Integrated Genetics and Micronutrient Data to Inform the Causal Association Between Serum Calcium Levels and Ischemic Stroke.
Integrated Genetics and Micronutrient Data to Inform the Causal Association Between Serum Calcium Levels and Ischemic Stroke.
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整合遗传学和微量营养素数据,以了解血清钙水平与缺血性中风之间的因果关系。
DOI:
10.3389/fcell.2020.590903
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发表时间:
2020
影响因子:
5.5
通讯作者:
Cai Q
中科院分区:
文献类型:
--
作者:
Meng Q;Huang L;Tao K;Liu Y;Jing J;Wang W;Qin H;Feng D;Cai Q
There has been an increased interest for observational studies or randomized controlled trials exploring the impact of calcium intake on cardiovascular diseases (CVD) including coronary artery disease (CAD) and ischemic stroke (IS). However, a direct relationship between total calcium intake and CVD has not been well established and remains controversial. Mendelian randomization (MR) studies have been performed to evaluate the causal association between serum calcium levels and CAD risk and found that increased serum calcium levels could increase the risk of CAD. However, MR analysis found no significant association between genetically higher serum calcium levels and IS as well as its subtypes. Hence, three MR studies reported inconsistent effects of serum calcium levels on CAD and IS. Here, we performed an updated MR study to investigate the association of serum calcium levels with the risk of IS using large-scale genome-wide association study (GWAS) datasets. We selected 14 independent genetic variants as the potential instrumental variables from a large-scale serum calcium GWAS dataset and extracted summary statistics corresponding to the 14 serum calcium genetic variants from the MEGASTROKE Consortium IS GWAS dataset. Interestingly, we found a significant association between serum calcium levels and IS risk using the robust inverse-variance weighted (IVW) and penalized robust IVW methods, with β = 0.243 and P = 0.002. Importantly, the MR results from the robust MR-Egger and penalized robust MR-Egger methods further supported the causal association between serum calcium levels and IS risk, with β = 0.256 and P = 0.005. Meanwhile, the estimates from other MR methods are also consistent with the above findings.
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影响因子:
5.4
作者:
Anderson JJ;Kruszka B;Delaney JA;He K;Burke GL;Alonso A;Bild DE;Budoff M;Michos ED
通讯作者:
Michos ED
DOI:
10.1001/jama.2016.21042
发表时间:
2017-02-14
期刊:
JAMA
影响因子:
--
作者:
Emdin CA;Khera AV;Natarajan P;Klarin D;Zekavat SM;Hsiao AJ;Kathiresan S
通讯作者:
Kathiresan S
影响因子:
30.8
作者:
Malik R;Chauhan G;Traylor M;Sargurupremraj M;Okada Y;Mishra A;Rutten-Jacobs L;Giese AK;van der Laan SW;Gretarsdottir S;Anderson CD;Chong M;Adams HHH;Ago T;Almgren P;Amouyel P;Ay H;Bartz TM;Benavente OR;Bevan S;Boncoraglio GB;Brown RD Jr;Butterworth AS;Carrera C;Carty CL;Chasman DI;Chen WM;Cole JW;Correa A;Cotlarciuc I;Cruchaga C;Danesh J;de Bakker PIW;DeStefano AL;den Hoed M;Duan Q;Engelter ST;Falcone GJ;Gottesman RF;Grewal RP;Gudnason V;Gustafsson S;Haessler J;Harris TB;Hassan A;Havulinna AS;Heckbert SR;Holliday EG;Howard G;Hsu FC;Hyacinth HI;Ikram MA;Ingelsson E;Irvin MR;Jian X;Jiménez-Conde J;Johnson JA;Jukema JW;Kanai M;Keene KL;Kissela BM;Kleindorfer DO;Kooperberg C;Kubo M;Lange LA;Langefeld CD;Langenberg C;Launer LJ;Lee JM;Lemmens R;Leys D;Lewis CM;Lin WY;Lindgren AG;Lorentzen E;Magnusson PK;Maguire J;Manichaikul A;McArdle PF;Meschia JF;Mitchell BD;Mosley TH;Nalls MA;Ninomiya T;O'Donnell MJ;Psaty BM;Pulit SL;Rannikmäe K;Reiner AP;Rexrode KM;Rice K;Rich SS;Ridker PM;Rost NS;Rothwell PM;Rotter JI;Rundek T;Sacco RL;Sakaue S;Sale MM;Salomaa V;Sapkota BR;Schmidt R;Schmidt CO;Schminke U;Sharma P;Slowik A;Sudlow CLM;Tanislav C;Tatlisumak T;Taylor KD;Thijs VNS;Thorleifsson G;Thorsteinsdottir U;Tiedt S;Trompet S;Tzourio C;van Duijn CM;Walters M;Wareham NJ;Wassertheil-Smoller S;Wilson JG;Wiggins KL;Yang Q;Yusuf S;AFGen Consortium;Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium;International Genomics of Blood Pressure (iGEN-BP) Consortium;INVENT Consortium;STARNET;Bis JC;Pastinen T;Ruusalepp A;Schadt EE;Koplev S;Björkegren JLM;Codoni V;Civelek M;Smith NL;Trégouët DA;Christophersen IE;Roselli C;Lubitz SA;Ellinor PT;Tai ES;Kooner JS;Kato N;He J;van der Harst P;Elliott P;Chambers JC;Takeuchi F;Johnson AD;BioBank Japan Cooperative Hospital Group;COMPASS Consortium;EPIC-CVD Consortium;EPIC-InterAct Consortium;International Stroke Genetics Consortium (ISGC);METASTROKE Consortium;Neurology Working Group of the CHARGE Consortium;NINDS Stroke Genetics Network (SiGN);UK Young Lacunar DNA Study;MEGASTROKE Consortium;Sanghera DK;Melander O;Jern C;Strbian D;Fernandez-Cadenas I;Longstreth WT Jr;Rolfs A;Hata J;Woo D;Rosand J;Pare G;Hopewell JC;Saleheen D;Stefansson K;Worrall BB;Kittner SJ;Seshadri S;Fornage M;Markus HS;Howson JMM;Kamatani Y;Debette S;Dichgans M
通讯作者:
Dichgans M
影响因子:
3.7
作者:
Cheng, Liang;Zhuang, He;Zhang, Jun
通讯作者:
Zhang, Jun
影响因子:
7.7
作者:
Brion, Marie-Jo A.;Shakhbazov, Konstantin;Visscher, Peter M.
通讯作者:
Visscher, Peter M.