SNPMiner Trials by Shray Alag


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Report for Mutation I148M

Developed by Shray Alag, 2020.
SNP Clinical Trial Gene

There are 4 clinical trials

Clinical Trials


1 Effects of Overfeeding Followed by Weight Loss on Liver Fat Content and Adipose Tissue Inflammation

A. BACKGROUND Accumulation of fat in the liver due to non-alcoholic causes (NAFLD) is associated with hepatic insulin resistance, which impairs the ability of insulin to inhibit the production of glucose and VLDL . This leads to increases in serum glucose, insulin and triglyceride concentrations as well as hyperinsulinemia. Recent epidemiologic studies have shown that a major reason for the metabolic syndrome as well as the accompanying increased risk of cardiovascular disease and type 2 diabetes is overconsumption of simple sugars. The investigators have recently shown that overeating simple sugars (1000 extra calories/day, "CANDY" diet) increases liver fat content by 30% within 3 weeks (4), and recapitulates features of the metabolic syndrome such as hypertriglyceridemia and a low HDL cholesterol concentration. The fatty acids in intrahepatocellular triglycerides may originate from peripheral lipolysis, de novo lipogenesis, uptake of chylomicron remnants by the liver and from hepatic uptake of fatty acids released during intravascular hydrolysis of triglyceride-rich lipoproteins (the spillover pathway). A classic study using stable isotope methodology by the group of Elisabeth Parks showed that in subjects with NAFLD, the excess intrahepatocellular triglycerides originate from peripheral lipolysis and de novo lipogenesis. It is well-established that ingestion of a high carbohydrate as compared to high fat diet stimulates de novo lipogenesis in humans. Meta-analyses comparing isocaloric high fat and high carbohydrate diets have shown that high carbohydrate but not high fat diets increase increase serum triglycerides and lower HDL cholesterol. Since hypertriglyceridemia results from overproduction of VLDL from the liver, these data suggest the composition of the diet influences hepatic lipid metabolism. Whether this is because overfeeding fat leads to preferential deposition of fat in adipose tissue while high carbohydrate diets induce a relative greater increase in liver fat is unknown. There are no previous studies comparing effects of chronic overfeeding of fat as compared to carbohydrate on liver fat or and the sources of intrahepatic fatty acids. A common polymorphism in PNPLA3 at rs738409 (adiponutrin) gene is associated with a markedly increase liver fat content. This finding has been replicated in at least 20 studies across the world. The investigators have shown that PNPLA3 is regulated by the carbohydrate response element binding protein 1. Mice overexpressing the human I148M PNPLA3 variant in the liver exhibit an increase in liver triglycerides and cholesteryl esters on a high sucrose but not high fat diet. These data suggest that overfeeding a high carbohydrate as compared to a high fat diet may increase liver fat more in subjects carrying the I148M allele than in non-carriers. B. HYPOTHESIS The investigators hypothesize that overfeeding a high fat as compared to an isocaloric high carbohydrate diet influences the source of intrahepatocellular triglycerides. During a high fat diet, relatively more of intrahepatocellular triglycerides originate from peripheral lipolysis and less from DNL than during a high carbohydrate diet in the face of a similar increase in liver fat. It is also possible given the lack of previous overfeeding data comparing 2 different overfeeding diets that the high fat diet induces a smaller increase in liver fat than a high carbohydrate diet even in the face of an identical increase in caloric intake because a greater fraction of ingested fat is channeled to adipose tissue than the liver. The investigators also hypothesize that liver fat may increase more in carriers than non-carriers of the I148M variant in PNPLA3 during a high carbohydrate than a high fat diet. C. SPECIFIC AIMS The investigators wish to randomize, using the method of minimization (considers baseline age, BMI, gender, liver fat, PNPLA3 genotype) 40 non-diabetic subjects with NAFLD as determined by the non-invasive score developed in our laboratory or previous knowledge of liver fat content based on MRS to overeat either a high carbohydrate or high fat diet (1000 extra calories per day) for 3 weeks. Before and after the overfeeding diets, will measure liver fat content by 1H-MRS and the rate of adipose tissue lipolysis using doubly labeled water (DDW) and [1,1,2,3,3-2H5] glycerol as described in detail below. The investigators also wish to characterize glucose, insulin, fatty acid and triacylglyceride profiles before and while on the experimental diet. An adipose tissue biopsy is taken to determine whether expression of genes involved in lipogenesis or lipolysis, or those involved in adipose tissue inflammation change in response to overfeeding, and for measurement of LPL activity. After overfeeding, both groups will undergo weight loss to restore normal weight as described in our recent study. The metabolic study is repeated after weight loss.

NCT02133144 NAFLD Behavioral: overeating fat Behavioral: overeating carbohydrate
MeSH:Inflammation Weight Loss
HPO:Decreased body weight Weight loss

The investigators have shown that PNPLA3 is regulated by the carbohydrate response element binding protein 1. Mice overexpressing the human I148M PNPLA3 variant in the liver exhibit an increase in liver triglycerides and cholesteryl esters on a high sucrose but not high fat diet. --- I148M ---

These data suggest that overfeeding a high carbohydrate as compared to a high fat diet may increase liver fat more in subjects carrying the I148M allele than in non-carriers. --- I148M ---

The investigators also hypothesize that liver fat may increase more in carriers than non-carriers of the I148M variant in PNPLA3 during a high carbohydrate than a high fat diet. --- I148M ---

Primary Outcomes

Measure: Liver fat content (1H-MRS) and intra-abdominal and subcutaneous fat (MRI)

Time: 3 weeks

Description: the rate of DNL and adipose tissue lipolysis is measured using doubly labeled water (DDW) and [1,1,2,3,3-2H5] glycerol

Measure: De novo lipogenesis (DNL) and measurement of lipolysis

Time: 3 weeks

Secondary Outcomes

Description: Laboratory tests including fasting glucose, insulin, C-peptide, liver enzymes, total, LDL and HDL cholesterol and TG concentrations PNPLA3 genotyping is performed also

Measure: Analytical procedures

Time: 3 weeks

Other Outcomes

Description: Needle biopsies of abdominal subcutaneus tissue will be taken for subsequent isolation of RNA for measurements of gene expression (by quantitative PCR). Fat cell size is also measured.

Measure: Biopsies and analysis of subcutaneus adipose tissue

Time: 3 weeks

Description: Indirect calorimetry is the method by which metabolic rate is estimated from measurements of oxygen (O2) consumption and carbon dioxide (CO2) production.

