Genome-wide association studies of low back pain and lumbar spinal disorders using electronic health record data identify a locus associated with lumbar spinal stenosis

Standard

Genome-wide association studies of low back pain and lumbar spinal disorders using electronic health record data identify a locus associated with lumbar spinal stenosis. / Suri, Pradeep; Stanaway, Ian B.; Zhang, Yanfei et al.

In: Pain, Vol. 162, No. 8, 01.08.2021, p. 2263-2272.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{9b34098ca2dc4b98a24a8b2719ec89fe,

title = "Genome-wide association studies of low back pain and lumbar spinal disorders using electronic health record data identify a locus associated with lumbar spinal stenosis",

abstract = "Identifying genetic risk factors for lumbar spine disorders may lead to knowledge regarding underlying mechanisms and the development of new treatments. We conducted a genome-wide association study involving 100,811 participants with genotypes and longitudinal electronic health record data from the Electronic Medical Records and Genomics Network and Geisinger Health. Cases and controls were defined using validated algorithms and clinical diagnostic codes. Electronic health record-defined phenotypes included low back pain requiring healthcare utilization (LBP-HC), lumbosacral radicular syndrome (LSRS), and lumbar spinal stenosis (LSS). Genome-wide association study used logistic regression with additive genetic effects adjusting for age, sex, site-specific factors, and ancestry (principal components). A fixed-effect inverse-variance weighted meta-analysis was conducted. Genetic variants of genome-wide significance (P < 5 × 10-8) were carried forward for replication in an independent sample from UK Biobank. Phenotype prevalence was 48.8% for LBP-HC, 19.8% for LSRS, and 7.9% for LSS. No variants were significantly associated with LBP-HC. One locus was associated with LSRS (lead variant rs146153280:C>G, odds ratio [OR] = 1.17 for G, P = 2.1 × 10-9), but was not replicated. Another locus on chromosome 2 spanning GFPT1, NFU1, and AAK1 was associated with LSS (lead variant rs13427243:G>A, OR = 1.10 for A, P = 4.3 × 10-8) and replicated in UK Biobank (OR = 1.11, P = 5.4 × 10-5). This was the first genome-wide association study meta-analysis of lumbar spinal disorders using electronic health record data. We identified 2 novel associations with LSRS and LSS; the latter was replicated in an independent sample.",

keywords = "Electronic Health Records, Genome-Wide Association Study, Humans, Low Back Pain/genetics, Lumbar Vertebrae, Prevalence, Spinal Stenosis/genetics",

author = "Pradeep Suri and Stanaway, {Ian B.} and Yanfei Zhang and Freidin, {Maxim B.} and Tsepilov, {Yakov A.} and Carrell, {David S.} and Williams, {Frances M.K.} and Aulchenko, {Yurii S.} and Hakon Hakonarson and Bahram Namjou and Crosslin, {David R.} and Jarvik, {Gail P.} and Lee, {Ming Ta}",

note = "Publisher Copyright: Copyright {\textcopyright} 2021 International Association for the Study of Pain.",

year = "2021",

month = aug,

day = "1",

doi = "10.1097/j.pain.0000000000002221",

language = "English",

volume = "162",

pages = "2263--2272",

journal = "Pain",

issn = "0304-3959",

publisher = "Lippincott Williams and Wilkins",

number = "8",

}

RIS

TY - JOUR

T1 - Genome-wide association studies of low back pain and lumbar spinal disorders using electronic health record data identify a locus associated with lumbar spinal stenosis

AU - Suri, Pradeep

AU - Stanaway, Ian B.

AU - Zhang, Yanfei

AU - Freidin, Maxim B.

AU - Tsepilov, Yakov A.

AU - Carrell, David S.

AU - Williams, Frances M.K.

AU - Aulchenko, Yurii S.

AU - Hakonarson, Hakon

AU - Namjou, Bahram

AU - Crosslin, David R.

AU - Jarvik, Gail P.

