A genome-wide scan of serum lipid levels in the Old Order Amish

2004 ◽  
Vol 173 (1) ◽  
pp. 89-96 ◽  
Author(s):  
Toni I Pollin ◽  
Wen-Chi Hsueh ◽  
Nanette I Steinle ◽  
Soren Snitker ◽  
Alan R Shuldiner ◽  
...  
2008 ◽  
Vol 49 (10) ◽  
pp. 2169-2178 ◽  
Author(s):  
Karolina Åberg ◽  
Feng Dai ◽  
Guangyun Sun ◽  
Ember Keighley ◽  
Subba Rao Indugula ◽  
...  

2003 ◽  
Vol 88 (3) ◽  
pp. 1292-1296 ◽  
Author(s):  
Elsie M. Allen ◽  
Wen-Chi Hsueh ◽  
Mona M. Sabra ◽  
Toni I. Pollin ◽  
Paul W. Ladenson ◽  
...  

2020 ◽  
Author(s):  
Liu Miao ◽  
Yan Min ◽  
Chuan-Meng Zhu ◽  
Jian-Hong Chen ◽  
Bin Qi ◽  
...  

Abstract Background/Aims: While observational studies show an association between serum lipid levels and cardiovascular disease (CVD), intervention studies that examine the preventive effects of serum lipid levels on the development of CKD are lacking. Methods: To estimate the role of serum lipid levels in the etiology of CKD, we conducted a two-sample Mendelian randomization (MR) study on serum lipid levels. Single nucleotide polymorphisms (SNPs), which were significantly associated genome-wide with plasma serum lipid levels from the GLGC and CKDGen consortium genome-wide association study (GWAS), including total cholesterol (TC, n = 187365), triglyceride (TG, n = 177861), HDL cholesterol (HDL-C, n = 187167), LDL cholesterol (LDL-C, n = 173082), apolipoprotein A1 (ApoA1, n = 20687), apolipoprotein B (ApoB, n = 20690) and CKD (n = 117165), were used as instrumental variables. None of the lipid-related SNPs was associated with CKD (all P > 0.05). Results: MR analysis genetically predicted the causal effect between TC/HDL-C and CKD. The odds ratio (OR) and 95% confidence interval (CI) of TC within CKD was 0.756 (0.579 to 0.933) (P = 0.002), and HDL-C was 0.85 (0.687 to 1.012) (P = 0.049). No causal effects between TG, LDL-C- ApoA1, ApoB and CKD were observed. Sensitivity analyses confirmed that TC and HDL-C were significantly associated with CKD. Conclusions: The findings from this MR study indicate causal effects between TC, HDL-C and CKD. Decreased TC and elevated HDL-C may reduce the incidence of CKD but need to be further confirmed by using a genetic and environmental approach.


2002 ◽  
Vol 75 (6) ◽  
pp. 1098-1106 ◽  
Author(s):  
Nanette I Steinle ◽  
Wen-Chi Hsueh ◽  
Soren Snitker ◽  
Toni I Pollin ◽  
Hakan Sakul ◽  
...  

2020 ◽  
Author(s):  
Liu Miao ◽  
Yan Min ◽  
Chuan-Meng Zhu ◽  
Jian-Hong Chen ◽  
Bin Qi ◽  
...  

Abstract Background While observational studies show an association between serum lipid levels and cardiovascular disease (CVD), intervention studies that examine the preventive effects of serum lipid levels on the development of CKD are lacking. Methods To estimate the role of serum lipid levels in the etiology of CKD, we conducted a two-sample Mendelian randomization (MR) study on serum lipid levels. Single nucleotide polymorphisms (SNPs), which were significantly associated genome-wide with plasma serum lipid levels from the GLGC and CKDGen consortium genome-wide association study (GWAS), including total cholesterol (TC, n = 187365), triglyceride (TG, n = 177861), HDL cholesterol (HDL-C, n = 187167), LDL cholesterol (LDL-C, n = 173082), apolipoprotein A1 (ApoA1, n = 20687), apolipoprotein B (ApoB, n = 20690) and CKD (n = 117165), were used as instrumental variables. None of the lipid-related SNPs was associated with CKD (all P > 0.05). Results MR analysis genetically predicted the causal effect between TC/HDL-C and CKD. The odds ratio (OR) and 95% confidence interval (CI) of TC within CKD was 0.756 (0.579 to 0.933) (P = 0.002), and HDL-C was 0.85 (0.687 to 1.012) (P = 0.049). No causal effects between TG, LDL-C- ApoA1, ApoB and CKD were observed. Sensitivity analyses confirmed that TC and HDL-C were significantly associated with CKD. Conclusions The findings from this MR study indicate causal effects between TC, HDL-C and CKD. Decreased TC and elevated HDL-C may reduce the incidence of CKD but need to be further confirmed by using a genetic and environmental approach.


2020 ◽  
Vol 66 (2) ◽  
pp. 111-121
Author(s):  
Jenna C. Carlson ◽  
Daniel E. Weeks ◽  
Nicola L. Hawley ◽  
Guangyun Sun ◽  
Hong Cheng ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document