Measure: Indirect calorimetry

Time: 3 week

2 Body Composition and Metabolic Manifestations of Insulin Resistance in Adolescents With Polycystic Ovary Syndrome: Ectopic Fat Deposition and Metabolic Markers: Intervention and Follow-up Portion

This project, "A double-blind placebo-controlled randomized clinical trial assessing the efficacy of metformin for hepatic fat in adolescents and young adults with polycystic ovary syndrome", proposes exploring the use of novel and noninvasive methodologies in an at-risk adolescent and young adult population with polycystic ovary syndrome (PCOS) who may gain long-term health benefits from early detection and treatment of non-alcoholic fatty liver disease (NAFLD). PCOS is a common condition that frequently presents in adolescence and young adulthood and is defined by elevated androgens (male hormones) in the blood leading to 1. hirsutism and acne and 2. menstrual abnormalities or amenorrhea. Affected individuals are at increased risk of developing insulin resistance (a precursor of diabetes), NAFLD and lipid (cholesterol) abnormalities.These features are all associated with the metabolic syndrome, a rising major public health concern. Recently, an association between PCOS and NAFLD has been noted but has only been superficially studied in the adolescent and young adult population. The susceptibility of certain PCOS patients to developing NAFLD is theorized to be due to having underlying insulin resistance, elevated androgen levels, and a genetic predisposition. Metformin is an insulin sensitizing medication widely used to treat type 2 diabetes mellitus that may have beneficial effects on insulin resistance-related conditions including PCOS and NAFLD. Although widely used in PCOS, its effect on NAFLD in this group has not been previously studied. The primary aims of this proposal are: 1) To determine whether PCOS with liver fat >/=4.8% treated with metformin for six months will have a decline in percentage liver fat compared to a placebo group. 2) To measure the association of the PNPLA3 I148M allele with NAFLD in PCOS at baseline (n=40). 2b) To measure the association of percentage liver fat with biomarkers of NAFLD, dyslipidemia, insulin resistance and body composition at baseline (n=40) and after a placebo-controlled intervention with metformin in PCOS with liver fat >4.8% (n=20). The goal of this research proposal is to explore the use of novel and noninvasive technologies in a young and at risk population. Dr. Sopher hopes to use the results of this research to lay the groundwork for the prevention and treatment of NAFLD and other metabolic disorders in adolescents and young adults with PCOS and to prevent lifelong morbidity associated with PCOS.

NCT02500147 Polycystic Ovary Syndrome Non-Alcoholic Fatty Liver Disease Metabolic Syndrome Drug: Metformin Drug: Placebo
MeSH:Polycystic Ovary Syndrome Liver Diseases Fatty Liver Non-alcoholic Fatty Liver Disease Metabolic Syndrome Syndrome
HPO:Abnormality of the liver Decreased liver function Elevated hepatic transaminase Hepatic steatosis Polycystic ovaries

2) To measure the association of the PNPLA3 I148M allele with NAFLD in PCOS at baseline (n=40). --- I148M ---

The proportion of PCOS subjects with the high risk I148M PNPLA3 allele in the PCOS groups with elevated and normal liver fat will be compared using a chi-squared or Fisher's Exact test.. --- I148M ---

Other IR indices that will be evaluated are whole body insulin sensitivity (WBIS) and insulin area under the curve; 6) Genetic evaluation: A blood sample for the PNPLA3 I148M allele (baseline only). --- I148M ---

Primary Outcomes

Description: To compare percentage liver fat by magnetic resonance spectroscopy in the metformin group and placebo group to baseline and between the groups in order to determine if metformin is efficacious for reducing liver fat compared to placebo in adolescents and young women with Polycystic Ovary Syndrome (PCOS)

Measure: Difference in percentage liver fat between Metformin arm and Placebo arm in adolescents and young adults with PCOS and with elevated percentage liver fat (>/=4.8%)

Time: 6 months

Secondary Outcomes

Description: The proportion of PCOS subjects with the high risk I148M PNPLA3 allele in the PCOS groups with elevated and normal liver fat will be compared using a chi-squared or Fisher's Exact test.

Measure: Proportion of PCOS subjects with the PNPLA3 allele comparing those with elevated percentage liver fat (>/=4.8%) and those with normal percentage liver fat (<4.8%) by magnetic resonance spectroscopy

Time: 6 months

Description: The association of percent liver fat with insulin resistance as measured by HOMA-IR will be measured by correlation/regression. Change in HOMA-IR with change in percent liver fat following metformin will be assessed using multiple regression analysis.

Measure: The association of percentage liver fat by magnetic resonance spectroscopy with insulin resistance as measured by HOMA-IR in adolescents with PCOS

Time: 6 months

Description: The association of percent liver fat with triglycerides will be measured by correlation/regression. Change in triglycerides with change in percent liver fat following metformin will be assessed using multiple regression analysis.

Measure: The association of percentage liver fat with triglycerides

Time: 6 months

Description: The association of percent liver fat with visceral adipose tissue will be measured by correlation/regression. Change in visceral adipose tissue with change in percent liver fat following metformin will be assessed using multiple regression analysis.

Measure: The association of percentage liver fat with visceral adipose tissue

Time: 6 months

Description: The association of percent liver fat with total body adipose tissue will be measured by correlation/regression. Change in total body adipose tissue with change in percent liver fat following metformin will be assessed using multiple regression analysis.

Measure: The association of percentage liver fat with total body adipose tissue

Time: 6 months

Description: The association of percent liver fat with pancreatic polypeptide will be measured by correlation/regression. Change in pancreatic polypeptide with change in percent liver fat following metformin will be assessed using multiple regression analysis.

Measure: The association of percentage liver fat with pancreatic polypeptide

Time: 6 months

Description: The association of percent liver fat with M30 will be measured by correlation/regression. Change in M30 with change in percent liver fat following metformin will be assessed using multiple regression analysis.

Measure: The association of percentage liver fat with M30, a hepatic apoptosis marker

Time: 6 months

3 Genetic Regulation of Lipid Pathways Contributing to Non-alcoholic Fatty Liver and Atherogenic Dyslipidemia

The aims of the study are: 1. To investigate if carriers of apolipoprotein (apo) CIII loss-of-function (LOF) mutations produce less apo-CIII that results in reduction of large very low-density lipoprotein (VLDL) particle secretion as compared to non-carriers of these variants and compare the results with carriers of apo-CIII gain-of-function (GOF) to elucidate the role of apo-CIII in hepatic lipid metabolism. 2. To study if carriers of the TM6SF2 E167K and PNLPLA3 I148M mutations produce less large VLDL particles to transport fat out of the liver as compared to non-carriers. 3. To test whether the specific mutations in the apo-CIII, TM6SF2 and PNLPLA3 genes are reflected in changes of liver de novo lipogenesis (DNL), liver fat, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), plasma lipid and apolipoprotein kinetics and fasting concentrations in carriers of the TM6SF2 E167K and PNLPLA3 I148M mutations as compared to non-carriers. 4. To study the effects of APOE, angiopoietin (ANGPTL3 and ANGPTL8) or endothelial lipase (LIPG) genotypes on liver fat metabolism, lipid and apolipoprotein metabolism and lipid phenotypes.

