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Suri P, Elgaeva EE, Williams FMK, Freidin MB, Verzun DA, Tsepilov YA. Repurposing Antihypertensive and Statin Medications for Spinal Pain: A Mendelian Randomization Study. Spine (Phila Pa 1976) 2023; 48:1568-1574. [PMID: 37539717 DOI: 10.1097/brs.0000000000004790] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 07/24/2023] [Indexed: 08/05/2023]
Abstract
STUDY DESIGN Mendelian randomization (MR) study. OBJECTIVE To examine whether antihypertensive medications (beta-blockers, calcium channel blockers, and angiotensin-converting enzyme inhibitors) and statins can be repurposed to prevent or treat spinal pain (back or neck pain). SUMMARY OF BACKGROUND DATA Observational studies and a recent MR study have found associations between elevated blood pressure and a greater risk of back pain. Observational studies have found associations between hyperlipidemia and statin use and greater risk of back pain. No prior MR studies have examined the effects of antihypertensives or statins on spinal pain. MATERIALS AND METHODS This was a two-sample MR study using publicly available summary statistics from large-scale genome-wide association studies (GWAS). Sample sizes in exposure GWASs were n=757,601 (systolic blood pressure) and n=173,082 (low-density lipoprotein cholesterol), and n=1,028,947 for the outcome GWAS of spinal pain defined as health care seeking for any spinal pain-related diagnosis. Genes and cis-acting variants were identified as proxies for the drug targets of interest. MR analyses used inverse-variance weighted meta-analysis. The threshold for statistical significance after correction for multiple testing was P <0.0125. RESULTS No statistically significant associations of these medications with spinal pain were found. However, findings were suggestive of a protective effect of beta-blockers on spinal pain risk (odds ratio [OR] 0.84, 95% confidence interval [CI] 0.72-0.98; P =0.03), and calcium channel blockers on greater spinal pain risk (OR 1.12, 95% CI 1.02-1.24; P =0.02). CONCLUSIONS A protective effect of beta-blockers on spinal pain was suggested in the current study, consistent with findings from observational studies of various other pain phenotypes. The detrimental effect of calcium channel blockers on spinal pain suggested in the current study must be interpreted in the context of conflicting directions of effect on nonspinal pain phenotypes in other observational studies.This Mendelian randomization study examined whether antihypertensive medications (beta-blockers, calcium channel blockers, and angiotensin-converting enzyme inhibitors) and statins can be repurposed to prevent or treat spinal.This was a two-sample MR study using publicly available summary statistics from large-scale genome-wide association studies ranging size from 173,082 to 1,028,947 adults.While no statistically significant associations were found, a protective effect of beta-blockers on spinal pain was suggested (odds ratio [OR] 0.84, 95% confidence interval [CI] 0.72 to 0.98; p= 0.03), as was a detrimental effect of calcium channel blockers on spinal pain (OR 1.12, 95% CI 1.02 to 1.24; p= 0.02).
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Affiliation(s)
- Pradeep Suri
- Division of Rehabilitation Care Services, VA Puget Sound Health Care System, Seattle, WA
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA
- Clinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, Seattle, WA
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA
| | - Elizaveta E Elgaeva
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - Maxim B Freidin
- Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, UK
| | - Dmitrii A Verzun
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Yakov A Tsepilov
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Novosibirsk, Russia
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Zorkoltseva IV, Elgaeva EE, Belonogova NM, Kirichenko AV, Svishcheva GR, Freidin MB, Williams FMK, Suri P, Tsepilov YA, Axenovich TI. Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes. Genes (Basel) 2023; 14:1962. [PMID: 37895311 PMCID: PMC10606006 DOI: 10.3390/genes14101962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023] Open
Abstract
Back pain (BP) is a major contributor to disability worldwide, with heritability estimated at 40-60%. However, less than half of the heritability is explained by common genetic variants identified by genome-wide association studies. More powerful methods and rare and ultra-rare variant analysis may offer additional insight. This study utilized exome sequencing data from the UK Biobank to perform a multi-trait gene-based association analysis of three BP-related phenotypes: chronic back pain, dorsalgia, and intervertebral disc disorder. We identified the SLC13A1 gene as a contributor to chronic back pain via loss-of-function (LoF) and missense variants. This gene has been previously detected in two studies. A multi-trait approach uncovered the novel FSCN3 gene and its impact on back pain through LoF variants. This gene deserves attention because it is only the second gene shown to have an effect on back pain due to LoF variants and represents a promising drug target for back pain therapy.
