Among those with objectively tested poor olfaction, lower odds of true positives vs false negatives were associated with Black race (0.46; 95% CI, 0.25-0.86). Conclusions and Relevance: In this case-control study, the self-awareness and reporting accuracy of poor olfaction in middle-aged and older women were low, particularly in non-Hispanic Black women. Given its potential health implications, awareness of this common sensory deficit should be raised.

Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women.

Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first identify variants that are associated with breast cancer at P < 0.05 from African ancestry GWAS meta-analysis (9241 cases and 10193 controls), then meta-analyze with European ancestry GWAS data (122977 cases and 105974 controls) from the Breast Cancer Association Consortium. The approach identifies four loci for overall breast cancer risk [1p13.3, 5q31.1, 15q24 (two independent signals), and 15q26.3] and two loci for estrogen receptor-negative disease (1q41 and 7q11.23) at genome-wide significance. Four of the index single nucleotide polymorphisms (SNPs) lie within introns of genes (KCNK2, C5orf56, SCAMP2, and SIN3A) and the other index SNPs are located close to GSTM4, AMPD2, CASTOR2, and RP11-168G16.2. Here we present risk loci with consistent direction of associations in African and European descendants. The study suggests that replication across multiple ancestry populations can help improve the understanding of breast cancer genetics and identify causal variants.

The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action.

The rapid pace of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; COVID-19) pandemic presents challenges to the real-time collection of population-scale data to inform near-term public health needs as well as future investigations. We established the COronavirus Pandemic Epidemiology (COPE) consortium to address this unprecedented crisis on behalf of the epidemiology research community. As a central component of this initiative, we have developed a COVID Symptom Study (previously known as the COVID Symptom Tracker) mobile application as a common data collection tool for epidemiologic cohort studies with active study participants. This mobile application collects information on risk factors, daily symptoms, and outcomes through a user-friendly interface that minimizes participant burden. Combined with our efforts within the general population, data collected from nearly 3 million participants in the United States and United Kingdom are being used to address critical needs in the emergency response, including identifying potential hot spots of disease and clinically actionable risk factors. The linkage of symptom data collected in the app with information and biospecimens already collected in epidemiology cohorts will position us to address key questions related to diet, lifestyle, environmental, and socioeconomic factors on susceptibility to COVID-19, clinical outcomes related to infection, and long-term physical, mental health, and financial sequalae. We call upon additional epidemiology cohorts to join this collective effort to strengthen our impact on the current health crisis and generate a new model for a collaborative and nimble research infrastructure that will lead to more rapid translation of our work for the betterment of public health.

Chronic antibiotic use during adulthood and weight change in the Sister Study.

BACKGROUND/OBJECTIVES: Antibiotic use in early life has been associated with weight gain in several populations. However, associations between chronic antibiotic use and weight among adults in the general population are unknown. SUBJECTS/METHODS: The NIEHS Sister Study is a longitudinal cohort of sisters of women with breast cancer. We examined associations between chronic antibiotic use (≥ 3 months) during the fourth decade of life (30-39 years) and subsequent obesity at enrollment (mean age = 55) via logistic regression. We also examined associations between chronic antibiotic use in the 5 years and 12 months prior to enrollment and weight gain after enrollment in linear mixed models. Models were adjusted for race/ethnicity, education, urban/rural status, age, and smoking. RESULTS: In adjusted analyses (n = 50,237), chronic penicillin use during the 4th decade of life was associated with obesity at enrollment (OR 2.00, 95% CI 1.40, 2.87), and use in the 5 years prior to enrollment was associated with increased BMI change after enrollment (ß 1.00 95% CI 0.01, 2.00). Use of bactericidals (OR 1.71, 95% CI 1.29, 2.26) during the 4th decade of life was also associated with obesity at enrollment. Associations for penicillins and bactericidals were consistent across indications for use. Bacteriostatic use in the 5 years prior to enrollment was associated with a reduction in BMI after enrollment (ß -0.52, 95% CI -1.04, 0.00), and tetracycline use during the 4th decade of life was associated with reduced odds of obesity at enrollment (OR 0.72, 95% CI 0.56, 0.92). However, these inverse associations were only present for those who reported taking antibiotics for skin purposes. Cephalosporins, macrolides, quinolones, and sulfonamides were not associated with BMI change over time. CONCLUSIONS: Chronic use of antibiotics during adulthood may have long-lasting impacts on BMI. Associations may differ by antibiotic class, and confounding by indication may be important for some antibiotic classes.

