Evidence map›Paper›PMID 26865924›Full record

ArticleNutrition research and practice2016

Genome-wide association study for the interaction between BMR and BMI in obese Korean women including overweight.

Myoungsook Lee, Dae Young Kwon, Myung-Sunny Kim, Chong Ran Choi, Mi-Young Park, Ae-Jung Kim

Open access · hybridAbstract read
In one paragraph

Article in Nutrition research and practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  16. Neuregulin 3 and its roles in schizophrenia risk and presentation.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2018
    Review
  17. Association between polymorphisms inDiabetes, metabolic syndrome and obesity : targets and therapy · 2018
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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

6 authors at 4 institutions in 1 country.

Myoungsook LeeResearch Institute of Obesity Science, Sungshin Women's University, 55, Dobong-ro 76ga-gil, Gangbuk-gu, Seoul 01133, Korea.; Department of Food and Nutrition, Sungshin Women's University, 55, Dobong-ro 76ga-gil, Gangbuk-gu, Seoul 01133, Korea.
Dae Young KwonNutrition and Metabolism Research Group, Korea Food Research Institute, Gyenggi-do, 13539, Korea.
Myung-Sunny KimNutrition and Metabolism Research Group, Korea Food Research Institute, Gyenggi-do, 13539, Korea.
Chong Ran ChoiResearch Institute of Obesity Science, Sungshin Women's University, 55, Dobong-ro 76ga-gil, Gangbuk-gu, Seoul 01133, Korea.
Mi-Young ParkResearch Institute of Obesity Science, Sungshin Women's University, 55, Dobong-ro 76ga-gil, Gangbuk-gu, Seoul 01133, Korea.; Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.
Ae-Jung KimGraduate School of Alternative Medicine, Kyonggi University, Seoul 03746, Korea.
Korea Food Research Institute · KRSungshin Women's University · KRKyonggi University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThis is the first study to identify common genetic factors associated with the basal metabolic rate (BMR) and body mass index (BMI) in obese Korean women including overweight. This will be a basic study for future research of obese gene-BMR interaction. SUBJECTS/

methodsThe experimental design was 2 by 2 with variables of BMR and BMI. A genome-wide association study (GWAS) of single nucleotide polymorphisms (SNPs) was conducted in the overweight and obesity (BMI > 23 kg/m(2)) compared to the normality, and in women with low BMR (< 1426.3 kcal/day) compared to high BMR. A total of 140 SNPs reached formal genome-wide statistical significance in this study (P < 1 × 10(-4)). Surveys to estimate energy intake using 24-h recall method for three days and questionnaires for family history, a medical examination, and physical activities were conducted.

resultsWe found that two NRG3 gene SNPs in the 10q23.1 chromosomal region were highly associated with BMR (rs10786764; P = 8.0 × 10(-7), rs1040675; 2.3 × 10(-6)) and BMI (rs10786764; P = 2.5 × 10(-5), rs10786764; 6.57 × 10(-5)). The other genes related to BMI (HSD52, TMA16, MARCH1, NRG1, NRXN3, and STK4) yielded P <10 × 10(-4). Five new loci associated with BMR and BMI, including NRG3, OR8U8, BCL2L2-PABPN1, PABPN1, and SLC22A17 were identified in obese Korean women (P < 1 × 10(-4)). In the questionnaire investigation, significant differences were found in the number of starvation periods per week, family history of stomach cancer, coffee intake, and trial of weight control in each group.

conclusionWe discovered several common BMR- and BMI-related genes using GWAS. Although most of these newly established loci were not previously associated with obesity, they may provide new insights into body weight regulation. Our findings of five common genes associated with BMR and BMI in Koreans will serve as a reference for replication and validation of future studies on the metabolic rate.

Indexed as

BMIBMRGWASobesity

Identifiers

PMID26865924
PMCPMC4742305
OpenAlexW2268485003

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.