The Experts below are selected from a list of 416526 Experts worldwide ranked by ideXlab platform
N K Arden - One of the best experts on this subject based on the ideXlab platform.
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evaluation of the genetic overlap between osteoarthritis with body mass index and height using genome wide association scan data
Annals of the Rheumatic Diseases, 2013Co-Authors: Katherine S Elliott, K Chapman, Aaron G Daywilliams, Kalliope Panoutsopoulou, Lorraine Southam, Cecilia M Lindgren, N K ArdenAbstract:Objectives Obesity as measured by body mass index (BMI) is one of the major risk factors for osteoarthritis. In addition, genetic overlap has been reported between osteoarthritis and normal adult height variation. We investigated whether this relationship is due to a shared genetic aetiology on a genome-wide scale. Methods We compared genetic association summary statistics (effect size, p value) for BMI and height from the GIANT consortium genome-wide association study (GWAS) with genetic association summary statistics from the arcOGEN consortium osteoarthritis GWAS. Significance was evaluated by permutation. Replication of osteoarthritis association of the highlighted signals was investigated in an independent dataset. Phenotypic information of height and BMI was accounted for in a Separate Analysis using osteoarthritis-free controls. Results We found significant overlap between
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evaluation of the genetic overlap between osteoarthritis with body mass index and height using genome wide association scan data
Annals of the Rheumatic Diseases, 2013Co-Authors: Katherine S Elliott, K Chapman, Aaron G Daywilliams, Kalliope Panoutsopoulou, Lorraine Southam, Cecilia M Lindgren, N K ArdenAbstract:Objectives Obesity as measured by body mass index (BMI) is one of the major risk factors for osteoarthritis. In addition, genetic overlap has been reported between osteoarthritis and normal adult height variation. We investigated whether this relationship is due to a shared genetic aetiology on a genome-wide scale. Methods We compared genetic association summary statistics (effect size, p value) for BMI and height from the GIANT consortium genome-wide association study (GWAS) with genetic association summary statistics from the arcOGEN consortium osteoarthritis GWAS. Significance was evaluated by permutation. Replication of osteoarthritis association of the highlighted signals was investigated in an independent dataset. Phenotypic information of height and BMI was accounted for in a Separate Analysis using osteoarthritis-free controls. Results We found significant overlap between
K Chapman - One of the best experts on this subject based on the ideXlab platform.
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evaluation of the genetic overlap between osteoarthritis with body mass index and height using genome wide association scan data
Annals of the Rheumatic Diseases, 2013Co-Authors: Katherine S Elliott, K Chapman, Aaron G Daywilliams, Kalliope Panoutsopoulou, Lorraine Southam, Cecilia M Lindgren, N K ArdenAbstract:Objectives Obesity as measured by body mass index (BMI) is one of the major risk factors for osteoarthritis. In addition, genetic overlap has been reported between osteoarthritis and normal adult height variation. We investigated whether this relationship is due to a shared genetic aetiology on a genome-wide scale. Methods We compared genetic association summary statistics (effect size, p value) for BMI and height from the GIANT consortium genome-wide association study (GWAS) with genetic association summary statistics from the arcOGEN consortium osteoarthritis GWAS. Significance was evaluated by permutation. Replication of osteoarthritis association of the highlighted signals was investigated in an independent dataset. Phenotypic information of height and BMI was accounted for in a Separate Analysis using osteoarthritis-free controls. Results We found significant overlap between
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evaluation of the genetic overlap between osteoarthritis with body mass index and height using genome wide association scan data
Annals of the Rheumatic Diseases, 2013Co-Authors: Katherine S Elliott, K Chapman, Aaron G Daywilliams, Kalliope Panoutsopoulou, Lorraine Southam, Cecilia M Lindgren, N K ArdenAbstract:Objectives Obesity as measured by body mass index (BMI) is one of the major risk factors for osteoarthritis. In addition, genetic overlap has been reported between osteoarthritis and normal adult height variation. We investigated whether this relationship is due to a shared genetic aetiology on a genome-wide scale. Methods We compared genetic association summary statistics (effect size, p value) for BMI and height from the GIANT consortium genome-wide association study (GWAS) with genetic association summary statistics from the arcOGEN consortium osteoarthritis GWAS. Significance was evaluated by permutation. Replication of osteoarthritis association of the highlighted signals was investigated in an independent dataset. Phenotypic information of height and BMI was accounted for in a Separate Analysis using osteoarthritis-free controls. Results We found significant overlap between
Lorraine Southam - One of the best experts on this subject based on the ideXlab platform.
