Genetic insights into ossification of the posterior longitudinal ligament of the spine

  1. Yoshinao Koike
  2. Masahiko Takahata  Is a corresponding author
  3. Masahiro Nakajima
  4. Nao Otomo
  5. Hiroyuki Suetsugu
  6. Xiaoxi Liu
  7. Tsutomu Endo
  8. Shiro Imagama
  9. Kazuyoshi Kobayashi
  10. Takashi Kaito
  11. Satoshi Kato
  12. Yoshiharu Kawaguchi
  13. Masahiro Kanayama
  14. Hiroaki Sakai
  15. Takashi Tsuji
  16. Takeshi Miyamoto
  17. Hiroyuki Inose
  18. Toshitaka Yoshii
  19. Masafumi Kashii
  20. Hiroaki Nakashima
  21. Kei Ando
  22. Yuki Taniguchi
  23. Kazuhiro Takeuchi
  24. Shuji Ito
  25. Kohei Tomizuka
  26. Keiko Hikino
  27. Yusuke Iwasaki
  28. Yoichiro Kamatani
  29. Shingo Maeda
  30. Hideaki Nakajima
  31. Kanji Mori
  32. Atsushi Seichi
  33. Shunsuke Fujibayashi
  34. Tsukasa Kanchiku
  35. Kei Watanabe
  36. Toshihiro Tanaka
  37. Kazunobu Kida
  38. Sho Kobayashi
  39. Masahito Takahashi
  40. Kei Yamada
  41. Hiroshi Takuwa
  42. Hsing-Fang Lu
  43. Shumpei Niida
  44. Kouichi Ozaki
  45. Yukihide Momozawa
  46. Genetic Study Group of Investigation Committee on Ossification of the Spinal Ligaments
  47. Masashi Yamazaki
  48. Atsushi Okawa
  49. Morio Matsumoto
  50. Norimasa Iwasaki
  51. Chikashi Terao  Is a corresponding author
  52. Shiro Ikegawa  Is a corresponding author
  1. Laboratory for Bone and Joint Diseases, Center for Integrative Medical Sciences, RIKEN, Japan
  2. Laboratory for Statistical and Translational Genetics, Center for Integrative Medical Sciences, RIKEN, Japan
  3. Department of Orthopedic Surgery, Hokkaido University Graduate School of Medicine, Japan
  4. Department of Orthopedic Surgery, Keio University School of Medicine, Japan
  5. Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Japan
  6. Department of Orthopedics, Nagoya University Graduate School of Medicine, Japan
  7. Department of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Japan
  8. Department of Orthopaedic Surgery, Graduate School of Medical Science, Kanazawa University, Japan
  9. Department of Orthopaedic Surgery, Toyama University, Japan
  10. Department of Orthopedics, Hakodate Central General Hospital, Japan
  11. Department of Orthopaedic Surgery, Spinal Injuries Center, Japan
  12. Department of Spine and Spinal Cord Surgery, Fujita Health University, Japan
  13. Department of Orthopedic Surgery, Kumamoto University, Japan
  14. Department of Orthopaedic Surgery, Tokyo Medical and Dental University, Japan
  15. Department of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Japan
  16. Department of Orthopaedic Surgery, National Okayama Medical Center, Japan
  17. Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Japan
  18. Laboratory for Pharmacogenomics, Center for Integrative Medical Sciences, RIKEN, Japan
  19. Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Japan
  20. Laboratory for Statistical Analysis, Center for Integrative Medical Sciences, RIKEN, Japan
  21. Department of Bone and Joint Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University, Japan
  22. Department of Orthopaedics and Rehabilitation Medicine, Faculty of Medical Sciences, University of Fukui, Japan
  23. Department of Orthopaedic Surgery, Shiga University of Medical Science, Japan
  24. Department of Orthopedics, Jichi Medical University, Japan
  25. Department of Orthopaedic Surgery, Graduate School of Medicine, Kyoto University, Japan
  26. Department of Orthopedic Surgery, Yamaguchi University Graduate School of Medicine, Japan
  27. Department of Orthopaedic Surgery, Niigata University Medical and Dental General Hospital, Japan
  28. Department of Orthopaedic Surgery, Hirosaki University Graduate School of Medicine, Japan
  29. Department of Orthopaedic Surgery, Kochi Medical School, Japan
  30. Department of Orthopaedic Surgery, Hamamatsu University School of Medicine, Japan
  31. Department of Orthopaedic Surgery, Kyorin University School of Medicine, Japan
  32. Department of Orthopaedic Surgery, Kurume University School of Medicine, Japan
  33. Million-Person Precision Medicine Initiative, China Medical University Hospital, Taiwan
  34. Core Facility Administration, Research Institute, National Center for Geriatrics and Gerontology, Japan
  35. Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Japan
  36. Department of Orthopaedic Surgery, Faculty of Medicine, University of Tsukuba, Japan
6 figures, 2 tables and 23 additional files

Figures

Figure 1 with 17 supplements
Meta-analysis of genome-wide association studies (GWAS) identified 14 significant loci in ossification of the posterior longitudinal ligament of the spine (OPLL).

Manhattan plot showing the -log10 p-value for each single-nucleotide polymorphism (SNP) in the meta-analysis. The values were plotted against the respective chromosomal positions. The horizontal red line represents the genome-wide significance threshold (p=5.0 × 10–8). Red and blue points represent the SNPs in the new and known loci, respectively.

Figure 1—figure supplement 1
The overview of the genome-wide association study meta-analysis.
Figure 1—figure supplement 2
A quantile–quantile plot of meta-analysis of genome-wide association studies.

