Evidence map›Paper›PMID 29529423›Full record

ReviewCurrent opinion in genetics & development2018

The genetics of adiposity.

Ruth Jf Loos

Abstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Beyond Deterministic Fetal Programming: Intrauterine Exposures and the Multifactorial Origins of Adiposity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  18. Relevance of body composition in phenotyping the obesities.Reviews in endocrine & metabolic disorders · 2023
    Review
  19. A missense mutation in zinc finger homeobox-3 (ZFHX3) impedes growth and alters metabolism and hypothalamic gene expression in mice.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Article
  20. Article

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Ruth Jf LoosThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: ruth.loos@mssm.edu.

Funding

Diverse ancestry biobank to map biomedical traits and elucidate health disparitieU01HG007417 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2013 to 2017
$3.5M
Study of coding variants in human obesity and their functional characterization using human iPSC-derived cellular modelsR01DK110113 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2016 to 2020
$2.8M
Search for obesity-associated genes with protective effects on metabolic healthR01DK107786 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2017 to 2020
$2.3M
Leveraging ancestral diversity to map adiposity loci in HispanicsR01DK101855 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAIMAN, CHRISTOPHER ALAN, LOOS, RUTH JF · 2014 to 2016
$2.1M
NHGRI NIH HHS U01 HG007417NIDDK NIH HHS R01 DK101855NIDDK NIH HHS R01 DK107786NIDDK NIH HHS R01 DK110113
6 · The paper itself

Abstract

Genome-wide discovery efforts have identified more than 500 genetic loci associated with adiposity traits. The vast majority of these loci were found through large-scale meta-analyses for body mass index (BMI) and waist-to-hip ratio (WHR), and in European ancestry populations. However, alternative approaches, focusing on non-European ancestry populations, more refined adiposity measures, and low-frequency (minor allele frequency (MAF)<5%) coding variants, identified additional novel loci that had not been identified before. Loci associated with overall obesity implicate pathways that act in the brain, whereas loci associated with fat distribution point to pathways involved in adipocyte biology. Pinpointing the causal gene within each locus remains challenging, but is a critical step towards translation of genome-wide association study (GWAS) loci into new biology. Ultimately, new genes may provide pharmacological targets for the development of weight loss drugs.

Indexed as

Genetic Predisposition to DiseaseAdiposityBody Mass IndexGenome-Wide Association StudyHumansObesityPolymorphism, Single NucleotideWaist-Hip Ratio

Identifiers

PMID29529423
PMCPMC6089650

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.