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SNPMiner SNPMiner Trials (Home Page)


Report for Mutation P12A

Developed by Shray Alag, 2020-2021.
SNP Clinical Trial Gene

There are 6 clinical trials

Clinical Trials


1 Effect of Nutritional Intervention and Olive Oil in Severe Obesity: Randomized Controlled Trial

Obesity is a worldwide epidemic with increasing prevalence, specially severe obesity (Body Mass Index (BMI) ≥ 35 kg/m2). It is a multifactorial disease that involves genetic and environmental factors that lead to increased mortality from cardiovascular disease, diabetes, cancer, among others and impairs life quality. Most research on severe obesity focuses on surgical alternatives and their results, thus this clinical trial aims to evaluate the effect of a non-pharmacological approach based on nutritional intervention and supplementation with a functional food, the olive oil. It will analyze the effectiveness of interventions on: weight loss, improvements on body composition and inflammatory profile (TNF-alfa, interleucins 1, 6 and 10, adiponectin), insulin resistance and serum lipids control, changing eating habits and physical activity practice, modification on bone mineral density and sarcopenia, and reduction of cardiovascular risk and other diseases. Also, it will be investigated the influence of polymorphisms (Pro12Ala of PPAR-γ gene, -174G>C of IL6 gene e Trp64Arg of ADRB3 gene) on nutritional intervention effectiveness with and without olive oil. This research looks for improving severely obese patient's care and contributing to effective results by reducing costs and risk treatment. The investigators believe that this informations will contribute significantly to the scientific field, expanding the knowledge about severe obesity.

NCT02463435
Conditions
  1. Severe Obesity
Interventions
  1. Behavioral: Nutritional intervention
  2. Other: Nutritional intervention plus olive oil
  3. Dietary Supplement: Olive oil
MeSH:Obesity Obesity, Morbid
HPO:Obesity

Also, it will be investigated the influence of polymorphisms (Pro12Ala of PPAR-γ gene, -174G>C of IL6 gene e Trp64Arg of ADRB3 gene) on nutritional intervention effectiveness with and without olive oil. --- Pro12Ala ---

Polymorphism Pro12Ala of Peroxisome Proliferator-Activated Receptor Alfa (PPAR-alfa). --- Pro12Ala ---

Primary Outcomes

Description: Measurements of weight, arm circumference and Body Mass Index (BMI) will be evaluated to assess anthropometric change.

Measure: Anthropometric measurements change

Time: Baseline, week 12

Description: Body fat mass (BFM), body fat percentage (%BF) and body mass density (BMD) will be evaluated to assess body composition change. BFM and %BF will be assessed using multifrequency bioelectrical impedance analysis (BIA) and dual energy X-ray absorptiometry (DXA) and BMD will be assessed using DXA.

Measure: Body composition change

Time: Baseline, week 12

Secondary Outcomes

Description: TNF-alfa

Measure: Change in inflammation parameters

Time: Baseline, week 12

Description: Interleucin 6 (IL6), IL1, IL10

Measure: Change in inflammation parameters

Time: Baseline, week 12

Description: Adiponectin

Measure: Change in inflammation parameters

Time: Baseline, week 12

Description: C-reactive protein (CRP)

Measure: Change in inflammation parameters

Time: Baseline, week 12

Description: Neutrophil to lymphocyte ratio (NLR) and lymphocyte to monocyte ratio (LMR)

Measure: Change in inflammation parameters

Time: Baseline, week 12

Description: Lipid profile (total cholesterol, LDL-c, HDL-c, VLDL-c), insulin resistance (HOMA-IR, glycated hemoglobin), fasting glycaemia, hemogram

Measure: Change in metabolic parameters

Time: Baseline, week 12

Description: Creatinine, urea and uric acid

Measure: Change in kidney function

Time: Baseline, week 12

Description: AST and ALT

Measure: Change in liver function

Time: Baseline, week 12

Description: TSH, T4 and parathyroid hormone

Measure: Change in thyroid function

Time: Baseline, week 12

Description: Vitamin D, vitamin B12 and folic acid

Measure: Change in vitamins

Time: Baseline, week 12

Description: Iron, calcium, sodium, potassium and zinc

Measure: Change in minerals

Time: Baseline, week 12

Measure: Change in cardiovascular risk using Global Risk Score (GRS)

Time: Baseline, week 12

Measure: Change in cardiovascular risk using Framingham Risk Score (FRS)

Time: Baseline, week 12

Measure: Change in cardiovascular risk using heart rate variability (HRV)

Time: Baseline, week 12

Measure: Change in cardiovascular risk using Homocystein level

Time: Baseline, week 12

Description: Difference in responses between intervention groups for anthropometric measurements (weight, arm circumference and body mass index) and body composition variables (body fat mass and body fat percentage) according to this polymorphism

Measure: Polymorphism Pro12Ala of Peroxisome Proliferator-Activated Receptor Alfa (PPAR-alfa)

Time: Baseline, week12

Description: Difference in responses between intervention groups for anthropometric measurements (weight, arm circumference and body mass index) and body composition variables (body fat mass and body fat percentage) according to this polymorphism

Measure: PolymorphismTrp64Arg of Beta-3 Adrenergic Receptor (ADRB3) gene

Time: Baseline, week12

Description: Difference in responses between intervention groups for anthropometric measurements (weight, arm circumference and body mass index) and body composition variables (body fat mass and body fat percentage) according to this polymorphism

Measure: Polymorphism -174G>C of Interleukin 6 (IL6) gene.

Time: Baseline, week12

Measure: Change in physical activity practice using Global Physical Activity Questionnaire

Time: Baseline, week 12

Measure: Change in physical activity practice using accelerometry

Time: Baseline, week 12

Measure: Change in food intake using Food Frequency Questionnaire

Time: Baseline, week 12

Measure: Change in food intake using 24 hour recall

Time: Baseline, week 12

Description: Change in the following variables: bone density using DXA, falls and fractures and sun exposure

Measure: Change in bone health parameters

Time: Baseline, week 12

Measure: Change in obesity sarcopenia using muscle mass (evaluated using DXA)

Time: Baseline, week 12

Measure: Change in obesity sarcopenia using handgrip strength

Time: Baseline, week 12

Measure: Change in sarcopenia using usual gait speed

Time: Baseline, week 12

Description: It will be evaluated through changes in food consumption (food frequency questionnaire)

Measure: Adherence to nutritional intervention

Time: Baseline, week 12

Description: It will be evaluated through attendance to the clinic visits

Measure: Adherence to the health service

Time: Baseline, week 12

Measure: Change in symptoms of anxiety and depression using Hospital Anxiety and Depression Scale

