LDL cholesterol still a problem in old age? A Mendelian randomization study

被引:42
作者
Postmus, Iris [1 ,2 ]
Deelen, Joris [2 ,3 ]
Sedaghat, Sanaz [4 ]
Trompet, Stella [1 ,2 ,5 ]
de Craen, Anton J. M. [1 ,2 ]
Heijmans, Bastiaan T. [3 ]
Franco, Oscar H. [4 ]
Hofman, Albert [4 ]
Dehghan, Abbas [4 ]
Slagboom, P. Eline [2 ,3 ]
Westendorp, Rudi G. J. [1 ,2 ,6 ,7 ]
Jukema, J. Wouter [5 ,8 ,9 ]
机构
[1] Leiden Univ, Dept Gerontol & Geriatr, Med Ctr, NL-2300 RC Leiden, Netherlands
[2] Netherlands Consortium Healthy Ageing, Leiden, Netherlands
[3] Leiden Univ, Dept Mol Epidemiol, Med Ctr, NL-2300 RC Leiden, Netherlands
[4] Erasmus Univ, Dept Epidemiol, Med Ctr, Rotterdam, Netherlands
[5] Leiden Univ, Dept Cardiol, Med Ctr, NL-2300 RC Leiden, Netherlands
[6] Leyden Acad Vital & Ageing, Leiden, Netherlands
[7] Univ Copenhagen, Dept Publ Hlth, Fac Hlth & Med Sci, Copenhagen, Denmark
[8] Durrer Ctr Cardiogenet Res, Amsterdam, Netherlands
[9] Interunivers Cardiol Inst Netherlands, Utrecht, Netherlands
关键词
LDL-cholesterol; old age; genetic risk score; Mendelian randomization; CORONARY-ARTERY-DISEASE; LEIDEN LONGEVITY; FAMILIAL LONGEVITY; LOWERING TREATMENT; RISK; MORTALITY; METAANALYSIS; ASSOCIATION; LOCI; PEOPLE;
D O I
10.1093/ije/dyv031
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Observational studies in older subjects have shown no or inverse associations between cholesterol levels and mortality. However, in old age plasma low-density lipoprotein cholesterol (LDL-C) may not reflect the lifetime level due to reverse causality, and hence the risk may be underestimated. In the current study, we used an LDL genetic risk score (GRS) to overcome this problem. Methods: A weighted GRS was created using 51 single nucleotide polymorphisms associated with LDL-C levels. The LDL GRS was calculated in three Dutch cohorts: the Leiden Longevity Study (LLS) (n = 3270), the Leiden 85-plus study (n = 316) and the Rotterdam Study (n = 4035). We assessed the association between the LDL GRS and LDL-C levels, chronological age, familial longevity and mortality. Results: Up to 90 years of age, in each age stratum individuals with high LDL GRS had higher LDL-C levels (P = 0.010 to P = 1.1 x 10(-16)). The frequency of LDL-increasing alleles decreased with increasing age [b = -0.021 (SE = 0.01) per year, P = 0.018]. Moreover, individuals with a genetic predisposition for longevity had significantly lower LDL GRS compared with age-matched individuals of the general population [LLS nonagenarians vs > 90 years: beta = 0.73 (SE = 0.33), P = 0.029, LLS offspring vs partners: beta = 0.66 (SE = 0.23), P = 0.005]. In longitudinal analysis, high GRS was associated with increased all-cause mortality in individuals > 90 years, with a 13% increased risk in individuals with the highest LDL GRS (P-trend = 0.043). Conclusion: Results of the current study indicate that a genetic predisposition to high LDL-C levels contributes to mortality throughout life, including in the oldest old, and a beneficial LDL genetic risk profile is associated with familial longevity.
引用
收藏
页码:604 / 612
页数:9
相关论文
共 32 条
[1]   Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins [J].
Baigent, C ;
Keech, A ;
Kearney, PM ;
Blackwell, L ;
Buck, G ;
Pollicino, C ;
Kirby, A ;
Sourjina, T ;
Peto, R ;
Collins, R ;
Simes, J .
LANCET, 2005, 366 (9493) :1267-1278
[2]   Unique lipoprotein phenotype and genotype associated with exceptional longevity [J].
Barzilai, N ;
Atzmon, G ;
Schechter, C ;
Schaefer, EJ ;
Cupples, AL ;
Lipton, R ;
Cheng, S ;
Shuldiner, AR .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2003, 290 (15) :2030-2040
[3]   Chromosome 4q25, microsomal transfer protein gene, and human longevity: Novel data and a meta-analysis of association studies [J].
