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Disease consequences of higher adiposity uncoupled from its adverse metabolic effects using Mendelian randomisation
by
Bull, Caroline J
, Dunlop, Malcolm G
, Law, Philip
, Sattar, Naveed
, Houlston, Richard
, Bell, Joshua A
, Bell, Jimmy D
, Tyrrell, Jessica
, Wood, Andrew R
, Martin, Susan
, Tomlinson, Ian PM
, Frayling, Timothy M
, Bown, Matthew J
, Stuart, Philip E
, Kabrhel, Christopher
, Thomas, E Louise
, Tsoi, Lam C
, Elder, James T
, Lindström, Sara
, Beaumont, Robin N
, Yaghootkar, Hanieh
, Vincent, Emma E
, Gunter, Marc J
, Papadimitriou, Nikos
in
Adipose tissue
/ Adiposity - genetics
/ Adult
/ Aged
/ Aged, 80 and over
/ Asthma
/ Biobanks
/ Body fat
/ Body Mass Index
/ Cancer
/ Cancer research
/ Cardiometabolic Risk Factors
/ cardiovascular disease
/ Cholesterol
/ Congestive heart failure
/ Consortia
/ Coronary artery
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Disease
/ Enzymes
/ Epidemiology and Global Health
/ Esophagus
/ favourable adiposity
/ Female
/ Fibrillation
/ Gastroesophageal reflux
/ Genetic diversity
/ Genetics and Genomics
/ Genome-Wide Association Study
/ Genomes
/ Genotype & phenotype
/ Gout
/ Humans
/ Kidney cancer
/ Kidney diseases
/ Liver
/ Male
/ Medical research
/ Mendelian randomisation
/ Mendelian Randomization Analysis - methods
/ Metabolic disorders
/ Middle Aged
/ Obesity
/ Obesity - genetics
/ Osteoarthritis
/ Osteoporosis
/ Polycystic ovary syndrome
/ Psoriasis
/ Renal failure
/ Rheumatoid arthritis
/ Risk assessment
/ Thromboembolism
/ Thrombosis
/ Triglycerides
/ Vascular diseases
2022
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Disease consequences of higher adiposity uncoupled from its adverse metabolic effects using Mendelian randomisation
by
Bull, Caroline J
, Dunlop, Malcolm G
, Law, Philip
, Sattar, Naveed
, Houlston, Richard
, Bell, Joshua A
, Bell, Jimmy D
, Tyrrell, Jessica
, Wood, Andrew R
, Martin, Susan
, Tomlinson, Ian PM
, Frayling, Timothy M
, Bown, Matthew J
, Stuart, Philip E
, Kabrhel, Christopher
, Thomas, E Louise
, Tsoi, Lam C
, Elder, James T
, Lindström, Sara
, Beaumont, Robin N
, Yaghootkar, Hanieh
, Vincent, Emma E
, Gunter, Marc J
, Papadimitriou, Nikos
in
Adipose tissue
/ Adiposity - genetics
/ Adult
/ Aged
/ Aged, 80 and over
/ Asthma
/ Biobanks
/ Body fat
/ Body Mass Index
/ Cancer
/ Cancer research
/ Cardiometabolic Risk Factors
/ cardiovascular disease
/ Cholesterol
/ Congestive heart failure
/ Consortia
/ Coronary artery
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Disease
/ Enzymes
/ Epidemiology and Global Health
/ Esophagus
/ favourable adiposity
/ Female
/ Fibrillation
/ Gastroesophageal reflux
/ Genetic diversity
/ Genetics and Genomics
/ Genome-Wide Association Study
/ Genomes
/ Genotype & phenotype
/ Gout
/ Humans
/ Kidney cancer
/ Kidney diseases
/ Liver
/ Male
/ Medical research
/ Mendelian randomisation
/ Mendelian Randomization Analysis - methods
/ Metabolic disorders
/ Middle Aged
/ Obesity
/ Obesity - genetics
/ Osteoarthritis
/ Osteoporosis
/ Polycystic ovary syndrome
/ Psoriasis
/ Renal failure
/ Rheumatoid arthritis
/ Risk assessment
/ Thromboembolism
/ Thrombosis
/ Triglycerides
/ Vascular diseases
2022
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Disease consequences of higher adiposity uncoupled from its adverse metabolic effects using Mendelian randomisation
by
Bull, Caroline J
, Dunlop, Malcolm G
, Law, Philip
, Sattar, Naveed
, Houlston, Richard
, Bell, Joshua A
, Bell, Jimmy D
, Tyrrell, Jessica
, Wood, Andrew R
, Martin, Susan
, Tomlinson, Ian PM
, Frayling, Timothy M
, Bown, Matthew J
, Stuart, Philip E
, Kabrhel, Christopher
, Thomas, E Louise
, Tsoi, Lam C
, Elder, James T
, Lindström, Sara
, Beaumont, Robin N
, Yaghootkar, Hanieh
, Vincent, Emma E
, Gunter, Marc J
, Papadimitriou, Nikos
in
Adipose tissue
/ Adiposity - genetics
/ Adult
/ Aged
/ Aged, 80 and over
