Evidence map›Paper›PMID 25927701›Full record

Trial reportPloS one2015

Determination of Zygosity in Adult Chinese Twins Using the 450K Methylation Array versus Questionnaire Data.

Biqi Wang, Wenjing Gao, Canqing Yu, Weihua Cao, Jun Lv, Shengfeng Wang, Zengchang Pang, Liming Cong, Hua Wang, Xianping Wu and 1 more

Abstract readClinical TrialComparative StudyTwin Study
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  8. [Association between DNA methylation clock and obesity-related indicators: A longitudinal twin study].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
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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

11 authors.

Biqi WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Wenjing GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Weihua CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Shengfeng WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Zengchang PangQingdao Center for Diseases Control and Prevention, Qingdao, 266033, China.
Liming CongZhejiang Center for Disease Control and Prevention, Hangzhou, 310051, China.
Hua WangJiangsu Center for Disease Control and Prevention, Nanjing, 210009, China.
Xianping WuSichuan Center for Disease Control and Prevention, Chengdu, 610041, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have shown that both single nucleotide polymorphisms (SNPs) and questionnaires-based method can be used for twin zygosity determination, but few validation studies have been conducted using Chinese populations. In the current study, we recruited 192 same sex Chinese adult twin pairs to evaluate the validity of using genetic markers-based method and questionnaire-based method in zygosity determination. We considered the relatedness analysis based on more than 0.6 million SNPs genotyping as the golden standards for zygosity determination. After quality control, qualified twins were left for relatedness analysis based on identical by descent calculation. Then those same sex twin pairs were included in the zygosity questionnaire validation analysis. Logistic regression model was applied to assess the discriminant ability of age, sex and the three questions in zygosity determination. Leave one out cross-validation was used as a measurement of internal validation. The results of zygosity determination based on 65 SNPs in 450k methylation array were all consistent with genotyping. Age, gender, questions of appearance confused by strangers and previously perceived zygosity consisted of the most predictable model with a consistency rate of 0.8698, cross validation predictive error of 0.1347. For twin studies with genotyping and\or 450k methylation array, there would be no need to conduct other zygosity testing for the sake of costs consideration.

Indexed as

DNA MethylationPolymorphism, Single NucleotideSurveys and QuestionnairesAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedTwins, DizygoticTwins, Monozygotic

Identifiers

PMID25927701
PMCPMC4415785

What OpenQuestion holds

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LicenceCC BY
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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.