NCT04209816 Non-alcoholic Fatty Liver Atherogenic Dyslipidemia Insulin Resistance Diagnostic Test: Lipoprotein kinetics
MeSH:Fatty Liver Non-alcoholic Fatty Liver Disease Insulin Resistance Dyslipidemias
HPO:Abnormal circulating lipid concentration Hepatic steatosis Insulin resistance

2. To study if carriers of the TM6SF2 E167K and PNLPLA3 I148M mutations produce less large VLDL particles to transport fat out of the liver as compared to non-carriers. --- E167K --- --- I148M ---

3. To test whether the specific mutations in the apo-CIII, TM6SF2 and PNLPLA3 genes are reflected in changes of liver de novo lipogenesis (DNL), liver fat, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), plasma lipid and apolipoprotein kinetics and fasting concentrations in carriers of the TM6SF2 E167K and PNLPLA3 I148M mutations as compared to non-carriers. --- E167K --- --- I148M ---

Inclusion Criteria: - persons who have provided written consent - apo-CIII loss-of-function mutation (heterozygous) or apo-CIII gain-of-function mutations (heterozygous) or TM6SF2 E167K mutation (homozygous) or PNLPLA3 I148M or apoE or LIPG or ANGPTL3 or ANGPTL8 LOF and GOF variants. --- E167K --- --- I148M ---

m² at inclusion Exclusion Criteria: - Patients with Type 1 and 2 diabetes, BMI > 40 kg/m2, - ApoE2/2 phenotype, thyrotropin concentration outside normal range, - Lipid-lowering drugs - Blood pressure >160 mmHg systolic and/or > 105 diastolic mmHg - Liver failure or abnormal liver function tests >3 x upper limit of normal - Intestinal disease - Pregnancy, breastfeeding - Patients with volume depletion Inclusion Criteria: - persons who have provided written consent - apo-CIII loss-of-function mutation (heterozygous) or apo-CIII gain-of-function mutations (heterozygous) or TM6SF2 E167K mutation (homozygous) or PNLPLA3 I148M or apoE or LIPG or ANGPTL3 or ANGPTL8 LOF and GOF variants. --- E167K --- --- I148M ---

Primary Outcomes

Description: Production rate, mg/day

Measure: Difference in the rate of production of VLDL Apo B

Time: Baseline

Description: Production rate, mg/kg/day

Measure: Difference in the rate of production of VLDL Triglycerides

Time: Baseline

Description: Production rate, mg/kg/day

Measure: Difference in the rate of production of VLDL ApoC-III and apoE

Time: Baseline

Description: Rate of disappearance, pools/day

Measure: Difference in the Fractional Catabolic Rate of VLDL Apo B

Time: Baseline

Description: Rate of disappearance, pools/day

Measure: Difference in the Fractional Catabolic Rate of VLDL Triglycerides

Time: Baseline

Description: Rate of disappearance, pools/day

Measure: Difference in the Fractional Catabolic Rate of VLDL ApoC-III and apoE

Time: Baseline

Description: Measure of newly synthesized triglycerides in VLDL, μmol/l

Measure: Difference in de novo lipogenesis

Time: Baseline

Description: Percentage of liver fat measured with magnetic resonance spectroscopy

Measure: Difference in liver fat

Time: Baseline

Description: Remnant lipoproteins and lipoprotein fraction composition, mg/L

Measure: Difference in atherogenic dyslipidemia

Time: Baseline

Description: Calculated Homeostatic Model Assessment for Insulin Resistance (HOMA-IR)

Measure: Difference in insulin resistance

Time: Baseline

Description: ApoA, mg/dl

Measure: Difference in apoprotein A concentration

Time: Baseline

Description: ApoB, mg/dl

Measure: Difference in apoprotein B concentration

Time: Baseline

Description: ApoC, mg/dl

Measure: Difference in apoprotein C concentration

Time: Baseline

Description: ApoE, mg/dl

Measure: Difference in apoprotein E concentration

Time: Baseline

Description: Rate of turnover, pools/day

Measure: Difference in the rate of production and Fractional Catabolic Rate of intermediate-density Apo B

Time: Baseline

Description: Rate of turnover, pools/day

Measure: Difference in the rate of production and Fractional Catabolic Rate of low-density lipoprotein Apo B

Time: Baseline

Description: Measured lipoprotein lipase activity, mU/ml

Measure: Lipolytic activity

Time: Baseline

Description: Measured hepatic lipase activity, mU/ml

Measure: Hepatic lipase activity

Time: Baseline

4 A Phase 2, Randomised, Placebo Controlled Study to Evaluate the Efficacy, Tolerability and Safety of Metabolic Cofactor Supplementation in Obese Subjects With Non-Alcoholic Fatty Liver Disease (NAFLD)

This short-term, randomized, placebo-controlled, investigator-initiated trial aims to establish metabolic improvements in NAFLD subjects by dietary supplementation with cofactors N-acetylcysteine, L-carnitine tartrate, nicotinamide riboside and serine. Concomitant use of pivotal metabolic cofactors via simultaneous dietary supplementation will stimulate three different pathways to enhance hepatic β-oxidation and this study's hypothesis is that this will result in decreased amount of fat in the liver.

NCT04330326 Non-alcoholic Fatty Liver Disease (NAFLD) Drug: Metabolic Cofactor Supplementation Drug: Sorbitol
MeSH:Liver Diseases Fatty Liver Non-alcoholic Fatty Liver Disease
HPO:Abnormality of the liver Decreased liver function Elevated hepatic transaminase Hepatic steatosis

heart failure, documented coronary artery disease, valvular heart disease) - Patients with active bronchial asthma - Patients with phenylketonuria (contraindicated for NAC) - Patients with histamine intolerance - Clinically significant TSH level outside the normal range (0.04-6 mU/L) - Known allergy for substances used in the study - Concomitant medication use: 1. Lipid-lowering drugs within 3 months 2. Oral antidiabetics given for insulin resistance of obesity (metformin, liraglutide etc.) within 3 months 3. Thiazide diuretics with a dose >25 mg/d 4. Postmenopausal estrogen therapy 5. Any medication acting on nuclear hormone receptors or inducing Cytochromes P450 (CYPs) 6. Self-administration of dietary supplements such as any vitamins, omega-3 products, or plant stanol/sterol products within 1 month 7. Treatment with medications known to cause fatty liver disease such as atypical neuroleptics, tetracycline, methotrexate or tamoxifen 8. Use of an antimicrobial agent in the 4 weeks preceding randomization - Active smokers consuming >10 cigarettes/day - Alcohol consumption over 192 grams for men and 128 grams for women per week - Patients considered as inappropriate for this study for any reason (patients unable to undergo MRI study, noncompliance etc.) - Subjects with Patatin-like phospholipase domain-containing protein 3( PNPLA3) I148M (homozygous for I148M) - Women who are pregnant, are planning pregnancy, or who are breast-feeding - Women of childbearing potential not protected by effective birth control method - Active participation in another clinical study Inclusion Criteria: - Men and women (18-70 years old) - Body mass index >27kg/m2 - Triglyceride levels ≤354 mg/dl and LDL chol ≤175 mg/dl - No history of medication use for hepatic steatosis - Increased liver fat (>5.5%) --- I148M ---

