Evidence map›Paper›PMID 22350153›Full record

ArticleMolecular biology reports2012

A Common variant near the melanocortin 4 receptor is associated with low-density lipoprotein cholesterol and total cholesterol in the Chinese Han population.

Liming Tao, Zhou Zhang, Zhuo Chen, Daizhan Zhou, Weidong Li, Mengyuan Kan, Di Zhang, Lin He, Guoying Huang, Yun Liu

Abstract read
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In one paragraph

Article in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 29% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Liming TaoGraduate School of the Chinese Academy of Sciences, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, People's Republic of China.
Zhou Zhang
Zhuo Chen
Daizhan Zhou
Weidong Li
Mengyuan Kan
Di Zhang
Lin He
Guoying Huang
Yun Liu
Shanghai Institutes for Biological Sciences · CNChinese Academy of Sciences · CNFudan University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of recent genome-wide association studies in European populations have reported that variant rs17782313 is significantly associated with obesity and body mass index (BMI). The purpose of the present study was to evaluate the association of rs17782313 with obesity and BMI in the Chinese Han population. We also sought to extend previous studies by determining whether this SNP is associated with plasma lipid levels in the Chinese Han population. Rs17782313 was genotyped in two independent Chinese Han cohorts (Cohort1: n = 2533; Cohort2: n = 2105). In our study, rs17782313 did not show significant association with either obesity or BMI in the Chinese Han population, but showed evidence for association with LDL-C (P ~ 0.003) and TC (P ~ 0.001). Our findings indicate that the variant rs17782313 near MC4R is likely to have an impact on plasma lipid levels of LDL-C and TC in the Chinese Han population.

Indexed as

AgedAsian PeopleCase-Control StudiesCholesterolCholesterol, HDLCholesterol, LDLDiabetes Mellitus, Type 2FemaleGene FrequencyGenetic Association StudiesGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideReceptor, Melanocortin, Type 4CholesterolCholesterol, HDLCholesterol, LDLReceptor, Melanocortin, Type 4Triglycerides

Identifiers

PMID22350153
OpenAlexW2000017507

What OpenQuestion holds

Textmetadata
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.