BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations

Abstract Background The association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations, both positive and negative results had been identif...
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Autor*in:	Zhifa Han [verfasserIn] Tao Wang [verfasserIn] Rui Tian [verfasserIn] Wenyang Zhou [verfasserIn] Pingping Wang [verfasserIn] Peng Ren [verfasserIn] Jian Zong [verfasserIn] Yang Hu [verfasserIn] Shuilin Jin [verfasserIn] Qinghua Jiang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Alzheimer’s disease Bridging integrator 1 (BIN1) Rs744373 polymorphism East Asian Caucasian

Übergeordnetes Werk:	In: BMC Bioinformatics - BMC, 2003, 20(2019), S25, Seite 12
Übergeordnetes Werk:	volume:20 ; year:2019 ; number:S25 ; pages:12

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s12859-019-3264-9

Katalog-ID:	DOAJ050709933

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520			\|a Abstract Background The association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations, both positive and negative results had been identified by association studies. Considering the smaller sample sizes of the studies in East Asian, we believe that the results did not have enough statistical power. Results We conducted a meta-analysis with 71,168 samples (22,395 AD cases and 48,773 controls, from 37 studies of 19 articles). Based on the additive model, we observed significant genetic heterogeneities in pooled populations as well as Caucasians and East Asians. We identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10− 07, odds ratio (OR) = 1.12, and 95% confidence interval (CI) 1.07–1.17) and in Caucasian populations (P = 3.38 × 10− 08, OR = 1.16, 95% CI 1.10–1.22). But in the East Asian populations, the association was not identified (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). Besides, the regression analysis suggested no significant publication bias. The results for sensitivity analysis as well as meta-analysis under the dominant model and recessive model remained consistent, which demonstrated the reliability of our finding. Conclusions The large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD risk in Caucasian populations but not in the East Asian populations.
650		4	\|a Alzheimer’s disease
650		4	\|a Bridging integrator 1 (BIN1)
650		4	\|a Rs744373 polymorphism
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700	0		\|a Shuilin Jin \|e verfasserin \|4 aut
700	0		\|a Qinghua Jiang \|e verfasserin \|4 aut
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allfields	10.1186/s12859-019-3264-9 doi (DE-627)DOAJ050709933 (DE-599)DOAJ8cc7abece2bd4456a58ff48cb89e9b09 DE-627 ger DE-627 rakwb eng R858-859.7 QH301-705.5 Zhifa Han verfasserin aut BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations, both positive and negative results had been identified by association studies. Considering the smaller sample sizes of the studies in East Asian, we believe that the results did not have enough statistical power. Results We conducted a meta-analysis with 71,168 samples (22,395 AD cases and 48,773 controls, from 37 studies of 19 articles). Based on the additive model, we observed significant genetic heterogeneities in pooled populations as well as Caucasians and East Asians. We identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10− 07, odds ratio (OR) = 1.12, and 95% confidence interval (CI) 1.07–1.17) and in Caucasian populations (P = 3.38 × 10− 08, OR = 1.16, 95% CI 1.10–1.22). But in the East Asian populations, the association was not identified (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). Besides, the regression analysis suggested no significant publication bias. The results for sensitivity analysis as well as meta-analysis under the dominant model and recessive model remained consistent, which demonstrated the reliability of our finding. Conclusions The large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD risk in Caucasian populations but not in the East Asian populations. Alzheimer’s disease Bridging integrator 1 (BIN1) Rs744373 polymorphism East Asian Caucasian Computer applications to medicine. Medical informatics Biology (General) Tao Wang verfasserin aut Rui Tian verfasserin aut Wenyang Zhou verfasserin aut Pingping Wang verfasserin aut Peng Ren verfasserin aut Jian Zong verfasserin aut Yang Hu verfasserin aut Shuilin Jin verfasserin aut Qinghua Jiang verfasserin aut In BMC Bioinformatics BMC, 2003 20(2019), S25, Seite 12 (DE-627)326644814 (DE-600)2041484-5 14712105 nnns volume:20 year:2019 number:S25 pages:12 https://doi.org/10.1186/s12859-019-3264-9 kostenfrei https://doaj.org/article/8cc7abece2bd4456a58ff48cb89e9b09 kostenfrei https://doi.org/10.1186/s12859-019-3264-9 kostenfrei https://doaj.org/toc/1471-2105 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2019 S25 12