/ Asthma
/ Biobanks
/ Body fat
/ Body Mass Index
/ Cancer
/ Cancer research
/ Cardiometabolic Risk Factors
/ cardiovascular disease
/ Cholesterol
/ Congestive heart failure
/ Consortia
/ Coronary artery
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Disease
/ Enzymes
/ Epidemiology and Global Health
/ Esophagus
/ favourable adiposity
/ Female
/ Fibrillation
/ Gastroesophageal reflux
/ Genetic diversity
/ Genetics and Genomics
/ Genome-Wide Association Study
/ Genomes
/ Genotype & phenotype
/ Gout
/ Humans
/ Kidney cancer
/ Kidney diseases
/ Liver
/ Male
/ Medical research
/ Mendelian randomisation
/ Mendelian Randomization Analysis - methods
/ Metabolic disorders
/ Middle Aged
/ Obesity
/ Obesity - genetics
/ Osteoarthritis
/ Osteoporosis
/ Polycystic ovary syndrome
/ Psoriasis
/ Renal failure
/ Rheumatoid arthritis
/ Risk assessment
/ Thromboembolism
/ Thrombosis
/ Triglycerides
/ Vascular diseases
2022
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Disease consequences of higher adiposity uncoupled from its adverse metabolic effects using Mendelian randomisation
Journal Article
Disease consequences of higher adiposity uncoupled from its adverse metabolic effects using Mendelian randomisation
2022
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Overview
Some individuals living with obesity may be relatively metabolically healthy, whilst others suffer from multiple conditions that may be linked to adverse metabolic effects or other factors. The extent to which the adverse metabolic component of obesity contributes to disease compared to the non-metabolic components is often uncertain. We aimed to use Mendelian randomisation (MR) and specific genetic variants to separately test the causal roles of higher adiposity with and without its adverse metabolic effects on diseases.
We selected 37 chronic diseases associated with obesity and genetic variants associated with different aspects of excess weight. These genetic variants included those associated with metabolically 'favourable adiposity' (FA) and 'unfavourable adiposity' (UFA) that are both associated with higher adiposity but with opposite effects on metabolic risk. We used these variants and two sample MR to test the effects on the chronic diseases.
MR identified two sets of diseases. First, 11 conditions where the metabolic effect of higher adiposity is the likely primary cause of the disease. Here, MR with the FA and UFA genetics showed opposing effects on risk of disease: coronary artery disease, peripheral artery disease, hypertension, stroke, type 2 diabetes, polycystic ovary syndrome, heart failure, atrial fibrillation, chronic kidney disease, renal cancer, and gout. Second, 9 conditions where the non-metabolic effects of excess weight (e.g. mechanical effect) are likely a cause. Here, MR with the FA genetics, despite leading to lower metabolic risk, and MR with the UFA genetics, both indicated higher disease risk: osteoarthritis, rheumatoid arthritis, osteoporosis, gastro-oesophageal reflux disease, gallstones, adult-onset asthma, psoriasis, deep vein thrombosis, and venous thromboembolism.
Our results assist in understanding the consequences of higher adiposity uncoupled from its adverse metabolic effects, including the risks to individuals with high body mass index who may be relatively metabolically healthy.
Diabetes UK, UK Medical Research Council, World Cancer Research Fund, National Cancer Institute.
Publisher
eLife Sciences Publications Ltd,eLife Sciences Publications, Ltd
Subject
/ Adult
/ Aged
/ Asthma
/ Biobanks
/ Body fat
/ Cancer
/ Cardiometabolic Risk Factors
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Disease
/ Enzymes
/ Epidemiology and Global Health
/ Female
/ Genome-Wide Association Study
/ Genomes
/ Gout
/ Humans
/ Liver
/ Male
/ Mendelian Randomization Analysis - methods
/ Obesity
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