Horizontal and vertical lines represent the expected p-value under a null distribution and the observed p-value, respectively.

Figure 1—figure supplement 3
Regional association plots for 14 susceptibility loci for ossification of the posterior longitudinal ligament of the spine (OPLL).

Each plot shows –log10 p-values against the chromosomal position of variants in specific regions. (A) 2p23.3. (B) 6p21.1. (C) 8q23.1. (D) 8q23.3. (E) 11q14.2. (F) 12p12.3. (G) 12p12.2. (H) 12p11.22. (I) 12p11.22. (J) 14q21.3. (K) 14q23.2. (L) 15q25.3. (M) 16q22.1. (N) 20p12.3. The variant with the highest association signal in each locus is represented in purple; the other variants are colored according to the extent of linkage disequilibrium (LD) with this variant. The imputed single-nucleotide polymorphisms (SNPs) are represented by triangles and genotyped SNPs by circles, respectively. The estimated recombination rates from hg19/1000 Genomes Nov 2014 East Asian are shown as light blue lines.

Figure 1—figure supplement 4
Statistical power analysis.

X- and Y-axes represent minor allele frequencies (MAFs) and odds ratios (ORs), respectively. Alpha-error rate and statistical power are set to 5e-8 and 0.8 (red line) or 0.5 (blue line), respectively. Dots represent ORs of 14 ossification of the posterior longitudinal ligament of the spine (OPLL)-associated variants in genome-wide association studies (GWAS) meta-analysis for ALL-OPLL.

Figure 1—figure supplement 5
Summary-data-based Mendelian randomization.

(A) In the top plot, gray dots represent p-values for single-nucleotide polymorphisms (SNPs) from the genome-wide association studies (GWAS) meta-analysis for ossification of the posterior longitudinal ligament of the spine (OPLL), and diamonds represent p-values for probes from the summary data-based Mendelian randomization (SMR). In the bottom plot, each red ‘X’ represents the expression quantitative trait loci (eQTL) p-value of SNPs from GTEx v7 for PLEC in fibroblast. GTEx, Genotype-Tissue Expression. (B) Effect sizes of SNPs from GWAS plotted against those for SNPs from the fibroblast eQTL study. Orange dashed line represents the estimate of the effect size of the SMR at the top cis-eQTL. Error bars are standard errors of SNP effects.

Figure 1—figure supplement 6
Ossification of the posterior longitudinal ligament of the spine (OPLL)-subtype stratification identified subtype-specific loci.

Manhattan plot showing the -log10 p-value for each single-nucleotide polymorphism (SNP) in the genome-wide association studies (GWAS) meta-analysis. (A) Cervical OPLL. (B) Thoracic OPLL. The values were plotted against the respective chromosomal positions. The horizontal red line represents the genome-wide significance threshold (p=5.0 × 10–8). Red and blue points represent the SNPs in the new and known loci, respectively.

Figure 1—figure supplement 7
A quantile–quantile plot of meta-analysis of subtype stratified genome-wide association studies.

Horizontal and vertical lines represent the expected p-value under a null distribution and the observed p-value, respectively. (A) Cervical ossification of the posterior longitudinal ligament of the spine (OPLL). (B) Thoracic OPLL.

Figure 1—figure supplement 8
Regional association plots for three susceptibility loci for cervical ossification of the posterior longitudinal ligament of the spine (OPLL).

Each plot shows –log10 p-values against the chromosomal position of variants in a specific region. (A) 8p22. (B) 12p12.2. (C) 20p12.3. The variant with the highest association signal in each locus is represented in purple; the other variants are colored according to the extent of linkage disequilibrium (LD) with this variant. The imputed single-nucleotide polymorphisms (SNPs) are represented by triangles and genotyped SNPs by circles, respectively. The estimated recombination rates from hg19/1000 Genomes Nov 2014 East Asian are shown as light blue lines.

Figure 1—figure supplement 9
Regional association plots for eight susceptibility loci for thoracic ossification of the posterior longitudinal ligament of the spine (OPLL).

Each plot shows –log10 p-values against the chromosomal position of variants in a specific region. (A) 1p36.21. (B) 1p36.12. (C) 8q11.21. (D) 12p13.1. (E) 19p13.2. (F) 19p12. (G) 23q23.31. (H) 23q27.3. (I) 23q28. The variant with the highest association signal in each locus is represented in purple; the other variants are colored according to the extent of linkage disequilibrium (LD) with this variant. The imputed single-nucleotide polymorphisms (SNPs) are represented by triangles and genotyped SNPs by circles, respectively. The estimated recombination rates from hg19/1000 Genomes Nov 2014 East Asian are shown as light blue lines.

Figure 1—figure supplement 10
Expression levels of candidate genes in spinal ligament tissue in patients with cervical spondylotic myelopathy (CSM) and ossification of the posterior longitudinal ligament of the spine (OPLL).

Bar plot showing expression levels of candidate genes identified in (A) ALL-, (B) C-, and (C) T-OPLL genome-wide association studies (GWAS) meta-analyses, and (D) gene-based analysis and summary data-based Mendelian randomization (SMR). Red and blue bars represent expression levels in patients with CSM and OPLL, respectively. Error bars represent 95% confidence intervals. (E) Distribution of the T statistic calculated by t-test (CSM versus OPLL). Genes with p<0.05 are indicated by gene name.

Figure 1—figure supplement 11
Expression levels of candidate genes in chondrogenic differentiated human ligament cells.