Time: Baseline, week 12

Measure: Change in symptoms of binge eating disorderusing Binge Eating Disorder Scale

Time: Baseline, week 12

Measure: Change in musculoskeletal pain using Visual Analog Scale

Time: Baseline, week 12

Measure: Change in musculoskeletal pain using Nordic Musculoskeletal Questionnaire

Time: Baseline, week 12

2 Alcohol-related Breast Cancer in Postmenopausal Women - Effect of PPARG2pro12ala Polymorphism on Female Sex-hormone Levels and Interaction With Alcohol Consumption and NSAID Usage

Postmenopausal women, stratified by a peroxisome proliferator-activated receptor gamma-2 (PPARG) polymorphism, were given the following treatments in a random order with a 5w wash-out period: a 400mg ibuprofen tablet or a placebo tablet; both treatments were followed after 30min by a single acute dose of 0.4g alcohol per kg bw. Serum estrogen levels were measured before and at three timepoints after alcohol intake. It is hypothesized that the acute decrease in estrogen sulphate and other markers of estrogens after alcohol intake is modulated by ibuprofen and by PPARG genotype.

NCT02463383
Conditions
  1. Breast Cancer
Interventions
  1. Drug: Ibuprofen Tab 400 MG
  2. Drug: Placebo tab
MeSH:Breast Neoplasms
HPO:Breast carcinoma Neoplasm of the breast

cholesterol lowering medicine); 7. being allergic to alcohol and/or Ibuprofen 8. smoking Breast Cancer Breast Neoplasms In a pilot human intervention trial we aimed to determine the effect of the PPARG Pro12Ala polymorphism and the PPARγ stimulator, Ibuprofen, on sex-hormone levels following alcohol intake in postmenopausal women. --- Pro12Ala ---

Seven women with PPARG Pro12Ala and 18 PPARG wildtype women were included.The study was performed as a randomised, double-blinded, placebo controlled 2x24 h crossover study. --- Pro12Ala ---

Primary Outcomes

Description: Plasma estrone sulfate concentration after acute ethanol intake by Ibuprofen intake and/or PPARG genotype

Measure: Serum estrone sulphate (pmol/l)

Time: from 40 min before to 90 min after alcohol consumption

Secondary Outcomes

Description: Plasma estrone decrease after acute ethanol intake by ibuprofen intake and/or PPARG genotype

Measure: Serum estrone (pmol/l)

Time: from 40 min before to 90 min after alcohol consumption

Description: Plasma SHBG concentration after acute ethanol ingestion by ibuprofen intake and/or PPARG genotype

Measure: Serum SHBG (nmol/l)

Time: from 40 min before to 90 min after alcohol consumption

Description: Plasma ethanol concentration after acute ethanol ingestion

Measure: Serum ethanol (g/l)

Time: from 40 min before to 90 min after alcohol consumption

Description: The plasma metabolome profile by time after alcohol intake

Measure: Serum metabolomics (relative metabolite intensity)

Time: from 40 min before to 24h after alcohol intake

Description: The urine metabolome profile by time after alcohol intake

Measure: Urine metabolomics (relative metabolite intensity)

Time: from 40 min before to 24h after alcohol intake

3 Gene-diet Interactions

Interactions between genes and environment, i.e. our inherited responses to environmental changes, may be crucial in the development of the common diseases. The investigators were the first to identify PPARG gene as risk gene for type 2 diabetes. The role of the Pro12Ala polymorphism in diabetes risk has also been verified in meta-analysis. However, this effect on seems to depend on intervention and age. In this study the effects of diets high with saturated fatty acids (SAFA) and polyunsaturated fatty acids (PUFA) are compared in subjects carrying either Pro12Pro or Ala12Ala genotype of the PPARG gene. Aim of the study: To test if subjects with Pro12Pro and Ala12Ala genotypes respond differentially to a diet supplemented with high saturated (SAFA) or polyunsaturated fat (PUFA). Hypotheses: 1. Specific: Subjects with the Ala12Ala genotype will be more sensitive to dietary modification, and therefore respond more favorably to PUFA diet 2. More general: Dietary instructions individually tailored according to the genotype would allow better treatment of obesity and diabetes

NCT01274091
Conditions
  1. Insulin Sensitivity
Interventions
  1. Other: PUFA-diet
  2. Other: SAFA-diet
MeSH:Insulin Resistance Hypersensitivity
HPO:Allergy Insulin resistance

The role of the Pro12Ala polymorphism in diabetes risk has also been verified in meta-analysis. --- Pro12Ala ---

Inclusion Criteria: - BMI >20kg/m2 <29kg/m2 - Pro12Pro and Ala12Ala genotypes of PPARG Pro12Ala polymorphism - participation to METSIM-study (METabolic Syndrome in Men, currently >10000 men included from the population living in Kuopio, principal investigator Markku Laakso) - normoglycemia Exclusion Criteria: - type 2 diabetes - other chronic diseases Inclusion Criteria: - BMI >20kg/m2 <29kg/m2 - Pro12Pro and Ala12Ala genotypes of PPARG Pro12Ala polymorphism - participation to METSIM-study (METabolic Syndrome in Men, currently >10000 men included from the population living in Kuopio, principal investigator Markku Laakso) - normoglycemia Exclusion Criteria: - type 2 diabetes - other chronic diseases Insulin Sensitivity Insulin Resistance Hypersensitivity Obesity and type 2 diabetes are increasing in all western countries, including Finland. --- Pro12Ala ---

Inclusion Criteria: - BMI >20kg/m2 <29kg/m2 - Pro12Pro and Ala12Ala genotypes of PPARG Pro12Ala polymorphism - participation to METSIM-study (METabolic Syndrome in Men, currently >10000 men included from the population living in Kuopio, principal investigator Markku Laakso) - normoglycemia Exclusion Criteria: - type 2 diabetes - other chronic diseases Inclusion Criteria: - BMI >20kg/m2 <29kg/m2 - Pro12Pro and Ala12Ala genotypes of PPARG Pro12Ala polymorphism - participation to METSIM-study (METabolic Syndrome in Men, currently >10000 men included from the population living in Kuopio, principal investigator Markku Laakso) - normoglycemia Exclusion Criteria: - type 2 diabetes - other chronic diseases Insulin Sensitivity Insulin Resistance Hypersensitivity Obesity and type 2 diabetes are increasing in all western countries, including Finland. --- Pro12Ala --- --- Pro12Ala ---