heart failure, documented coronary artery disease, valvular heart disease) - Patients with active bronchial asthma - Patients with phenylketonuria (contraindicated for NAC) - Patients with histamine intolerance - Clinically significant TSH level outside the normal range (0.04-6 mU/L) - Known allergy for substances used in the study - Concomitant medication use: 1. Lipid-lowering drugs within 3 months 2. Oral antidiabetics given for insulin resistance of obesity (metformin, liraglutide etc.) within 3 months 3. Thiazide diuretics with a dose >25 mg/d 4. Postmenopausal estrogen therapy 5. Any medication acting on nuclear hormone receptors or inducing Cytochromes P450 (CYPs) 6. Self-administration of dietary supplements such as any vitamins, omega-3 products, or plant stanol/sterol products within 1 month 7. Treatment with medications known to cause fatty liver disease such as atypical neuroleptics, tetracycline, methotrexate or tamoxifen 8. Use of an antimicrobial agent in the 4 weeks preceding randomization - Active smokers consuming >10 cigarettes/day - Alcohol consumption over 192 grams for men and 128 grams for women per week - Patients considered as inappropriate for this study for any reason (patients unable to undergo MRI study, noncompliance etc.) - Subjects with Patatin-like phospholipase domain-containing protein 3( PNPLA3) I148M (homozygous for I148M) - Women who are pregnant, are planning pregnancy, or who are breast-feeding - Women of childbearing potential not protected by effective birth control method - Active participation in another clinical study Inclusion Criteria: - Men and women (18-70 years old) - Body mass index >27kg/m2 - Triglyceride levels ≤354 mg/dl and LDL chol ≤175 mg/dl - No history of medication use for hepatic steatosis - Increased liver fat (>5.5%) --- I148M --- --- I148M ---

heart failure, documented coronary artery disease, valvular heart disease) - Patients with active bronchial asthma - Patients with phenylketonuria (contraindicated for NAC) - Patients with histamine intolerance - Clinically significant TSH level outside the normal range (0.04-6 mU/L) - Known allergy for substances used in the study - Concomitant medication use: 1. Lipid-lowering drugs within 3 months 2. Oral antidiabetics given for insulin resistance of obesity (metformin, liraglutide etc.) within 3 months 3. Thiazide diuretics with a dose >25 mg/d 4. Postmenopausal estrogen therapy 5. Any medication acting on nuclear hormone receptors or inducing Cytochromes P450 (CYPs) 6. Self-administration of dietary supplements such as any vitamins, omega-3 products, or plant stanol/sterol products within 1 month 7. Treatment with medications known to cause fatty liver disease such as atypical neuroleptics, tetracycline, methotrexate or tamoxifen 8. Use of an antimicrobial agent in the 4 weeks preceding randomization - Active smokers consuming >10 cigarettes/day - Alcohol consumption over 192 grams for men and 128 grams for women per week - Patients considered as inappropriate for this study for any reason (patients unable to undergo MRI study, noncompliance etc.) - Subjects with Patatin-like phospholipase domain-containing protein 3( PNPLA3) I148M (homozygous for I148M) - Women who are pregnant, are planning pregnancy, or who are breast-feeding - Women of childbearing potential not protected by effective birth control method - Active participation in another clinical study Non-alcoholic Fatty Liver Disease (NAFLD) Liver Diseases Fatty Liver Non-alcoholic Fatty Liver Disease In this study, investigators aim to lower liver fat content in obese patients with NAFLD by increasing the hepatic levels of pivotal metabolic cofactors via simultaneous dietary supplementation of serine, L-carnitine, N-acetylcysteine (NAC) and nicotinamide riboside (NR). --- I148M ---

heart failure, documented coronary artery disease, valvular heart disease) - Patients with active bronchial asthma - Patients with phenylketonuria (contraindicated for NAC) - Patients with histamine intolerance - Clinically significant TSH level outside the normal range (0.04-6 mU/L) - Known allergy for substances used in the study - Concomitant medication use: 1. Lipid-lowering drugs within 3 months 2. Oral antidiabetics given for insulin resistance of obesity (metformin, liraglutide etc.) within 3 months 3. Thiazide diuretics with a dose >25 mg/d 4. Postmenopausal estrogen therapy 5. Any medication acting on nuclear hormone receptors or inducing Cytochromes P450 (CYPs) 6. Self-administration of dietary supplements such as any vitamins, omega-3 products, or plant stanol/sterol products within 1 month 7. Treatment with medications known to cause fatty liver disease such as atypical neuroleptics, tetracycline, methotrexate or tamoxifen 8. Use of an antimicrobial agent in the 4 weeks preceding randomization - Active smokers consuming >10 cigarettes/day - Alcohol consumption over 192 grams for men and 128 grams for women per week - Patients considered as inappropriate for this study for any reason (patients unable to undergo MRI study, noncompliance etc.) - Subjects with Patatin-like phospholipase domain-containing protein 3( PNPLA3) I148M (homozygous for I148M) - Women who are pregnant, are planning pregnancy, or who are breast-feeding - Women of childbearing potential not protected by effective birth control method - Active participation in another clinical study Non-alcoholic Fatty Liver Disease (NAFLD) Liver Diseases Fatty Liver Non-alcoholic Fatty Liver Disease In this study, investigators aim to lower liver fat content in obese patients with NAFLD by increasing the hepatic levels of pivotal metabolic cofactors via simultaneous dietary supplementation of serine, L-carnitine, N-acetylcysteine (NAC) and nicotinamide riboside (NR). --- I148M --- --- I148M ---

Primary Outcomes

Description: The change in liver fat content as well as subcutaneous abdominal and intra-abdominal fat content between the placebo and cofactor treatment arms in NAFLD patients from baseline to 2 weeks, 6 weeks and 10 weeks.

Measure: Magnetic Resonance Spectroscopy (MRS) Measurement

Time: 2 weeks, 6 weeks and 10 weeks

Secondary Outcomes

Description: Body weight will be measured at every visit to evaluate safety of metabolic cofactor supplementation.

Measure: Change in body weight from baseline

Time: 10 weeks

Description: Change in heart rate will be measured at every visit to evaluate safety of metabolic cofactor supplementation.

Measure: ECG Measurement

Time: 10 weeks

Description: Systolic and Diastolic Blood Pressure will be measured at every visit to evaluate safety of metabolic cofactor supplementation.

Measure: Change in Blood Pressure from baseline

Time: 10 weeks

Description: Waist and hip circumference will be measured at every visit to evaluate safety of metabolic cofactor supplementation.

Measure: Change in waist and hip circumference from baseline

Time: 10 weeks

Description: Complete blood count includes number of blood cells. Complete blood count test will be performed to measure possible toxic effects of the metabolic cofactor supplementation on hematological system.

Measure: Change of complete blood count (number of blood cells) from baseline

Time: 10 weeks

Description: Complete blood count includes concentration of hemoglobin. Complete blood count test will be performed to measure possible toxic effects of the metabolic cofactor supplementation on hematological system.

Measure: Change of complete blood count (hemoglobin) from baseline

Time: 10 weeks

Description: Kidney function tests (creatinine, urea, uric acid) will be performed to measure possible toxic effects of the metabolic cofactor supplementation on kidney function.

Measure: Changes in kidney function tests (creatinine, urea, uric acid) from baseline

Time: 10 weeks

Description: Kidney function tests (sodium, potassium) will be performed to measure possible toxic effects of the metabolic cofactor supplementation on kidney function.

Measure: Changes in kidney function tests (sodium, potassium) from baseline

Time: 10 weeks

Description: Liver function tests (ALT, AST, GGT, ALP) will be performed to measure possible toxic effects of the metabolic cofactor supplementation on liver function.

