Abstract
Objective: This study aimed to examine whether body mass index (BMI) is causally associated with rheumatoid arthritis (RA). Method: A two-sample Mendelian randomization (MR) analysis using the inverse-variance weighted (IVW), weighted median and MR-Egger regression methods was performed. We used the publicly available summary statistics data sets of genome-wide association studies (GWAS) meta-analyses for BMI in individuals of European descent (n = 322 154; GIANT consortium) as the exposure and a GWAS for noncancer illness code self-reported: RA from the individuals included in the UK Biobank (total n = 337 159; case = 7480, control = 329 679) as the outcome. Results: We selected 68 single nucleotide polymorphisms at genome-wide significance from GWASs on BMI as the instrumental variables. The IVW method showed evidence to support a causal association between BMI and RA (beta = 0.003, SE = 0.001, P = 0.033). MR-Egger regression revealed that directional pleiotropy was unlikely to be biasing the result (intercept = −3.54E-05; P = 0.736), but it showed no causal association between BMI and RA (beta = 0.004, SE = 0.004, P = 0.302). However, the weighted median approach yielded evidence of a causal association between BMI and RA (beta = 0.006, SE = 0.002, P = 0.004). Cochran's Q test and the funnel plot indicated no evidence of heterogeneity and asymmetry, indicating no directional pleiotropy. Conclusion: The results of MR analysis support that BMI may be causally associated with an increased risk of RA.
| Original language | English |
|---|---|
| Article number | e13076 |
| Journal | European Journal of Clinical Investigation |
| DOIs | |
| Publication status | Published - 2019 Jan 1 |
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Keywords
- BMI
- mendelian randomization
- rheumatoid arthritis
ASJC Scopus subject areas
- Biochemistry
- Clinical Biochemistry
Cite this
Causal association between body mass index and risk of rheumatoid arthritis : A Mendelian randomization study. / Bae, Sang Cheol; Lee, Young Ho.
In: European Journal of Clinical Investigation, 01.01.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Causal association between body mass index and risk of rheumatoid arthritis
T2 - A Mendelian randomization study
AU - Bae, Sang Cheol
AU - Lee, Young Ho
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Objective: This study aimed to examine whether body mass index (BMI) is causally associated with rheumatoid arthritis (RA). Method: A two-sample Mendelian randomization (MR) analysis using the inverse-variance weighted (IVW), weighted median and MR-Egger regression methods was performed. We used the publicly available summary statistics data sets of genome-wide association studies (GWAS) meta-analyses for BMI in individuals of European descent (n = 322 154; GIANT consortium) as the exposure and a GWAS for noncancer illness code self-reported: RA from the individuals included in the UK Biobank (total n = 337 159; case = 7480, control = 329 679) as the outcome. Results: We selected 68 single nucleotide polymorphisms at genome-wide significance from GWASs on BMI as the instrumental variables. The IVW method showed evidence to support a causal association between BMI and RA (beta = 0.003, SE = 0.001, P = 0.033). MR-Egger regression revealed that directional pleiotropy was unlikely to be biasing the result (intercept = −3.54E-05; P = 0.736), but it showed no causal association between BMI and RA (beta = 0.004, SE = 0.004, P = 0.302). However, the weighted median approach yielded evidence of a causal association between BMI and RA (beta = 0.006, SE = 0.002, P = 0.004). Cochran's Q test and the funnel plot indicated no evidence of heterogeneity and asymmetry, indicating no directional pleiotropy. Conclusion: The results of MR analysis support that BMI may be causally associated with an increased risk of RA.
AB - Objective: This study aimed to examine whether body mass index (BMI) is causally associated with rheumatoid arthritis (RA). Method: A two-sample Mendelian randomization (MR) analysis using the inverse-variance weighted (IVW), weighted median and MR-Egger regression methods was performed. We used the publicly available summary statistics data sets of genome-wide association studies (GWAS) meta-analyses for BMI in individuals of European descent (n = 322 154; GIANT consortium) as the exposure and a GWAS for noncancer illness code self-reported: RA from the individuals included in the UK Biobank (total n = 337 159; case = 7480, control = 329 679) as the outcome. Results: We selected 68 single nucleotide polymorphisms at genome-wide significance from GWASs on BMI as the instrumental variables. The IVW method showed evidence to support a causal association between BMI and RA (beta = 0.003, SE = 0.001, P = 0.033). MR-Egger regression revealed that directional pleiotropy was unlikely to be biasing the result (intercept = −3.54E-05; P = 0.736), but it showed no causal association between BMI and RA (beta = 0.004, SE = 0.004, P = 0.302). However, the weighted median approach yielded evidence of a causal association between BMI and RA (beta = 0.006, SE = 0.002, P = 0.004). Cochran's Q test and the funnel plot indicated no evidence of heterogeneity and asymmetry, indicating no directional pleiotropy. Conclusion: The results of MR analysis support that BMI may be causally associated with an increased risk of RA.
KW - BMI
KW - mendelian randomization
KW - rheumatoid arthritis
UR - http://www.scopus.com/inward/record.url?scp=85061942500&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061942500&partnerID=8YFLogxK
U2 - 10.1111/eci.13076
DO - 10.1111/eci.13076
M3 - Article
C2 - 30710354
AN - SCOPUS:85061942500
JO - European Journal of Clinical Investigation
JF - European Journal of Clinical Investigation
SN - 0014-2972
M1 - e13076
ER -