Evidence map›Paper›PMID 28012008›Full record

ArticleJournal of bone and mineral metabolism2017

Bivariate genome-wide association analyses identified genetic pleiotropic effects for bone mineral density and alcohol drinking in Caucasians.

Shan Lu, Lan-Juan Zhao, Xiang-Ding Chen, Christopher J Papasian, Ke-Hao Wu, Li-Jun Tan, Zhuo-Er Wang, Yu-Fang Pei, Qing Tian, Hong-Wen Deng

Open access · greenAbstract read
In one paragraph

Article in Journal of bone and mineral metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Novel SNP Combination for Predictive Osteoporotic Diagnosis.International journal of molecular sciences · 2025
    Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Phenotypic Plasticity ofFrontiers in microbiology · 2019
    Article
  9. Review
  10. 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

10 authors at 4 institutions in 2 countries.

Shan LuKey Lab of Protein Chemistry and Developmental Biology of Ministry of Education, College of Life Sciences, Hunan Normal University, Changsha, China.
Lan-Juan ZhaoCenter for Bioinformatics and Genomics, Department of Biostatistics, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St.Suite 2001, New Orleans, LA, 70112, USA.
Xiang-Ding ChenKey Lab of Protein Chemistry and Developmental Biology of Ministry of Education, College of Life Sciences, Hunan Normal University, Changsha, China.
Christopher J PapasianSchool of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA.
Ke-Hao WuKey Lab of Protein Chemistry and Developmental Biology of Ministry of Education, College of Life Sciences, Hunan Normal University, Changsha, China.
Li-Jun TanKey Lab of Protein Chemistry and Developmental Biology of Ministry of Education, College of Life Sciences, Hunan Normal University, Changsha, China.
Zhuo-Er WangKey Lab of Protein Chemistry and Developmental Biology of Ministry of Education, College of Life Sciences, Hunan Normal University, Changsha, China.
Yu-Fang PeiCenter of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai, China.
Qing TianCenter for Bioinformatics and Genomics, Department of Biostatistics, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St.Suite 2001, New Orleans, LA, 70112, USA.
Hong-Wen DengKey Lab of Protein Chemistry and Developmental Biology of Ministry of Education, College of Life Sciences, Hunan Normal University, Changsha, China. hdeng2@tulane.edu.
Hunan Normal University · CNTulane University · USUniversity of Missouri–Kansas City · USUniversity of Shanghai for Science and Technology · CN

Funding

Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI HONG-WEN DENG · 2017 to 2026
$24.3M
Proteome-wide Expression Study of Osteogenic CellsP50AR055081 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2007 to 2012
$5.0M
Epigenomewide DNA Methylation Study for Osteoporosis RiskR01AR059781 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2012 to 2016
$3.1M
Alcohol Dependence Genetics in a Large Chinese PedigreeR21AA015973 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2007 to 2008
$345k
NIAAA NIH HHS R21 AA015973NIAMS NIH HHS P50 AR055081NIAMS NIH HHS R01 AR059781NIA NIH HHS U19 AG055373
6 · The paper itself

Abstract

Several studies indicated bone mineral density (BMD) and alcohol intake might share common genetic factors. The study aimed to explore potential SNPs/genes related to both phenotypes in US Caucasians at the genome-wide level. A bivariate genome-wide association study (GWAS) was performed in 2069 unrelated participants. Regular drinking was graded as 1, 2, 3, 4, 5, or 6, representing drinking alcohol never, less than once, once or twice, three to six times, seven to ten times, or more than ten times per week respectively. Hip, spine, and whole body BMDs were measured. The bivariate GWAS was conducted on the basis of a bivariate linear regression model. Sex-stratified association analyses were performed in the male and female subgroups. In males, the most significant association signal was detected in SNP rs685395 in DYNC2H1 with bivariate spine BMD and alcohol drinking (P = 1.94 × 10

Indexed as

Genetic PleiotropyGenome-Wide Association StudyAdultAlcohol DrinkingBone DensityFemaleHaplotypesHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotideWhite PeopleAlcohol drinkingBivariate genome-wide association studyBone mineral densityDYNC2H1

Identifiers

PMID28012008
PMCPMC5812284
OpenAlexW2566684669

What OpenQuestion 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 OpenQuestion graph.