Measure: Changes in liver function tests [Alanine aminotransferase (ALT), Aspartate aminotransferase (AST), Gamma-glutamyl transferase (GGT), Alkaline phosphatase (ALP)] from baseline

Time: 10 weeks

Description: Liver function tests (Total Bilirubin, Albumin) will be performed to measure possible toxic effects of the metabolic cofactor supplementation on liver function.

Measure: Changes in liver function tests (Total Bilirubin, and Albumin) from baseline

Time: 10 weeks

Description: Creatinine kinase (CK) level will be evaluated to measure possible toxic effects of the metabolic cofactor supplementation.

Measure: Changes in creatinine kinase (CK) level from baseline

Time: 10 weeks

Description: Blood lipid levels (total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL-C), high density lipoprotein (HDL-C)) will be evaluated to measure possible toxic effects of the metabolic cofactor supplementation.

Measure: Changes in blood lipid levels (total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL-C), high density lipoprotein (HDL-C)) from baseline

Time: 2 weeks, 6 weeks and 10 weeks

Description: Blood glucose levels will be evaluated to measure possible toxic effects of the metabolic cofactor supplementation.

Measure: Changes in blood glucose levels from baseline

Time: 10 weeks

Description: Blood insulin level will be evaluated to measure possible toxic effects of the metabolic cofactor supplementation.

Measure: Change in blood insulin level from baseline

Time: 10 weeks

Description: Thyroid-stimulating hormone (TSH) level will be evaluated to measure possible toxic effects of the metabolic cofactor supplementation.

Measure: Change in thyroid-stimulating hormone (TSH) level from baseline

Time: 10 weeks

Description: The change in gut microbiota between the placebo and the treatment arms in NAFLD patients. Feces and saliva samples will be collected to assess changes in gut microbiota. Instructions on specimen collection will be given during the first visit. Microbiota will be assessed using shot-gun metagenomic techniques.

Measure: Microbiota analysis

Time: 2 weeks, 6 weeks and 10 weeks

Description: This process aiming to monitoring of adverse events of metabolic cofactor supplementation. Adverse events and serious adverse events will be monitored continuously and all adverse events that occur at any time during the study will be reported in Case Report Forms. Any symptoms of intestinal discomfort or other side effects will be carefully recorded and all study subjects will be informed to contact (by phone or text message) the investigators immediately if they experience any symptoms of discomfort or any side effects during the intervention period.

