Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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 и др.
в: Pain, Том 162, № 8, 01.08.2021, стр. 2263-2272.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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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
N1 - Publisher Copyright: Copyright © 2021 International Association for the Study of Pain.
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