Given a passage, 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.

Example Input: Doxorubicin is a cytotoxic drug with potential for severe myelosuppression that is highly variable and poorly predictable.', 'We correlated CBR1 and CBR3 genotypes with the pharmacokinetics and pharmacodynamics of doxorubicin in 101 Southeast Asian breast cancer patients receiving first-line doxorubicin.', 'A common CBR3 11G>A variant was associated with lower doxorubicinol area under the concentration-time curve (AUC)/doxorubicin AUC metabolite ratio (P=0.009, GG vs. AA; trend test, P=0.004), lower CBR3 expression in breast tumor tissue (P=0.001, GG vs. AA), greater tumor reduction (P=0.015, GG vs. AA), and greater percentage reduction of leukocyte and platelet counts at nadir (trend test, P < or = 0.03). Chinese and Malays had higher frequency of the CBR3 11G>A variant than Indians (P < or = 0.002). Another variant CBR3 730G>A was associated with higher doxorubicinol AUC (P=0.009, GG vs. AA) and CBR3 expression in breast tumor tissue (P=0.001, GG vs AA).
Example Output: Does genotype of human carbonyl reductase CBR3 correlate with doxorubicin disposition and toxicity?

Example Input: The purpose of this research study was to identify factors that are associated with receiving care in a medical home for children with special health care needs (CSHCN) and to identify how these factors vary among different socioeconomic levels.', 'Data were obtained from the National Survey of Children with Special Health Care Needs, 2000-2002. Access to a medical home was derived using an algorithm. This survey analysis also included demographic characteristics, geographical location of household, severity of condition, and social factors. Multiple logistic regression models were constructed for socioeconomic status (SES) levels defined by federal poverty level (FPL): <133%; 133-199%; 200-299%; > or =300%.', 'Age group was significant in all but the 200-299% of FPL stratum. Severity of condition was significant in all strata. Race was significant in all but the > or =300% stratum. Maternal education was borderline significant in the lowest and highest strata. Insurance type/status was significant in all but the 133-199% of FPL stratum. Geographical location was significant in the lowest and highest strata. The language of the interview was only significant in the lowest stratum. The relationship of the respondent to the child was significant in the middle two strata. The total number of adults in the household was significant in the highest stratum, and the total number of children in the household was significant in the 200-299% of FPL stratum.
Example Output: Do factors for accessing a medical home vary among CSHCN from different levels of socioeconomic status?

Example Input: The live oral rotavirus (RV) vaccines have shown a reduced efficacy in Africa. Recent in vitro studies have shown binding of the RV surface protein (VP4) to histo-blood group antigens (HBGAs) in an RV genotype-dependent manner, suggesting them to be putative receptors for RV. The diversity of HBGA phenotypes in different ethnic populations, combined with prevalence/absence of specific RV genotypes, led us to hypothesize whether the genetic variations in HBGAs in a population limit susceptibility to certain RV genotypes, plausibly leading to reduced vaccine efficacy.', 'Association between HBGAs status and susceptibility to RV P genotypes was investigated in children in Burkina Faso and Nicaragua. In total, 242 children with diarrhea in Burkina Faso and Nicaragua were investigated, 93 of whom were RV positive.', 'In Burkina Faso, the P[8] RV strains (n = 27) infected only Lewis- and secretor-positive children (27/27; P < .0001), but no Lewis-negative children. In contrast, the P[6] strains (n = 27) infected predominantly Lewis-negative children (n = 18; P < .0001) but also Lewis-positive children, irrespective of their secretor status. The results from Nicaragua confirmed that all P[8]-infected children (n = 22) were secretor Lewis positive.
Example Output:
Do both Lewis and secretor status mediate susceptibility to rotavirus infections in a rotavirus genotype-dependent manner?