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: Two recent genome-wide association studies identified the liver expressed transmembrane protein adiponutrin to be associated with liver related phenotypes such as non-alcoholic fatty liver disease and liver function enzymes. These associations were not uniformly reported for various ethnicities. The aim of this study was to investigate a common non-synonymous variant within adiponutrin (rs738409, exon 3) with parameters of liver function in three independent West Eurasian study populations including a total of 4290 participants.', 'The study was performed in (1) the population based Bruneck Study (n=783), (2) the Salzburg Atherosclerosis Prevention Program in Subjects at High Individual Risk Study from Austria based on a healthy working population (n=1705), and the Utah Obesity Case-Control Study including a group of 1019 severely obese individuals (average body mass index 46.0 kg/m(2)) and 783 controls from the same geographical region of Utah. Liver enzymes measured were alanine aminotransferase (ALT), aspartate aminotransferase (AST) and gamma-glutamyl transferase (GGT).', 'A strong recessive association of this polymorphism was found with age and gender adjusted ALT and AST concentrations: being homozygous for the minor allele resulted in a highly significant increase of ALT concentration of 3.53 U/l (p=1.86 x 10(-9)) and of AST concentration of 2.07 U/l (p=9.58 x 10(-6)), respectively. The associations were consistently found in all three study populations.\Question: Does a common variant in the adiponutrin gene influence liver enzyme values?
Example Output: The highly significant associations of this transversion polymorphism within the adiponutrin gene with increased ALT and AST concentrations support a role for adiponutrin as a susceptibility gene for hepatic dysfunction.

Example Input: Context: Interobserver and intraobserver reliability study of improved method to evaluate radiographs of patients with scoliosis.', 'To determine the reliability of a computer-assisted measurement protocol for evaluating Cobb angle and King et al classification.', 'Evaluation of scoliosis radiographs is inherently unreliable because of technical and human judgmental errors. Objective, computer-assisted evaluation tools may improve reliability.', 'Posteroanterior preoperative radiographic images of 27 patients with adolescent idiopathic scoliosis were each displayed on a computer screen. They were marked 3 times in random sequence by each of 5 evaluators (observers) who marked 70 standardized points on the vertebrae and sacrum in each radiograph. A computer program (Spine 2002;27:2801-5) that identified curves, calculated Cobb angles, and generated the King et al classification automatically analyzed coordinates of these points. The interobserver and intraobserver variability of the Cobb angle and King et al classification evaluations were quantified and compared with values obtained by unassisted observers.', 'Average Cobb angle intraobserver standard deviation was 2.0 degrees for both the thoracic and lumbar curves (range 0.1 to 8.3 degrees for different curves). Interobserver reliability was 2.5 degrees for thoracic curves and 2.6 degrees for lumbar curves. Among the 5 observers, there was an inverse relationship between repeatability and time spent marking images, and no correlation with image quality or curve magnitude. Kappa values for the variability of the King et al classification averaged 0.85 (intraobserver).\Question: Do computer-assisted algorithms improve reliability of King classification and Cobb angle measurement of scoliosis?
Example Output: Variability of Cobb measurements compares favorably with previously published series. The classification was more reliable than achieved by unassisted observers evaluating the same radiographs. The same principles may be applicable to other radiographic measurement and evaluation procedures.

Example Input: Context: The objective of this study is to characterize differential proteomic expression among well-differentiation and poor-differentiation colorectal carcinoma tissues and normal mucous epithelium.', 'The study is based on quantitative 2-dimensional gel electrophoresis and analyzed by PDquest.', 'Excluding redundancies due to proteolysis and posttranslational modified isoforms of over 600 protein spots, 11 proteins were revealed as regulated with statistical variance being within the 95th confidence level and were identified by peptide mass fingerprinting in matrix assisted laser desorption/ionization time-of-flight mass spectrometry. Progression-associated proteins belong to the functional complexes of tumorigenesis, proliferation, differentiation, metabolism, and the regulation of major histocompatibility complex processing and other functions. Partial but significant overlap was revealed with previous proteomics and transcriptomics studies in CRC. Among various differentiation stage of CRC tissues, we identified calreticulin precursor, MHC class I antigen (human leukocyte antigen A ), glutathione S-transferase pi1, keratin 8, heat shock protein 27, tubulin beta chain, triosephosphate, fatty acid-binding protein, hemoglobin (deoxy) mutant with val b 1 replaced by met (HBB), and zinc finger protein 312 (FEZF2).\Question: Does proteomic analysis reveal novel proteins associated with progression and differentiation of colorectal carcinoma?
Example Output:
Their functional networks were analyzed by Ingenuity systems Ingenuity Pathways Analysis and revealed the potential roles as novel biomarkers for progression in various differentiation stages of CRC.