The Sister Study Cohort: Baseline Methods and Participant Characteristics.

BACKGROUND: The Sister Study was designed to address gaps in the study of environment and breast cancer by taking advantage of more frequent breast cancer diagnoses among women with a sister history of breast cancer and the presumed enrichment of shared environmental and genetic exposures. OBJECTIVE: The Sister Study sought a large cohort of women never diagnosed with breast cancer but who had a sister (full or half) diagnosed with breast cancer. METHODS: A multifaceted national effort employed novel strategies to recruit a diverse cohort, and collected biological and environmental samples and extensive data on potential breast cancer risk factors. RESULTS: The Sister Study enrolled 50,884 U.S. and Puerto Rican women 35-74y of age (median 56 y). Although the majority were non-Hispanic white, well educated, and economically well off, substantial numbers of harder-to-recruit women also enrolled (race/ethnicity other than non-Hispanic white: 16%; no college degree: 35%; household income <$50,000: 26%). Although all had a biologic sister with breast cancer, 16.5% had average or lower risk of breast cancer according to the Breast Cancer Risk Assessment Tool (Gail score). Most were postmenopausal (66%), parous with a first full-term pregnancy <30y of age (79%), never-smokers (56%) with body mass indexes (BMIs) of <29.9 kg/m2 (70%). Few (5%) reported any cancer prior to enrollment. CONCLUSIONS: The Sister Study is a unique cohort designed to efficiently study environmental and genetic risk factors for breast cancer. Extensive exposure data over the life-course and baseline specimens provide important opportunities for studying breast cancer and other health outcomes in women. Collaborations are welcome. https://doi.org/10.1289/EHP1923.

PHIP - a novel candidate breast cancer susceptibility locus on 6q14.1.

Most non-BRCA1/2 breast cancer families have no identified genetic cause. We used linkage and haplotype analyses in familial and sporadic breast cancer cases to identify a susceptibility locus on chromosome 6q. Two independent genome-wide linkage analysis studies suggested a 3 Mb locus on chromosome 6q and two unrelated Swedish families with a LOD >2 together seemed to share a haplotype in 6q14.1. We hypothesized that this region harbored a rare high-risk founder allele contributing to breast cancer in these two families. Sequencing of DNA and RNA from the two families did not detect any pathogenic mutations. Finally, 29 SNPs in the region were analyzed in 44,214 cases and 43,532 controls from BCAC, and the original haplotypes in the two families were suggested as low-risk alleles for European and Swedish women specifically. There was also some support for one additional independent moderate-risk allele in Swedish familial samples. The results were consistent with our previous findings in familial breast cancer and supported a breast cancer susceptibility locus at 6q14.1 around the PHIP gene.

Evaluating 17 breast cancer susceptibility loci in the Nashville breast health study.