Bar plot showing expression levels of candidate genes identified in (A) ALL-, (B) C-, and (C) T-OPLL genome-wide association studies (GWAS) meta-analyses, and (D) gene-based analysis and summary data-based Mendelian randomization (SMR). Red and blue bars represent expression levels in control (Ctrl) and chondrogenic differentiated human ligament cells (Diff), respectively. Error bars represent 95% confidence intervals. (E) Distribution of the T statistic calculated by t-test (chondrogenic differentiated human ligament cells versus control). Genes with p<0.05 are indicated by gene name.

Figure 1—figure supplement 12
Analyses of scRNA-seq GSE126060 data.

(A) The Uniform Manifold Approximation and Projection (UMAP) shows 13 clusters. (B) Violin plots of marker genes for each cell type.

Figure 1—figure supplement 13
Gene expression in each cluster at scRNA-seq GSE126060.

Expression levels of candidate genes found in genome-wide association studies (GWAS) meta-analysis for (A) ALL-, (B) C-, and (C) T-OPLL, and (D) gene-based association analysis and summary data-based Mendelian randomization.

Figure 1—figure supplement 14
Analyses of scRNA-seq GSE188758 data.

(A) The Uniform Manifold Approximation and Projection (UMAP) shows nine clusters. (B) Violin plots of marker genes for each cell type.

Figure 1—figure supplement 15
Gene expression in each cluster at scRNA-seq GSE188758.

Expression levels of candidate genes found in genome-wide association studies (GWAS) meta-analysis for (A) ALL-, (B) C-, and (C) T-OPLL, and (D) gene-based association analysis and summary data-based Mendelian randomization.

Figure 1—figure supplement 16
Comparison of effect sizes of the genome-wide association studies (GWAS) lead single-nucleotide polymorphisms (SNPs) between the original GWAS meta-analysis and replication analysis.

(A) ALL-OPLL and (B) T-OPLL. Each dot represents the effect size of each SNP on ossification of the posterior longitudinal ligament of the spine (OPLL) in the original GWAS meta-analysis (x-axis) and replication analysis (y-axis), respectively. Error bars represent 95% confidence intervals. The numbers in the upper right of each figure are Pearson’s correlation coefficient (r) and p-value.

Figure 1—figure supplement 17
Comparison of effect sizes between ossification of the posterior longitudinal ligament of the spine (OPLL) and ankylosing spondylitis (AS) genome-wide association studies (GWASs) for AS-associated single-nucleotide polymorphisms (SNPs).

(A) ALL-OPLL, (B) C-OPLL, and (C) T-OPLL. Each dot represents the AS-associated SNP plotted along with effect size estimates on OPLL (x-axis) and AS (y-axis). Error bars represent 95% confidence intervals. The numbers in the upper right of each figure are Pearson's correlation coefficient (r) and p-value.

Gene-based association analysis identified five significantly associated genes in ossification of the posterior longitudinal ligament of the spine (OPLL).

Manhattan plot showing the -log10 p-value for each gene in the analysis. The values were plotted against the respective chromosomal positions. The horizontal red lines represent significance threshold (p=5.0 × 10–8).

Genetic correlation between ossification of the posterior longitudinal ligament of the spine (OPLL) and other complex traits.

Significant positive correlations with body mass index (BMI) and type 2 diabetes, and negative correlations with cerebral aneurysm were observed. Error bars indicate 95% confidence intervals. Red color gradations represent the level of p-value. Noted by asterisk is the significant correlation (false discovery rate [FDR] < 0.05).

Figure 4 with 13 supplements
Causal effect of body mass index, type 2 diabetes, cerebral aneurysm, and bone mineral density on ossification of the posterior longitudinal ligament of the spine (OPLL).

Causal effects were estimated using two-sample Mendelian randomization (MR) methods. Error bars indicate 95% confidence intervals. Significant (p<0.05) results are shown as red and blue dots for positive and negative causal effects, respectively. Noted by asterisk are the items that meet strict threshold (p<0.05/48=1.04 × 10–3). IVW, inverse variance weighted.

Figure 4—figure supplement 1
Selection of single-nucleotide polymorphisms (SNPs) to be used as instrumental variables in Mendelian randomization.

BMI, body mass index; BMD, bone mineral density; UKBB, UK Biobank; GIANT, The Genetic Investigation of ANthropometric Traits consortium; WHR, waist-to-hip ratio; WHRadjBMI, WHR adjusted for BMI, 1KGP3, the 1000 Genomes Project Phase 3; EAS, East Asian; EUR, European.

Figure 4—figure supplement 2
Scatter plots for the Mendelian randomization (MR) of the causal effect of body mass index (BMI) on ossification of the posterior longitudinal ligament of the spine (OPLL).

Each dot represents the BMI-associated single-nucleotide polymorphism (SNP) plotted along with the effect size estimates on BMI (x-axis) and OPLL (y-axis). Error bars represent 95% confidence intervals. The slopes of the lines represent the causal association evaluated by four MR methods: red, inverse variance weighted (IVW); blue, MR-Egger, green, simple median; purple, weighted median.

Figure 4—figure supplement 3
Sensitivity analysis of the Mendelian randomization (MR) of body mass index (BMI) causality on ossification of the posterior longitudinal ligament of the spine (OPLL).

(A) Forest plot. Each black point represents an effect size for BMI on OPLL, produced using significant single-nucleotide polymorphisms (SNPs) in BMI genome-wide association studies (GWAS) as separate instruments. The black point in the bottom row shows the combined causal estimate using all SNPs together in a single instrument using two methods of MR: inverse variance weighted (IVW) and MR-Egger. Horizontal lines are 95% confidence intervals. (B) Leave-one-out analysis. Each row represents an MR result (IVW) of BMI on ALL-OPLL after discarding the SNP listed on the y-axis. The point represents the effect size, and the horizontal line represents the 95% confidence interval. (C) Funnel plot. On the y-axis, 1/SEIV represents the inverse standard error of the estimated causal effect for each single SNPs (instrumental variables). On the x-axis, βIV represents the effect size of each SNP. Colored lines represent the effect sizes of the different MR analyses: red, IVW; blue, MR-Egger.

