Evidence map›Paper›PMID 29273888›Full record

ArticleJournal of bone and mineral metabolism2019

Identification of pleiotropic genetic variants affecting osteoporosis risk in a Korean elderly cohort.

Eun Pyo Hong, Ka Hyun Rhee, Dong Hyun Kim, Ji Wan Park

Abstract read
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In one paragraph

Article in Journal of bone and mineral metabolism, 2019. 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
–field-weighted citation impact, top 85% 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, 1 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Eun Pyo HongDepartment of Medical Genetics, College of Medicine, Hallym University, 1 Hallymdaehak-gil, Chuncheon, Gangwon-do, 24252, Republic of Korea.
Ka Hyun RheeDepartment of Medicine, College of Medicine, Hallym University, Chuncheon, Republic of Korea.
Dong Hyun KimDepartment of Social and Preventive Medicine, College of Medicine, Hallym University, Chuncheon, Republic of Korea.
Ji Wan ParkDepartment of Medical Genetics, College of Medicine, Hallym University, 1 Hallymdaehak-gil, Chuncheon, Gangwon-do, 24252, Republic of Korea. jwpark@hallym.ac.kr.ORCID http://orcid.org/0000-0003-0840-1696
Hallym University · KR

Funding

Hallym University HRF-201704-015National Research Foundation of Korea 2014R1A1A3053168National Research Foundation of Korea NRF-2012M3A9D1054450
6 · The paper itself

Abstract

Pleiotropy has important implications for understanding the genetic basis and risk assessment of osteoporosis. Our aim was to identify pleiotropic genetic variants associated with the development of osteoporosis and predict osteoporosis risk by leveraging pleiotropic variants. We evaluated the effects of 21 conventional risk factors and 185 single-nucleotide polymorphisms (SNPs) in 63 inflammation- and metabolism-related genes on osteoporosis risk in a community-based Korean cohort study of 1025 participants, the Hallym Aging Study. Ten nongenetic factors, including sex (female) and hematocrit level, and 12 SNPs across ten genes showed evidence of association with incident osteoporosis in 270 initially osteoporosis-free subjects who completed a 6-year follow up. Three gene variants, rs1801282 (PPARG-Pro12Ala, hazard ratio (HR) = 3.26, P = 0.008), rs1408282 (near EPHA7, HR = 1.87, P = 0.002), and rs2076212 (PNPLA3-Gly115Cys, HR = 2.24, P = 0.024), were associated with significant differences in survival among the three genotype groups (P

Indexed as

Genetic PleiotropyGenetic Predisposition to DiseaseGenetic VariationAgedAsian PeopleCohort StudiesComputer SimulationFemaleFollow-Up StudiesGene OntologyGene Regulatory NetworksHumansIncidenceInflammationKaplan-Meier EstimateMaleOsteoporosisPleiotropyPolygenic risk scoreRisk assessmentSurvival analysis

Identifiers

PMID29273888
OpenAlexW2779679113

What OpenQuestion holds

Textmetadata
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.