ArticleInternational journal of obesity (2005)2018
GWAS for BMI: a treasure trove of fundamental insights into the genetic basis of obesity.
Article in International journal of obesity (2005), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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
43 citing papers in PubMed.
- Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review.BioData mining · 2026Review
- Genetic Predisposition to Excess Body Weight and Survival in Women Diagnosed With Breast Cancer.JAMA network open · 2026Article
- Genetic Variants in Metabolic Pathways and Their Role in Cardiometabolic Risk: An Observational Study of >4000 Individuals.Biomedicines · 2025Article
- Genome-wide association studies and genetic architecture of carcass traits in Angus beef cattle using imputed whole-genome sequences data.Genetics, selection, evolution : GSE · 2025Article
- Whole genome sequencing analysis of body mass index identifies novel African ancestry-specific risk allele.Nature communications · 2025Article
- Exploring Interaction between Genetically Predicted Body Mass Index and Serum 25-Hydroxyvitamin D Levels on the Odds for Psoriasis in UK Biobank and the HUNT Study: A Factorial Mendelian Randomization Study.JID innovations : skin science from molecules to population health · 2025Article
- Considerations on efforts needed to improve our understanding of the genetics of obesity.International journal of obesity (2005) · 2025Review
- The interplay between nutrigenomics and low-carbohydrate ketogenic diets in personalized healthcare.Frontiers in nutrition · 2025Review
- A bottom-up approach dramatically increases the predictability of body mass from personality traits.PloS one · 2024Article
- Design, analysis, and interpretation of treatment response heterogeneity in personalized nutrition and obesity treatment research.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023 · on this mapReview
- Rare predicted loss of function alleles in Bassoon (BSN) are associated with obesity.NPJ genomic medicine · 2023Article
- rs67047829 genotypes of ERV3-1/ZNF117 are associated with lower body mass index in the Polish population.Scientific reports · 2023Article
- Life course effects of genetic susceptibility to higher body size on body fat and lean mass: prospective cohort study.International journal of epidemiology · 2023Article
- Article
- Relationships between body fat distribution and metabolic syndrome traits and outcomes: A mendelian randomization study.PloS one · 2023Article
- RNA modification-related variants in genomic loci associated with body mass index.Human genomics · 2022Article
- Breastfeeding moderates the relationship betweenObesity science & practice · 2022Article
- Risk variants of obesity associated genes demonstrate BMI raising effect in a large cohort.PloS one · 2022Article
- Associations between Gene-Gene Interaction and Overweight/Obesity of 12-Month-Old Chinese Infants.BioMed research international · 2022Article
- Cilia signaling and obesity.Seminars in cell & developmental biology · 2021Review
Corrections and comments
- Commented on by
Authors and funding
5 authors.
Funding
Abstract
Muller et al. [1] have provided a strong critique of the Genome-Wide Association Studies (GWAS) of body-mass index (BMI), arguing that the GWAS approach for the study of BMI is flawed, and has provided us with few biological insights. They suggest that what is needed instead is a new start, involving GWAS for more complex energy balance related traits. In this invited counter-point, we highlight the substantial advances that have occurred in the obesity field, directly stimulated by the GWAS of BMI. We agree that GWAS for BMI is not perfect, but consider that the best route forward for additional discoveries will likely be to expand the search for common and rare variants linked to BMI and other easily obtained measures of obesity, rather than attempting to perform new, much smaller GWAS for energy balance traits that are complex and expensive to measure. For GWAS in general, we emphasise that the power from increasing the sample size of a crude but easily measured phenotype outweighs the benefits of better phenotyping.
Indexed as
Identifiers
What OpenQuestion holds
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.