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evaluation of the genetic overlap between osteoarthritis with body mass index and height using genome wide association scan data
Annals of the Rheumatic Diseases, 2013Co-Authors: Katherine S Elliott, K Chapman, Aaron G Daywilliams, Kalliope Panoutsopoulou, Lorraine Southam, Cecilia M Lindgren, N K ArdenAbstract:Objectives Obesity as measured by body mass index (BMI) is one of the major risk factors for osteoarthritis. In addition, genetic overlap has been reported between osteoarthritis and normal adult height variation. We investigated whether this relationship is due to a shared genetic aetiology on a genome-wide scale. Methods We compared genetic association summary statistics (effect size, p value) for BMI and height from the GIANT consortium genome-wide association study (GWAS) with genetic association summary statistics from the arcOGEN consortium osteoarthritis GWAS. Significance was evaluated by permutation. Replication of osteoarthritis association of the highlighted signals was investigated in an independent dataset. Phenotypic information of height and BMI was accounted for in a Separate Analysis using osteoarthritis-free controls. Results We found significant overlap between
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evaluation of the genetic overlap between osteoarthritis with body mass index and height using genome wide association scan data
Annals of the Rheumatic Diseases, 2013Co-Authors: Katherine S Elliott, K Chapman, Aaron G Daywilliams, Kalliope Panoutsopoulou, Lorraine Southam, Cecilia M Lindgren, N K ArdenAbstract:Objectives Obesity as measured by body mass index (BMI) is one of the major risk factors for osteoarthritis. In addition, genetic overlap has been reported between osteoarthritis and normal adult height variation. We investigated whether this relationship is due to a shared genetic aetiology on a genome-wide scale. Methods We compared genetic association summary statistics (effect size, p value) for BMI and height from the GIANT consortium genome-wide association study (GWAS) with genetic association summary statistics from the arcOGEN consortium osteoarthritis GWAS. Significance was evaluated by permutation. Replication of osteoarthritis association of the highlighted signals was investigated in an independent dataset. Phenotypic information of height and BMI was accounted for in a Separate Analysis using osteoarthritis-free controls. Results We found significant overlap between
Katherine S Elliott - One of the best experts on this subject based on the ideXlab platform.
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evaluation of the genetic overlap between osteoarthritis with body mass index and height using genome wide association scan data
Annals of the Rheumatic Diseases, 2013Co-Authors: Katherine S Elliott, K Chapman, Aaron G Daywilliams, Kalliope Panoutsopoulou, Lorraine Southam, Cecilia M Lindgren, N K ArdenAbstract:Objectives Obesity as measured by body mass index (BMI) is one of the major risk factors for osteoarthritis. In addition, genetic overlap has been reported between osteoarthritis and normal adult height variation. We investigated whether this relationship is due to a shared genetic aetiology on a genome-wide scale. Methods We compared genetic association summary statistics (effect size, p value) for BMI and height from the GIANT consortium genome-wide association study (GWAS) with genetic association summary statistics from the arcOGEN consortium osteoarthritis GWAS. Significance was evaluated by permutation. Replication of osteoarthritis association of the highlighted signals was investigated in an independent dataset. Phenotypic information of height and BMI was accounted for in a Separate Analysis using osteoarthritis-free controls. Results We found significant overlap between
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evaluation of the genetic overlap between osteoarthritis with body mass index and height using genome wide association scan data
Annals of the Rheumatic Diseases, 2013Co-Authors: Katherine S Elliott, K Chapman, Aaron G Daywilliams, Kalliope Panoutsopoulou, Lorraine Southam, Cecilia M Lindgren, N K ArdenAbstract:Objectives Obesity as measured by body mass index (BMI) is one of the major risk factors for osteoarthritis. In addition, genetic overlap has been reported between osteoarthritis and normal adult height variation. We investigated whether this relationship is due to a shared genetic aetiology on a genome-wide scale. Methods We compared genetic association summary statistics (effect size, p value) for BMI and height from the GIANT consortium genome-wide association study (GWAS) with genetic association summary statistics from the arcOGEN consortium osteoarthritis GWAS. Significance was evaluated by permutation. Replication of osteoarthritis association of the highlighted signals was investigated in an independent dataset. Phenotypic information of height and BMI was accounted for in a Separate Analysis using osteoarthritis-free controls. Results We found significant overlap between
Kyungeun Lee - One of the best experts on this subject based on the ideXlab platform.