Measure: Monitoring of adverse events

Time: 10 weeks


HPO Nodes


HP:0001392: Abnormality of the liver
Genes 1390
SRD5A3 WHCR CSPP1 ATP7A IL2RG MYORG NR1H4 IL17RC PEX1 B9D1 CD40LG TCF4 INSR SKIV2L RRM2B TTC37 HPD PEX11B NEU1 DOCK6 RBPJ CLEC7A RNF43 PSAP HNF1B HSD3B7 VPS33A LIPT1 EFL1 SDHC CEP290 TGFB1 CHD7 TINF2 FOXP3 PRKCD ALG6 CR2 C11ORF95 PTPN3 LACC1 ABCB11 KRT8 PLEKHM1 SETBP1 CASK PEX10 PKLR HADHA GBA TINF2 SLC4A1 AGA HADHA RPS20 IL7R TCIRG1 FLI1 GLIS3 CFI UQCRC2 IL17RA DNASE1L3 TRNK MRPL3 LCAT MPV17 TBX1 PEX11B TMEM70 KLF1 INS HBB NDUFS1 KMT2E HFE FASTKD2 ALG9 CTRC KRT18 SOS1 EIF2AK3 WDR35 PYGL FASLG CORIN BSCL2 ALG8 CD81 TNFSF12 RHAG FAN1 NCF2 LMNB2 ACADM H19 FBP1 GNE TNFRSF1B ND3 RMRP XRCC2 PC SLC29A3 ACOX1 COG8 RHAG SLC30A10 CDKN2B TJP2 COX6B1 SMPD1 SPTB WDR60 CBS RPGRIP1 SRD5A3 RPGRIP1L MLH1 ATP8B1 TRIM37 TMEM67 NHP2 SLC11A2 INPP5E NFKB1 CDKN1A HADHA CA2 ACSF3 H19 POLD1 AP1S1 F5 LYRM4 SLC2A1 KRT6B PCK1 POLG2 SEC24C HNRNPA1 DHDDS ALG13 AKT2 APOA1 B3GLCT GBA MPC1 KRT16 TET2 LDLRAP1 SLCO2A1 ACVRL1 KCNH1 PIGS APC TMEM67 USP9X CAV1 IFT122 TNFSF11 LRPPRC POMC BBIP1 B9D2 PEPD ACAT1 LMNA SPTA1 ACVRL1 GATA6 LPL DIS3L2 GNPTAB PHKG2 TNFRSF1A IDUA KRIT1 SLC25A13 BMP2 GPI SNX10 AKR1D1 BBS1 MED25 APC MAN2B1 MTRR ALAS2 ERCC4 PEX14 PNPLA2 PIEZO1 MVK PEX16 BRCA2 BCS1L SBDS TUFM VPS13A IFT140 SDCCAG8 GBA AMACR PFKM HFE PTPN11 APC INSR NPC1 CTNS TSFM PEX5 IFT172 BRCA1 IFT80 ERCC4 SLC25A13 RFWD3 PSMB4 HBA2 WDR19 ALDOA ELN ATP8B1 JAK2 MPI SMPD1 HMBS TBX1 ABCA1 ICOS UROD DCTN4 DKC1 LIG4 NBAS PEX3 TRNE ACADVL SDHA GPC3 TREX1 PEX10 CAV1 MYC HADHB HGSNAT GBA MMUT PEX26 RAB27A PEX12 PMM2 RREB1 RPGRIP1L CLDN1 MPL UQCRB MRPS16 UGT1A1 WDPCP FANCC HJV PEX13 CARS2 AP1B1 GYS2 PROP1 MRPS7 PEX2 PEPD G6PC MCM4 MMUT COG4 ABCC2 PEX26 HLA-DRB1 PPARG NDUFS7 NPHP1 VIPAS39 ABHD5 SBDS PIGA APOA1 GP1BB EFL1 VCP SLC17A5 COX4I2 GPD1 GPC3 CA2 DDRGK1 NDUFAF1 COG5 PHKA2 TWNK PHKG2 KRAS CYBC1 USP18 TMEM231 SP110 PEX1 CIDEC EOGT MSH2 IL2RB SLC39A8 MEFV TANGO2 FERMT3 ATP7B PDGFRL ATM TTC21B TERT HMGCS2 HOXD13 ENG MYH9 CEL LONP1 FGA SLCO1B3 CYP27A1 MIF DPAGT1 TERT TF CLCN7 TMEM107 CD247 NDUFA6 TRAF3IP2 DNAJC19 APOB SMPD1 CEP290 PRDM16 STK11 ND2 LETM1 ITCH LPIN2 PEX6 CASR SLCO1B1 POLG TPP2 IFT172 ZAP70 CNTNAP2 SKI H19 CYP19A1 ABCG8 PKHD1 CC2D2A CTCF GCGR CD96 PIK3CA GAA PSAP LHX1 PEX2 UBE2T PSAP ND4 PEX6 SLC29A3 TACO1 RNASEH2B POLG2 ZMPSTE24 RELA TMEM67 PCK2 POMC CD79B LBR SRP54 AKR1D1 SLC39A4 SC5D RPGRIP1L PLPBP SPTA1 RERE NKX2-5 NDUFS4 FAH CC2D2A COX20 GATA6 TERT TRAPPC11 ARSA HBA1 FANCL RFX5 PEX14 HNF1A FUCA1 OCLN DCDC2 TPI1 GUCY2D PSAP NSD2 PIK3C2A STAT6 CEP19 TERC SF3B1 NDUFS6 COG6 ACADL HADH RRAS POU2AF1 NOD2 CLIP2 NDUFV1 ERCC8 PEX5 HBB NPHP3 CAVIN1 PSMB9 RFXAP TCF3 NRXN1 FECH CP GFM1 GYPC CTSC SLCO1B3 CD28 NOTCH2 GNS HAMP CDAN1 CEP120 C1QBP ADAR CEP290 POLG2 HBG2 TIMMDC1 PARN EIF2AK3 RHAG ALDOB TNFRSF13C IL21R TRMT10C RFXANK BMPR1A STX11 CD27 CASP8 DHCR7 SGSH SLC25A19 HNF1A CSPP1 BBS12 RFT1 NLRP3 USB1 TRIP13 TMEM67 IDUA PMS1 CPT2 SLC25A20 RFXAP ADA HSD3B7 RAG2 WDR35 RMRP PCSK1 PRSS1 KCNQ1 FDX2 NDUFS8 CEP290 ND1 CCDC115 NGLY1 LMNA WDR60 FANCA MSH6 TMPRSS6 POU6F2 IL2RG NCF1 NSD2 STEAP3 INTU ADAMTSL2 SON PIK3CA FANCM LDLR KCNJ11 CLDN1 DLD TNFSF11 ABCA1 PIEZO1 ARHGAP31 RBM8A SLC13A5 NOTCH2 PEX6 EPCAM MEN1 KRAS TRIM32 PEX14 DUOX2 PDGFRB HBB UBR1 PEX13 RAG1 ABCC2 CIDEC TBX19 SDHA APC ARL6 XIAP RASGRP1 TCIRG1 SMAD4 NHLRC2 ALG1 BRCA2 POU1F1 ND5 DLL4 NDUFB11 TNFRSF11A HLA-B GTF2I EPB42 CTRC SLC22A5 PEX1 IL2RA RNU4ATAC SLC37A4 BCS1L BCHE KCNJ11 LMNA TFR2 TREX1 GUSB BTNL2 TRAF3IP1 SLX4 TNFRSF13B CYBA UGT1A1 DNAJB11 KCNN3 DKC1 PEX3 VPS45 APOE SCO1 GPR35 TBX1 CR2 ATP6 PRKCD JAK2 CTNNB1 HESX1 NPHP1 LMNA APOE FANCI LYST TET2 PEX13 TP53 NUBPL TRAF3IP1 CCDC47 PDX1 TANGO2 TTC8 LYST AP1B1 RNASEH2A MUC5B IL17F SERPINA1 PEX6 FAN1 PKLR NPHP3 C1S NPHP4 FBN1 UGT1A1 KRT18 CYP7B1 CIITA GPC3 HADH HJV KPTN XYLT1 PEX16 CYP7B1 APC UGT1A1 CPT1A BBS5 PALLD CTC1 NSMCE2 FADD TTC7A BCS1L FARSB DDRGK1 NPHP3 IFNGR1 CFTR PEX16 XRCC4 FGFR2 HNF4A MPV17 GALT SLC25A1 ACADM ALG9 KLF11 MLH3 CLCN7 IGLL1 UGT1A1 CLPB GBA TALDO1 