Evidence map›Paper›PMID 32341051›Full record

SynthesisBMJ open diabetes research & care2020

Shared genetic architecture and casual relationship between leptin levels and type 2 diabetes: large-scale cross-trait meta-analysis and Mendelian randomization analysis.

Xinpei Wang, Jinzhu Jia, Tao Huang

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Xinpei WangDepartment of Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID 0000-0001-5589-0096
Jinzhu JiaDepartment of Biostatistics, School of Public Health, Peking University, Beijing, China jzjia@pku.edu.cn huangtaotao@pku.edu.cn.
Tao HuangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China jzjia@pku.edu.cn huangtaotao@pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to estimate genetic correlation, identify shared loci and test causality between leptin levels and type 2 diabetes (T2D). RESEARCH DESIGN AND

methodsOur study consists of three parts. First, we calculated the genetic correlation of leptin levels and T2D or glycemic traits by using linkage disequilibrium score regression analysis. Second, we conducted a large-scale genome-wide cross-trait meta-analysis using cross-phenotype association to identify shared loci between trait pairs that showed significant genetic correlations in the first part. In the end, we carried out a bidirectional MR analysis to find out whether there is a causal relationship between leptin levels and T2D or glycemic traits.

resultsWe found positive genetic correlations between leptin levels and T2D (R

conclusionsOur results have shown the shared genetic architecture between leptin levels and T2D and found causality of HOMA-IR on leptin levels, shedding light on the molecular mechanisms underlying the association between leptin levels and T2D.

Indexed as

Diabetes Mellitus, Type 2Mendelian Randomization AnalysisFemaleGenome-Wide Association StudyHumansLeptinPhenotypePregnancyLeptingenetic associationgenetic epidemiologyleptintype 2 diabetes

Identifiers

PMID32341051
PMCPMC7202746

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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 OpenQuestion graph.