Evidence map›Paper›PMID 31975641›Full record

ArticleEpigenetics

Osteoporosis- and obesity-risk interrelationships: an epigenetic analysis of GWAS-derived SNPs at the developmental gene

Xiao Zhang, Kenneth C Ehrlich, Fangtang Yu, Xiaojun Hu, Xiang-He Meng, Hong-Wen Deng, Hui Shen, Melanie Ehrlich

Erratum issuedOpen access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epigenetics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Xiao ZhangTulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA.
Kenneth C EhrlichTulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA.
Fangtang YuTulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA.
Xiaojun HuTulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA.
Xiang-He MengLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University , Changsha, Hunan, China.
Hong-Wen DengTulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA.
Hui ShenTulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA.
Melanie EhrlichTulane Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA, USA.
Tulane University · USHunan Normal University · CNRongcheng City People's Hospital · CN

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Ning Liu · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI Chuan Qiu · 2017 to 2026
$24.3M
Identification of Metabolomic Profiles for Sarcopenia Traits in Older Whites and BlacksR01AG061917 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SHEN, HUI, ZHAO, QI · 2019 to 2023
$3.0M
Decoding Methylation Mediated Epigenomic Contributions to Male OsteoporosisR01AR069055 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2017 to 2021
$2.9M
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
NIAMS NIH HHS R01 AR069055NIA NIH HHS R01 AG061917NIA NIH HHS U19 AG055373NIGMS NIH HHS P20 GM109036NIMH NIH HHS R01 MH104680
6 · The paper itself

Abstract

A major challenge in translating findings from genome-wide association studies (GWAS) to biological mechanisms is pinpointing functional variants because only a very small percentage of variants associated with a given trait actually impact the trait. We used an extensive epigenetics, transcriptomics, and genetics analysis of the

Indexed as

DNA MethylationEpigenesis, GeneticPolymorphism, Single NucleotideAdipocytesFemaleHumansMaleMiddle AgedMutation, MissenseObesityOsteoblastsOsteoporosisPromoter Regions, GeneticT-Box Domain ProteinsTranscriptomeT-Box Domain ProteinsTBX15 protein, humanDNasei hypersensitivityenhancersepigeneticsGWASobesityosteoblastsosteoporosispreadipocytespromoterstranscription factor binding sites

Identifiers

PMID31975641
PMCPMC7574382
OpenAlexW3001528594

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.