2019
DOI: 10.1007/s00198-019-04835-9
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Genetic polymorphisms in IL1B predict susceptibility to steroid-induced osteonecrosis of the femoral head in Chinese Han population

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Cited by 19 publications
(15 citation statements)
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“…Rs2853550 is likely to affect TF binding, any motif and DNase peak, 20 which in turn affect the occurrence of osteoporosis. Previously, rs16944 (−511G/A) polymorphism were shown to possibly depend on IL-1B promoter region haplotypes (rs16944 and rs1143627) with respect to affecting the expression levels of IL-1β.…”
Section: Discussionmentioning
confidence: 99%
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“…Rs2853550 is likely to affect TF binding, any motif and DNase peak, 20 which in turn affect the occurrence of osteoporosis. Previously, rs16944 (−511G/A) polymorphism were shown to possibly depend on IL-1B promoter region haplotypes (rs16944 and rs1143627) with respect to affecting the expression levels of IL-1β.…”
Section: Discussionmentioning
confidence: 99%
“…Our results reveled that rs2853550, a downstream variant within IL‐1B , might be a protective factor for osteoporosis occurrence in the overall participants. Rs2853550 is likely to affect TF binding, any motif and DNase peak, 20 which in turn affect the occurrence of osteoporosis. Previously, rs16944 (−511G/A) polymorphism were shown to possibly depend on IL‐1B promoter region haplotypes (rs16944 and rs1143627) with respect to affecting the expression levels of IL‐1β 19 .…”
Section: Discussionmentioning
confidence: 99%
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“…This disease is the major cause of total hip arthroplasty in young adults (1). it is reported that more than 1 million new patients are affected with this disease annually and the annual incidence is 15 to 20 million according to a nationwide survey (2). accumulating evidence has alluded to several etiologic and pathogenic mechanisms for onFH (3).…”
Section: Introductionmentioning
confidence: 99%
“…We used HaploReg v 4.1 and RegulomeDB to functionally annotate these four genes. HaploReg has emerged as an important tool for the annotation of variants in haplotype blocks in the non-coding genome and for the prediction of cell types that are likely affected ( Ward and Kellis, 2012 ; Yu et al, 2019 ). RegulomeDB can be used to annotate regulatory variants in the human genome by giving scores to predict their functions ( Boyle et al, 2012 ).…”
Section: Methodsmentioning
confidence: 99%