Figure 4—figure supplement 4
Scatter plots for the Mendelian randomization (MR) of the causal effect of type 2 diabetes on ossification of the posterior longitudinal ligament of the spine (OPLL).

(A) OPLL. (B) Cervical OPLL. (C) Thoracic OPLL. Each dot represents the type 2 diabetes-associated single-nucleotide polymorphism (SNP) plotted along with effect size estimates on type 2 diabetes (x-axis) and OPLL (y-axis). Error bars represent 95% confidence intervals. The slopes of the line represent the causal association evaluated by four MR methods: red, inverse variance weighted (IVW); blue, MR-Egger; green, simple median; purple, weighted median.

Figure 4—figure supplement 5
Scatter plots for the Mendelian randomization (MR) of the causal effect of bone mineral density on ossification of the posterior longitudinal ligament of the spine (OPLL).

(A) OPLL. (B) Cervical OPLL. (C) Thoracic OPLL. Each dot represents the bone mineral density-associated single-nucleotide polymorphism (SNP) plotted along with effect size estimates on bone mineral density (x-axis) and OPLL (y-axis). Error bars represent 95% confidence intervals. The line slopes represent the causal association evaluated by four MR methods: red, inverse variance weighted (IVW); blue, MR-Egger; green, simple median; purple, weighted median.

Figure 4—figure supplement 6
Scatter plots for the Mendelian randomization (MR) of the causal effect of cerebral aneurysm on ossification of the posterior longitudinal ligament of the spine (OPLL).

(A) OPLL. (B) Cervical OPLL. (C) thoracic OPLL. Each dot represents the cerebral aneurysm-associated single-nucleotide polymorphism (SNP) plotted along with effect size estimates on cerebral aneurysm (x-axis) and OPLL (y-axis). Error bars represent 95% confidence intervals. The line slopes represent the causal association evaluated by four MR methods: red, inverse variance weighted (IVW); blue, MR-Egger; green, simple median; purple, weighted median.

Figure 4—figure supplement 7
Scatter plots for the Mendelian randomization (MR) of the causal effect of ossification of the posterior longitudinal ligament of the spine (OPLL) on body mass index (BMI), type 2 diabetes, cerebral aneurysm, and bone mineral density.

Each dot represents the OPLL-associated single-nucleotide polymorphism (SNP) plotted along with its effect on OPLL (x-axis) and (A) BMI, (B) type 2 diabetes, (C) cerebral aneurysm, and (D) bone mineral density (y-axis). Error bars represent 95% confidence intervals. The line slopes represent the causal association evaluated by four MR methods: red, inverse variance weighted (IVW); blue, MR-Egger; green, simple median; purple, weighted median.

Figure 4—figure supplement 8
Scatter plots for the Mendelian randomization (MR) of the causal effect of body mass index (BMI) on ossification of the posterior longitudinal ligament of the spine (OPLL) subtypes.

Each dot represents the BMI-associated single-nucleotide polymorphism (SNP) plotted along with the effect size estimates on BMI (x-axis) and OPLL subtype (y-axis). (A) Cervical OPLL. (B) Thoracic OPLL. Error bars represent 95% confidence intervals. The line slopes represent the causal association evaluated by four MR methods: red, inverse variance weighted (IVW); blue, MR-Egger; green, simple median; purple, weighted median.

Figure 4—figure supplement 9
Sensitivity analysis of the Mendelian randomization (MR) of body mass index (BMI) causality on ossification of the posterior longitudinal ligament of the spine (OPLL) subtypes.

(A, D) Forest plot. Each black point represents an effect size for BMI on (A) cervical and (D) thoracic OPLL, produced using significant single-nucleotide polymorphisms (SNPs) in BMI genome-wide association studies (GWAS) as separate instruments. The black point in the bottom row shows the combined causal estimate using all SNPs together in a single instrument, using two methods of MR: inverse variance weighted (IVW) and MR-Egger. Horizontal lines are 95% confidence intervals. (B, E) Leave-one-out analysis. Each row represents an MR result (IVW) of BMI on (B) cervical OPLL and (E) thoracic OPLL after discarding the SNP listed on the y-axis. The point represents the effect size, and the horizontal line represents 95% confidence intervals. (C, F) Funnel plot. On the y-axis, 1/SEIV represents the inverse standard error of the estimated causal effect for each of the single SNPs (instrumental variables) ((C) cervical OPLL, (F) thoracic OPLL). On the x-axis, βIV represents the effect size of each SNP. Colored lines represent the effect sizes of the different MR analyses: red, IVW; blue, MR-Egger.

Figure 4—figure supplement 10
Mendelian randomization (MR) for obesity-related traits on ossification of the posterior longitudinal ligament of the spine (OPLL).

Causal effects were estimated using two-sample MR methods. Error bars indicate 95% confidence intervals. Significant (p<0.05) results are shown as red and blue dots for positive and negative causal effects, respectively. Noted by asterisk are the items that meet strict threshold (p<0.05/36=1.39 × 10–3). The light colors indicate the original MR analysis results. IVW, inverse variance weighted.

Figure 4—figure supplement 11
Correlation of the effect sizes of the genome-wide single-nucleotide polymorphisms (SNPs) of ossification of the posterior longitudinal ligament of the spine (OPLL) and body mass index (BMI).