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Affiliation(s)
- Irina V. Zorkoltseva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.V.Z.); (E.E.E.); (N.M.B.); (A.V.K.); (G.R.S.); (Y.A.T.)
| | - Elizaveta E. Elgaeva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.V.Z.); (E.E.E.); (N.M.B.); (A.V.K.); (G.R.S.); (Y.A.T.)
- Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Nadezhda M. Belonogova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.V.Z.); (E.E.E.); (N.M.B.); (A.V.K.); (G.R.S.); (Y.A.T.)
| | - Anatoliy V. Kirichenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.V.Z.); (E.E.E.); (N.M.B.); (A.V.K.); (G.R.S.); (Y.A.T.)
| | - Gulnara R. Svishcheva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.V.Z.); (E.E.E.); (N.M.B.); (A.V.K.); (G.R.S.); (Y.A.T.)
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
| | - Maxim B. Freidin
- Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, London EC1M 6BQ, UK;
| | - Frances M. K. Williams
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK;
| | - Pradeep Suri
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA 98108, USA
- Division of Rehabilitation Care Services, Seattle, WA 98208, USA
- Clinical Learning, Evidence, and Research Center, University of Washington, Seattle, WA 98195, USA
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA 98195, USA
| | - Yakov A. Tsepilov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.V.Z.); (E.E.E.); (N.M.B.); (A.V.K.); (G.R.S.); (Y.A.T.)
| | - Tatiana I. Axenovich
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia; (I.V.Z.); (E.E.E.); (N.M.B.); (A.V.K.); (G.R.S.); (Y.A.T.)
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Elgaeva EE, Williams FMK, Zaytseva OO, Freidin MB, Aulchenko YS, Suri P, Tsepilov YA. Bidirectional Mendelian Randomization Study of Personality Traits Reveals a Positive Feedback Loop Between Neuroticism and Back Pain. The Journal of Pain 2023; 24:1875-1885. [PMID: 37270142 DOI: 10.1016/j.jpain.2023.05.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 04/11/2023] [Accepted: 05/24/2023] [Indexed: 06/05/2023]
Abstract
We conducted a bidirectional Mendelian randomization study to examine the causal effects of six personality traits (anxiety, neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness) on back pain associated with health care use and the causal effect of back pain on the same risk factors. Genetic instruments for the personality traits and back pain were obtained from the largest published genome-wide association studies conducted in individuals of European ancestry. We used inverse weighted variance meta-analysis and Causal Analysis Using Summary Effect for primary analyses and sensitivity analyses to examine evidence for causal associations. We interpreted exposure-outcome associations as being consistent with a causal relationship if results of at least one primary analysis were statistically significant after accounting for multiple statistical testing (P-value < .0042), and the direction and magnitude of effect estimates were concordant between primary and sensitivity analyses. We found evidence for statistically significant bidirectional causal associations between neuroticism and back pain, with odds ratio 1.51 (95% confidence interval 1.37; 1.67) of back pain per neuroticism sum score standard deviation, P-value = 7.80e-16; and beta = .12, se = .04 of neuroticism sum score standard deviation per log odds of back pain, P-value = 2.48e-03. Other relationships did not meet our predefined criteria for causal association. PERSPECTIVE: The significant positive feedback loop between neuroticism and back pain highlights the importance of considering neuroticism in the management of patients with back pain.
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Affiliation(s)
- Elizaveta E Elgaeva
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia; Institute of Cytology and Genetics, Novosibirsk, Russia.