spelling	10.1186/s12859-019-3264-9 doi (DE-627)DOAJ050709933 (DE-599)DOAJ8cc7abece2bd4456a58ff48cb89e9b09 DE-627 ger DE-627 rakwb eng R858-859.7 QH301-705.5 Zhifa Han verfasserin aut BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations, both positive and negative results had been identified by association studies. Considering the smaller sample sizes of the studies in East Asian, we believe that the results did not have enough statistical power. Results We conducted a meta-analysis with 71,168 samples (22,395 AD cases and 48,773 controls, from 37 studies of 19 articles). Based on the additive model, we observed significant genetic heterogeneities in pooled populations as well as Caucasians and East Asians. We identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10− 07, odds ratio (OR) = 1.12, and 95% confidence interval (CI) 1.07–1.17) and in Caucasian populations (P = 3.38 × 10− 08, OR = 1.16, 95% CI 1.10–1.22). But in the East Asian populations, the association was not identified (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). Besides, the regression analysis suggested no significant publication bias. The results for sensitivity analysis as well as meta-analysis under the dominant model and recessive model remained consistent, which demonstrated the reliability of our finding. Conclusions The large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD risk in Caucasian populations but not in the East Asian populations. Alzheimer’s disease Bridging integrator 1 (BIN1) Rs744373 polymorphism East Asian Caucasian Computer applications to medicine. Medical informatics Biology (General) Tao Wang verfasserin aut Rui Tian verfasserin aut Wenyang Zhou verfasserin aut Pingping Wang verfasserin aut Peng Ren verfasserin aut Jian Zong verfasserin aut Yang Hu verfasserin aut Shuilin Jin verfasserin aut Qinghua Jiang verfasserin aut In BMC Bioinformatics BMC, 2003 20(2019), S25, Seite 12 (DE-627)326644814 (DE-600)2041484-5 14712105 nnns volume:20 year:2019 number:S25 pages:12 https://doi.org/10.1186/s12859-019-3264-9 kostenfrei https://doaj.org/article/8cc7abece2bd4456a58ff48cb89e9b09 kostenfrei https://doi.org/10.1186/s12859-019-3264-9 kostenfrei https://doaj.org/toc/1471-2105 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2019 S25 12
allfields_unstemmed	10.1186/s12859-019-3264-9 doi (DE-627)DOAJ050709933 (DE-599)DOAJ8cc7abece2bd4456a58ff48cb89e9b09 DE-627 ger DE-627 rakwb eng R858-859.7 QH301-705.5 Zhifa Han verfasserin aut BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations, both positive and negative results had been identified by association studies. Considering the smaller sample sizes of the studies in East Asian, we believe that the results did not have enough statistical power. Results We conducted a meta-analysis with 71,168 samples (22,395 AD cases and 48,773 controls, from 37 studies of 19 articles). Based on the additive model, we observed significant genetic heterogeneities in pooled populations as well as Caucasians and East Asians. We identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10− 07, odds ratio (OR) = 1.12, and 95% confidence interval (CI) 1.07–1.17) and in Caucasian populations (P = 3.38 × 10− 08, OR = 1.16, 95% CI 1.10–1.22). But in the East Asian populations, the association was not identified (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). Besides, the regression analysis suggested no significant publication bias. The results for sensitivity analysis as well as meta-analysis under the dominant model and recessive model remained consistent, which demonstrated the reliability of our finding. Conclusions The large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD risk in Caucasian populations but not in the East Asian populations. Alzheimer’s disease Bridging integrator 1 (BIN1) Rs744373 polymorphism East Asian Caucasian Computer applications to medicine. Medical informatics Biology (General) Tao Wang verfasserin aut Rui Tian verfasserin aut Wenyang Zhou verfasserin aut Pingping Wang verfasserin aut Peng Ren verfasserin aut Jian Zong verfasserin aut Yang Hu verfasserin aut Shuilin Jin verfasserin aut Qinghua Jiang verfasserin aut In BMC Bioinformatics BMC, 2003 20(2019), S25, Seite 12 (DE-627)326644814 (DE-600)2041484-5 14712105 nnns volume:20 year:2019 number:S25 pages:12 https://doi.org/10.1186/s12859-019-3264-9 kostenfrei https://doaj.org/article/8cc7abece2bd4456a58ff48cb89e9b09 kostenfrei https://doi.org/10.1186/s12859-019-3264-9 kostenfrei https://doaj.org/toc/1471-2105 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2019 S25 12