The role of the Pro12Ala polymorphism in diabetes risk has also been verified in meta-analysis. --- Pro12Ala ---

Based on these findings the investigators created in collaboration with Johan Auwerx an Pro12Ala animal model that demonstrated a differential effect of dietary fat composition depending on the genotype. --- Pro12Ala ---

However, an important conclusive proof that subjects selected based on their Pro12Ala genotype would respond differently to specifically tailored diet modification is still needed. --- Pro12Ala ---

Primary Outcomes

Description: insulin sensitivity measured by oral glucose tolerance test at the beginning of the first, randomised diet

Measure: insulin sensitivity

Time: week 0

Description: insulin sensitivty measured by oral glucose tolerance test after the first diet

Measure: insulin sensitivity

Time: week 8

Description: Insulin sensitivity measured by oral glucose tolerance test in the beginning of the second, randomised diet

Measure: insulin sensitivity

Time: week 10

Description: insulin sensitivity measured by oral glucose tolerance test after the second diet

Measure: insulin sensitivity

Time: week 18

Secondary Outcomes

Measure: peripheral blood mononuclear cell gene expression

Time: week 8

Measure: peripheral blood mononuclear cell gene expression

Time: week 18

Description: serum lipids, including serum lipidomics and fatty acid composition

Measure: serum lipids

Time: week 8

Description: serum lipids, including serum lipidomics and fatty acid composition

Measure: serum lipids

Time: week 18

Description: inflammation measured as serum cytokines and adipose tissue inflammation

Measure: inflammation

Time: week 8

Description: inflammation measured as serum cytokines and adipose tissue inflammation

Measure: inflammation

Time: week 18

Description: energy expenditure and the rates of substrate oxidation

Measure: energy expenditure

Time: week 8

Description: energy expenditure and the rates of substrate oxidation

Measure: energy expenditure

Time: week 18

Measure: insulin secretion

Time: week 8

Measure: insulin secretion

Time: week 18

Measure: adipose tissue gene expression

Time: week 8

Measure: adipose tissue gene expression

Time: week 18

4 Hypocaloric Diet With or Without Microencapsulated Fish Oil or Conjugated Linoleic Acid on Oxidative Stress and Cardiovascular Risk Factors in Women With Metabolic Syndrome Genotyped for Polymorphisms in the Genes PPAR Gamma 2 (Pro12Ala) and Adiponectin (G276T)

Our aim was to assess the effects of a hypocaloric diet, including diet fruit jelly with microencapsulated fish oil or conjugated linoleic acid or placebo, on anthropometry, body composition, insulin resistance and lipid profile in women with metabolic syndrome and genotype Pro12Pro in the PPAR gamma 2 gene.

NCT02183922
Conditions
  1. Insulin Resistance
  2. Oxidativ
  3. Oxidative Stress
  4. Lipid Profile
  5. Blood Pressure
  6. Anthropometric Measure
Interventions
  1. Dietary Supplement: microencapsulated conjugated linoleic acid
  2. Dietary Supplement: microencapsulated fish oil
  3. Dietary Supplement: light fruit jam
MeSH:Metabolic Syndrome Insulin Resistance
HPO:Insulin resistance

Hypocaloric Diet With or Without Microencapsulated Fish Oil or Conjugated Linoleic Acid on Oxidative Stress and Cardiovascular Risk Factors in Women With Metabolic Syndrome Genotyped for Polymorphisms in the Genes PPAR Gamma 2 (Pro12Ala) and Adiponectin (G276T). --- Pro12Ala ---

Primary Outcomes

Description: Plasma malondialdehyde levels

Measure: Oxidative stress biomarker

Time: Change from baseline at 12 weeks

Secondary Outcomes

Description: Homeostatic Model Assessment-Insulin Resistance index, adiponectin, glucose and insulin levels

Measure: Insulin resistance

Time: Change from baseline at 12 weeks

Description: Total cholesterol, LDL-cholesterol, VLDL-cholesterol, HDL-cholesterol and triglycerides serum levels and EPA, DHA and total conjugated linoleic acid plasma levels

Measure: Lipid profile

Time: Change from baseline at 12 weeks

Description: Body weight, body mass index and waist circumference

Measure: Anthropometric measures

Time: Change from baseline at 12 weeks

Description: Fat-free mass and fat mass

Measure: Body composition measures

Time: Change from baseline at 12 weeks

Description: Systolic blood pressure and diastolic blood pressure

Measure: Blood pressure

Time: Change from baseline at 12 weeks

5 Influence of Polymorphysms in the Fto and Ppar Gen Genes, Systemic Inflammation and Oxidative Stress in the Magnitude of Weight Loss Induced by Intermittent or Moderate Continuous High Intensity Training Programs

The study focuses on the influence of polymorphism in the FTO genes rs9939609 and PPARᵧ Pro12Ala, oxidative stress and systemic inflammation on changes in body composition and rest metabolism induced by HIIT and continuous aerobic programs in obese or overweight individuals.

NCT03568773
Conditions
  1. Overweight and Obesity
  2. Chronic Disease
Interventions
  1. Other: High-intensity interval training
  2. Other: Aerobic exercise moderate intensity
  3. Other: Control Group
MeSH:Overweight Weight Loss Chronic Disease
HPO:Decreased body weight Weight loss

Influence of Genetic and Physiological in Weight Loss The study focuses on the influence of polymorphism in the FTO genes rs9939609 and PPARᵧ Pro12Ala, oxidative stress and systemic inflammation on changes in body composition and rest metabolism induced by HIIT and continuous aerobic programs in obese or overweight individuals. --- Pro12Ala ---

Thus, the objective of the study is to analyze the influence of polymorphism in the genes FTO rs9939609 and PPARᵧ Pro12Ala, oxidative stress and systemic inflammation on changes in body composition and rest metabolism induced by continuous and continuous aerobic programs. --- Pro12Ala ---

Primary Outcomes

Description: The procedure used for analysis is done using a Dual Energy Radiological Absortiometry (DEXA) equipment. The measurement of the body fat and fat free mass percentage measure is obtained by means of a full body scan using the LUNAR PRODIGY DF + 14.319 Radiation (Madison, WI) brand device, following manufacturer's protocols. The body mass is evaluated by means of a balance (Sanny®, São Bernardo do Campo - São Paulo, Brazil), with the volunteer barefoot and in orthostatic position using a Toledo scale sensitive to 100 g. The stature is evaluated by a stadiometer with a tape calibrated at 0.1 of the same mark. Waist circumference and other body perimeters are measured with a 0.1 cm Anthropometric Tape (Sanny®, São Bernardo do Campo - São Paulo, Brazil). Weight and height data are used to calculate BMI using the equation adopted by the WHO: BMI = (Weight / (Stature) 2).