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | | | - Maxim B Freidin
- Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Yurii S Aulchenko
- Institute of Cytology and Genetics, Novosibirsk, Russia; PolyOmica, 's-Hertogenbosch, The Netherlands
| | - Pradeep Suri
- Division of Rehabilitation Care Services, VA Puget Sound Health Care System, Seattle, Washington, USA; Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, Washington, USA; Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA; Clinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, Seattle, Washington, USA
| | - Yakov A Tsepilov
- Institute of Cytology and Genetics, Novosibirsk, Russia; Kurchatov Genomics Center, Institute of Cytology & Genetics, Novosibirsk, Russia
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Suri P, Elgaeva EE, Williams FMK, Freidin MB, Zaytseva OO, Aulchenko YS, Tsepilov YA. Evidence of causal effects of blood pressure on back pain and back pain on type II diabetes provided by a bidirectional Mendelian randomization study. Spine J 2023; 23:1161-1171. [PMID: 37061135 DOI: 10.1016/j.spinee.2023.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/01/2023] [Accepted: 04/07/2023] [Indexed: 04/17/2023]
Abstract
BACKGROUND CONTEXT Cardiovascular risk factors (hypertension, dyslipidemia, and type II diabetes) have been proposed as risk factors for back pain. However, few longitudinal studies have found significant associations between cardiovascular risk factors and back pain, and these may be explained by confounding or reverse causation. PURPOSE To examine potential causal effects of cardiovascular risk factors on back pain, and vice versa. STUDY DESIGN Bidirectional Mendelian randomization (MR) study. PATIENT SAMPLES Genome-wide association studies (GWAS) with sample sizes between 173,082 and 1,028,947 participants. OUTCOME MEASURES Outcomes included (1) back pain associated with health care use (BP-HC) in the forward MR; and (2) seven cardiovascular phenotypes in the reverse MR, including 2 measurements used for the evaluation of hypertension (diastolic blood pressure and systolic blood pressure), 4 phenotypes related to dyslipidemia (LDL cholesterol, HDL cholesterol, total cholesterol, and triglycerides), and type II diabetes. METHODS We used summary statistics from large, publicly available GWAS for BP-HC and the 7 cardiovascular phenotypes to obtain genetic instrumental variables. We examined MR evidence for causal associations using inverse-variance weighted (IVW) analysis, Causal Analysis Using Summary Effect (CAUSE), and sensitivity analyses. RESULTS In forward MR analyses of seven cardiovascular phenotypes, diastolic blood pressure was associated with BP-HC across all analyses (IVW estimate: OR = 1.10 per 10.5 mm Hg increase [1.04-1.17], p-value = .001), and significant associations of systolic blood pressure with BP-HC were also found (IVW estimate: OR = 1.09 per 19.3 mm Hg increase [1.04-1.15], p-value = .0006). In reverse MR analyses, only type II diabetes was associated with BP-HC across all analyses (IVW estimate: OR = 1.40 [1.13-1.73], p-value = .002). CONCLUSIONS These findings from analyses of large, population-based samples indicate that higher blood pressure increases the risk of BP-HC, and BP-HC itself increases the risk of type II diabetes.
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Affiliation(s)
- Pradeep Suri
- Division of Rehabilitation Care Services, VA Puget Sound Health Care System, 1660 S. Columbian Way, 98108, Seattle, USA; Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, 1660 S. Columbian Way, 98108, Seattle, USA; Department of Rehabilitation Medicine, University of Washington, 325 Ninth Avenue, 98104, Seattle, USA; Clinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, 325 Ninth Avenue, 98104, Seattle, USA.