KRT8 BTD ARSA PLAGL1 HK1 ALG2 DPM2 C8ORF37 DMD SLC40A1 SLC26A4 G6PD GALK1 AGPAT2 PEX5 PDGFRA SLC40A1 IL2RG IYD KLF1 WT1 BBS10 ATP7A RNASEH2C SRP54 ABCC8 PEX13 DYNC2H1 SLC20A2 ESCO2 GPC4 PAX8 CLCA4 C4B PCCB COG8 ABCB4 XK TNFSF15 APPL1 HEXB CPT2 PEX6 XPR1 CTSA IER3IP1 ACOX1 B2M TNFRSF1B YARS2 DCLRE1C HYMAI SCARB2 CD70 BSCL2 AHCY LYZ SPINK1 SOX10 IDUA ABCC8 GABRD WT1 FASLG ERCC6 FOXF1 STOX1 TBX19 CTBP1 DPM1 ATP8B1 PEX12 BSCL2 ENG UCP2 PKD2 RNU4ATAC FGFR2 SCYL1 COG7 DAXX MST1 PSMB8 BLVRA GPIHBP1 HADHA NELFA SURF1 TNFSF12 GPC4 SMAD4 PEX19 GNAS TRMU COX10 ALAS2 NAGA DOLK PEX2 NHP2 MCCC1 TRIM28 DHFR DNAJC21 CTSK SETBP1 PEX3 WDR19 NAB2 DPM3 RECQL4 MVK RFT1 LZTR1 G6PC3 ANK1 CDKN1C STN1 KRAS PALB2 SEMA4A EPB42 UFD1 NHP2 LIPE RIT1 RNASEH2A DCDC2 FGFRL1 HNRNPA2B1 STEAP3 PARS2 DNAJC21 LHX3 TG DCLRE1C HMGCL DIS3L2 FOS VPS33B TMEM199 BRCA2 RBCK1 HELLPAR NFKB2 CASR LMNA NOP10 SFTPA2 XRCC4 PAX4 JMJD1C RAF1 CD46 PALB2 RAG2 DGUOK COX8A ND3 CFTR FANCE ICOS RMND1 RFX6 NDUFS7 IL12A LIG4 KIF23 SCYL1 NDUFS2 HLA-DRB1 FAS NCF1 ARSB MKS1 SLC25A20 RAD51 EWSR1 ALMS1 GALE PEX26 TSC1 MMAA SLC4A1 KRT17 PAX8 ABCA1 PEX19 ZIC3 ADA2 EPB41 SERPINA1 CFTR NPHP3 MOGS FBP1 FANCD2 LBR TNPO3 SLC25A4 ATP11C LRP5 TSHR NEK1 CCND1 MET VHL ABCG8 IDUA TRMU WDR34 ABCB4 SPECC1L ERCC4 DYNC2H1 MKS1 GLB1 ASAH1 ATP6V1B2 SLC25A13 NEUROG3 ND1 TCIRG1 HSD17B4 CDKN1B LRP5 STK11 IL1RN COG1 NRAS ND6 GBA BTK AMACR ETFA ND2 PPARG FLT1 COMT DGUOK CD19 PRPS1 GBA HADHB POU1F1 DLD MKKS SEC63 TRMT5 TGFBR2 GBA HMGCL SLC4A1 HBB TRNS1 MRPL44 DDOST PCCA ABCB4 LIPA ABCD3 LIPE GATA2 BTK REST SUMF1 FUCA1 PEX3 AGGF1 PEX14 RAG1 UROS ANKS6 KCNN4 SDHD PTEN TREX1 TSHB APOC2 SLC2A1 GLB1 CDKN1B CPA1 ASL HMBS IL36RN KIT INPPL1 HYOU1 TRIM37 HPGD ELN PEX19 TGFB1 CBS CYP27A1 RAG2 TGFB1 PSAP MMUT COX10 COX15 KCNN4 CYBB HMOX1 H19-ICR NDUFA11 PLIN1 DYNC2LI1 NDUFAF2 TERC MAD2L2 NDUFB9 MSH6 KRAS CD3E FOXRED1 CD19 HBG2 TRNV PCCA HNF1A KIT WRAP53 GCLC C8ORF37 COX14 ACAD9 GNMT TREX1 ATP6AP1 RFC2 HNF4A CD3D SLC25A13 PEX12 TMEM67 TERC CTLA4 TRNN CDKN2A LMNA BCS1L IDS MET IL7R CDKN2C TSHR PLIN1 PET100 GPC1 CPT1A HNF1B NLRC4 BRCA1 PEX3 DPM3 JAM3 GNPTAB TRNW DLL4 JAK3 IFT140 MICOS13 DNAJC19 PNPLA2 PRF1 NAGA CEP55 SC5D PIGM PMM2 GALT BBS7 HLA-DRB1 ITK PRKCD NDUFAF4 BBS2 LIPA NGLY1 IDUA HAVCR2 IQCB1 MFN2 NOS3 SUMF1 BBS9 NDUFAF1 MYBPC3 SLC30A10 PEX26 PEX10 EPB41 KCNAB2 ACADVL GUSB CPT2 AGPAT2 HBB POLG ETFDH NRAS PEX16 GLRX5 LRRC8A COA8 OSTM1 LIMK1 NLRP3 TBL2 LZTFL1 FH CPOX CEP164 PNPLA6 SLC37A4 SPTB ABCB11 TWNK SFTPC ALDH7A1 INPP5E HBA1 ATPAF2 SHPK ICOS SLCO1B1 FCGR2A SPRTN FBXL4 MARS1 ALG11 TMEM67 KIAA0586 CPT2 IL7R NDUFS3 RASA2 ACAD9 AUH TKT ATP7B NSMCE2 RHBDF2 OFD1 CLCN7 IFIH1 JAK2 WT1 DZIP1L HIRA DPM2 PRKCSH GNE NCF2 SLC25A19 ARSA TFAM COX15 COG2 CEP83 SNX14 KCNH1 NEK8 BBS1 NDUFAF3 PSAP CD79A BRIP1 SEC63 ADAMTS13 ANTXR1 IGF2 FANCF PDGFRA BLNK ALG8 WDR19 PEX10 TMEM126B TPO TALDO1 FAS PDGFB CLCN7 DHCR7 BMPER IFT172 PCCB TP53 CTLA4 SDCCAG8 GCK NOTCH1 PTRH2 ADA NCF4 SLC35A2 SMAD4 STAT1 TTC37 GDF2 TMEM165 IL12RB1 RFXANK IRF5 NDUFAF5 TNFRSF13B PEX12 TRAPPC11 INVS CALR TRHR SPINK1 CD28 MECP2 SEC23B AGL ABCG8 CIITA WDR19 HBG1 GALNS OFD1 TMEM216 CC2D2A ABHD5 PEX2 LARS1 TTC21B GCDH RPGRIP1L STX1A IGF2R IGF2 BTK LIPA TRNL1 MKS1 COG2 SLC25A15 PKD1 CC2D2A TNFRSF13C SLC4A1 SP110 CASP10 ATRX PKHD1 PRKCSH HNF1B SKIV2L SOS2 KRT6A PIK3R1 TARS2 RRAS2 RTEL1 POLG TCTN2 CD55 GBE1 CCDC28B PRKAR1A SLC7A7 CYTB IFT27 NPC2 BSCL2 NDUFB10 COG4 SDHB SAA1 AP3D1 ITCH SLC5A5 PRSS1 SAR1B PEX11B RAG1 GDF2 ALMS1 F5 PMS2 COA8 GBA HBB TSC2 CASP10 CASR EXTL3 LETM1 NDUFS4 HAMP DYNC2LI1 TRIM28 PHKB PSMB8 RAD51C AKT2 ARVCF SH2D1A DUOXA2 ZAP70 LHX4 C15ORF41 RNU4ATAC POLR3A HNF4A AGA RNASEH2C TYMP IFT172 MYD88 JAG1 APOE LTBP3 ASAH1 NPM1 COG6 IKZF1 PHKA2 SLC7A7 CYBA HFE GLB1 NLRP1 CBL RFX5 MS4A1 HNF4A BBS4 ARSA NAGLU BTNL2 FAM111B PLEKHM1 DMPK AIRE BPGM MLXIPL FANCG EARS2 WDR35 SAMHD1 PGM1 AP1S1 AXIN1 LMNA ALDOB ADK PRSS2 KCNQ1OT1 HBA2 CAVIN1 BLK SNX10 PPARG RRM2B CYP7A1 IFT80 BAZ1B CTLA4 FAH SLC25A15 NEUROD1 PEX1 NDUFV2 PEX5 SLC22A5 MLH1 FANCB WDR34 CPLX1 IARS1 WDPCP EXTL3 TMEM216 TERT BOLA3 XIAP MYRF CTNNB1 CYBB SPTB GANAB NPHP3 NAGS CYC1 TTC7A NOP10 MSH2 APC UNC13D TRNW JAK2 MMEL1 MMAB IGHM MPI IFT43 MRAS NDUFB3 PCSK9 FAS STXBP2 ANK1 CFH PTPRC LBR SPIB VPS33A IL6 TET2 ASS1 NDUFA1 FECH ABCG5 MPL GTF2IRD1 PEX12 AP3B1 IFIH1 ETFB PEX19 PEX1 PRKAR1A ERBB3 A2ML1