Measure: Body Composition. The changes are being evaluated.

Time: Before the intervention protocol and 48 hours immediately after the last exercise session.

Secondary Outcomes

Description: The metabolic rate was measured using a gas spirometry analyzer. After having fasted from 8:00 pm the previous day, the volunteers were referred to the laboratory shortly after the awakening and were invited to remain seated in a thermoneutral environment for 30 minutes. For the next 30 minutes, VO2, VCO2, VE and RER were monitored until variations of no more than 10% occurred when five-minute intervals were compared. Once this steady state was obtained, these variables were recorded for five minutes. The calculation of the resting metabolic rate is done according to Macdonald (1990).

Measure: Metabolic Rate of Rest. The changes are being evaluated.

Time: Before the intervention protocol and 48 hours immediately after the last exercise session.

Description: Collections of 10 ml of blood from the antecubital vein will be performed early in the morning, with fasting from 10 to 12 hours. The collections will be done 24 hours before, in the 6th week and after the intervention period. They will remain seated for 10 minutes for subsequent collection. Five milliliters of blood will be placed in EDTA-containing test tubes, protected from light and gently homogenized by inversion. The other 5ml will be placed in tubes without anticoagulants. They will then be centrifuged at 3,000 rpm for 10 min. The plasma or serum will be separated, placed in eppendorf tubes and refrigerated at -20 ° C until analysis. All analyzes will be carried out using a commercial kit of the Labtest brand (Minas Gerais-Brazil). The analyzes will be carried out on serum samples using commercial Labtest kits (Minas Gerais, Brazil), following the manufacturer's recommendations and on a Labmax 240 premium automatic analyzer (Lagoa Santa-MG, Brazil).

Measure: Lipid and Glycemic Profile. The changes are being evaluated.

Time: The collections will be done 24 hours before, in the 6th week and 48 hours after the end of the intervention.

Description: 10 ml of blood will be collected in the beginning of the morning, with fasting of 10 to 12 hours, being done 24 hours before, in the 6th week and after the intervention period. Five milliliters of blood will be placed in test tubes containing EDTA and protected from light and the other 5ml will be placed in tubes without anticoagulants and centrifuged at 3,000 rpm for 10 min. The plasma or serum will be separated, placed in eppendorf tubes and refrigerated at -20 ° C until analyzed by a commercial kit of the Labtest brand (Minas Gerais, Brazil). For this, 250 μl of sample will be added to KCl and incubated in a water bath (37 ° / 60 minutes). The mixture will be precipitated with 35% AA perchloric acid and centrifuged at 14,000 rpm for 10 minutes at 4 ° C. The supernatant will be transferred to eppendorfs and 400μl of 0.6% thiobarbituric acid is added and incubated at 95-100 ° C for 30minutes. The material will be read in a spectrophotometer at a wavelength of 532nm.

Measure: Oxidative stress (Malondialdehyde). The changes are being evaluated.

Time: The collections will be done 24 hours before, in the 6th week and 48 hours after the end of the intervention.

Description: 10 ml of blood will be collected in the beginning of the morning, with fasting of 10 to 12 hours, being done 24 hours before, in the 6th week and after the intervention period. Five milliliters of blood will be placed in test tubes containing EDTA and protected from light and the other 5ml will be placed in tubes without anticoagulants and centrifuged at 3,000 rpm for 10 min. The plasma or serum will be separated, placed in eppendorf tubes and refrigerated at -20 ° C until analyzed by a commercial kit of the Labtest brand (Minas Gerais, Brazil). The evaluation of the total antioxidant capacity will be performed through DPPH. For analysis, 100 μl of plasma will be added to 3.9 ml of vortexed DPPH solution, set to stand for 30 minutes and then centrifuged at 10,000 rpm for 15 minutes at 20 ° C. The supernatant will be used for spectrophotometer reading at 515 nm wavelength, using distilled white water. The result will be expressed as a percentage of antioxidant activity.

Measure: Oxidative stress (Total antioxidant capacity). The changes are being evaluated.

Time: The collections will be done 24 hours before, in the 6th week and 48 hours after the end of the intervention.

Description: 10 ml of blood will be collected in the beginning of the morning, with fasting of 10 to 12 hours, being done 24 hours before, in the 6th week and after the intervention period. Five milliliters of blood will be placed in test tubes containing EDTA and protected from light and the other 5ml will be placed in tubes without anticoagulants and centrifuged at 3,000 rpm for 10 min. The plasma or serum will be separated, placed in eppendorf tubes and refrigerated at -20 ° C until analyzed by a commercial kit of the Labtest brand (Minas Gerais, Brazil). The concentration of hs-CRP will be quantified by immunoturbidimetry in serum samples. Calibration will use the Calibra Calibrator from Labtest (Calibra Plus PCR-ultra - Ref-345). Absorbance will be obtained on the Labmax 240 premium automatic analyzer at 540 nm wavelength. The concentrations of hs-CRP will be determined by the commercial kit (Labtest, Minas Gerais, Brazil) according to the manufacturer's instructions.

Measure: Systemic Inflammation (Plasma ultra-sensitive C-reactive protein). The changes are being evaluated.

Time: The collections will be done 24 hours before, in the 6th week and 48 hours after the end of the intervention.

Description: 10 ml of blood will be collected in the beginning of the morning, with fasting of 10 to 12 hours, being done 24 hours before, in the 6th week and after the intervention period. Five milliliters of blood will be placed in test tubes containing EDTA and protected from light and the other 5ml will be placed in tubes without anticoagulants and centrifuged at 3,000 rpm for 10 min. The plasma or serum will be separated, placed in eppendorf tubes and refrigerated at -20 ° C until analyzed by a commercial kit of the Labtest brand (Minas Gerais, Brazil). The A1GPA concentration will be quantified by immunoturbidimetry using the commercial kit (Labtest, Minas Gerais, Brazil) as per manufacturer's instructions. Calibration will use the Calibra Calibrator from Labtest (Calibra Plus Protein - Ref-346). The absorbance will be obtained in the Labmax 240 premium automatic analyzer (Lagoa Santa-MG, Brazil), at wavelength 340nm.

Measure: Systemic Inflammation (Analysis of alpha-1-glycoprotein acid). The changes are being evaluated.

Time: The collections will be done 24 hours before, in the 6th week and 48 hours after the end of the intervention.