| | - Elizaveta E Elgaeva
- Department of Natural Sciences, Novosibirsk State University, Pirogova Street 2, 630090,Novosibirsk, Russia; Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 630090, Novosibirsk, Russia
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, Westminster Bridge Road, London, UK
| | - Maxim B Freidin
- Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, Fogg Buliding, Mile End Road, London, UK
| | - Olga O Zaytseva
- Genos Glycoscience Research Laboratory, Borongajska cesta 83H, 10000, Zagreb, Croatia
| | - Yurii S Aulchenko
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 630090, Novosibirsk, Russia; PolyOmica, Het Vlaggeschip 61, 5237 PA, 's-Hertogenbosch, the Netherlands
| | - Yakov A Tsepilov
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 630090, Novosibirsk, Russia; Kurchatov Genomics Center, Institute of Cytology & Genetics, 630090, Novosibirsk, Russia
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Tsepilov YA, Elgaeva EE, Nostaeva AV, Compte R, Kuznetsov IA, Karssen LC, Freidin MB, Suri P, Williams FMK, Aulchenko YS. Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain. J Pers Med 2023; 13:977. [PMID: 37373966 DOI: 10.3390/jpm13060977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/25/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023] Open
Abstract
Chronic back pain (CBP) is a complex heritable trait and a major cause of disability worldwide. We developed and validated a genome-wide polygenic risk score (PRS) for CBP using a large-scale GWAS based on UK Biobank participants of European ancestry (N = 265,000). The PRS showed poor overall predictive ability (AUC = 0.56 and OR = 1.24 per SD, 95% CI: 1.22-1.26), but individuals from the 99th percentile of PRS distribution had a nearly two-fold increased risk of CBP (OR = 1.82, 95% CI: 1.60-2.06). We validated the PRS on an independent TwinsUK sample, obtaining a similar magnitude of effect. The PRS was significantly associated with various ICD-10 and OPCS-4 diagnostic codes, including chronic ischemic heart disease (OR = 1.1, p-value = 4.8 × 10-15), obesity, metabolism-related traits, spine disorders, disc degeneration, and arthritis-related disorders. PRS and environment interaction analysis with twelve known CBP risk factors revealed no significant results, suggesting that the magnitude of G × E interactions with studied factors is small. The limited predictive ability of the PRS that we developed is likely explained by the complexity, heterogeneity, and polygenicity of CBP, for which sample sizes of a few hundred thousand are insufficient to estimate small genetic effects robustly.
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Affiliation(s)
- Yakov A Tsepilov
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Novosibirsk 630090, Russia
- Kurchatov Genomics Center, Institute of Cytology and Genetics, Novosibirsk 630090, Russia
| | - Elizaveta E Elgaeva
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Novosibirsk 630090, Russia
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Arina V Nostaeva
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Roger Compte
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London SE1 7EH, UK
| | - Ivan A Kuznetsov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow 121205, Russia
| | | | - Maxim B Freidin
- Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK
| | - Pradeep Suri
- Division of Rehabilitation Care Services, VA Puget Sound Health Care System, Seattle, WA 98208, USA
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA 98208, USA
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA 98208, USA
- Clinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, Seattle, WA 98208, USA
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London SE1 7EH, UK
| | - Yurii S Aulchenko
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Novosibirsk 630090, Russia
- PolyOmica, 5237 PA s-Hertogenbosch, The Netherlands
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Svishcheva GR, Tiys ES, Elgaeva EE, Feoktistova SG, Timmers PRHJ, Sharapov SZ, Axenovich TI, Tsepilov YA. A Novel Framework for Analysis of the Shared Genetic Background of Correlated Traits. Genes (Basel) 2022; 13:genes13101694. [PMID: 36292579 PMCID: PMC9602050 DOI: 10.3390/genes13101694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/12/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022] Open
Abstract
We propose a novel effective framework for the analysis of the shared genetic background for a set of genetically correlated traits using SNP-level GWAS summary statistics. This framework called SHAHER is based on the construction of a linear combination of traits by maximizing the proportion of its genetic variance explained by the shared genetic factors. SHAHER requires only full GWAS summary statistics and matrices of genetic and phenotypic correlations between traits as inputs. Our framework allows both shared and unshared genetic factors to be effectively analyzed. We tested our framework using simulation studies, compared it with previous developments, and assessed its performance using three real datasets: anthropometric traits, psychiatric conditions and lipid concentrations. SHAHER is versatile and applicable to summary statistics from GWASs with arbitrary sample sizes and sample overlaps, allows for the incorporation of different GWAS models (Cox, linear and logistic), and is computationally fast.
