Evidence map›Paper›PMID 34238772›Full record

ReviewJournal of genetics2021

Genomics of body fat distribution.

Simmi Saini, Gagandeep Kaur Walia, Mohinder Pal Sachdeva, Vipin Gupta

Abstract readReview
PubMed
In one paragraph

Review in Journal of genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

4 authors at 2 institutions in 1 country.

Simmi SainiDepartment of Anthropology, University of Delhi, Delhi 110 007, India. udaiig@gmail.com.
Gagandeep Kaur Walia
Mohinder Pal Sachdeva
Vipin Gupta
University of Delhi · INPublic Health Foundation of India · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central obesity and body fat distribution measured by waist circumference (WC) and waist hip ratio (WHR) are good predictors of cardio metabolic adversities independent of overall adiposity. There are substantial evidence that body fat distribution is controlled by genetic factors. Even after accounting for body mass index (BMI), individual variation in body fat distribution is heritable, with estimates ranging from 31-76%. Individuals genetically predisposed to store more fat in visceral depots are at higher risk of developing metabolic complications. Several linkage and genomewide association studies (GWAS) for measures of body fat distribution uncovered numerous loci harbouring genes potentially regulating body fat distribution. Additionally, genes with fat depot specific expression patterns (especially, subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT)) have provided plausible candidate genes involved in body fat regulation. Further, sexual dimorphism have revealed a remarkable heterogeneity in the genetic regulation of body fat distribution. More than hundred loci have been identified through GWAS, displaying more pronounced effect in females than males, suggesting that both sexes share potentially different biological architecture in traits related to body fat distribution. Moreover, the handful of genes identified by GWAS have been validated in different population groups. This article aims at reviewing the current knowledge of genomic basis of body fat distribution.

Indexed as

Body Fat DistributionGenetic Predisposition to DiseaseBody CompositionBody Mass IndexFemaleGenome-Wide Association StudyHumansMaleObesitySex Characteristics

Identifiers

PMID34238772
OpenAlexW3165350112

What OpenQuestion holds

Textmetadata
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.