Beekman, M ;
Blauw, GJ ;
Houwing-Duistermaat, JJ ;
Brandt, BW ;
Westendorp, RGJ ;
Slagboom, PE .
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 2006, 61 (04) :355-362
[4]   A high response is not essential to prevent selection bias: Results from the Leiden 85-plus study [J].
Bootsma-van der Wiel, A ;
van Exel, E ;
de Craen, AJM ;
Gussekloo, J ;
Lagaay, AM ;
Knook, DL ;
Westendorp, RGJ .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2002, 55 (11) :1119-1125
[5]  
Davignon J, 1988, Trans Am Clin Climatol Assoc, V99, P100
[6]   Insight in Genome-Wide Association of Metabolite Quantitative Traits by Exome Sequence Analyses [J].
Demirkan, Ayse ;
Henneman, Peter ;
Verhoeven, Aswin ;
Dharuri, Harish ;
Amin, Najaf ;
van Klinken, Jan Bert ;
Karssen, Lennart C. ;
de Vries, Boukje ;
Meissner, Axel ;
Goraler, Sibel ;
van den Maagdenberg, Arn M. J. M. ;
Deelder, Andre M. ;
't Hoen, Peter A. C. ;
van Duijn, Cornelia M. ;
van Dijk, Ko Willems .
PLOS GENETICS, 2015, 11 (01)
[7]  
Di Angelantonio E, 2009, JAMA-J AM MED ASSOC, V302, P1993, DOI 10.1001/jama.2009.1619
[8]   Common variants associated with plasma triglycerides and risk for coronary artery disease [J].
Do, Ron ;
Willer, Cristen J. ;
Schmidt, Ellen M. ;
Sengupta, Sebanti ;
Gao, Chi ;
Peloso, Gina M. ;
Gustafsson, Stefan ;
Kanoni, Stavroula ;
Ganna, Andrea ;
Chen, Jin ;
Buchkovich, Martin L. ;
Mora, Samia ;
Beckmann, Jacques S. ;
Bragg-Gresham, Jennifer L. ;
Chang, Hsing-Yi ;
Demirkan, Ayse ;
Den Hertog, Heleen M. ;
Donnelly, Louise A. ;
Ehret, Georg B. ;
Esko, Tonu ;
Feitosa, Mary F. ;
Ferreira, Teresa ;
Fischer, Krista ;
Fontanillas, Pierre ;
Fraser, Ross M. ;
Freitag, Daniel F. ;
Gurdasani, Deepti ;
Heikkila, Kauko ;
Hyppoenen, Elina ;
Isaacs, Aaron ;
Jackson, Anne U. ;
Johansson, Asa ;
Johnson, Toby ;
Kaakinen, Marika ;
Kettunen, Johannes ;
Kleber, Marcus E. ;
Li, Xiaohui ;
Luan, Jian'an ;
Lyytikainen, Leo-Pekka ;
Magnusson, Patrik K. E. ;
Mangino, Massimo ;
Mihailov, Evelin ;
Montasser, May E. ;
Mueller-Nurasyid, Martina ;
Nolte, Ilja M. ;
O'Connell, Jeffrey R. ;
Palmer, Cameron D. ;
Perola, Markus ;
Petersen, Ann-Kristin ;
Sanna, Serena .
NATURE GENETICS, 2013, 45 (11) :1345-+
[9]   Biomarker Profiling by Nuclear Magnetic Resonance Spectroscopy for the Prediction of All-Cause Mortality: An Observational Study of 17,345 Persons [J].
Fischer, Krista ;
Kettunen, Johannes ;
Wurtz, Peter ;
Haller, Toomas ;
Havulinna, Aki S. ;
Kangas, Antti J. ;
Soininen, Pasi ;
Esko, Tonu ;
Tammesoo, Mari-Liis ;
Maegi, Reedik ;
Smit, Steven ;
Palotie, Aarno ;
Ripatti, Samuli ;
Salomaa, Veikko ;
Ala-Korpela, Mika ;
Perola, Markus ;
Metspalu, Andres .
PLOS MEDICINE, 2014, 11 (02)
[10]   Lipoprotein particle profiles mark familial and sporadic human longevity [J].
Heijmans, Bastiaan T. ;
Beekman, Marian ;
Houwing-Duistermaat, Jeanine J. ;
Cobain, Mark R. ;
Powell, Jonathan ;
Blauw, Gerard Jan ;
van der Ouderaa, Frans ;
Westendorp, Rudi G. J. ;
Slagboom, P. Eline .
PLOS MEDICINE, 2006, 3 (12) :2317-2323