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Affiliation(s)
- Gulnara R. Svishcheva
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 117971 Moscow, Russia
| | - Evgeny S. Tiys
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Elizaveta E. Elgaeva
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Sofia G. Feoktistova
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Paul R. H. J. Timmers
- MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH8 9YL, UK
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9YL, UK
| | - Sodbo Zh. Sharapov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Tatiana I. Axenovich
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Yakov A. Tsepilov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
- Correspondence:
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Sharapov SZ, Shadrina AS, Tsepilov YA, Elgaeva EE, Tiys ES, Feoktistova SG, Zaytseva OO, Vuckovic F, Cuadrat R, Jäger S, Wittenbecher C, Karssen LC, Timofeeva M, Tillin T, Trbojević-Akmačić I, Štambuk T, Rudman N, Krištić J, Šimunović J, Momčilović A, Vilaj M, Jurić J, Slana A, Gudelj I, Klarić T, Puljak L, Skelin A, Kadić AJ, Van Zundert J, Chaturvedi N, Campbell H, Dunlop M, Farrington SM, Doherty M, Dagostino C, Gieger C, Allegri M, Williams F, Schulze MB, Lauc G, Aulchenko YS. Replication of 15 loci involved in human plasma protein N-glycosylation in 4802 samples from four cohorts. Glycobiology 2021; 31:82-88. [PMID: 32521004 PMCID: PMC7874387 DOI: 10.1093/glycob/cwaa053] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/27/2020] [Accepted: 06/08/2020] [Indexed: 12/17/2022] Open
Abstract
Human protein glycosylation is a complex process, and its in vivo regulation is poorly understood. Changes in glycosylation patterns are associated with many human diseases and conditions. Understanding the biological determinants of protein glycome provides a basis for future diagnostic and therapeutic applications. Genome-wide association studies (GWAS) allow to study biology via a hypothesis-free search of loci and genetic variants associated with a trait of interest. Sixteen loci were identified by three previous GWAS of human plasma proteome N-glycosylation. However, the possibility that some of these loci are false positives needs to be eliminated by replication studies, which have been limited so far. Here, we use the largest set of samples so far (4802 individuals) to replicate the previously identified loci. For all but one locus, the expected replication power exceeded 95%. Of the 16 loci reported previously, 15 were replicated in our study. For the remaining locus (near the KREMEN1 gene), the replication power was low, and hence, replication results were inconclusive. The very high replication rate highlights the general robustness of the GWAS findings as well as the high standards adopted by the community that studies genetic regulation of protein glycosylation. The 15 replicated loci present a good target for further functional studies. Among these, eight loci contain genes encoding glycosyltransferases: MGAT5, B3GAT1, FUT8, FUT6, ST6GAL1, B4GALT1, ST3GAL4 and MGAT3. The remaining seven loci offer starting points for further functional follow-up investigation into molecules and mechanisms that regulate human protein N-glycosylation in vivo.
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Affiliation(s)
- Sodbo Zh Sharapov
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Alexandra S Shadrina
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Yakov A Tsepilov
- Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, Pirogova 1, Novosibirsk, 630090, Russia
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Elizaveta E Elgaeva
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Evgeny S Tiys
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Sofya G Feoktistova
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
| | - Olga O Zaytseva
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Frano Vuckovic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Rafael Cuadrat
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
| | - Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), ngolstädter Landstraβe 1, Neuherberg, 85764, Germany
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), ngolstädter Landstraβe 1, Neuherberg, 85764, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | | | - Maria Timofeeva
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
- D-IAS, Danish Institute for Advanced Study, Department of Public Health, University of Southern Denmark, , J.B. Winsløws Vej 9, DK-5000 Odense C, Denmark
| | - Therese Tillin
- MRC Unit for Lifelong Health & Ageing University College London, Gower Street, London, WC1E 6BT, UK
| | | | - Tamara Štambuk
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Najda Rudman
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, 10000, Croatia
| | - Jasminka Krištić
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Jelena Šimunović
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Ana Momčilović
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Marija Vilaj
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Julija Jurić
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Anita Slana
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Thomas Klarić
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Livia Puljak