Description: Oral cell samples were collected through a mouthwash for 60 seconds of 5 ml of 3% sucrose solution. The resulting contents of the mouthwash were transferred to a 15 ml tube, which immediately afterwards was placed in a solution of TNE (17 mM Tris-HCl pH 8.0, 50 mM NaCl and 7 mM EDTA), diluted to 66% alcohol and autoclaved distilled water.After this, the extraction and genotyping process followed the recommendations of Saiki et al. (1985)

Measure: DNA Extraction and Genotyping

Time: The genetic collection will be made in the 6th week of the intervention.

6 Modulation of Insulin Secretion and Insulin Sensitivity in Bangladeshi Type 2 Diabetic Subjects by an Insulin Sensitizer Pioglitazone and T2DM Association With PPARG Gene Polymorphism.

- The present study was undertaken to assess the efficacy and safety of two different insulin sensitizers (namely Pioglitazone and Metformin) among subjects with type 2 diabetes mellitus (T2DM) in Bangladesh. - A prospective, double-blind, single group, 'within-subject' designed clinical trial of 77 diagnosed T2DM patients out of 130 patients with glycosylated haemoglobin (HbA1c) ≥7.2±1.5%, aged 46±6.4 years and registered for diabetes treatment in Bangladesh Institute of Research and Rehabilitation in Diabetes Endocrine and Metabolic Disorders (BIRDEM) was carried out. - The study was conducted between November 2008 and September 2010. - Baseline data, included case history of the patients,anthropometric measurement, biomedical parameters psychosocial factors, were collected from each subject and then enrolled to receive treatment with 001 drug once daily for three months, then the patients were left for wash out with metformin 850mg once daily for one month; then they received 002 drug once daily for further three months. - Dietary chart was remained as before. - DNA was isolated by Chelex method using the primers and control DNA,restriction Digestion Enzyme Endonuclease Hae 111 for genotyping PPARγ-(Peroxisome Proliferator Activated Receptor gamma)Pro12Pro - (Proline12Proline)/Pro12Ala-(Proline12 Alanine))/Ala12Ala-(Alanine12Alanine). - The blinded drugs were decoded after analyzing results, 001 tablet was pioglitazone (30 mg once daily) and 002 tablets was metformin (850mg once daily). Bio-medical outcomes were measured to assess the efficacy of both the drugs each month. After finishing the treatment period the effects of two drugs were compared using SPSS.And the association between the pioglitazone drug effects and genetic polymorphism was also assessed. - The metformin effects was assessed also using the response rate of HbA1c <7.0% after 3 months treatment to the patients.

NCT01589445
Conditions
  1. Type 2 Diabetes Mellitus
Interventions
  1. Drug: Pioglitazone hydrochloride
  2. Drug: Metformin hydrochloride
MeSH:Diabetes Mellitus Diabetes Mellitus, Type 2
HPO:Diabetes mellitus Type II diabetes mellitus

- DNA was isolated by Chelex method using the primers and control DNA,restriction Digestion Enzyme Endonuclease Hae 111 for genotyping PPARγ-(Peroxisome Proliferator Activated Receptor gamma)Pro12Pro - (Proline12Proline)/Pro12Ala-(Proline12 Alanine))/Ala12Ala-(Alanine12Alanine). - The blinded drugs were decoded after analyzing results, 001 tablet was pioglitazone (30 mg once daily) and 002 tablets was metformin (850mg once daily). --- Pro12Ala ---

We used a published document to select the primers for genotyping PPARγ Pro12Ala/Pro12Pro. --- Pro12Ala ---

The primers for the Pro12Ala SNP genotype, we amplified exon B using the reverse primer 5' CTG GAA GAC AAA CTA CAA GAG 3' and the forward primer 5' ACT CTG GGA GAT TCT CCT ATT GGC 3'. --- Pro12Ala ---

III.Control DNA: Professor Colin Palmer Laboratory, Biomedical Research Institute ,University of Dundee Medical School, University of Dundee, Scotland, UK sent six control samples of 3 types control DNA genotyped for PPARG SNP rs 1801282 (Pro12Ala). --- Pro12Ala ---

5) List of Abbreviations AEs Adverse Events ALT Alanine aminotransferase BMI Body Mass Index BMRC Bangladesh Medical Research Council BIRDEM Bangladesh Institute of Research and Rehabilitation in Diabetes,Endocrine and Metabolic Disorder BP Blood Pressure DNA Deoxynucleic Acid DBP Diastolic Blood Pressure DM Diabetes Mellitus EASD European Association for the Study of Diabetes EDTA Ethylene Diamine Tetra Acetic acid ELISA Enzyme Linked Immunosorbent Assay FBG/FSG Fasting Blood Glucose/Fasting Serum Glucose FSI Fasting Serum Insulin 2hBG 2 hours Blood Glucose HbA1c Glycosylated Haemoglobin HOMA percent B Homeostasis Model Assessment percentage of beta cell function HOMA percent S Homeostasis Model Assessment percentage of sensitivity HOMA IR Homeostasis Model Assessment Insulin Resistance HDL-C High Density Lipid Cholesterol IU/L International Unit/Litre LDL-C Low Density Lipid Cholesterol ml millilitre mm millimetre mg/dl milligram/ decilitre MLR Multiple Logistic Regression OPD Outdoor Patient Department OMIM Online Mendelian Inheritance in Man OR Odds Ratio PPARγ Peroxisome Proliferator Activated Receptor gamma Pro12Pro Proline12Proline Pro12Ala Proline 12 Alanine Ala12Ala Alanine12Alanine PCR Polymerase Chain Reaction QUICKI Quantitative Insulin sensitivity Check Index SD Standard Deviation SPSS Statistical Package for Social Science SBP Systolic Blood Pressure TC Total Cholesterol TG Triglyceride T2DM Type 2 Diabetes Mellitus TZD Thiazolidinedione µl Microliter WHO World Health Organization --- Pro12Ala ---

Primary Outcomes

Description: Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin.

Measure: Comparison of Changes in Fasting Serum Glucose (FSG)With Pioglitazone and Metformin

Time: 3 months for each drug

Description: Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin.

