Evidence map›Paper›PMID 30944420›Full record

SynthesisInternational journal of obesity (2005)2019

Identification of a 1p21 independent functional variant for abdominal obesity.

Lu Liu, Yu-Fang Pei, Tao-Le Liu, Wen-Zhu Hu, Xiao-Lin Yang, Shan-Cheng Li, Rong Hai, Shu Ran, Lan Juan Zhao, Hui Shen and 5 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in International journal of obesity (2005), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

15 authors at 7 institutions in 2 countries.

Lu Liu *Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, China.
Yu-Fang Pei *Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China.
Tao-Le Liu *Center for Circadian Clock, School of Biology & Basic Medical Sciences, Medical College of Soochow University, Suzhou, China.
Wen-Zhu HuCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, China.
Xiao-Lin YangCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, China.
Shan-Cheng LiDepartment of Orthopedics, the Second Affiliated Hospital, Soochow University, Suzhou, China.
Rong HaiInner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
Shu RanSchool of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Lan Juan ZhaoTulane Center for Genomics and Bioinformatics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Hui ShenTulane Center for Genomics and Bioinformatics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Qing TianTulane Center for Genomics and Bioinformatics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Hong-Mei XiaoSchool of Basic Medical Sciences, Central South University, 410000, Changsha, China.
Kun ZhangDepartment of Computer Science, Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA, 70125, USA.
Hong-Wen Deng *Tulane Center for Genomics and Bioinformatics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA. hdeng2@tulane.edu.
Lei Zhang *Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, China. lzhang6@suda.edu.cn.
Soochow University · CNTulane University · USCentral South University · CNInner Mongolia People's Hospital · CNSecond Affiliated Hospital of Soochow University · CNUniversity of Shanghai for Science and Technology · CNXavier University of Louisiana · US

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Jiang He · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI Qi Zhao · 2017 to 2026
$24.3M
RISK FACTORS FOR VERTEBRAL FRACTURE AND BONE LOSSR01AR041398 · NIAMS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI KIEL, DOUGLAS P. · 1991 to 2025
$16.1M
Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
Women's Health Initiative Memory Study (WHIMS)N01WH44221 · WH · WAKE FOREST UNIVERSITY HEALTH SCIENCES · 2009 to 2010
$3.1M
Epigenomewide DNA Methylation Study for Osteoporosis RiskR01AR059781 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2012 to 2016
$3.1M
Decoding Methylation Mediated Epigenomic Contributions to Male OsteoporosisR01AR069055 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2017 to 2021
$2.9M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
REGULATION OF CAROTID BODY AFFERENT DEVELOPMENTR01HL042131 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI KATZ, DAVID M. · 1989 to 2008
$2.5M
CLIN CTR CLIN TRIAL/OBSERVATIONAL STUDY OF WHIN01WH042119 · WH · YESHIVA UNIVERSITY · PI WASSERTHEIL-SMOLLER, SYLVIA · 1994 to 2001
$2.2M
Integration of brain imaging with genomic and epigenomic dataR01MH104680 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI CALHOUN, VINCE D, DENG, HONG-WEN · 2014 to 2017
$2.1M
NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01WH32102NHLBI NIH HHS N01WH32105NHLBI NIH HHS N01WH32118NHLBI NIH HHS N01WH42107NHLBI NIH HHS N01WH42111NHLBI NIH HHS N01 WH42114NHLBI NIH HHS N01WH42118NHLBI NIH HHS N01WH42120NHLBI NIH HHS N01WH42126NHLBI NIH HHS N01WH42130NHLBI NIH HHS N01WH42131NHLBI NIH HHS N02 HL064278NIAMS NIH HHS R01 AR041398NIAMS NIH HHS R01 AR059781NIAMS NIH HHS R01 AR069055NIA NIH HHS U19 AG055373NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIGMS NIH HHS P20 GM109036NIH HHS N01 WH42124NIMH NIH HHS R01 MH104680NIMH NIH HHS R01 MH118695WHI NIH HHS N01 WH022110WHI NIH HHS N01WH24152WHI NIH HHS N01WH32100WHI NIH HHS N01WH32101WHI NIH HHS N01WH32106WHI NIH HHS N01WH32108WHI NIH HHS N01WH32109WHI NIH HHS N01WH32111WHI NIH HHS N01WH32112WHI NIH HHS N01WH32113WHI NIH HHS N01 WH32115WHI NIH HHS N01WH32119WHI NIH HHS N01WH32122WHI NIH HHS N01WH42108WHI NIH HHS N01WH42109WHI NIH HHS N01WH42110WHI NIH HHS N01WH42113WHI NIH HHS N01WH42115WHI NIH HHS N01WH42117WHI NIH HHS N01WH42119WHI NIH HHS N01WH42121WHI NIH HHS N01WH42122WHI NIH HHS N01WH42123WHI NIH HHS N01WH42125WHI NIH HHS N01WH42129WHI NIH HHS N01WH42132WHI NIH HHS N01WH44221
6 · The paper itself

Abstract

objectivesAiming to uncover the genetic basis of abdominal obesity, we performed a genome-wide association study (GWAS) meta-analysis of trunk fat mass adjusted by trunk lean mass (TFM SUBJECTS: A total of 11,569 subjects from six samples were included into the GWAS meta-analysis.

methodsMeta-analysis was performed by a weighted fixed-effects model. In silico replication analysis was performed in the UK-Biobank (UKB) sample (N = 331,093) and in the GIANT study (N up to 110,204). Cis-expression QTL (cis-eQTL) analysis, dual-luciferase reporter assay and electrophoresis mobility shift assay (EMSA) were conducted to examine the functional relevance of the identified SNPs. At last, differential gene expression analysis (DGEA) was performed.

resultsWe identified an independent SNP rs12409479 at 1p21 (MAF = 0.07, p = 7.26 × 10

conclusionsTaken together, we hypothesize a regulating path from rs12409479 to trunk fat mass development through its allelic specific regulation of PTBP2 gene expression, thus providing some novel insight into the genetic basis of abdominal obesity.

Indexed as

AgedBody Mass IndexChromosomes, Human, Pair 1FemaleGene Expression ProfilingGenome-Wide Association StudyHumansMiddle AgedNerve Tissue ProteinsObesity, AbdominalPolymorphism, Single NucleotidePolypyrimidine Tract-Binding ProteinNerve Tissue ProteinsPolypyrimidine Tract-Binding ProteinPTBP2 protein, human

Identifiers

PMID30944420
PMCPMC6776704
OpenAlexW2993193153

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.