In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Example Input: Context: Galbeta1-4GlcNAcalpha2-6 sialyltransferase (ST6GalI) is an acute phase reactant whose release from cells can be induced by proinflammatory cytokines. Because patients with chronic renal failure have high circulating levels of proinflammatory cytokines, we hypothesized that patients on the renal transplant waiting list would have high circulating levels of ST6GalI, which might adversely affect post-transplant events.', 'Levels of ST6GalI were measured in the serum of 70 patients immediately before renal transplant; these were correlated with posttransplant events, such as delayed graft function and rejection.', 'The mean serum level of ST6GalI was significantly higher in the patients (3162+/-97 U) than in 19 controls (2569 +/- 125 U; P<0.003). Patients who required dialysis posttransplant for treatment of delayed graft function (n=20) had significantly higher levels of ST6GalI pretransplant (3735+/-228 U) than patients (n=50) who did not require dialysis (2933+/-83 U; P<0.0001). In a multivariate analysis the ST6GalI level and cold ischemic time were found to be independent risk factors for the development of delayed graft function.\Question: Do increased levels of GALbeta1-4GLCNACalpha2-6 sialyltransferase pretransplant predict delayed graft function in kidney transplant recipients?
Example Output: ST6GalI levels are high in renal failure patients awaiting a renal transplant and may be a risk factor for the development of delayed graft function. The assessment and perhaps modulation of a potential transplant recipient's ST6GalI systemic level may be beneficial.

Example Input: Context: The population analysis of cardiovascular risk and non-risk genetic variation can help to identify adaptive or random demographic processes that shaped coronary incidence variation across geography.', 'In this study, 114 single nucleotide polymorphisms and 17 tandem repeat polymorphisms from Nitric Oxide Synthases (NOS) regions were analyzed in 1686 individuals from 35 populations from Europe, North Africa, and the Middle East. NOS genes encode for key enzymes on nitric oxide availability, which is involved in several cardiovascular processes. These genetic variations were used to test for selection and to infer the population structure of NOS regions. Moreover, we tested whether the variation in the incidence of coronary events and in the levels of classical risk factors in 11 of these European populations could be explained by the population structure estimates.', 'Our results supported, first, the absence of clear signs of selection for NOS genetic variants associated with cardiovascular diseases, and second, the presence of a continuous genetic pattern of variation across European and North African populations without a Mediterranean barrier for gene flow. Finally, population structure estimates from NOS regions are closely correlated with coronary event rates and classical risk parameters (explaining 39-98%) among European populations.\Question: Does population structure from NOS genes correlate with geographical differences in coronary incidence across Europe?
Example Output: Our results reinforce the hypothesis that genetic bases of cardiovascular diseases and associated complex phenotypes could be geographically shaped by random demographic processes.

Example Input: Context: Smoking parents are the main source of passive smoke exposure in childhood. Only few studies have assessed the effect of maternal or paternal cigarette smoke exposure in childhood on the development and severity of COPD.', 'We recruited n = 251 COPD-patients, n = 113 were clinically stable (no exacerbations for up to 24 years backdated from the day of interview), and - according to their history - n = 138 had more than one exacerbation during this time period. All COPD-patients were interviewed by a physician using a structured questionnaire on main health outcomes, social status, smoking history of their parents and themselves. Furthermore, pulmonary function was measured, and concomitant lung diseases were excluded.', 'Both COPD groups were comparable in age, gender, smoking history at the beginning of the disease, and cigarette pack-years smoked. Patients whose mothers smoked during childhood had poorer lung function values: FEV (1) 45.2 % vs. 54 % (p = 0.037). Non-smoking patients with a history of maternal smoking had a 7-times higher exacerbation rate compared to patients without passive smoke exposure (p = 0.073). Paternal cigarette smoke exposure had no effect.\Question: Does [ Parental smoking and passive smoke exposure in childhood promote the COPD exacerbation rate ]?
Example Output:
Maternal cigarette smoke exposure in childhood aggravates the COPD disease and predisposes the patient for a higher disease severity.