(A) ALL-OPLL and BMI, (B) C-OPLL and BMI, and (C) T-OPLL and BMI. Correlations were evaluated for sets of SNPs stratified by the thresholds based on the genome-wide association studies (GWAS) p-values in each trait. Noted by asterisk is the significant correlation (p<0.05/8). The x-axis shows the p-value of the SNPs, and the y-axis shows the correlation coefficient of the effect size.

Figure 4—figure supplement 12
Replication of Mendelian randomization (MR) for body mass index, type 2 diabetes, cerebral aneurysm, and bone mineral density on ossification of the posterior longitudinal ligament of the spine (OPLL).

Causal effects were estimated using two-sample MR methods. Error bars indicate 95% confidence intervals. Significant (p<0.05) results are shown as red and blue dots for positive and negative causal effects, respectively. Noted by asterisk are the items that meet strict threshold (p<0.05/48=1.04 × 10–3). The light colors indicate the original MR analysis results. IVW, inverse variance weighted.

Figure 4—figure supplement 13
Replication of Mendelian randomization (MR) for obesity-related traits on ossification of the posterior longitudinal ligament of the spine (OPLL).

Causal effects were estimated using two-sample MR methods. Error bars indicate 95% confidence intervals. Significant (p<0.05) results are shown as red and blue dots for positive and negative causal effects, respectively. Noted by asterisk are the items that meet strict threshold (p<0.05/36=1.39 × 10–3). The light colors indicate the original MR analysis results. IVW, inverse variance weighted.

Figure 5 with 2 supplements
Body mass index (BMI) polygenic risk score predicts ossification of the posterior longitudinal ligament of the spine (OPLL).

Vertical columns represent effect sizes of BMI polygenic risk score (PRS) on three types of OPLL: cervical (C-) OPLL, thoracic (T-) OPLL, and ALL-OPLL (C-OPLL, T-OPLL, and others). The BMI PRS could predict OPLL, especially T-OPLL. Error bars represent the 95% confidence intervals of the effects.

Figure 5—figure supplement 1
Body mass index (BMI) polygenic risk score analysis for ossification of the posterior longitudinal ligament of the spine (OPLL).

Overview of the analysis using BMI polygenic risk score for OPLL and its subtypes 1KGP3EAS, the 1000 Genomes Project Phase 3 East Asian; JEWEL_ 3K, 3,256 in-house Japanese whole-genome sequence data. IVW, inverse variance weighted.

Figure 5—figure supplement 2
Determination of the best parameter for body mass index (BMI) polygenic risk score.

The horizontal line represents the Spearman’s rho between the BMI and the BMI polygenic risk score. The vertical line represents the P-value thresholds in clumping. Each color represents the r-square used as a clumping parameter.

Author response image 1
Statistical power analysis.

X- and Y-axes represent minor allele frequencies and ORs, respectively. Α-error rate and statistical power are set to 5e-8 and 0.8 (red line) or 0.5 (blue line), respectively. Dots represent ORs of 14 OPLL-associated variants in GWAS meta-analysis for ALL-OPLL. We conducted analyses on each dataset and on the meta-analysis data: (a) Set 1, (b) Set 2, (c) Set 3.

Tables

Table 1
Genome-wide significant loci in ossification of the posterior longitudinal ligament of the spine.
SNPCHRPosition(Region start- end)GeneNovel/knownREFALTOPLLpOR(95% CI)PhetGWAS 1GWAS 2GWAS 3
ALT freq.pOR(95% CI)ALT freq.pOR(95% CI)ALT freq.pOR(95% CI)
casecontrolcasecontrolcasecontrol
rs46659722 (p23.3)
27598097
(26598097–
28598097)
SNX17
(intronic)
NovelT
C
ALL7.00E-091.23
(1.15–1.32)
0.180.483
0.433
9.91E-071.27
(1.16–1.40)
0.474
0.425
3.73E-041.26
(1.11–1.43)
0.441
0.430
5.65E-011.05
(0.88–1.26)
Cervical5.38E-051.25
(1.12–1.39)
0.920.481
0.433
1.19E-031.25
(1.09–1.44)
0.469
0.425
1.59E-021.24
(1.04–1.48)
  • -

--
Thoracic3.49E-021.14
(1.01–1.28)
0.500.478
0.433
3.51E-021.24
(1.01–1.51)
0.454
0.425
3.05E-011.16
(0.87–1.53)
0.441
0.430
5.65E-011.05
(0.88–1.26)
rs9274856 (p21.1)
44538139
(43529797–
45538139)
LOC1053
75075,
SUPT3H

