Literature DB >> 29795468

The case of GWAS of obesity: does body weight control play by the rules?

Manfred J Müller1, Corinna Geisler2, John Blundell3, Abdul Dulloo4, Yves Schutz5, Michael Krawczak6, Anja Bosy-Westphal2, Janna Enderle2, Steven B Heymsfield7.   

Abstract

As yet, genome-wide association studies (GWAS) have not added much to our understanding of the mechanisms of body weight control and of the etiology of obesity. This shortcoming is widely attributed to the complexity of the issues. The appeal of this explanation notwithstanding, we surmise that (i) an oversimplification of the phenotype (namely by the use of crude anthropometric traits) and (ii) a lack of sound concepts of body weight control and, thus, a lack of a clear research focus have impeded better insights most. The idea of searching for polygenetic mechanisms underlying common forms of obesity was born out of the impressive findings made for monogenetic forms of extreme obesity. In the case of common obesity, however, observational studies on normal weight and overweight subjects never provided any strong evidence for a tight internal control of body weight. In addition, empirical studies of weight changes in normal weight and overweight subjects revealed an intra-individual variance that was similar to inter-individual variance suggesting the absence of tight control of body weight. Not least, this lack of coerciveness is reflected by the present obesity epidemic. Finally, data on detailed body composition highlight that body weight is too heterogeneous a phenotype to be controlled as a single entity. In summary GWAS of obesity using crude anthropometric traits have likely been misled by popular heritability estimates that may have been inflated in the first place. To facilitate more robust and useful insights into the mechanisms of internal control of human body weight and, consequently, the genetic basis of obesity, we argue in favor of a broad discussion between scientists from the areas of integrative physiologic and of genomics. This discussion should aim at better conceived studies employing biologically more meaningful phenotypes based on in depth body composition analysis. To advance the scientific community-including the editors of our top journals-needs a re-launch of future GWAS of obesity.

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Year:  2018        PMID: 29795468     DOI: 10.1038/s41366-018-0081-6

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  14 in total

Review 1.  Effect of Over- and Underfeeding on Body Composition and Related Metabolic Functions in Humans.

Authors:  Manfred James Müller; Anja Bosy-Westphal
Journal:  Curr Diab Rep       Date:  2019-11-04       Impact factor: 4.810

Review 2.  Reconceptualizing anorexia nervosa.

Authors:  Cynthia M Bulik; Rachael Flatt; Afrouz Abbaspour; Ian Carroll
Journal:  Psychiatry Clin Neurosci       Date:  2019-07-01       Impact factor: 5.188

3.  Melanocortin 4 Receptor Gene Sequence Analyses in Diverse Populations.

Authors:  Michael A Edwards; Tiffany Tattoli; Gagan Sureja; Aaron Sykes; Scott Kaniper; Glenn S Gerhard
Journal:  Genet Test Mol Biomarkers       Date:  2019-11-19

Review 4.  Obesity Genomics and Metabolomics: a Nexus of Cardiometabolic Risk.

Authors:  Jessica A Regan; Svati H Shah
Journal:  Curr Cardiol Rep       Date:  2020-10-10       Impact factor: 2.931

5.  GWAS for BMI: a treasure trove of fundamental insights into the genetic basis of obesity.

Authors:  J R Speakman; R J F Loos; S O'Rahilly; J N Hirschhorn; D B Allison
Journal:  Int J Obes (Lond)       Date:  2018-07-06       Impact factor: 5.095

Review 6.  Recent advances in understanding body weight homeostasis in humans.

Authors:  Manfred J Müller; Corinna Geisler; Steven B Heymsfield; Anja Bosy-Westphal
Journal:  F1000Res       Date:  2018-07-09

7.  The Q223R Polymorphism of the Leptin Receptor Gene as a Predictor of Weight Gain in Childhood Obesity and the Identification of Possible Factors Involved.

Authors:  Helena Marcos-Pasero; Elena Aguilar-Aguilar; Gonzalo Colmenarejo; Ana Ramírez de Molina; Guillermo Reglero; Viviana Loria-Kohen
Journal:  Genes (Basel)       Date:  2020-05-17       Impact factor: 4.096

8.  Increasing Energy Flux to Maintain Diet-Induced Weight Loss.

Authors:  Christopher L Melby; Hunter L Paris; R Drew Sayer; Christopher Bell; James O Hill
Journal:  Nutrients       Date:  2019-10-21       Impact factor: 5.717

Review 9.  Cilia signaling and obesity.

Authors:  Staci E Engle; Ruchi Bansal; Patrick J Antonellis; Nicolas F Berbari
Journal:  Semin Cell Dev Biol       Date:  2020-05-25       Impact factor: 7.727

Review 10.  Epigenetic disturbances in obesity and diabetes: Epidemiological and functional insights.

Authors:  Marie Loh; Li Zhou; Hong Kiat Ng; John Campbell Chambers
Journal:  Mol Metab       Date:  2019-09       Impact factor: 7.422

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