Measure: Comparison of Changes in Glycosylated Hemoglobin (HbA1c)With Pioglitazone and Metformin

Time: 3 months for each drug

Description: Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin. Analysis 1: Homeostasis Model Assessment Insulin Resistance(HOMA IR) Analysis 2: Quantitative Insulin sensitivity Check Index(QUICKI)

Measure: Comparison of Changes in Insulin Levels (HOMA IR,QUICKI) With Pioglitazone and Metformin

Time: 3 months for each drug

Description: Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin. Analysis 1: Homeostatic Model Assessment of Beta cell function(HOMA percent B) Analysis 2: Homeostatic Model Assessment of Insulin Sensitivity (Homa percent S)

Measure: Comparison of Changes in HOMA Percent B and HOMA Percent S With Pioglitazone and Metformin

Time: 3 months for each drug

Description: Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin.

Measure: Comparison of Changes in Fasting Serum Insulin (FSI)With Pioglitazone and Metformin

Time: 3 months for each drug

Secondary Outcomes

Description: Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin. Analysis 1:Total Cholesterol(TC) Analysis 2:Triglyceride(TG) Analysis 3:High Density Lipoprotein(HDL) Analysis 4:Low Density Lipoprotein(LDL)

Measure: Comparison of Changes in Lipid Profiles With Pioglitazone and Metformin

Time: 3 months for each drug


HPO Nodes


HP:0000819: Diabetes mellitus
Genes 567
LHX1 BLK MERTK PROK2 UBR1 MTHFR MAGEL2 UBR1 NODAL ND6 NDUFS4 RETN TRNL1 MAGEL2 TRNK POLA1 GTF2IRD1 TRNC SLC7A14 RP1 HNF1A CTRC CAVIN1 BRAF RTL1 BBS1 FGFR1 PDE6A CNGB1 LIPE ZNF408 HNF1B TRNS2 GCK HNF4A SHH CTNNB1 BMP2 HYMAI DCAF17 PTF1A TOPORS CFTR KCNJ11 OCA2 SPINK1 ENPP1 AMACR MTNR1B ND1 TCF4 RBP3 ELMO2 PRSS1 SAG MAPK8IP1 PAX4 TP53 NDN FUZ DLL1 PROKR2 RTL1 PCNT SIM1 CLIP2 ABCC8 ELN KCTD1 PIK3R1 TTC7A IRS2 IGF1R GNAS EDA2R ABCC8 PIK3R1 OFD1 PLIN1 CNBP PEX10 COX1 ELN KLF11 SLC19A2 TULP1 LMNB2 PEX6 AKT2 NDUFV2 NDUFAF5 HFE GLIS3 SNRNP200 INS FOXP3 HMGA1 LIPE TRMT10A XRCC4 NEUROD1 HESX1 PTRH2 MTHFR PDE4D NSMCE2 GLRX5 HAMP HNF1B TRNW NPAP1 PPARG SUFU RP9 IFT88 IRS1 RHO PLAGL1 BLM TDGF1 PRSS1 AKT2 PDX1 TRNW ARL3 RPGR HNF4A GPD2 LMNA PDE6B USB1 MEG3 NDUFB10 SNORD115-1 ZNF513 DNAJC21 WFS1 XRCC4 SOX3 SLC25A4 IL2RA RLBP1 NDUFA11 MKRN3-AS1 PRKAR1A NDUFS3 HJV TKT FAM161A GCK LIG4 ROM1 GJA1 TRNS1 TRNH BLM COX1 SNRPN TTC8 PDE8B AGPAT2 TREX1 TINF2 LMNA AIP DCAF17 ND2 IFIH1 BRCA1 IDH3B DNM1L PDE4D GJB4 USP8 BEST1 PWRN1 GATA6 IPW RP2 ND1 GATA6 ARNT2 SLC19A2 APPL1 ND4 PDX1 FOXRED1 TRNF STAT1 INSR IMPDH1 GATA3 SLC2A2 DHDDS EIF2S3 IL6 CNOT1 HLA-DRB1 GPR101 PPARG TRNQ GCK RPE65 ATP6 SNRPN ZBTB20 CISD2 TRNS1 INS CAT SPATA7 RAC1 NDUFB11 HNF4A PALLD RNASEH2B TRNE XRCC4 NDUFAF8 ARHGEF18 STAT1 CYTB LIPC GCK EDA HBB MMP2 OCA2 ZFYVE26 FOXP3 TRNF KLHL7 ALMS1 CP SEMA4A USH2A FGF8 SBDS HBB CERKL INS CYP19A1 APPL1 RNASEH2A TRNS2 ZFP57 GJA1 CDON TIMMDC1 FGFR1 POLR3A AGPAT2 MAGEL2 HNF4A ZFP57 ND1 FOXH1 PRPF8 IARS1 SPINK1 PAX4 HNF1A NDUFAF3 GAS1 CDHR1 NPM1 STUB1 PWAR1 CPA1 KCNJ11 EYS HNF1A IL18BP DISP1 PDX1 VANGL1 CEP19 POLG2 CARS1 CLRN1 HNF1B NDN MKRN3 KCNJ11 BSCL2 OCA2 ZIC2 SRP54 CAV1 CFTR DHX38 IFT172 PPARG FXN WRN PLIN1 INSR WRN NDUFB9 WFS1 DLK1 MMP14 LEP PTPN1 ARL2BP PRCD EIF2AK3 CIDEC ITCH PRPH2 CDH23 NEK2 ATM PTRH2 TTPA SLC29A3 NDN NKX2-5 PDE11A NDUFS8 REEP6 AGBL5 ZMPSTE24 PROM1 