Evidence map›Paper›PMID 26256109›Full record

SynthesisJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2016

Identification of IDUA and WNT16 Phosphorylation-Related Non-Synonymous Polymorphisms for Bone Mineral Density in Meta-Analyses of Genome-Wide Association Studies.

Tianhua Niu, Ning Liu, Xun Yu, Ming Zhao, Hyung Jin Choi, Paul J Leo, Matthew A Brown, Lei Zhang, Yu-Fang Pei, Hui Shen and 23 more

Open access · bronzeAbstract readMeta-AnalysisMulticenter Study
In one paragraph

Synthesis in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  9. Pharmacogenomics and personalized medicine · 2021
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  11. Associations ofDisease markers · 2019
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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

33 authors at 17 institutions in 6 countries.

Tianhua NiuDepartment of Biostatistics and Bioinformation, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Ning LiuCollege of Life Science, Hunan Normal University, Changsha, P.R. China.
Xun YuCollege of Life Science, Hunan Normal University, Changsha, P.R. China.
Ming ZhaoDepartment of Biostatistics and Bioinformation, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Hyung Jin ChoiDepartment of Internal Medicine, College of Medicine, Seoul National University, Seoul, Korea.
Paul J LeoUniversity of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Brisbane, Australia.
Matthew A BrownUniversity of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Brisbane, Australia.
Lei ZhangDepartment of Biostatistics and Bioinformation, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Yu-Fang PeiDepartment of Biostatistics and Bioinformation, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Hui ShenDepartment of Biostatistics and Bioinformation, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Hao HeDepartment of Biostatistics and Bioinformation, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Xiaoying FuDepartment of Biostatistics and Bioinformation, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Shan LuCollege of Life Science, Hunan Normal University, Changsha, P.R. China.
Xiang-Ding ChenCollege of Life Science, Hunan Normal University, Changsha, P.R. China.
Li-Jun TanCollege of Life Science, Hunan Normal University, Changsha, P.R. China.
Tie-Lin YangSchool of Life Science and Technology, Xi'an Jiaotong University, Xi'an, P.R. China.
Yan GuoSchool of Life Science and Technology, Xi'an Jiaotong University, Xi'an, P.R. China.
Nam H ChoDepartment of Preventive Medicine, Ajou University School of Medicine, Youngtong-Gu, Korea.
Jie ShenThird Affiliated Hospital of Southern Medical University, Guangzhou, P.R. China.
Yan-Fang GuoThird Affiliated Hospital of Southern Medical University, Guangzhou, P.R. China.
Geoffrey C NicholsonSchool of Medicine, The University of Queensland, Toowoomba, Australia.
Richard L PrinceSchool of Medicine and Pharmacology, University of Western Australia, Perth, Australia.
John A EismanGarvan Institute of Medical Research, University of New South Wales, Sydney, Australia.
Graeme JonesMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
Philip N SambrookKolling Institute of Medical Research, Royal North Shore Hospital, University of Sydney, Sydney, Australia.
Qing TianDepartment of Biostatistics and Bioinformation, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Xue-Zhen ZhuSchool of Life Science and Technology, Xi'an Jiaotong University, Xi'an, P.R. China.
Christopher J PapasianDepartment of Basic Medical Science, University of Missouri-Kansas City, Kansas City, MO, USA.
Emma L DuncanUniversity of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Brisbane, Australia.
André G UitterlindenDepartment of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
Chan Soo ShinDepartment of Internal Medicine, College of Medicine, Seoul National University, Seoul, Korea.
Shuanglin XiangCollege of Life Science, Hunan Normal University, Changsha, P.R. China.
Hong-Wen DengDepartment of Biostatistics and Bioinformation, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Hunan Normal University · CNTulane University · USThird Affiliated Hospital of Southern Medical University · CNSeoul National University · KRThe University of Queensland · AUTula University · RUXi'an Jiaotong University · CNAjou University · KRGarvan Institute of Medical Research · AUMenzies Institute for Medical ResearchNetherlands Consortium for Healthy Ageing · NLRoyal Brisbane and Women's Hospital · AURoyal North Shore Hospital · AUThe University of Western Australia · AUTranslational Research Institute · AUUniversity of Missouri–Kansas City · USUniversity of Shanghai for Science and Technology · CN