AU - Lee, Ming Ta

PY - 2021/8/1

Y1 - 2021/8/1

N2 - Identifying genetic risk factors for lumbar spine disorders may lead to knowledge regarding underlying mechanisms and the development of new treatments. We conducted a genome-wide association study involving 100,811 participants with genotypes and longitudinal electronic health record data from the Electronic Medical Records and Genomics Network and Geisinger Health. Cases and controls were defined using validated algorithms and clinical diagnostic codes. Electronic health record-defined phenotypes included low back pain requiring healthcare utilization (LBP-HC), lumbosacral radicular syndrome (LSRS), and lumbar spinal stenosis (LSS). Genome-wide association study used logistic regression with additive genetic effects adjusting for age, sex, site-specific factors, and ancestry (principal components). A fixed-effect inverse-variance weighted meta-analysis was conducted. Genetic variants of genome-wide significance (P < 5 × 10-8) were carried forward for replication in an independent sample from UK Biobank. Phenotype prevalence was 48.8% for LBP-HC, 19.8% for LSRS, and 7.9% for LSS. No variants were significantly associated with LBP-HC. One locus was associated with LSRS (lead variant rs146153280:C>G, odds ratio [OR] = 1.17 for G, P = 2.1 × 10-9), but was not replicated. Another locus on chromosome 2 spanning GFPT1, NFU1, and AAK1 was associated with LSS (lead variant rs13427243:G>A, OR = 1.10 for A, P = 4.3 × 10-8) and replicated in UK Biobank (OR = 1.11, P = 5.4 × 10-5). This was the first genome-wide association study meta-analysis of lumbar spinal disorders using electronic health record data. We identified 2 novel associations with LSRS and LSS; the latter was replicated in an independent sample.

AB - Identifying genetic risk factors for lumbar spine disorders may lead to knowledge regarding underlying mechanisms and the development of new treatments. We conducted a genome-wide association study involving 100,811 participants with genotypes and longitudinal electronic health record data from the Electronic Medical Records and Genomics Network and Geisinger Health. Cases and controls were defined using validated algorithms and clinical diagnostic codes. Electronic health record-defined phenotypes included low back pain requiring healthcare utilization (LBP-HC), lumbosacral radicular syndrome (LSRS), and lumbar spinal stenosis (LSS). Genome-wide association study used logistic regression with additive genetic effects adjusting for age, sex, site-specific factors, and ancestry (principal components). A fixed-effect inverse-variance weighted meta-analysis was conducted. Genetic variants of genome-wide significance (P < 5 × 10-8) were carried forward for replication in an independent sample from UK Biobank. Phenotype prevalence was 48.8% for LBP-HC, 19.8% for LSRS, and 7.9% for LSS. No variants were significantly associated with LBP-HC. One locus was associated with LSRS (lead variant rs146153280:C>G, odds ratio [OR] = 1.17 for G, P = 2.1 × 10-9), but was not replicated. Another locus on chromosome 2 spanning GFPT1, NFU1, and AAK1 was associated with LSS (lead variant rs13427243:G>A, OR = 1.10 for A, P = 4.3 × 10-8) and replicated in UK Biobank (OR = 1.11, P = 5.4 × 10-5). This was the first genome-wide association study meta-analysis of lumbar spinal disorders using electronic health record data. We identified 2 novel associations with LSRS and LSS; the latter was replicated in an independent sample.

KW - Electronic Health Records

KW - Genome-Wide Association Study

KW - Humans

KW - Low Back Pain/genetics

KW - Lumbar Vertebrae

KW - Prevalence

KW - Spinal Stenosis/genetics

UR - http://www.scopus.com/inward/record.url?scp=85112124612&partnerID=8YFLogxK

U2 - 10.1097/j.pain.0000000000002221

DO - 10.1097/j.pain.0000000000002221

M3 - Article

C2 - 33729212

AN - SCOPUS:85112124612

VL - 162

SP - 2263

EP - 2272

JO - Pain

JF - Pain

SN - 0304-3959

IS - 8

ER -

ID: 29282377