(intergenic)
KnownG
A
ALL2.30E-090.76
(0.70–0.83)
0.250.824
0.864
1.22E-070.72
(0.64–0.82)
0.843
0.860
6.39E-020.86 (0.73–1.01)0.829
0.872
7.98E-030.74
(0.59–0.92)
Cervical3.77E-030.82
(0.71–0.94)
0.460.835
0.864
5.95E-030.79
(0.66–0.93)
0.846
0.860
2.40E-010.87
(0.70–1.09)
--
Thoracic7.48E-060.72
(0.62–0.83)
0.920.818
0.864
2.63E-030.69
(0.55–0.88)
0.815
0.860
4.16E-020.71
(0.51–0.99)
0.829
0.872
7.98E-030.74
(0.59–0.92)
rs3748108 (q23.1)
109096029
(108022775–
110588327)
RSPO2
(upstream)
KnownG
A
ALL1.03E-150.75
(0.70–0.81)
0.930.323
0.387
9.56E-100.74
(0.68–0.82)
0.328
0.385
2.72E-050.77
(0.68–0.87)
0.329
0.395
2.06E-030.76
(0.64–0.90)
Cervical6.04E-080.75
(0.67–0.83)
0.140.337
0.387
6.95E-040.79
(0.69–0.91)
0.300
0.385
7.42E-060.67
(0.56–0.80)
--
Thoracic2.66E-070.73
(0.65–0.82)
6.6E-020.282
0.387
2.81E-060.62
(0.50–0.75)
0.366
0.385
4.85E-010.91
(0.70–1.19)
0.329
0.395
2.06E-030.76
(0.64–0.90)
rs18982878 (q23.3)
117579970
(116484907–
118588193)
LINC00536,
EIF3H
(intergenic)
KnownA
C
ALL2.18E-100.80
(0.75–0.86)
0.160.605
0.668
2.90E-090.75
(0.69–0.83)
0.625
0.664
8.33E-030.85
(0.75–0.96)
0.633
0.664
1.85E-010.89
(0.74–1.06)
Cervical1.10E-020.87
(0.78–0.97)
0.510.633
0.668
1.61E-020.85
(0.74–0.97)
0.641
0.664
2.92E-010.91
(0.77–1.08)
--
Thoracic2.18E-040.80
(0.71–0.90)
0.100.584
0.668
7.40E-050.68
(0.56–0.82)
0.637
0.664
3.80E-010.88
(0.67–1.16)
0.633
0.664
1.85E-010.89
(0.74–1.06)
rs3550524811 (q14.2)
86830927
(85724086–
87887931)
TMEM135
(intronic)
NovelT
A
ALL6.75E-100.81
(0.75–0.86)
0.440.624
0.665
1.76E-040.84
(0.76–0.92)
0.594
0.659
7.06E-060.76
(0.67–0.85)
0.604
0.649
1.90E-020.81
(0.68–0.97)
Cervical1.06E-040.81
(0.73–0.90)
2.7E-020.640
0.665
1.03E-010.89
(0.78–1.02)
0.577
0.659
3.30E-050.70
(0.60–0.83)
--
Thoracic4.53E-040.81
(0.72–0.91)
0.650.605
0.665
7.62E-030.77
(0.64–0.93)
0.635
0.659
4.67E-010.90
(0.69–1.19)
0.604
0.649
1.90E-020.81
(0.68–0.97)
rs3528106012 (p12.3)
19976182
(18955794–
20077000)
AEBP2
,LINC02398
(intergenic)
NovelTG
T
ALL1.39E-120.79
(0.74–0.84)
0.580.451
0.500
3.50E-060.81
(0.74–0.88)
0.451
0.506
2.92E-050.77
(0.69–0.87)
0.429
0.505
4.50E-040.73
(0.61–0.87)
Cervical1.06E-050.80
(0.72–0.88)
0.430.456
0.500
2.74E-030.82
(0.72–0.93)
0.445
0.506
8.81E-040.76
(0.64–0.89)
--
Thoracic1.48E-060.75
(0.67–0.85)
0.380.424
0.500
5.18E-040.72
(0.60–0.87)
0.482
0.506
3.94E-010.89
(0.69–1.16)
0.429
0.505
4.50E-040.73
(0.61–0.87)
rs1084144212 (p12.2)
20213600
(20077000–
21247540)
LINC02398
(ncRNA
_intronic)
KnownT
C
ALL1.03E-120.78
(0.73–0.84)
0.610.422
0.489
1.07E-080.77
(0.70–0.84)
0.424
0.480
6.60E-050.78
(0.69–0.88)
0.418
0.456
7.56E-020.85
(0.71–1.02)
Cervical1.57E-080.74
(0.67–0.82)
0.710.413
0.489
2.87E-060.73
(0.64–0.83)
0.420
0.480
1.40E-030.76
(0.65–0.90)
--
Thoracic1.80E-040.80
(0.71–0.90)
0.600.417
0.489
1.91E-030.74
(0.62–0.90)
0.432
0.480
1.32E-010.82
(0.62–1.06)
0.418
0.456
7.56E-020.85
(0.71–1.02)
rs1104952912 (p11.22)
28471504
(27300776–
28800000)
CCDC91
(intronic)
KnownC
T
ALL1.01E-130.77
(0.72–0.83)
0.630.569
0.629
6.72E-090.76
(0.69–0.83)
0.564
0.627
1.31E-050.76
(0.67–0.86)
0.572
0.601
5.63E-020.84
(0.70–1.00)
Cervical2.57E-060.78
(0.70–0.87)
0.890.575
0.629
3.06E-040.78
(0.69–0.90)
0.566
0.627
2.55E-030.77
(0.65–0.91)
--
Thoracic9.93E-060.77
(0.68–0.86)
0.290.541
0.629
6.68E-050.68
(0.57–0.82)