allfieldsGer	10.1186/s12859-019-3264-9 doi (DE-627)DOAJ050709933 (DE-599)DOAJ8cc7abece2bd4456a58ff48cb89e9b09 DE-627 ger DE-627 rakwb eng R858-859.7 QH301-705.5 Zhifa Han verfasserin aut BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations, both positive and negative results had been identified by association studies. Considering the smaller sample sizes of the studies in East Asian, we believe that the results did not have enough statistical power. Results We conducted a meta-analysis with 71,168 samples (22,395 AD cases and 48,773 controls, from 37 studies of 19 articles). Based on the additive model, we observed significant genetic heterogeneities in pooled populations as well as Caucasians and East Asians. We identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10− 07, odds ratio (OR) = 1.12, and 95% confidence interval (CI) 1.07–1.17) and in Caucasian populations (P = 3.38 × 10− 08, OR = 1.16, 95% CI 1.10–1.22). But in the East Asian populations, the association was not identified (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). Besides, the regression analysis suggested no significant publication bias. The results for sensitivity analysis as well as meta-analysis under the dominant model and recessive model remained consistent, which demonstrated the reliability of our finding. Conclusions The large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD risk in Caucasian populations but not in the East Asian populations. Alzheimer’s disease Bridging integrator 1 (BIN1) Rs744373 polymorphism East Asian Caucasian Computer applications to medicine. Medical informatics Biology (General) Tao Wang verfasserin aut Rui Tian verfasserin aut Wenyang Zhou verfasserin aut Pingping Wang verfasserin aut Peng Ren verfasserin aut Jian Zong verfasserin aut Yang Hu verfasserin aut Shuilin Jin verfasserin aut Qinghua Jiang verfasserin aut In BMC Bioinformatics BMC, 2003 20(2019), S25, Seite 12 (DE-627)326644814 (DE-600)2041484-5 14712105 nnns volume:20 year:2019 number:S25 pages:12 https://doi.org/10.1186/s12859-019-3264-9 kostenfrei https://doaj.org/article/8cc7abece2bd4456a58ff48cb89e9b09 kostenfrei https://doi.org/10.1186/s12859-019-3264-9 kostenfrei https://doaj.org/toc/1471-2105 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2019 S25 12
allfieldsSound	10.1186/s12859-019-3264-9 doi (DE-627)DOAJ050709933 (DE-599)DOAJ8cc7abece2bd4456a58ff48cb89e9b09 DE-627 ger DE-627 rakwb eng R858-859.7 QH301-705.5 Zhifa Han verfasserin aut BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations, both positive and negative results had been identified by association studies. Considering the smaller sample sizes of the studies in East Asian, we believe that the results did not have enough statistical power. Results We conducted a meta-analysis with 71,168 samples (22,395 AD cases and 48,773 controls, from 37 studies of 19 articles). Based on the additive model, we observed significant genetic heterogeneities in pooled populations as well as Caucasians and East Asians. We identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10− 07, odds ratio (OR) = 1.12, and 95% confidence interval (CI) 1.07–1.17) and in Caucasian populations (P = 3.38 × 10− 08, OR = 1.16, 95% CI 1.10–1.22). But in the East Asian populations, the association was not identified (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). Besides, the regression analysis suggested no significant publication bias. The results for sensitivity analysis as well as meta-analysis under the dominant model and recessive model remained consistent, which demonstrated the reliability of our finding. Conclusions The large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD risk in Caucasian populations but not in the East Asian populations. Alzheimer’s disease Bridging integrator 1 (BIN1) Rs744373 polymorphism East Asian Caucasian Computer applications