BACKGROUND: Genome-wide association studies have discovered multiple genetic loci associated with breast cancer risk. Investigating these loci would be helpful to evaluate previous findings and identify causal variants for breast cancer. We evaluated index SNPs in 17 of these loci in a study of 1,511 cases and 1,454 controls of European descent. METHODS: We investigated the overall association with breast cancer and among subtypes defined as ER+ (estrogen receptor positive), ER- (estrogen receptor negative) and triple-negative breast cancer (TNBC). Combined effects of SNPs on breast cancer risk were assessed via a genetic risk score. We evaluated the contribution of both genetic variants and traditional risk factors to a breast cancer risk assessment model. RESULTS: Five of the 17 SNPs were significantly associated (P ≤ 0.05) with overall breast cancer in the same direction as previously reported: rs13387042 (2q35/TNP1), rs4973768 (3p24/SLC4A7), rs2046210 (6q25/ESR1), rs1219648 (10q26/FGFR2), and rs4784227 (16q12/TOX3). When stratified by breast cancer subtype, all five SNPs were associated (P < 0.05) with ER+ cancer, three with ER- cancer (rs13387042, rs1219648, and rs4784227), and one with TNBC (rs1219648). A GRS, based on those five significant SNPs, showed strong association with overall breast cancer with ORs (95 % CI) of 1.48 (1.22-1.79), 1.85 (1.52-2.25) and 2.26 (1.82-2.80), respectively, for each quartile, (P = 2.0 × 10(-15)). Traditional risk factors, including previous benign breast disease, breast cancer family history and parity, were significantly associated with breast cancer risk in the present study. These factors, together with the GRS, were used to build a breast cancer risk assessment model with a c statistic of 0.6321 from receiver operating characteristic analysis. The contribution of the GRS to the model was greater than prior benign breast disease, family history and parity with the c statistic change of 0.0374, 0.0324, 0.0103, 0.0012, respectively. CONCLUSIONS: Our study demonstrates that five SNPs were associated with overall breast cancer, with stronger association for ER+ than ER- cancer as previously reported, and suggests that a risk assessment model incorporating the GRS from five loci is useful in identifying women at high risk of breast cancer.

Interactions of hormone replacement therapy, body weight, and bilateral oophorectomy in breast cancer risk.

PURPOSE: To examine potential modifying effects of body weight and bilateral oophorectomy on the association of hormone replacement therapy (HRT) with risk of breast cancer, overall and by subtypes according to status of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (Her2) among postmenopausal women. EXPERIMENTAL DESIGN: This analysis included 2,510 postmenopausal white women recruited in the Nashville Breast Health Study, a population-based case-control study of breast cancer. Multivariable logistic regression was used to estimate ORs and 95% confidence intervals (CI) for associations between HRT use and risk of breast cancer overall and by subtypes, adjusted for age and education. RESULTS: Among women with natural menopause and body mass index (BMI) < 25 kg/m(2), ever-use of HRT was associated with increased breast cancer risk (OR, 1.95; 95% CI, 1.32-2.88). Risk was elevated with duration of HRT use (P for trend = 0.002). Similar association patterns were found for ER(+), ER(+)PR(+), and luminal A cancer subtypes but not ER(-), ER(-)PR(-), and triple-negative cancer. In contrast, ever-HRT use in overweight women (BMI ≥ 25 kg/m(2)) showed no association with risk of breast cancer overall or by subtypes; interaction tests for modifying effect of BMI were statistically significant. Ever-HRT use was associated with decreased breast cancer risk (OR, 0.70; 95% CI, 0.38-1.31) among women with prior bilateral oophorectomy but elevated risk (OR, 1.45; 95% CI, 0.92-2.29) among those with hysterectomy without bilateral oophorectomy (P for interaction = 0.057). Similar associations were seen for virtually all breast cancer subtypes, although interaction tests were statistically significant for ER(+) and luminal A only. CONCLUSION: Body weight and bilateral oophorectomy modify associations between HRT use and breast cancer risk, especially the risk of hormone receptor-positive tumors.

Associations of hormone-related factors with breast cancer risk according to hormone receptor status among white and African American women.

BACKGROUND: Causes of racial disparities in breast cancer incidence and mortality between white and African American women remain unclear. This study evaluated associations of menstrual and reproductive factors with breast cancer risk by race and cancer subtypes. PATIENTS AND METHODS: Included in the study were 1866 breast cancer cases and 2306 controls recruited in the Nashville Breast Health Study, a population-based case-control study. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: African American women were more likely to have estrogen receptor-negative (ER(-)), progesterone receptor-negative (PR(-)), and triple-negative (ER(-)PR(-)HER2(-)) breast cancer than white women. Age at menarche (≥ 14 years) and multiparity (≥ 3 live births) were inversely associated with ER(+) tumors only, whereas late age at first live birth (> 30 years) and nulliparity were associated with elevated risk; such associations were predominantly seen in white women (OR = 0.70, 95% CI = 0.55-0.88; OR = 0.72, 95% CI = 0.56-0.92; OR = 1.42, 95% CI = 1.13-1.79; OR = 1.32, 95% CI = 1.06-1.63, respectively). Age at menopause between 47 and 51 years was associated with elevated risk of ER(-) tumors in both white and African American women. Among women who had natural menopause, positive association between ever-use of hormone replacement therapy and breast cancer risk was seen in white women only (OR = 1.39, 95% CI = 1.03-1.87). CONCLUSION: This study suggests that certain hormone-related factors are differentially associated with risk of breast cancer subtypes, and these associations also differ by race.