Funding

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
Epidemiology of putative genuine genetic variant: The Women's Health IntiativeU01HG004790 · NHGRI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2008 to 2012
$9.9M
Proteome-wide Expression Study of Osteogenic CellsP50AR055081 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2007 to 2012
$5.0M
NHGRI EpiGenVar Coordinating CenterU01HG004801 · NHGRI · RUTGERS, THE STATE UNIV OF N.J. · PI MATISE, TARA C. · 2008 to 2012
$4.4M
ROBUST AND POWERFUL TEST OF CANDIDATE GENES TO BONE MASSR01AR050496 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2004 to 2013
$3.8M
Identification of Proteins Important for Male OsteoporosisR01AR057049 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2009 to 2013
$2.4M
GENETICS OF BONE STRUCTURAL GEOMETRY: FRAMINGHAM COHORTSR01AR050066 · NIAMS · HEBREW REHABILITATION CENTER FOR AGED · PI KARASIK, DAVID · 2003 to 2006
$2.4M
Genomic search for bone mass QTLsR01AG026564 · NIA · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2007 to 2010
$2.3M
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
Genome-wide association study of periodontitisRC2DE020756 · NIDCR · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN, GENCO, ROBERT J · 2009 to 2009
$173k
FIC NIH HHS R03 TW008221FIC NIH HHS R03TW008221NHGRI NIH HHS U01 HG004790NHGRI NIH HHS U01 HG004801NHGRI NIH HHS U01HG004801-01NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS N02 HL064278NHLBI NIH HHS N02-HL-64278NIAMS NIH HHS P50 AR055081NIAMS NIH HHS P50AR055081NIAMS NIH HHS R01 AR041398NIAMS NIH HHS R01 AR050066NIAMS NIH HHS R01 AR050496NIAMS NIH HHS R01AR050496NIAMS NIH HHS R01 AR057049NIAMS NIH HHS R01AR057049NIA NIH HHS P01 AG018397NIA NIH HHS R01 AG026564NIA NIH HHS R01AG026564NIA NIH HHS R01 AR/AG 41398NIA NIH HHS R03 AG20321NIDCR NIH HHS RC2 DE020756NIDCR NIH HHS RC2DE020756PHS HHS 24152PHS HHS 32100-2PHS HHS 32105-6PHS HHS 32108-9PHS HHS 32111-13PHS HHS 32115PHS HHS 32118-32119PHS HHS 32122PHS HHS 42107-26PHS HHS 42129-32PHS HHS 44221WHI NIH HHS N01 WH022110
6 · The paper itself

Abstract

Protein phosphorylation regulates a wide variety of cellular processes. Thus, we hypothesize that single-nucleotide polymorphisms (SNPs) that may modulate protein phosphorylation could affect osteoporosis risk. Based on a previous conventional genome-wide association (GWA) study, we conducted a three-stage meta-analysis targeting phosphorylation-related SNPs (phosSNPs) for femoral neck (FN)-bone mineral density (BMD), total hip (HIP)-BMD, and lumbar spine (LS)-BMD phenotypes. In stage 1, 9593 phosSNPs were meta-analyzed in 11,140 individuals of various ancestries. Genome-wide significance (GWS) and suggestive significance were defined by α = 5.21 × 10(-6) (0.05/9593) and 1.00 × 10(-4), respectively. In stage 2, nine stage 1-discovered phosSNPs (based on α = 1.00 × 10(-4)) were in silico meta-analyzed in Dutch, Korean, and Australian cohorts. In stage 3, four phosSNPs that replicated in stage 2 (based on α = 5.56 × 10(-3), 0.05/9) were de novo genotyped in two independent cohorts. IDUA rs3755955 and rs6831280, and WNT16 rs2707466 were associated with BMD phenotypes in each respective stage, and in three stages combined, achieving GWS for both FN-BMD (p = 8.36 × 10(-10), p = 5.26 × 10(-10), and p = 3.01 × 10(-10), respectively) and HIP-BMD (p = 3.26 × 10(-6), p = 1.97 × 10(-6), and p = 1.63 × 10(-12), respectively). Although in vitro studies demonstrated no differences in expressions of wild-type and mutant forms of IDUA and WNT16B proteins, in silico analyses predicts that WNT16 rs2707466 directly abolishes a phosphorylation site, which could cause a deleterious effect on WNT16 protein, and that IDUA phosSNPs rs3755955 and rs6831280 could exert indirect effects on nearby phosphorylation sites. Further studies will be required to determine the detailed and specific molecular effects of these BMD-associated non-synonymous variants.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideBone DensityCohort StudiesFemaleFemur NeckHumansLumbar VertebraeMalePhosphorylationWnt ProteinsWNT16 protein, humanWnt ProteinsHUMAN ASSOCIATION STUDIESMETA-ANALYSISOSTEOPOROSISSINGLE-NUCLEOTIDE POLYMORPHISMWNT/BETA-CATENIN/LRPS

Identifiers

PMID26256109
PMCPMC5362379
OpenAlexW2132379290

What OpenQuestion holds

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Registered trials

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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.