Evidence map›Paper›PMID 30127800›Full record

ArticleFrontiers in genetics2018

Trans-Ethnic Polygenic Analysis Supports Genetic Overlaps of Lumbar Disc Degeneration With Height, Body Mass Index, and Bone Mineral Density.

Xueya Zhou, Ching-Lung Cheung, Tatsuki Karasugi, Jaro Karppinen, Dino Samartzis, Yi-Hsiang Hsu, Timothy Shin-Heng Mak, You-Qiang Song, Kazuhiro Chiba, Yoshiharu Kawaguchi and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Genetic predisposition ofCell cycle (Georgetown, Tex.) · 2024
    Article
  5. Genetics of Intervertebral Disc Degeneration.Current osteoporosis reports · 2023
    Review
  6. Immuno-Modulatory Effects of Intervertebral Disc Cells.Frontiers in cell and developmental biology · 2022
    Review
  7. Article
  8. Review
  9. 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

16 authors at 8 institutions in 5 countries.

Xueya ZhouDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Ching-Lung CheungDepartment of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Tatsuki KarasugiDepartment of Orthopaedic Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto City, Japan.
Jaro KarppinenMedical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.
Dino SamartzisDepartment of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Yi-Hsiang HsuHebrew SeniorLife, Institute for Aging Research, Roslindale, MA, United States.
Timothy Shin-Heng MakLi Ka Shing Faculty of Medicine, Center for Genomic Sciences, The University of Hong Kong, Hong Kong, Hong Kong.
You-Qiang SongLi Ka Shing Faculty of Medicine, Center for Genomic Sciences, The University of Hong Kong, Hong Kong, Hong Kong.
Kazuhiro ChibaDepartment of Orthopedic Surgery, National Defense Medical College, Tokorozawa, Saitama, Japan.
Yoshiharu KawaguchiDepartment of Orthopaedic Surgery, Toyama University, Toyama Prefecture, Japan.
Yan LiDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Danny ChanLi Ka Shing Faculty of Medicine, School of Biomedical Science, The University of Hong Kong, Hong Kong, Hong Kong.
Kenneth Man-Chee CheungDepartment of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
Shiro IkegawaLaboratory of Bone and Joint Diseases, Center for Integrative Medical Sciences, RIKEN, Tokyo, Japan.
Kathryn Song-Eng CheahLi Ka Shing Faculty of Medicine, School of Biomedical Science, The University of Hong Kong, Hong Kong, Hong Kong.
Pak Chung ShamDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
University of Hong Kong · HKChinese University of Hong Kong · CNHebrew SeniorLife · USKumamoto University · JPNational Defense Medical College · JPRIKEN Center for Integrative Medical Sciences · JPUniversity of Oulu · FIUniversity of Toyama · JP

Funding

Identifying Osteoporosis Genes by Whole Genome Sequencing and Functional Validation in Zebra FishR01AR072199 · NIAMS · HEBREW REHABILITATION CENTER FOR AGED · PI HSU, YI-HSIANG · 2017 to 2022
$3.2M
NIAMS NIH HHS R01 AR072199
6 · The paper itself

Abstract

Lumbar disc degeneration (LDD) is age-related break-down in the fibrocartilaginous joints between lumbar vertebrae. It is a major cause of low back pain and is conventionally assessed by magnetic resonance imaging (MRI). Like most other complex traits, LDD is likely polygenic and influenced by both genetic and environmental factors. However, genome-wide association studies (GWASs) of LDD have uncovered few susceptibility loci due to the limited sample size. Previous epidemiology studies of LDD also reported multiple heritable risk factors, including height, body mass index (BMI), bone mineral density (BMD), lipid levels, etc. Genetics can help elucidate causality between traits and suggest loci with pleiotropic effects. One such approach is polygenic score (PGS) which summarizes the effect of multiple variants by the summation of alleles weighted by estimated effects from GWAS. To investigate genetic overlaps of LDD and related heritable risk factors, we calculated the PGS of height, BMI, BMD and lipid levels in a Chinese population-based cohort with spine MRI examination and a Japanese case-control cohort of lumbar disc herniation (LDH) requiring surgery. Because most large-scale GWASs were done in European populations, PGS of corresponding traits were created using weights from European GWASs. We calibrated their prediction performance in independent Chinese samples, then tested associations with MRI-derived LDD scores and LDH affection status. The PGS of height, BMI, BMD and lipid levels were strongly associated with respective phenotypes in Chinese, but phenotype variances explained were lower than in Europeans which would reduce the power to detect genetic overlaps. Despite of this, the PGS of BMI and lumbar spine BMD were significantly associated with LDD scores; and the PGS of height was associated with the increased the liability of LDH. Furthermore, linkage disequilibrium score regression suggested that, osteoarthritis, another degenerative disorder that shares common features with LDD, also showed genetic correlations with height, BMI and BMD. The findings suggest a common key contribution of biomechanical stress to the pathogenesis of LDD and will direct the future search for pleiotropic genes.

Indexed as

causalitygenetic correlationlumbar disc degenerationosteoarthritispleiotropypolygenic score

Identifiers

PMID30127800
PMCPMC6088183
OpenAlexW2950085302

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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.