0.577
0.627
1.15E-010.80
(0.61–1.05)
0.572
0.601
5.63E-020.84
(0.70–1.00)
rs103866612 (p11.22)
29085005
(28800000–
30107711)
CCDC91,
FAR2
(intergenic)
NovelG
A
ALL5.09E-100.81
(0.76–0.87)
0.060.573
0.609
1.43E-030.86
(0.79–0.95)
0.532
0.613
8.18E-080.72
(0.64–0.81)
0.553
0.601
2.03E-020.81
(0.68–0.97)
Cervical5.48E-050.81
(0.74–0.90)
0.290.569
0.609
1.12E-020.85
(0.75–0.96)
0.546
0.613
9.33E-040.76
(0.65–0.89)
--
Thoracic2.89E-060.76
(0.68–0.85)
0.220.551
0.609
9.54E-030.79
(0.65–0.94)
0.496
0.613
3.43E-040.62
(0.48–0.81)
0.553
0.601
2.03E-020.81
(0.68–0.97)
rs1115773314 (q21.3)
50727523
(49727523–
51729133)
L2HGDH
(intronic)
NovelG
A
ALL2.65E-081.21
(1.13–1.29)
0.580.463
0.423
2.90E-041.18
(1.08–1.30)
0.478
0.419
7.52E-051.27
(1.13–1.43)
0.460
0.426
7.18E-021.17
(0.99–1.38)
Cervical5.28E-041.20
(1.08–1.32)
0.740.461
0.423
1.20E-021.18
(1.04–1.34)
0.468
0.419
1.60E-021.22
(1.04–1.44)
--
Thoracic1.48E-031.20
(1.07–1.34)
0.190.446
0.423
2.53E-011.11
(0.93–1.34)
0.517
0.419
2.89E-031.49
(1.15–1.93)
0.460
0.426
7.18E-021.17
(0.99–1.38)
rs5825559814 (q23.2)
62131805
(61131805–
63131805)
FLJ22447,
HIF1A-AS1
(intergenic)
NovelC
T
ALL2.16E-080.81
(0.75–0.87)
0.760.276
0.319
1.75E-040.83
(0.75–0.91)
0.278
0.324
1.67E-030.81
(0.71–0.92)
0.272
0.324
4.88E-030.76
(0.63–0.92)
Cervical2.19E-030.84
(0.75–0.94)
0.360.287
0.319
6.19E-020.87
(0.76–1.01)
0.271
0.324
9.53E-030.79
(0.65–0.94)
--
Thoracic1.36E-050.75
(0.66–0.86)
0.960.254
0.319
4.37E-030.73
(0.59–0.91)
0.270
0.324
8.52E-020.77
(0.57–1.04)
0.272
0.324
4.88E-030.76
(0.63–0.92)
rs18964674215 (q25.3)
88017055
(87017055–
89017055)
AGBL1,
LINC00052
(intergenic)
NovelG
A
ALL2.13E-082.03
(1.59–2.61)
0.420.026
0.012
2.49E-072.31
(1.68–3.17)
0.017
0.011
7.34E-021.57
(0.96–2.58)
0.020
0.012
7.05E-021.85
(0.95–3.60)
Cervical3.25E-052.14
(1.50–3.07)
0.670.025
0.012
2.88E-042.27
(1.46–3.53)
0.021
0.011
3.81E-021.92
(1.04–3.56)
--
Thoracic1.77E-021.72
(1.10–2.70)
0.570.022
0.012
6.48E-021.88
(0.96–3.68)
0.010
0.011
7.99E-010.83
(0.20–3.46)
0.020
0.012
7.05E-021.85
(0.95–3.60)
rs37698937616 (q22.1)
69854329
(68854329–
70854329)
WWP2
(intronic)
NovelT
TAG
ALL1.08E-080.79
(0.73–0.86)
0.450.660
0.693
4.48E-050.80
(0.71–0.89)
0.677
0.702
1.28E-020.83
(0.72–0.96)
0.639
0.699
7.28E-040.71
(0.58–0.87)
Cervical2.70E-040.80
(0.71–0.90)
0.830.658
0.693
2.65E-030.79
(0.68–0.92)
0.673
0.702
3.87E-020.81
(0.66–0.99)
--
Thoracic4.10E-070.71
(0.62–0.81)
0.810.631
0.693
5.18E-040.68
(0.54–0.84)
0.663
0.702
1.07E-010.77
(0.56–1.06)
0.639
0.699
7.28E-040.71
(0.58–0.87)
rs614044220 (p12.3)
7829397
(6713042–
8882559)
MIR8062,
HAO1
(intergenic)
KnownC
A
ALL2.70E-141.39
(1.28–1.51)
0.070.205
0.150
1.41E-111.48
(1.32–1.66)
0.197
0.153
3.33E-051.38
(1.18–1.60)
0.155
0.143
5.10E-011.08
(0.85–1.38)
Cervical4.47E-081.42
(1.25–1.61)
0.610.204
0.150
3.67E-061.46
(1.24–1.71)
0.196
0.153
3.06E-031.36
(1.11–1.67)
--
Thoracic2.45E-021.19
(1.02–1.39)
0.220.197
0.150
5.64E-031.39
(1.10–1.76)
0.153
0.153
9.38E-011.01
(0.71–1.46)
0.155
0.143
5.10E-011.08
(0.85–1.38)
  1. SNP, single-nucleotide polymorphism; CHR, chromosome; REF, reference; ALT, alternative; OPLL, ossification of the posterior longitudinal ligament of the spine; GWAS, genome-wide association study; OR, odds ratio; CI, confidence interval; ALL, cervical + thoracic + others.

