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.

Ex Input:
Context: Collagenous colitis (CC) is a major cause of chronic non-bloody diarrhoea, particularly in the elderly female population. The aetiology of CC is unknown, and still poor is the understanding of its pathogenesis. This possibly involves dysregulated inflammation and immune-mediated reactions in genetically predisposed individuals, but the contribution of genetic factors to CC is underinvestigated. We systematically tested immune-related genes known to impact the risk of several autoimmune diseases for their potential CC-predisposing role.', 'Three independent cohorts of histologically confirmed CC cases (N=314) and controls (N=4299) from Sweden and Germany were included in a 2-step association analysis. Immunochip and targeted single nucleotide polymorphism (SNP) genotype data were produced, respectively, for discovery and replication purposes. Classical human leucocyte antigen (HLA) variants at 2-digit and 4-digit resolution were obtained via imputation from single marker genotypes. SNPs and HLA variants passing quality control filters were tested for association with CC with logistic regression adjusting for age, sex and country of origin.', 'Forty-two markers gave rise to genome-wide significant association signals, all contained within the HLA region on chromosome 6 (best p=4.2×10\Question: Does dense genotyping of immune-related loci identify HLA variants associated with increased risk of collagenous colitis?

Ex Output:
HLA genotype associates with CC, thus implicating HLA-related immune mechanisms in its pathogenesis.


Ex Input:
Context: Endometrial cancers (ECs) are the most common form of gynecologic malignancy. Recent studies have reported that ECs reveal distinct markers for molecular pathogenesis, which in turn is linked to the various histological types of ECs. To understand further the molecular events contributing to ECs and endometrial tumorigenesis in general, a more precise identification of cancer-associated molecules and signaling networks would be useful for the detection and monitoring of malignancy, improving clinical cancer therapy, and personalization of treatments.', 'ECs-specific gene co-expression networks were constructed by differential expression analysis and weighted gene co-expression network analysis (WGCNA). Important pathways and putative cancer hub genes contribution to tumorigenesis of ECs were identified. An elastic-net regularized classification model was built using the cancer hub gene signatures to predict the phenotypic characteristics of ECs. The 19 cancer hub gene signatures had high predictive power to distinguish among three key principal features of ECs: grade, type, and stage. Intriguingly, these hub gene networks seem to contribute to ECs progression and malignancy via cell-cycle regulation, antigen processing and the citric acid (TCA) cycle.\Question: Does visual gene-network analysis reveal the cancer gene co-expression in human endometrial cancer?

Ex Output:
The results of this study provide a powerful biomarker discovery platform to better understand the progression of ECs and to uncover potential therapeutic targets in the treatment of ECs. This information might lead to improved monitoring of ECs and resulting improvement of treatment of ECs, the 4th most common of cancer in women.


Ex Input:
Context: Atherosclerosis is looked upon as an inflammatory disease. The production of proinflammatory markers may indicate activity in this inflammatory state.', 'We prospectively evaluated a range of proinflammatory serum parameters in 136 cardiac patients who had previously undergone percutaneous coronary intervention (PCI).', 'By means of myocardial scintigraphy, an ischemia group (A; n=49) and a group with stable cardiovascular disease without exercise induced ischemia (B; n=87) were distinguished. Risk factors and lipoprotein profile of both groups were comparable. Serum levels of serum C-reactive protein (CRP), IL-6, sTNF-RI, IGF-I, neopterin, serotonin and prolactin did not present any significant difference between the two groups.\Question: Do proinflammatory parameters as CRP and IL-6 discriminate between post-PCI cardiac patients with and without exercise-induced ischemia as indicated by Tl-201 myocardial scintigraphy?

Ex Output:

We conclude that measurement of these (inflammatory) parameters does not help to delineate post-PCI cardiac patients with and without exercise-induced ischemia.