NDUFS6 TRNK AEBP1 PRSS2 LEPR TBL2 BBS2 COL2A1 LRP6 GCK POC1A PDX1 CTNS CORIN PNPLA2 IFT140 PPP1R15B FOXP1 RFC2 CTRC NDUFS1 LMNA PTPN22 SNORD116-1 LEPR RNASEH2C RRM2B LIMK1 BLK NOTCH3 HMGA2 TWNK CNOT1 FLT1 NEUROD1 KCNJ11 ABCA4 IDH3A CDKN2A NDUFA6 KIZ ABCC8 ATM BRCA2 ND6 NDUFS2 LMNA ND3 IMPG2 MST1 TGIF1 PAX4 WFS1 KCNJ11 FXN NOP10 KDSR MEG3 OPA1 TRNQ TUB HYMAI CISD2 DNAJC3 STOX1 IL2RA NDUFS7 NDUFA1 NUBPL BSCL2 PEX1 COX2 SPINK1 PAX4 RTEL1 INS NDUFB3 COX3 CASR SMAD4 GCK ITPR3 SNRPN HBB POLG NDP OTX2 SLC12A3 TRNE PNPLA6 APOA5 LMNA GCK STAT3 POMGNT1 PDE6G WFS1 GLI2 CLCNKB ALMS1 AHI1 LEMD3 HNF1A BBS2 GJB3 ABCC8 TP53 ITCH RP1L1 PLAGL1 LMNA PALB2 NDUFAF2 CRB1 CNGA1 DMPK PPP1R3A PNPLA2 PTCH1 WRAP53 STAT3 SAMHD1 HYMAI NDUFV1 HGSNAT HNF1B HNF4A SLC29A3 ARMC5 CCDC28B KRAS GTF2I MAGEL2 TWNK HNF1A PRPF3 VANGL2 GUCA1B TMEM126B EIF2AK3 TRNV TERT KCNJ11 PTF1A FBN1 IGF2BP2 ARL6 COX2 HFE AIP NR2E3 PCARE MAK KCNJ11 HLA-DQB1 ABCC8 NDN PLCD1 NDUFAF4 POLD1 CEL VANGL2 NSMCE2 PSTPIP1 SOX2 SIX3 ND5 TCF7L2 NEUROG3 MKKS CAV1 SMPD4 SLC16A2 PDX1 FSCN2 PRKACA CA4 MC4R TRNL1 PRKACA CTC1 ADA2 PRSS2 SNRPN RGR AHR DMXL2 PRPF4 KLF11 ADAR SARS2 MOG MEN1 HERC2 CP ND5 INSR LRAT MAFA EFL1 HNF1A TERC FOXC2 SCAPER FOS CRX DLK1 KIAA1549 MAGEL2 MLXIPL DNAJC3 PRPF31 AIRE PRPF6 PARN DKC1 NEUROD1 APOE PPARG WFS1 ABCC8 LRBA AR NRL NHP2 GPR35 BAZ1B RDH12 ERGIC1 ARL6 NDUFAF1 SLC30A8 PDX1 COX3 ABCC8 INS C8ORF37 IER3IP1 PRKAR1A KCNJ11 CEL INS TRNL1
HP:0001513: Obesity
Genes 522
NTRK2 BLK MERTK SH2B1 PROK2 MAGEL2 FEZF1 MEGF8 ALG13 CUL4B MAGEL2 BBIP1 AGTR2 ZNF711 GTF2IRD1 SLC9A7 SLC7A14 RP1 OFD1 CEP164 PHF21A FRMPD4 BRAF RTL1 PHF6 BBS1 FGFR3 CNNM2 GNAS PDE6A CNGB1 ARVCF HACE1 LIPE ZNF408 HNF4A WDR11 CTNNB1 EIF2S3 RREB1 TOPORS IFT172 OCA2 IFT172 LZTFL1 RBP3 ERMARD ARX SAG TMEM43 PAX4 ATP10A CEP290 UBE3A NDN NDN SYNE1 BBS10 H6PD DMD RAB39B FLRT3 PROKR2 RTL1 PCNT SIM1 TTC8 CLIP2 ABCC8 ELN TBX3 IGF1R HIRA GP1BB GNAS VPS13B OFD1 BAP1 EMD ADNP SEC24C ELN KLF11 TULP1 KIDINS220 GNAS KIF7 RNPC3 GHR SNRNP200 CLCN4 P4HTM AKT2 PRMT7 IFT74 GDI1 NEUROD1 SIN3A RTL1 HESX1 PTCHD1 C8ORF37 PDE4D WNT4 CREBBP NPAP1 PDE4D VPS13B SDC3 BBS4 SLC7A7 ARL6 RP9 IFT88 TMEM67 SLC10A7 RHO MYT1L BLM PDX1 NPHP1 ARL3 IFT27 RPGR FGFR1 PDE6B DLK1 ATP6AP2 MEG3 MC3R ZNF365 SNORD115-1 ZNF513 SRY BBS10 SOX3 SPRY4 RLBP1 RAB23 MKRN3-AS1 TSPAN7 ACADVL PDSS1 FAM161A FTSJ1 ROM1 PCSK1 SNRPN TTC8 FGF17 MAPK8IP3 SH2B1 IGF1 ZNF81 HUWE1 IDH3B BBIP1 PDE4D USP8 CACNA1S EGF FHL1 USP8 BEST1 KMT2A GNAS PWRN1 TBX3 IPW RP2 WDPCP KMT2D XYLT1 BBS9 ARNT2 APPL1 SUFU FGF8 PAK3 IMPDH1 SNRPN MEGF8 DHDDS EIF2S3 BAP1 GCK RAI1 MCM3AP SH2B1 RPE65 SNRPN ZBTB20 SMARCB1 NKAP SPATA7 HDAC8 P2RY11 WT1 XRCC4 PRMT7 ARHGEF18 BBS9 POMC HLA-DQB1 HS6ST1 TRIM32 WT1 CREBBP CANT1 OCA2 NR0B2 THOC2 LMNA KLHL7 STX16 SDCCAG8 RAD21 ALMS1 SEMA4A USH2A CERKL FMR1 TRAF7 CYP19A1 PAX6 TNFSF4 PTEN FGFR1 BBS7 DDX6 AFF4 MAGEL2 ACSL4 CHD7 CCDC141 PCNT PRPF8 MID2 GABRA3 BBS7 HNF1A KDM6A CDHR1 SNRPN HLA-DRB1 DYNC2I2 UBE3A TRIM32 MAGEL2 PWAR1 TRIP12 KCNJ11 EYS SYNE2 ARL6 SHOX TACR3 CNKSR2 CEP19 CLRN1 NIPBL SMAD4 NDN MTTP TCF20 USP9X MKRN3 ADRB3 SETD2 OCA2 MRAP2 ENPP1 DHX38 IFT172 ADRB2 CARTPT CUL4B SMO SNRPN DLK1 LEP CYP7A1 ARL2BP MAN1B1 PRCD IL1RAPL1 PRPH2 CDH23 NEK2 NSMF NDN REEP6 JMJD1C CREBBP AGBL5 PDGFB PROM1 TBX1 MTFMT MECP2 MAN1B1 GNAS LEPR TBL2 POMC SIM1 TBX1 BBS2 PIGT SDCCAG8 SPG11 