to medicine. Medical informatics Biology (General) Tao Wang verfasserin aut Rui Tian verfasserin aut Wenyang Zhou verfasserin aut Pingping Wang verfasserin aut Peng Ren verfasserin aut Jian Zong verfasserin aut Yang Hu verfasserin aut Shuilin Jin verfasserin aut Qinghua Jiang verfasserin aut In BMC Bioinformatics BMC, 2003 20(2019), S25, Seite 12 (DE-627)326644814 (DE-600)2041484-5 14712105 nnns volume:20 year:2019 number:S25 pages:12 https://doi.org/10.1186/s12859-019-3264-9 kostenfrei https://doaj.org/article/8cc7abece2bd4456a58ff48cb89e9b09 kostenfrei https://doi.org/10.1186/s12859-019-3264-9 kostenfrei https://doaj.org/toc/1471-2105 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2019 S25 12
language	English
source	In BMC Bioinformatics 20(2019), S25, Seite 12 volume:20 year:2019 number:S25 pages:12
sourceStr	In BMC Bioinformatics 20(2019), S25, Seite 12 volume:20 year:2019 number:S25 pages:12
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Alzheimer’s disease Bridging integrator 1 (BIN1) Rs744373 polymorphism East Asian Caucasian Computer applications to medicine. Medical informatics Biology (General)
isfreeaccess_bool	true
container_title	BMC Bioinformatics
authorswithroles_txt_mv	Zhifa Han @@aut@@ Tao Wang @@aut@@ Rui Tian @@aut@@ Wenyang Zhou @@aut@@ Pingping Wang @@aut@@ Peng Ren @@aut@@ Jian Zong @@aut@@ Yang Hu @@aut@@ Shuilin Jin @@aut@@ Qinghua Jiang @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	326644814
id	DOAJ050709933
language_de	englisch
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But in East Asian populations, both positive and negative results had been identified by association studies. Considering the smaller sample sizes of the studies in East Asian, we believe that the results did not have enough statistical power. Results We conducted a meta-analysis with 71,168 samples (22,395 AD cases and 48,773 controls, from 37 studies of 19 articles). Based on the additive model, we observed significant genetic heterogeneities in pooled populations as well as Caucasians and East Asians. We identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10− 07, odds ratio (OR) = 1.12, and 95% confidence interval (CI) 1.07–1.17) and in Caucasian populations (P = 3.38 × 10− 08, OR = 1.16, 95% CI 1.10–1.22). But in the East Asian populations, the association was not identified (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). Besides, the regression analysis suggested no significant publication bias. 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callnumber-first	R - Medicine
author	Zhifa Han
spellingShingle	Zhifa Han misc R858-859.7 misc QH301-705.5 misc Alzheimer’s disease misc Bridging integrator 1 (BIN1) misc Rs744373 polymorphism misc East Asian misc Caucasian misc Computer applications to medicine. Medical informatics misc Biology (General) BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations
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topic_title	R858-859.7 QH301-705.5 BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations Alzheimer’s disease Bridging integrator 1 (BIN1) Rs744373 polymorphism East Asian Caucasian
topic	misc R858-859.7 misc QH301-705.5 misc Alzheimer’s disease misc Bridging integrator 1 (BIN1) misc Rs744373 polymorphism misc East Asian misc Caucasian misc Computer applications to medicine. Medical informatics misc Biology (General)
topic_unstemmed	misc R858-859.7 misc QH301-705.5 misc Alzheimer’s disease misc Bridging integrator 1 (BIN1) misc Rs744373 polymorphism misc East Asian misc Caucasian misc Computer applications to medicine. Medical informatics misc Biology (General)
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title	BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations
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title_full	BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations
author_sort	Zhifa Han
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author_browse	Zhifa Han Tao Wang Rui Tian Wenyang Zhou Pingping Wang Peng Ren Jian Zong Yang Hu Shuilin Jin Qinghua Jiang
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title_sort	bin1 rs744373 variant shows different association with alzheimer’s disease in caucasian and asian populations
callnumber	R858-859.7
title_auth	BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations
abstract	Abstract Background The association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations, both positive and negative results had been identified by association studies. Considering the smaller sample sizes of the studies in East Asian, we believe that the results did not have enough statistical power. Results We conducted a meta-analysis with 71,168 samples (22,395 AD cases and 48,773 controls, from 37 studies of 19 articles). Based on the additive model, we observed significant genetic heterogeneities in pooled populations as well as Caucasians and East Asians. We identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10− 07, odds ratio (OR) = 1.12, and 95% confidence interval (CI) 1.07–1.17) and in Caucasian populations (P = 3.38 × 10− 08, OR = 1.16, 95% CI 1.10–1.22). But in the East Asian populations, the association was not identified (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). Besides, the regression analysis suggested no significant publication bias. The results for sensitivity analysis as well as meta-analysis under the dominant model and recessive model remained consistent, which demonstrated the reliability of our finding. Conclusions The large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD risk in Caucasian populations but not in the East Asian populations.
abstractGer	Abstract Background The association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations, both positive and negative results had been identified by association studies. Considering the smaller sample sizes of the studies in East Asian, we believe that the results did not have enough statistical power. Results We conducted a meta-analysis with 71,168 samples (22,395 AD cases and 48,773 controls, from 37 studies of 19 articles). Based on the additive model, we observed significant genetic heterogeneities in pooled populations as well as Caucasians and East Asians. We identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10− 07, odds ratio (OR) = 1.12, and 95% confidence interval (CI) 1.07–1.17) and in Caucasian populations (P = 3.38 × 10− 08, OR = 1.16, 95% CI 1.10–1.22). But in the East Asian populations, the association was not identified (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). Besides, the regression analysis suggested no significant publication bias. The results for sensitivity analysis as well as meta-analysis under the dominant model and recessive model remained consistent, which demonstrated the reliability of our finding. Conclusions The large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD risk in Caucasian populations but not in the East Asian populations.
abstract_unstemmed	Abstract Background The association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations, both positive and negative results had been identified by association studies. Considering the smaller sample sizes of the studies in East Asian, we believe that the results did not have enough statistical power. Results We conducted a meta-analysis with 71,168 samples (22,395 AD cases and 48,773 controls, from 37 studies of 19 articles). Based on the additive model, we observed significant genetic heterogeneities in pooled populations as well as Caucasians and East Asians. We identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10− 07, odds ratio (OR) = 1.12, and 95% confidence interval (CI) 1.07–1.17) and in Caucasian populations (P = 3.38 × 10− 08, OR = 1.16, 95% CI 1.10–1.22). But in the East Asian populations, the association was not identified (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). Besides, the regression analysis suggested no significant publication bias. The results for sensitivity analysis as well as meta-analysis under the dominant model and recessive model remained consistent, which demonstrated the reliability of our finding. Conclusions The large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD risk in Caucasian populations but not in the East Asian populations.
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title_short	BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations
url	https://doi.org/10.1186/s12859-019-3264-9 https://doaj.org/article/8cc7abece2bd4456a58ff48cb89e9b09 https://doaj.org/toc/1471-2105
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up_date	2024-07-03T16:20:16.531Z
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BIN1 rs744373 variant shows different association with Alzheimer’s disease in Caucasian and Asian populations

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