  2. *Gene in or near region of association.

  3. Phet was derived from a Cochran’s Q-test for heterogeneity.

Author response table 1
Estimates of Egger intercept.
TraitOPLL typeEgger_intercept (se)p
Body fat percentageALL-0.0285 (0.0107)7.82E-03
Body fat percentageC-0.0120 (0.0148)4.16E-01
Body fat percentageT-0.0672 (0.0160)3.48E-05
Leg fat percentage (right)ALL-0.0302 (0.0084)3.98E-04
Leg fat percentage (right)C-0.0163 (0.0118)1.71E-01
Leg fat percentage (right)T-0.0608 (0.0125)2.10E-06
Leg fat percentage (left)ALL-0.0304 (0.0084)3.51E-04
Leg fat percentage (left)C-0.0161 (0.0118)1.73E-01
Leg fat percentage (left)T-0.0606 (0.0125)2.08E-06
Arm fat percentage (right)ALL-0.0272 (0.0092)3.32E-03
Arm fat percentage (right)C-0.0105 (0.0128)4.12E-01
Arm fat percentage (right)T-0.0604 (0.0136)1.34E-05
Arm fat percentage (left)ALL-0.0280 (0.0091)2.33E-03
Arm fat percentage (left)C-0.0121 (0.0127)3.41E-01
Arm fat percentage (left)T-0.0587 (0.0136)2.15E-05
Trunk fat percentageALL-0.0169 (0.0111)1.29E-01
Trunk fat percentageC-0.0050 (0.0152)7.46E-01
Trunk fat percentageT-0.0478 (0.0168)4.77E-03
  1. OPLL, ossification of the posterior longitudinal ligament of the spine; ALL, cervical + thoracic + others; C, cervical; T, thoracic.

Additional files

Supplementary file 1

Characteristics of the subjects.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp1-v1.xlsx
Supplementary file 2

Independent signals identified by a conditional analysis.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp2-v1.xlsx
Supplementary file 3

Functional annotation of SNPs correlated with previously unreported OPLL signals (r2 > 0.8).

https://cdn.elifesciences.org/articles/86514/elife-86514-supp3-v1.xlsx
Supplementary file 4

Causal variants estimated by a Bayesian statistical fine-mapping analysis.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp4-v1.xlsx
Supplementary file 5

Gene set enrichment analysis.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp5-v1.xlsx
Supplementary file 6

Gene-based analysis.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp6-v1.xlsx
Supplementary file 7

eQTL analyses for the OPLL-associated SNPs.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp7-v1.xlsx
Supplementary file 8

Summary data-based Mendelian randomization.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp8-v1.xlsx
Supplementary file 9

Enrichment analysis for active enhancer by cell groups.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp9-v1.xlsx
Supplementary file 10

Enrichment analysis for active enhancer by cell types.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp10-v1.xlsx
Supplementary file 11

Genome-wide significant loci in cervical/thoracic OPLL.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp11-v1.xlsx
Supplementary file 12

Details of genes analyzed by gene expression analysis.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp12-v1.xlsx
Supplementary file 13

Genetic correlation between OPLL and other disease or quantitative trait.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp13-v1.xlsx
Supplementary file 14

Instrument variables to analyze the causal effect on OPLL.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp14-v1.xlsx
Supplementary file 15

MR analyses inferring causality of body mass index, type 2 diabetes, cerebral aneurysm, and bone mineral density on OPLL.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp15-v1.xlsx
Supplementary file 16

Estimates of Egger intercept in Mendelian randomization for four traits and OPLL.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp16-v1.xlsx
Supplementary file 17

Instrument variables in the reverse-direction Mendelian randomization analysis.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp17-v1.xlsx
Supplementary file 18

Reverse-direction Mendelian randomization analysis.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp18-v1.xlsx
Supplementary file 19

Results of Mandelian rondomization of body mass index and OPLL using Japanese data only.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp19-v1.xlsx
Supplementary file 20

Instrument variables used in additional Mendelian randomization for obesity related traits.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp20-v1.xlsx
Supplementary file 21

MR analyses inferring causality of the obesity-related traits on OPLL.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp21-v1.xlsx
Supplementary file 22

Estimates of Egger intercept in Mendelian randomization for obesity-related traits and OPLL.

https://cdn.elifesciences.org/articles/86514/elife-86514-supp22-v1.xlsx
MDAR checklist
https://cdn.elifesciences.org/articles/86514/elife-86514-mdarchecklist1-v1.docx

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  1. Yoshinao Koike
  2. Masahiko Takahata
  3. Masahiro Nakajima
  4. Nao Otomo
  5. Hiroyuki Suetsugu
  6. Xiaoxi Liu
  7. Tsutomu Endo
  8. Shiro Imagama
  9. Kazuyoshi Kobayashi
  10. Takashi Kaito
  11. Satoshi Kato
  12. Yoshiharu Kawaguchi
  13. Masahiro Kanayama
  14. Hiroaki Sakai
  15. Takashi Tsuji
  16. Takeshi Miyamoto
  17. Hiroyuki Inose
  18. Toshitaka Yoshii
  19. Masafumi Kashii
  20. Hiroaki Nakashima
  21. Kei Ando
  22. Yuki Taniguchi
  23. Kazuhiro Takeuchi
  24. Shuji Ito
  25. Kohei Tomizuka
  26. Keiko Hikino
  27. Yusuke Iwasaki
  28. Yoichiro Kamatani
  29. Shingo Maeda
  30. Hideaki Nakajima
  31. Kanji Mori
  32. Atsushi Seichi
  33. Shunsuke Fujibayashi
  34. Tsukasa Kanchiku
  35. Kei Watanabe
  36. Toshihiro Tanaka
  37. Kazunobu Kida
  38. Sho Kobayashi
  39. Masahito Takahashi
  40. Kei Yamada
  41. Hiroshi Takuwa
  42. Hsing-Fang Lu
  43. Shumpei Niida
  44. Kouichi Ozaki
  45. Yukihide Momozawa
  46. Genetic Study Group of Investigation Committee on Ossification of the Spinal Ligaments
  47. Masashi Yamazaki
  48. Atsushi Okawa
  49. Morio Matsumoto
  50. Norimasa Iwasaki
  51. Chikashi Terao
  52. Shiro Ikegawa
(2023)
Genetic insights into ossification of the posterior longitudinal ligament of the spine
eLife 12:e86514.
https://doi.org/10.7554/eLife.86514