Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0018099 (gout)
 5,192 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The state of internal organs was studied in 447 patients with primary gout. Clinical, biochemical and instrumental methods were used during these researches. Alterations in kidney were found in 332 patients (74.7%), including 95 with signs of nephritic insufficiency. Pathology of kidney and biliary tract was marked in 187 (41.8%) patients. Multifunctions of fermental, lipid and protein exchange were also disclosed. During computer tomography and USI different alterations in kidney, liver, spleen and pancreas were diagnosed, such as cysts and round calcification. Gallstones were found in 57 patients and stones in kidney--in 164.
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PMID:[Gouty visceropathies]. 859 52

Several health hazards and social disabilities are associated with obesity. Increased mortality is associated with increased body weight. A high rate of mortality results from heart disease, diabetes mellitus, gallbladder disease, high blood pressure, and cancer. Physiologic cardiovascular changes occur, leading to left ventricular hypertrophy and lipid abnormalities. Hypertension, stroke, and venous stasis are increased. Pulmonary abnormalities include obstructive sleep apnea, which can be associated with secondary polycythemia and right ventricular hypertrophy. Gallstones, gallbladder disease, and accumulation of fat on the liver are significantly increased. Gout and reproductive abnormalities in women are common. Osteoarthritis of the knees and spine occur, although osteoporosis is rare. Risk for endometrial and breast cancer is increased, particularly in the presence of increased central fat. Changes in the skin include stretch marks, acanthosis negricans, hirsutism, intertrigo, and multiple papillomas. Impaired psychosocial function is manifested as social isolation, loss of job mobility, increased employee absenteeism, and economic and social discrimination.
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PMID:Health hazards of obesity. 897 52

We construct risk predictors using polygenic scores (PGS) computed from common Single Nucleotide Polymorphisms (SNPs) for a number of complex disease conditions, using L1-penalized regression (also known as LASSO) on case-control data from UK Biobank. Among the disease conditions studied are Hypothyroidism, (Resistant) Hypertension, Type 1 and 2 Diabetes, Breast Cancer, Prostate Cancer, Testicular Cancer, Gallstones, Glaucoma, Gout, Atrial Fibrillation, High Cholesterol, Asthma, Basal Cell Carcinoma, Malignant Melanoma, and Heart Attack. We obtain values for the area under the receiver operating characteristic curves (AUC) in the range ~0.58-0.71 using SNP data alone. Substantially higher predictor AUCs are obtained when incorporating additional variables such as age and sex. Some SNP predictors alone are sufficient to identify outliers (e.g., in the 99th percentile of polygenic score, or PGS) with 3-8 times higher risk than typical individuals. We validate predictors out-of-sample using the eMERGE dataset, and also with different ancestry subgroups within the UK Biobank population. Our results indicate that substantial improvements in predictive power are attainable using training sets with larger case populations. We anticipate rapid improvement in genomic prediction as more case-control data become available for analysis.
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PMID:Genomic Prediction of 16 Complex Disease Risks Including Heart Attack, Diabetes, Breast and Prostate Cancer. 3174 97