Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

Ex Input:
Context: Women with a family history of breast cancer face considerable uncertainty about whether to pursue standard screening, intensive screening, or prophylactic surgery. Accurate and individualized risk-estimation approaches may help these women make more informed decisions. Although highly penetrant genetic variants have been associated with familial breast cancer (FBC) risk, many individuals do not carry these variants, and many carriers never develop breast cancer. Common risk variants have a relatively modest effect on risk and show limited potential for predicting FBC development. As an alternative, we hypothesized that additional genomic data types, such as gene-expression levels, which can reflect genetic and epigenetic variation, could contribute to classifying a person's risk status. Specifically, we aimed to identify common patterns in gene-expression levels across individuals who develop FBC.", 'We profiled peripheral blood mononuclear cells from women with a family history of breast cancer (with or without a germline BRCA1/2 variant) and from controls. We used the support vector machines algorithm to differentiate between patients who developed FBC and those who did not. Our study used two independent datasets, a training set of 124 women from Utah (USA) and an external validation (test) set from Ontario (Canada) of 73 women (197 total). We controlled for expression variation associated with clinical, demographic, and treatment variables as well as lymphocyte markers.', 'Our multigene biomarker provided accurate, individual-level estimates of FBC occurrence for the Utah cohort (AUC = 0.76 [0.67-84]) . Even at their lower confidence bounds, these accuracy estimates meet or exceed estimates from alternative approaches. Our Ontario cohort resulted in similarly high levels of accuracy (AUC = 0.73 [0.59-0.86]), thus providing external validation of our findings. Individuals deemed to have "high" risk by our model would have an estimated 2.4 times greater odds of developing familial breast cancer than individuals deemed to have "low" risk.
Answer: Together, these findings suggest that gene-expression levels in peripheral blood cells reflect genomic variation associated with breast cancer risk and that such data have potential to be used as a non-invasive biomarker for familial breast cancer risk.

Ex Output:
Do gene-expression patterns in peripheral blood classify familial breast cancer susceptibility?


Ex Input:
Context: Animal experiment studies have revealed a positive association between intake of citrus fruits and bone health. Nomilin, a limonoid present in citrus fruits, is reported to have many biological activities in mammalian systems, but the mechanism of nomilin on bone metabolism regulation is currently unclear.', 'To reveal the mechanism of nomilin on osteoclastic differentiation of mouse primary bone marrow-derived macrophages (BMMs) and the mouse RAW 264.7 macrophage cell line into osteoclasts.', 'Controlled laboratory study. Effects of nomilin on osteoclastic differentiation were studied in in vitro cell cultures.', 'Cell viability of RAW 264.7 cells and BMMs was measured with the Cell Counting Kit. TRAP-positive multinucleated cells were counted as osteoclast cell numbers. The number and area of resorption pits were measured as bone-resorbing activity. Osteoclast-specific genes expression was evaluated by quantitative real-time PCR; and proteins expression was evaluated by western blot.', 'Nomilin significantly decreased TRAP-positive multinucleated cell numbers compared with the control, and exhibited no cytotoxicity. Nomilin decreased bone resorption activity. Nomilin downregulated osteoclast-specific genes, NFATc1 and TRAP mRNA levels. Furthermore, nomilin suppressed MAPK signaling pathways.
Answer: This study demonstrates clearly that nomilin has inhibitory effects on osteoclastic differentiation in vitro. These findings indicate that nomilin-containing herbal preparations have potential utility for the prevention of bone metabolic diseases.

Ex Output:
Does citrus limonoid nomilin inhibit osteoclastogenesis in vitro by suppression of NFATc1 and MAPK signaling pathways?


Ex Input:
Context: Increased medical staff workload has been associated with worse outcomes in several studies. Inappropriate staffing has also been implicated in the increased risk of mortality for medical patients admitted on weekends. A theoretical threshold patient load may exist, beyond which the resources are strained and patient outcomes suffer. The goal of the study was to see whether trauma patients admitted during 'high' patient-load periods, at night, or on weekends had worse outcomes.", 'Trauma patients admitted to a high-volume Level I trauma center from 1994 to 2002 were analyzed. Patient load was defined as a combination of the number of patients admitted and the severity of their illness. On the basis of a multivariate regression model, a probability of fatal outcome was calculated for each patient as a marker for the severity of illness. For each patient, two new variables were calculated, the number of admissions (#ad) and the average probability of fatal outcome (PFO) for the 24-hour period in which the patient was admitted (excluding the patient him- or herself). The above variables, night/d, and weekend/d were placed in a multivariate regression model.', "There were 30,686 patients. Age, mechanism of injury, Injury Severity Score, maximum head Abbreviated Injury Scale score, admission Glasgow Coma Scale score, systolic blood pressure, and intubation status were the independent predictors of mortality. This model had an outstanding predictive power, with an area under the receiver operating characteristic curve of 0.96. The mean #ad was 11 +/- 4 and PFO was 0.08 +/- 0.07. Values above the 90th percentile were considered 'high' for #ad > 17 or PFO > 0.18. There was no difference in mortality for patients admitted during high #ad (odds ratio [OR], 0.95; p = 0.7) or high PFO (OR, 0.99; p = 0.9) versus low. There was no difference in mortality if a patient was admitted on weekends versus weekdays (OR, 0.9; p = 0.2) or at night versus day (OR, 0.9; p = 0.2). There was no difference in hospital length of stay for high #ad, high PFO, nights, or weekends.
Answer: At this Level I trauma center that is part of an established statewide trauma system, patient outcomes were not compromised during high-patient-load periods, at night, or on weekends.

Ex Output:

Do effect of patient load on trauma outcomes in a Level I trauma center?