ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2006
Genetics of obesity.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 149 citations in OpenAlex.
- Medical progress, relaxed natural selection, and adolescent obesity: implications for global health.Future science OA · 2026Article
- Mapping of genotype-by-environment interaction loci for Metabolic Syndrome-like traits using the multi-parentbioRxiv : the preprint server for biology · 2025Article
- Increased expression of the small lysosomal gene SVIP in the Drosophila gut suppresses pathophysiological features associated with a high-fat diet.Biology open · 2025Article
- Systemic analysis of lipid metabolism from individuals to multi-organism systems.Molecular omics · 2024Article
- MC4R Variants Modulate α-MSH and Setmelanotide Induced Cellular Signaling at Multiple Levels.The Journal of clinical endocrinology and metabolism · 2024Article
- The Effect of Polymorphisms of Energy Metabolism Genes on Metabolic Disorders in Overweight Adolescents of Two Ethnicities.Bulletin of experimental biology and medicine · 2022Observational
- A genetic map of the mouse dorsal vagal complex and its role in obesity.Nature metabolism · 2021Article
- Dishonesty is more affected by BMI status than by short-term changes in glucose.Scientific reports · 2020Article
- A Targeted Next Generation Sequencing Panel for Non-syndromic Early Onset Severe Obesity and Identification of Novel Likely -Pathogenic Variants in the MC4R and LEP Genes.Indian journal of pediatrics · 2020Article
- Environment and Gene Association With Obesity and Their Impact on Neurodegenerative and Neurodevelopmental Diseases.Frontiers in neuroscience · 2020Review
- Body Mass Index versus Other Adiposity Traits: Best Predictor of Cardiometabolic Risk.Iranian journal of public health · 2019Article
- A high-fat diet alters genome-wide DNA methylation and gene expression in SM/J mice.BMC genomics · 2018Article
- Identification of novel LEPR mutations in Pakistani families with morbid childhood obesity.BMC medical genetics · 2018Article
- The TreadWheel: Interval Training Protocol for Gently Induced Exercise in Drosophila melanogaster.Journal of visualized experiments : JoVE · 2018Article
- Article
- Ovarian hormones and obesity.Human reproduction update · 2017Review
- p75 Neurotrophin Receptor Regulates Energy Balance in Obesity.Cell reports · 2016Article
- Intergenerational Transmission of Overweight and Obesity from Parents to Their Adolescent Offspring - The HUNT Study.PloS one · 2016Article
- Metabolomic and Gene Expression Profiles Exhibit Modular Genetic and Dietary Structure Linking Metabolic Syndrome Phenotypes in Drosophila.G3 (Bethesda, Md.) · 2015Article
- Association of Body Mass Index with Depression, Anxiety and Suicide-An Instrumental Variable Analysis of the HUNT Study.PloS one · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Considerable attention is currently being paid to the secular changes in food intake and physical activity that underlie the increase in the prevalence of obesity that is apparent in many societies. While this is laudable it would be unwise to view these environmental factors in isolation from the biological factors that normally control body weight and composition and the compelling evidence that inter-individual differences in susceptibility to obesity have strong genetic determinants. This is particularly important, as it is only in the past decade that we have begun to obtain substantive information regarding the molecular constituents of pathways controlling mammalian energy balance and therefore, for the first time, are in a position to achieve a better mechanistic understanding of this disease. Population-based association and linkage studies have highlighted a number of loci at which genetic variation is associated with obesity and related phenotypes and the identification and characterization of monogenic obesity syndromes has been particularly fruitful. While there is widespread acceptance that hereditary factors might predispose to human obesity, it is frequently assumed that such factors would influence metabolic rate or the selective partitioning of excess calories into fat. However, it is notable that, thus far, all monogenic defects causing human obesity actually disrupt hypothalamic pathways and have a profound effect on satiety and food intake. To conclude, the evidence we have to date suggests that the major impact of genes on human obesity is just as likely (or perhaps more likely) to directly impact on hunger, satiety and food intake rather than metabolic rate or nutrient partitioning. At the risk of oversimplification, it seems that from an aetiological/genetic standpoint, human obesity appears less a metabolic than a neuro-behavioural disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.