Evidence map›Paper›PMID 37521988›Full record

ArticleFrontiers in public health2023

A pedigree-based cohort to study the genetic risk factors for cardiometabolic diseases: study design, baseline characteristics and preliminary results.

Hongchen Zheng, Ying Ye, Hui Huang, Chunlan Huang, Wenjing Gao, Mengying Wang, Wenyong Li, Ren Zhou, Jin Jiang, Siyue Wang and 9 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. 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
–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

1 citing paper in PubMed.

  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

19 authors.

Hongchen ZhengDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Ying YeDepartment of Local Diseases Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China.
Hui HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Chunlan HuangDepartment of Hygiene, Nanjing Country Center for Disease Control and Prevention, Nanjing, China.
Wenjing GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Mengying WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Wenyong LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Ren ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jin JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Siyue WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Xiaoling WuDepartment of Hygiene, Nanjing Country Center for Disease Control and Prevention, Nanjing, China.
Xiaoming HuangDepartment of Hygiene, Nanjing Country Center for Disease Control and Prevention, Nanjing, China.
Weihua CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yansheng YanDepartment of Local Diseases Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, China.
Kuicheng ZhengFujian Provincial Center for Disease Control and Prevention, Fuzhou, China.
Tao WuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We initiated the Fujian Tulou Pedigree-based Cohort (FTPC) as the integration of extended pedigrees and prospective cohort to clarify the genetic and environmental risk factors of cardiometabolic diseases. Methods: FTPC was carried out in Nanjing County, Fujian Province, China from August 2015 to December 2017 to recruit probands with the same surnames and then enroll their first-degree and more distant relatives. The participants were asked to complete questionnaire interview, physical examination, and blood collection. According to the local genealogical booklets and family registry, we reconstructed extended pedigrees to estimate the heritability of cardiometabolic traits. The follow-up of FTPC is scheduled every 5 years in the future. Results: The baseline survey interviewed 2,727 individuals in two clans. A total of 1,563 adult subjects who completed all baseline examinations were used to reconstruct pedigrees and 452 extended pedigrees were finally identified, including one seven-generation pedigree, two five-generation pedigrees, 23 four-generation pedigrees, 186 three-generation pedigrees, and 240 two-generation pedigrees. The average age of the participants was 57.4 years, with 43.6% being males. The prevalence of hypertension, diabetes and dyslipidemia in FTPC were 49.2, 10.0, and 45.2%, respectively. Based on the pedigree structure, the heritability of systolic blood pressure, diastolic blood pressure, fast blood glucose, total cholesterol, triglyceride, high-density lipoprotein, and low-density lipoprotein was estimated at 0.379, 0.306, 0.386, 0.452, 0.568, 0.852, and 0.387, respectively. Conclusion: As an extended pedigree cohort in China, FTPC will provide an important source to study both genetic and environmental risk factors prospectively.

Indexed as

Diabetes MellitusHypertensionAdultFemaleHumansMaleMiddle AgedPedigreeProspective StudiesRisk Factorsbaseline characteristiccardiometabolic diseasecohort studyheritabilitypedigree-based study

Identifiers

PMID37521988
PMCPMC10374840

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.