Protein Mutations 4
C282Y G20210A H63D I148M
HP:0001824: Weight loss
Genes 325
TRNF SCNN1B WT1 EPAS1 SCNN1A GABRA3 TRAIP COL1A1 PTEN MLX LIPA TCF4 STAT3 INSR LPIN2 HAVCR2 KLRC4 MC2R NPM1 JPH3 KIF1B H19 NOD2 PLAGL1 IL6 MECP2 IL12A WT1 TRNL1 POLG PRKAR1A BCL10 MRAP FOXP3 FIP1L1 KCNJ11 SDHD UBE2T INS CNTNAP1 KIF1B DAXX MST1 PML MALT1 VHL TBL1XR1 IL12A-AS1 TSHR PRNP CDH23 ERAP1 RPS20 MDH2 FLI1 BMPR1A CUL4B TP53 GJB3 FOXP1 TRIM28 B2M ND1 FANCL PDX1 SDHA ATP7B SCNN1G RHBDF2 RBBP8 MPL AKT1 NAB2 JAK2 ERCC5 WT1 COX2 EDN3 TP53 BCL2 JPH3 STAT6 TYMP EIF2AK3 KRAS PALB2 SNCA SEMA4A SDHC LRRK2 BRIP1 DCTN1 ACADM CACNA1S NBN FANCF IGH RET XRCC2 COL6A2 PRNP TSHR BRCA2 IGH HLA-B TRNQ NDP EDNRB UNC80 HLA-DPB1 DLST VPS35 PALB2 HSPG2 MLH1 TRIM37 TMEM127 STAR MEFV KCNJ18 FANCE C4A BMPR1A UBAC2 SDHD CALR PTPN22 KDSR POLG HLA-DRB1 KCNJ11 TRNS1 ERCC2 PTEN TRIP13 PLK4 TP53 RAD51 TTR EWSR1 IL23R PMS1 GIGYF2 F5 STAT3 ATR CHEK2 DNAJC13 BTK HYMAI FANCA MSH6 KRT1 POU6F2 HTT SLC9A6 PLA2G6 SUCLA2 FANCD2 TET2 SLC6A8 GJA1 ATRX PIK3CA PRNP KRT10 FANCM RET VHL CFTR SLC52A2 SDHAF1 SDHB SLC25A11 TLR4 BIRC3 ERCC4 SDHB GCK EPCAM IRF2BP2 LMNA KCNJ18 PIK3R1 HLA-DPA1 KRAS GDNF ACAT1 STAT4 SDHAF2 LRP12 SDHB DIS3L2 IL10 ATM COL5A2 IGH RB1 NNT NALCN PMS2 CYP24A1 BCOR SMAD4 ERCC3 BRCA2 ERCC4 TRIM28 PCNT SDHC BRCA2 RAD51C HLA-B JAK2 VPS13A SLC39A4 SDHD GBA SEMA3D AK2 TRNW COX3 RRM2B TGFBR2 HMGCL POLG UNC80 BRCA1 TYMP GATA4 COL5A1 RFWD3 SNCA BTNL2 SLX4 TRNH COX1 FH IKZF1 NOD2 GATA2 JAK2 REST ZBTB16 ABCC8 NUMA1 GPR35 TXNRD2 ND5 MAFB ND4 SLC11A1 BCL6 CENPJ TRNS2 COL12A1 HMBS PTPN22 FANCG STAT5B FANCI TP53 TGFB1 CENPE SEMA3C CEP152 AVP ABCC8 MPL RRM2B FAN1 FANCC CDC73 IL12B MAX ERCC4 FAS HLA-DRB1 CCR1 MAD2L2 FANCB TRPV4 GJB4 PALLD HLA-DRB1 HLA-DQB1 SLC52A3 EIF4G1 ATRIP PTEN CCND1 HLA-DRB1 RNF168 GPC3 NABP1 SDHB MSH2 ECE1 COL6A1 IFNGR1 JAK2 COL6A3 RET SDHA NRTN PANK2 CDKN2A GALT CACNA1S MLH3 ND6 CTLA4 PRTN3 RARA HLCS CCND1 TET2 ZFP57 HLA-B BRCA1 MPL THPO GNPTAB DCTN1 SDHD
Protein Mutations 2
I148M P12A
HP:0003119: Abnormal circulating lipid concentration
Genes 290
DCAF17 APOA2 PEX5 LMNA POLR3A PNPLA2 PRF1 PHYH APOB PMM2 TNFSF15 TDP1 SMPD1 PEX1 CPT2 PEX6 PIGT LMNA BSCL2 SPINK1 CYP19A1 XRCC4 ABCC8 HSD3B7 ABCG8 ACADVL LDLR AGPAT2 ADCY3 TTPA CETP LIMK1 OCRL TBL2 PEX2 BSCL2 UCP2 GK SLC29A3 SLC37A4 NADK2 ZMPSTE24 MCFD2 LTC4S CETP PEX10 MYO5A TRNL1 PSMB8 LMNA GPIHBP1 LMNB2 DGAT1 SLC12A1 TFG SC5D PEX19 PEX10 LCAT ACAD9 ACAD8 AR LMNA PEX2 MEF2A CTRC PEX7 RAI1 PIK3R5 CEP19 EBP PYGL ACADL BSCL2 POU2AF1 LIPE CFH APOB CLIP2 ACADM PEX5 FHL1 AEBP1 CAVIN1 ANGPTL3 PSMB9 HMGCL DHCR24 FOS FECH TMEM199 GHR PLVAP CYP11A1 LMNA DHCR7 XRCC4 SMPD1 SGPL1 EBP CCT5 PIGH MC4R APOA5 IL12RB1 IRF5 CAV1 STX11 DHCR7 ACAD8 IL12A TRNK AGL POLD1 SLC25A20 PPP1R17 ALMS1 ABHD5 UBE3B LRP6 APOA5 PRSS1 ABCA1 DYRK1B CCDC115 NGLY1 SYNE1 RAI1 LIPA APOA1 ALB FLII PEX7 LDLRAP1 SYNE2 TNPO3 LEPR MSMO1 TMEM43 LCAT FBN1 LDLR GLA SAR1B OCRL ABCG8 KCNJ11 TRMU ABCA1 LEP CAV1 NPC2 HAVCR2 BSCL2 LMNA COG4 ABCD1 IQSEC2 SLC25A13 LMNA GHR LPL UBR1 PEX13 PHKG2 SAR1B PEX11B APTX SLC25A13 CIDEC TBCK ALMS1 XIAP PPARG KCNJ1 PNPLA2 NPHS1 DLD AGL AKT2 GTF2I PEX1 ABCA1 POLR3A NPC1 CTNS SLC37A4 LIPC LMNA SLC25A13 JAG1 ZMPSTE24 LIPA PSMB4 MTTP PHKA2 NUP107 SLC7A7 LIPE ACTN4 CFHR1 APOE ABCA1 PEX14 TRNE APOC3 ACADVL EMD LPL APOC2 NUP107 HMBS CAV1 LDLRAP1 RAI1 LMNA ELN LMAN1 PEX26 ALB PEX19 RAB27A CYP27A1 CFHR3 LMNA TANGO2 ACOX2 FLCN CAVIN1 EPHX2 PPARG CYP7A1 PLIN1 BAZ1B SLC52A1 DEAF1 PEX5 GYS2 SLC22A5 HADH CPT1A NSDHL G6PC PCSK9 ZMPSTE24 PPARG APOC3 HNF1A TRNE NSMCE2 GPD1 CAV3 PANK2 RFC2 HNF4A UNC13D SLC25A13 MMEL1 NPHS2 PEX12 PEX16 PHKA2 PHKG2 TDP1 RSPO1 LMNA PLA2G4A ACADM PCSK9 DCAF17 APOB STXBP2 CIDEC PLA2G7 LBR SPIB NADK2 TANGO2 CYP11A1 PLIN1 PNLIP LCAT CPT1A ABCG5 PEX3 GTF2IRD1 PEX12 AGPAT2 CYP27A1 SETX