Evidence map›Paper›PMID 25941324›Full record

SynthesisHuman molecular genetics2015

Identification of a novel FGFRL1 MicroRNA target site polymorphism for bone mineral density in meta-analyses of genome-wide association studies.

Tianhua Niu, Ning Liu, Ming Zhao, Guie Xie, Lei Zhang, Jian Li, Yu-Fang Pei, Hui Shen, Xiaoying Fu, Hao He and 24 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Human molecular genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Identification of IDUA and WNT16 Phosphorylation-Related Non-Synonymous Polymorphisms for Bone Mineral Density in Meta-Analyses of Genome-Wide Association Studies.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2016
    Pooled it
  3. Evaluation ofCurrent protein & peptide science · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Evaluation of common variants in theBone & joint research · 2019
    Article
  9. Review
  10. Review
  11. microRNA Regulation of Skeletal Development.Current osteoporosis reports · 2017
    Review
  12. The roles of RNA processing in translating genotype to phenotype.Nature reviews. Molecular cell biology · 2017
    Review
  13. Article
  14. 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

34 authors at 14 institutions in 4 countries.

Tianhua NiuCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Ning LiuKey Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China.
Ming ZhaoCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Guie XieKey Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China.
Lei ZhangCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA, Center of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.
Jian LiCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Yu-Fang PeiCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Hui ShenCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Xiaoying FuCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Hao HeCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Shan LuKey Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China.
Xiang-Ding ChenKey Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China.
Li-Jun TanKey Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China.
Tie-Lin YangLaboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China.
Yan GuoLaboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China.
Paul J LeoHuman Genetics Group, University of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia.
Emma L DuncanHuman Genetics Group, University of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia, Department of Diabetes and Endocrinology, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Jie ShenThird Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, P. R. China.
Yan-Fang GuoThird Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, P. R. China.
Geoffrey C NicholsonRural Clinical School, The University of Queensland, Toowoomba, Australia.
Richard L PrinceSchool of Medicine and Pharmacology, University of Western Australia, Perth, Australia, Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia.
John A EismanGarvan Institute of Medical Research, University of New South Wales, Sydney, Australia.
Graeme JonesMenzies Research Institute, University of Tasmania, Hobart, Australia.
Philip N SambrookKolling Institute, Royal North Shore Hospital, University of Sydney, Sydney, Australia.
Xiang HuKey Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China.
Partha M DasCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Qing TianCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Xue-Zhen ZhuCenter of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.
Christopher J PapasianDepartment of Basic Medical Science, University of Missouri-Kansas City, Kansas City, USA.
Matthew A BrownHuman Genetics Group, University of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia.
André G UitterlindenDepartment of Internal Medicine and , Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands and.
Yu-Ping WangCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA, Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118, USA.
Shuanglin XiangKey Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China, hdeng2@tulane.edu xshlin@hunnu.edu.cn.
Hong-Wen DengCenter for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA, Key Laboratory of Protein Chemistry and Developmental Biology of State Education Ministry of China, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P. R. China, hdeng2@tulane.edu xshlin@hunnu.edu.cn.
Tulane University · USHunan Normal University · CNPrincess Alexandra Hospital · AUThird Affiliated Hospital of Southern Medical University · CNUniversity of Shanghai for Science and Technology · CNXi'an Jiaotong University · CNErasmus MC · NLRoyal Brisbane and Women's Hospital · AURoyal North Shore Hospital · AUThe University of Western Australia · AUToowoomba Hospital · AUUniversity of Missouri–Kansas City · USUniversity of Tasmania · AUUNSW Sydney · AU

Funding

Women's Health Initiative Clinical Coordinating CenterN01WH22110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PRENTICE, ROSS L · 2007 to 2010
$22.5M
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
Epigenomewide DNA Methylation Study for Osteoporosis RiskR01AR059781 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2012 to 2016
$3.1M
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
Integration of fMRI imaging, genomics, network and biological knowledgeR01MH107354 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI WANG, YU-PING · 2015 to 2018
$1.9M
FIC NIH HHS 03TW008221FIC NIH HHS R03 TW008221NHGRI 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 R01AR057049NIAMS NIH HHS R01 AR059781NIA 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 RC2DE020756NIGMS NIH HHS R01 GM109068NIGMS NIH HHS R01GM109068NIMH NIH HHS R01 MH107354PHS 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 WH022110WHI NIH HHS N01WH22110
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are critical post-transcriptional regulators. Based on a previous genome-wide association (GWA) scan, we conducted a polymorphism in microRNA target sites (poly-miRTS)-centric multistage meta-analysis for lumbar spine (LS)-, total hip (HIP)- and femoral neck (FN)-bone mineral density (BMD). In stage I, 41 102 poly-miRTSs were meta-analyzed in seven cohorts with a genome-wide significance (GWS) α = 0.05/41 102 = 1.22 × 10(-6). By applying α = 5 × 10(-5) (suggestive significance), 11 poly-miRTSs were selected, with FGFRL1 rs4647940 and PRR5 rs3213550 as top signals for FN-BMD (P = 7.67 × 10(-6) and 1.58 × 10(-5)) in gender-combined sample. In stage II in silico replication (two cohorts), FGFRL1 rs4647940 was the only signal marginally replicated for FN-BMD (P = 5.08 × 10(-3)) at α = 0.10/11 = 9.09 × 10(-3). PRR5 rs3213550 was also selected based on biological significance. In stage III de novo genotyping replication (two cohorts), FGFRL1 rs4647940 was the only signal significantly replicated for FN-BMD (P = 7.55 × 10(-6)) at α = 0.05/2 = 0.025 in gender-combined sample. Aggregating three stages, FGFRL1 rs4647940 was the single stage I-discovered and stages II- and III-replicated signal attaining GWS for FN-BMD (P = 8.87 × 10(-12)). Dual-luciferase reporter assays demonstrated that FGFRL1 3' untranslated region harboring rs4647940 appears to be hsa-miR-140-5p's target site. In a zebrafish microinjection experiment, dre-miR-140-5p is shown to exert a dramatic impact on craniofacial skeleton formation. Taken together, we provided functional evidence for a novel FGFRL1 poly-miRTS rs4647940 in a previously known 4p16.3 locus, and experimental and clinical genetics studies have shown both FGFRL1 and hsa-miR-140-5p are important for bone formation.

Indexed as

3' Untranslated RegionsGenetic LociPolymorphism, GeneticBone DensityFemaleGenome-Wide Association StudyHumansMaleMicroRNAsReceptor, Fibroblast Growth Factor, Type 53' Untranslated RegionsFGFRL1 protein, humanMicroRNAsMirn140 microRNA, humanReceptor, Fibroblast Growth Factor, Type 5

Identifiers

PMID25941324
PMCPMC4512621
OpenAlexW1873086810

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.