EHMT1 IFT140 PNKP PSMD12 RFC2 GATA4 SNORD116-1 LEPR MKKS LMNA LIMK1 BLK MED12 BBS12 MKS1 PCSK1 SMARCE1 ABCA4 IDH3A EP300 BBS1 KIZ ATRX BBS5 BDNF TRAPPC9 IMPG2 HESX1 MKS1 PDE11A SIN3A SOX10 MAGEL2 SYP RPS6KA3 TBX1 ZNF41 KISS1R MEG3 STEEP1 IQSEC2 TRAF3IP1 TUB TAF1 ATRX PRDM16 UBE3A C8ORF37 DEAF1 LEP AFF4 UBE3A RAB23 DNMT3A COA3 USP27X IQSEC2 GHRL BPTF LAS1L INS ARL13B PHIP EXOC6B MECP2 SNRPN RERE OTX2 RBMX SIM1 PNPLA6 SKI WAC DPYD POGZ DCC IL17RD POMGNT1 PDE6G HDAC4 SLC25A4 ALMS1 POU3F4 AKT2 PAX6 CCDC141 TRAPPC9 SEMA3A AHI1 MC4R HACE1 TERT BBS2 PKDCC PIK3CA GABRD ARMC5 RP1L1 CRB1 CNGA1 EHMT1 ANOS1 NF2 LARS2 UFD1 HGSNAT SH3KBP1 ARMC5 UCP3 CCDC28B GTF2I MAGEL2 HSD11B1 SHANK3 BBS5 PRPF3 GUCA1B INPP5E PPARG IGFALS FTO GNAS SETD5 ARL6 BBS4 RAI1 XYLT1 TTC8 NR2E3 PCARE IFT172 MAK MEG3 ADCY3 UPF3B SMC1A NDN PROK2 SOX2 DUSP6 POMC HCFC1 COL10A1 MKKS SMC3 FSCN2 ADNP GNAS-AS1 CA4 ALB MC4R NIN SNRPN IFT27 AKT1 RGR AHR PRPF4 MOG HDAC8 HERC2 ZNF711 TUB NDNF LRAT CEP290 DLG3 DYRK1B SCAPER CRX EP300 DLK1 KIAA1549 KCNJ18 MAGEL2 PROKR2 MLXIPL KIDINS220 FXR1 LZTFL1 BBS12 PRPF31 IQSEC2 PRPF6 AGRP HCRT BBS2 MOG APOE GNAS NRL PRKAR1A BAZ1B LAS1L RDH12 ARL6 COMT HDAC8 FLII ARHGEF6 FOXP1 AIP KCNAB2 C8ORF37 PHF6 GNAS RPS6KA3 PRKAR1A CTSH CEL OCA2
Protein Mutations 3
G20210A P12A W64R
HP:0001824: Weight loss
Genes 337
NABP1 PTPN22 MC2R NOS1 LMNA DNAJC13 GALC IGH HSPG2 RPS20 NPM1 HLCS VPS35 ZBTB16 RHBDF2 CUL4B CDKN2C EWSR1 VHL SLC39A4 SDHD POU6F2 RRM2B SIGMAR1 FANCM SCNN1A IKZF1 PRNP AKT1 TP53 MALT1 KCNJ11 ATM IL6 MPL TCF4 PALB2 GALT IL12B TSHR HLA-DPA1 KRT10 EPCAM JAK2 EDN3 TP53 CFTR IL10 RAD51C NAB2 POLG FANCE GCK REST TGFBR2 KRT1 B2M TGFB1 SDHD GBA IGH SCNN1B CHEK2 H19 ATRIP DCTN1 BCOR SDHB GATA4 SLC9A6 FANCC SNCA TRAIP RARA BRIP1 PIK3R1 MEN1 ERCC3 TXNRD2 CACNA1S RB1 ERCC4 NRTN BRCA1 MPL PTEN CDKN2A PIK3CA PMS1 CDKN2B CCND1 FANCG BRCA2 HLA-DPB1 POLG MLX TRIP13 AVP PMS2 FOXP3 MST1 SLC22A4 CBL DLST COL12A1 BRCA2 TTR MAFB PLA2G6 SRSF2 TRIM28 DNMT3A EDNRB RBBP8 THPO PCNT SDHAF1 CRLF1 KDSR STAT5B SCNN1G SDHB CTLA4 ECE1 EPAS1 TET2 MRAP SPG11 COL6A2 SNCA CDH23 SUCLA2 GBA DAXX MLH1 BCL2 DIS3L2 FOXP1 KRAS IL23R STAT3 SLC6A8 PRKAR1A RRM2B TYMP FANCD2 RNF168 ERCC2 EIF4G1 LRRK2 SMAD4 GNPTAB IGH NDP NBN LPIN2 MAD2L2 NF1 SDHAF2 HLA-DQB1 CENPJ FANCL CALR FANCB WT1 UNC80 FAN1 PRTN3 TET2 VPS13A NOD2 HLA-B SEMA3D PRNP SDHD SLX4 SDHD GJA1 GIGYF2 TLR4 PRNP FLI1 GJB3 ABCC8 TP53 TSHR GATA2 SDHC BRCA2 STAR SEMA4A SDHA IRF2BP2 PALB2 TET2 IFNGR1 BRCA1 ASXL1 PSAP GJB4 CACNA1S KIF1B TRPV4 STAT3 FANCF RET PTEN LMNA ALS2 KCNJ18 UBE2T KRAS JAK2 ACAT1 STAT4 PTEN HLA-DRB1 ACADM C4A EIF2AK3 TMEM127 RUNX1 ZMPSTE24 MAX CCND1 CCR1 MDH2 HTT UBAC2 BTK SLC2A3 MSH6 HFE BIRC3 UNC80 MEFV TP53 BMPR1A PLK4 PALLD FAS MECP2 HLA-DQB1 BCL10 ERCC4 BCL6 NUMA1 PADI4 RAD51 JAK2 SCNN1G MSH2 F5 XRCC2 CNTNAP1 PDX1 FANCI COL6A3 ERAP1 SDHC POLG CDC73 JAK2 HLA-DRB1 PTPN22 KIF1B PML TRIM28 FIP1L1 MLH3 STAT6 RFWD3 HTT HAVCR2 HMGCL TBL1XR1 RET FH KLRC4 PTPN22 ERCC4 HLA-B KCNJ18 BMPR1A HLA-DRB1 SDHB MPL ATRX ATP7B AK2 IL10 FANCA VHL HLA-DRB1 LRP12 TRIM37 GABRA3 IL12A-AS1 SCNN1A GPC3 NNT SCNN1B TYMP CDKN1B DCTN1 ATR GPR35 CIITA HLA-DQA1 NOD2 CDKN1A CENPE FUS WT1 SLC25A11 RET JPH3 SDHB JPH3 IL12A WT1 CD244 LIPA CEP152 SLC11A1 COL6A1 GDNF ERCC5 SEMA3C NFKBIL1 BTNL2 NALCN INS HLA-B CYP24A1 PANK2 SDHA
Protein Mutations 2
I148M P12A