Article in European journal of human genetics : EJHG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 28% 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
1 citing paper in PubMed, 7 citations in OpenAlex.
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
13 authors at 2 institutions in 2 countries.
Xin-Tong WeiDepartment of Epidemiology and Health Statistics, School of Public Health, Medical College, Soochow University, Suzhou, Jiangsu, PR China.
Gui-Juan FengDepartment of Epidemiology and Health Statistics, School of Public Health, Medical College, Soochow University, Suzhou, Jiangsu, PR China.
Hong ZhangJiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou, Jiangsu, PR China.
Qian XuDepartment of Epidemiology and Health Statistics, School of Public Health, Medical College, Soochow University, Suzhou, Jiangsu, PR China.
Jing-Jing NiJiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou, Jiangsu, PR China.
Min ZhaoJiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou, Jiangsu, PR China.
Xiao-Lin YangJiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou, Jiangsu, PR China.
Qing TianDepartment of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Hui ShenDepartment of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.ORCID http://orcid.org/0000-0003-0335-6064
Rong HaiHealth Commission of Inner Mongolia Autonomous Region, Hohhot, Inner Mongolia Autonomous Region, PR China.
Hong-Wen DengDepartment of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA. hdeng2@tulane.edu.ORCID http://orcid.org/0000-0002-0387-8818
Lei ZhangJiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou, Jiangsu, PR China. lzhang6@suda.edu.cn.ORCID http://orcid.org/0000-0002-1007-4834
Yu-Fang PeiDepartment of Epidemiology and Health Statistics, School of Public Health, Medical College, Soochow University, Suzhou, Jiangsu, PR China. ypei@suda.edu.cn.ORCID http://orcid.org/0000-0002-9157-0759
Soochow University · CNTulane University · US
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 HONG-WEN DENG · 2017 to 2026
$24.3M
GENETICS OF BONE LOSS AND BONE STRENGTH IN WOMEN &MENP01AG018397 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI ECONS, MICHAEL J · 2000 to 2010
$19.1M
RISK FACTORS FOR VERTEBRAL FRACTURE AND BONE LOSSR01AR041398 · NIAMS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI KIEL, DOUGLAS P. · 1991 to 2025
$16.1M
Epigenomewide DNA Methylation Study for Osteoporosis RiskR01AR059781 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2012 to 2016
$3.1M
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
WOMENS HEALTH INITIATIVE-N01WH22110N01WH022110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ROSS, PRENTICE · 1992 to 2006
$1.2M
SLEEP AND ENTRAINMENT OF SCN FUNCTIONR01HL064278 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI STROHL, KINGMAN PERKINS · 1999 to 2002
$871k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
Osteoporosis and obesity are two severe complex diseases threatening public health worldwide. Both diseases are under strong genetic determinants as well as genetically correlated. Aiming to identify pleiotropic genes underlying obesity and osteoporosis, we performed a bivariate genome-wide association (GWA) meta-analysis of hip bone mineral density (BMD) and total body fat mass (TBFM) in 12,981 participants from seven samples, and followed by in silico replication in the UK biobank (UKB) cohort sample (N = 217,822). Combining the results from discovery meta-analysis and replication sample, we identified one novel locus, 17q21.31 (lead SNP rs12150327, NC_000017.11:g.44956910G > A, discovery bivariate P = 4.83 × 10
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.
Pleiotropic genomic variants at 17q21.31 associated with bone mineral density and body fat mass: a bivariate genome-wide association analysis. · full record | OpenQuestion