Evaluating genome-wide association study-identified breast cancer risk variants in African-American women.

Genome-wide association studies (GWAS), conducted mostly in European or Asian descendants, have identified approximately 67 genetic susceptibility loci for breast cancer. Given the large differences in genetic architecture between the African-ancestry genome and genomes of Asians and Europeans, it is important to investigate these loci in African-ancestry populations. We evaluated index SNPs in all 67 breast cancer susceptibility loci identified to date in our study including up to 3,300 African-American women (1,231 cases and 2,069 controls), recruited in the Southern Community Cohort Study (SCCS) and the Nashville Breast Health Study (NBHS). Seven SNPs were statistically significant (P ≤ 0.05) with the risk of overall breast cancer in the same direction as previously reported: rs10069690 (5p15/TERT), rs999737 (14q24/RAD51L1), rs13387042 (2q35/TNP1), rs1219648 (10q26/FGFR2), rs8170 (19p13/BABAM1), rs17817449 (16q12/FTO), and rs13329835 (16q23/DYL2). A marginally significant association (P<0.10) was found for three additional SNPs: rs1045485 (2q33/CASP8), rs4849887 (2q14/INHBB), and rs4808801 (19p13/ELL). Three additional SNPs, including rs1011970 (9p21/CDKN2A/2B), rs941764 (14q32/CCDC88C), and rs17529111 (6q14/FAM46A), showed a significant association in analyses conducted by breast cancer subtype. The risk of breast cancer was elevated with an increasing number of risk variants, as measured by quintile of the genetic risk score, from 1.00 (reference), to 1.75 (1.30-2.37), 1.56 (1.15-2.11), 2.02 (1.50-2.74) and 2.63 (1.96-3.52), respectively, (P = 7.8 × 10(-10)). Results from this study highlight the need for large genetic studies in AAs to identify risk variants impacting this population.

A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry.

Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one new locus at 5q33 (GALNT10, rs7708584, P = 3.4 × 10(-11)) and another at 7p15 when we included data from the GIANT consortium (MIR148A-NFE2L3, rs10261878, P = 1.2 × 10(-10)). We also found suggestive evidence of an association at a third locus at 6q16 in the African-ancestry sample (KLHL32, rs974417, P = 6.9 × 10(-8)). Thirty-two of the 36 previously established BMI variants showed directionally consistent effect estimates in our GWAS (binomial P = 9.7 × 10(-7)), five of which reached genome-wide significance. These findings provide strong support for shared BMI loci across populations, as well as for the utility of studying ancestrally diverse populations.

Local breast cancer spatial patterning: a tool for community health resource allocation to address local disparities in breast cancer mortality.

Despite available demographic data on the factors that contribute to breast cancer mortality in large population datasets, local patterns are often overlooked. Such local information could provide a valuable metric by which regional community health resources can be allocated to reduce breast cancer mortality. We used national and statewide datasets to assess geographical distribution of breast cancer mortality rates and known risk factors influencing breast cancer mortality in middle Tennessee. Each county in middle Tennessee, and each ZIP code within metropolitan Davidson County, was scored for risk factor prevalence and assigned quartile scores that were used as a metric to identify geographic areas of need. While breast cancer mortality often correlated with age and incidence, geographic areas were identified in which breast cancer mortality rates did not correlate with age and incidence, but correlated with additional risk factors, such as mammography screening and socioeconomic status. Geographical variability in specific risk factors was evident, demonstrating the utility of this approach to identify local areas of risk. This method revealed local patterns in breast cancer mortality that might otherwise be overlooked in a more broadly based analysis. Our data suggest that understanding the geographic distribution of breast cancer mortality, and the distribution of risk factors that contribute to breast cancer mortality, will not only identify communities with the greatest need of support, but will identify the types of resources that would provide the most benefit to reduce breast cancer mortality in the community.