Evidence map›Paper›PMID 27618179›Full record

ArticlePloS one2016

Longitudinal Investigation into Genetics in the Conservation of Metabolic Phenotypes in Danish and Chinese Twins.

Shuxia Li, Kirsten Ohm Kyvik, Haiping Duan, Dongfeng Zhang, Zengchang Pang, Jacob Hjelmborg, Qihua Tan, Torben Kruse, Christine Dalgård

Open access · goldAbstract readTwin Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The Danish Twin Registry: An Updated Overview.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2019
    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

9 authors at 3 institutions in 2 countries.

Shuxia LiUnit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Kirsten Ohm KyvikDepartment of Clinical Research, University of Southern Denmark, and Odense Patient data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark.ORCID http://orcid.org/0000-0003-2981-0245
Haiping DuanQingdao Center for Disease Control and Prevention, Qingdao, China.
Dongfeng ZhangDepartment of Public Health, Qingdao University Medical College, Qingdao, China.
Zengchang PangQingdao Center for Disease Control and Prevention, Qingdao, China.
Jacob HjelmborgEpidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Qihua TanUnit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Torben KruseUnit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Christine DalgårdEnvironmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
University of Southern Denmark · DKQingdao Municipal Center for Disease Control and Prevention · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Longitudinal twin studies on long term conservation of individual metabolic phenotypes can help to explore the genetic and environmental basis in maintaining metabolic homeostasis and metabolic health. We performed a longitudinal twin study on 12 metabolic phenotypes from Danish twins followed up for 12 years and Chinese twins traced for 7 years. The study covered a relatively large sample of 502 pairs of Danish adult twins with a mean age at intake of 38 years and a total of 181 Chinese adult twin pairs with a mean baseline age of 39.5 years. Bivariate twin models were fitted to the longitudinal measurements taken at two time points (at baseline and follow-up) to estimate the genetic and environmental contributions to phenotype variation and correlation at and between the two time points. High genetic components in the regulation of intra-individual phenotype correlation or stability over time were estimated in both Danish (h2>0.75 except fasting blood glucose) and Chinese (h2>0.72 except blood pressure) twins; moderate to high genetic contribution to phenotype variation at the two time points were also estimated except for the low genetic regulation on glucose in Danish and on blood pressure in Chinese twins. Meanwhile the bivariate twin models estimated shared environmental contributions to the variance and covariance in fasting blood glucose in Danish twins, and in systolic and diastolic blood pressure, low and high density lipoprotein cholesterol in Chinese twins. Overall, our longitudinal twin study on long-term stability of metabolic phenotypes in Danish and Chinese twins identified a common pattern of high genetic control over phenotype conservation, and at the same time revealed population-specific patterns of genetic and common environmental regulation on the variance as well as covariance of glucose and blood pressure.

Indexed as

PhenotypeAdultChinaDenmarkHumansLongitudinal StudiesMetabolism

Identifiers

PMID27618179
PMCPMC5019416
OpenAlexW2519904306

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.