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ab0758 the relationships between bone mineral density and radiographic features of hand or knee osteoarthritis in older adults data from the dong gu study
Annals of the Rheumatic Diseases, 2016Co-Authors: Kyungeun Lee, Lihui Wen, Yirang Yim, J E Kim, J W Lee, Donhee Park, S S LeeAbstract:Objectives The relationship between osteoarthritis (OA) and osteoporosis has exhibited contradictory features over the past four decades. The aim of this study was to evaluate this relationship using Separate Analysis of the radiographic features of OA whether various radiographic features of OA were associated differently with bone mineral density (BMD) in the Korean elderly. Methods Data were derived from the Dong-gu cohort; 2,354 subjects were enrolled in the present cross-sectional study. Baseline characteristics, the BMDs of the lumbar spine and femoral neck which was measured by DXA, and X-rays of knees and hands, were collected. A semi-quantitative grading system was used to estimate the severities of individual radiographic features. We adjusted for confounders using multiple linear regression modeling to analyze the relationships. Results After adjustment for confounders, hand and knee OA total scores were negatively associated with the BMDs of the lumbar spine and femoral neck, except for the total knee OA score and lumbar spine BMD. In detail, hand osteophytes and sclerosis exhibited positive relationships with the BMDs of the lumbar spine and femoral neck, except for hand osteophytes and femoral neck BMD. On the contrary, however, knee joint space narrowing (JSN), hand JSN, and hand subchondral cysts were negatively associated with the BMD of the lumbar spine and femoral neck. Knee JSN and hand subchondral cysts exerted the greatest effects on BMD. Conclusions Separate Analysis of the radiographic features of OA better reveals associations of OA with the BMD of the lumbar spine and femoral neck. Disclosure of Interest None declared
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the relationships between bone mineral density and radiographic features of hand or knee osteoarthritis in older adults data from the dong gu study
Rheumatology, 2015Co-Authors: Lihui Wen, Minho Shin, Jihyoun Kang, Yirang Yim, Jieun Kim, Jeongwon Lee, Kyungeun Lee, Dongjin Park, Taejong Kim, Yongwook ParkAbstract:OBJECTIVE The relationship between OA and osteoporosis has exhibited contradictory features over the past four decades. The aim of this study was to determine using Separate Analysis of the radiographic features of OA whether various radiographic features of OA were associated differently with BMD in the Korean elderly. METHODS Data were derived from the Dong-gu cohort; 2354 subjects were enrolled in the present cross-sectional study. Baseline characteristics, the BMDs of the lumbar spine and femoral neck measured by DXA, and X-rays of knees and hands were collected. A semi-quantitative grading system was used to estimate the severities of individual radiographic features. We adjusted for confounders using multiple linear regression modelling to analyse the relationships. RESULTS After adjustment for confounders, hand and knee OA total scores were negatively associated with the BMDs of the lumbar spine and femoral neck, except for the total knee OA score and lumbar spine BMD. In detail, hand osteophytes and sclerosis exhibited positive relationships with the BMDs of the lumbar spine and femoral neck, except for hand osteophytes and femoral neck BMD. On the contrary, however, knee joint space narrowing (JSN), hand JSN, and hand subchondral cysts were negatively associated with the BMD of the lumbar spine and femoral neck. Knee JSN and hand subchondral cysts exerted the greatest effects on BMD. CONCLUSION Separate Analysis of the radiographic features of OA better reveals associations of OA with the BMD of the lumbar spine and femoral neck.