- Catholic University of Croatia, Ilica, 242 Zagreb, 10000, Croatia
| | - Andrea Skelin
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
- St. Catherine Specialty Hospital, 10000 Zagreb & 49210, Zabok, Croatia
| | - Antonia Jeličić Kadić
- University Hospital Center Split, Department of Pediatrics, Spinčićeva ul. 1, Split, 21000, Croatia
| | - Jan Van Zundert
- Department of Anesthesiology and Multidisciplinary Paincentre, ZOL, Genk/Lanaken, Belgium
- Department of Anesthesiology and Pain Medicine, Maastricht University Medical Centre, P. Debyelaan 25, Maastricht, 6229 HX, The Netherlands
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health & Ageing University College London, Gower Street, London, WC1E 6BT, UK
| | - Harry Campbell
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Malcolm Dunlop
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Susan M Farrington
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Margaret Doherty
- Institute of Technology Sligo, Department of Life Sciences, Ash Ln, Bellanode, Sligo, F91 YW50, Ireland
- National Institute for Bioprocessing Research & Training, 24 Foster’s Ave, Belfield, Blackrock, Co.,Dublin, A94 X099, Ireland
| | - Concetta Dagostino
- Department of Medicine and Surgery, University of Parma, Via Gramsci 14, 43126 Parma, Italy
| | - Christian Gieger
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Centre Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany
| | - Massimo Allegri
- Pain Therapy Department Policlinico Monza Hospital, 20090 Monza, Italy
| | - Frances Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, St Thomas’ Campus, Lambeth Palace Road, London SE1 7EH, UK
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam- Rehbruecke, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), ngolstädter Landstraβe 1, Neuherberg, 85764, Germany
- Institute of Nutrition Science, University of Potsdam, 14558 Nuthetal, Germany
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, 10000 Zagreb, Croatia
| | - Yurii S Aulchenko
- Laboratory of Glycogenomics, Institute of Cytology and Genetics, Prospekt Akademika Lavrent'yeva, 10, Novosibirsk, 630090, Russia
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Elgaeva EE, Tsepilov Y, Freidin MB, Williams FMK, Aulchenko Y, Suri P. ISSLS Prize in Clinical Science 2020. Examining causal effects of body mass index on back pain: a Mendelian randomization study. Eur Spine J 2019; 29:686-691. [PMID: 31797139 DOI: 10.1007/s00586-019-06224-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 10/15/2019] [Accepted: 11/15/2019] [Indexed: 12/15/2022]
Abstract
PURPOSE Measures of body fat accumulation are associated with back pain, but a causal association is unclear. We hypothesized that BMI would have causal effects on back pain. We conducted a two-sample Mendelian randomization (MR) study to assess the causal effect of body mass index (BMI) on the outcomes of (1) back pain and (2) chronic back pain (duration > 3 months). METHODS We identified genetic instrumental variables for BMI (n = 60 variants) from a meta-analysis of genome-wide association studies (GWAS) conducted by the Genetic Investigation of ANthropometric Traits consortium in individuals of European ancestry (n = 322,154). We conducted GWAS of back pain and chronic back pain (n = 453,860) in a non-overlapping sample of individuals of European ancestry. We used inverse-variance weighted (IVW) meta-analysis as the primary method to estimate causal effects. RESULTS The IVW analysis showed evidence supporting a causal association of BMI on back pain, with a 1-standard deviation (4.65 kg/m2) increase in BMI conferring 1.15 times the odds of back pain (95% confidence interval [CI]: 1.06-1.25, p = 0.001]; effects were directionally consistent in secondary analysis and sensitivity analyses. The IVW analysis supported a causal association of BMI on chronic back pain (OR 1.20 per 1 SD deviation increase in BMI [95% CI 1.09-1.32; p = 0.0002]), and effects were directionally consistent in secondary analysis and sensitivity analyses. CONCLUSION In this first MR study of BMI and back pain, we found a significant causal effect of BMI on both back pain and chronic back pain. These slides can be retrieved under Electronic Supplementary Material.
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Affiliation(s)
- Elizaveta E Elgaeva
- Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, Novosibirsk, Russia.,Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Yakov Tsepilov
- Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, Novosibirsk, Russia.,Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Novosibirsk, Russia.,PolyOmica, 's-Hertogenbosch, The Netherlands
| | - Maxim B Freidin
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - Yurii Aulchenko
- Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, Novosibirsk, Russia.,PolyOmica, 's-Hertogenbosch, The Netherlands.,Kurchatov Genomics Center, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Pradeep Suri
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, S-152-ERIC, 1660 S. Columbian Way, Seattle, WA, 98108, USA. .,Division of Rehabilitation Care Services, VA Puget Sound Health Care System, Seattle, USA. .,Department of Rehabilitation Medicine, University of Washington, Seattle, USA.
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