Evidence map›Paper›PMID 29495392›Full record

ArticleNutrients2018

Impact of Genetic Variants on the Individual Potential for Body Fat Loss.

Soyeon Cha, Joon Ho Kang, Jae-Hak Lee, Jinki Kim, Heewon Kim, Yoon Jung Yang, Woong-Yang Park, Jinho Kim

Abstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Trial
  3. Article
  4. Review
  5. Observational
  6. Article
  7. 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

8 authors.

Soyeon ChaSamsung Genome Institute, Samsung Medical Center, Gangnam-gu, Seoul 06351, Korea. scha@ncsu.edu.ORCID 0000-0003-2269-4536
Joon Ho KangSamsung Genome Institute, Samsung Medical Center, Gangnam-gu, Seoul 06351, Korea. kangx342@gmail.com.
Jae-Hak LeeSamsung Genome Institute, Samsung Medical Center, Gangnam-gu, Seoul 06351, Korea. noonolee@gmail.com.
Jinki KimSoftware R&D Center, Samsung Electronics, Hwaseong 18448, Gyeonggi-do, Korea. jk.neo.kim@samsung.com.
Heewon KimSamsung Genome Institute, Samsung Medical Center, Gangnam-gu, Seoul 06351, Korea. wonniey@gmail.com.
Yoon Jung YangDepartment of Food and Nutrition, Dongduk Women's University, Seoul 02748, Korea. yjyang@dongduk.ac.kr.ORCID 0000-0001-9395-0854
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Gangnam-gu, Seoul 06351, Korea. woongyang.park@samsung.com.
Jinho KimSamsung Genome Institute, Samsung Medical Center, Gangnam-gu, Seoul 06351, Korea. jinho.jk.kim@samsung.com.ORCID 0000-0001-9524-9981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The past decade has witnessed the discovery of obesity-related genetic variants and their functions through genome-wide association studies. Combinations of risk alleles can influence obesity phenotypes with different degrees of effectiveness across various individuals by interacting with environmental factors. We examined the interaction between genetic variation and changes in dietary habits or exercise that influences body fat loss from a large Korean cohort (

Indexed as

AdiposityPolymorphism, Single NucleotideAllelesBody Mass IndexCohort StudiesDietDietary CarbohydratesDietary FatsExerciseFemaleFollow-Up StudiesGene-Environment InteractionGenetic Association StudiesHumansMaleMiddle AgedDietary CarbohydratesDietary FatsBMIbody fatdietexercisegenetic risk scoreGWAShealthobesity

Identifiers

PMID29495392
PMCPMC5872684

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.