Evidence map›Paper›PMID 37524979›Full record

ArticleJournal of endocrinological investigation2024

Age effect on the shared etiology of glycemic traits and serum lipids: evidence from a Chinese twin study.

Y Wang, X Hong, W Cao, J Lv, C Yu, T Huang, D Sun, C Liao, Y Pang, Z Pang and 6 more

Abstract readTwin Study
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Y WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
X HongDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
W CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
J LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
C YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
T HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
D SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
C LiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Y PangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Z PangQingdao Center for Disease Control and Prevention, Qingdao, China.
M YuZhejiang Center for Disease Control and Prevention, Hangzhou, China.
H WangJiangsu Center for Disease Control and Prevention, Nanjing, China.
X WuSichuan Center for Disease Control and Prevention, Chengdu, China.
Y LiuHeilongjiang Center for Disease Control and Prevention, Harbin, China.
W GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China. pkuepigwj@126.com.ORCID http://orcid.org/0000-0002-8242-0775
L LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China. lmleeph@vip.163.com.

Funding

National Natural Science Foundation of China 81973126National Natural Science Foundation of China 82073633Special Fund for Health Scientific Research in the Public Welfare 201002007Special Fund for Health Scientific Research in the Public Welfare 201502006
6 · The paper itself

Abstract

purposeDiabetes and dyslipidemia are among the most common chronic diseases with increasing global disease burdens, and they frequently occur together. The study aimed to investigate differences in the heritability of glycemic traits and serum lipid indicators and differences in overlapping genetic and environmental influences between them across age groups.

methodsThis study included 1189 twin pairs from the Chinese National Twin Registry and divided them into three groups: aged ≤ 40, 41-50, and > 50 years old. Univariate and bivariate structural equation models (SEMs) were conducted on glycemic indicators and serum lipid indicators, including blood glucose (GLU), glycated hemoglobin A1c (HbA

resultsAll phenotypes showed moderate to high heritability (0.37-0.64). The heritability of HbA

conclusionAcross the whole adulthood, genetic influences were consistently important for GLU, TC, TG, LDL-C and HDL-C, and age may affect the shared genetic influences between glycemic traits and serum lipids. Further studies are needed to elucidate the role of age in the interactions of genes related to glycemic traits and serum lipids.

Indexed as

Blood GlucoseLipidsAdultCausalityCholesterol, HDLCholesterol, LDLEast Asian PeopleGlycated HemoglobinHumansMiddle AgedPhenotypeTriglyceridesBlood GlucoseCholesterol, HDLCholesterol, LDLGlycated HemoglobinLipidsTriglyceridesBlood glucoseCorrelationHeritabilityLipidsStructural equation modelingTwin study

What Socratic holds

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Registered trials

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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 Socratic graph.