北京大学学报(医学版) ›› 2022, Vol. 54 ›› Issue (3): 412-420. doi: 10.19723/j.issn.1671-167X.2022.03.004

• 论著 • 上一篇    下一篇

缺血性脑卒中全基因组关联研究提示阳性基因位点与睡眠行为的交互作用

杨若彤,王梦莹,李春男,于欢,王小文,吴俊慧,王斯悦,王伽婷,陈大方,吴涛,胡永华*()   

  1. 北京大学公共卫生学院流行病与卫生统计学系,北京 100191
  • 收稿日期:2022-02-27 出版日期:2022-06-18 发布日期:2022-06-14
  • 通讯作者: 胡永华 E-mail:yhhu@bjmu.edu.cn
  • 基金资助:
    国家自然科学基金(81230066);国家自然科学基金(81473043);国家自然科学基金(81703291);国家自然科学基金(81872695)

Interaction between ischemic stroke risk loci identified by genome-wide association studies and sleep habits

Ruo-tong YANG,Meng-ying WANG,Chun-nan LI,Huan YU,Xiao-wen WANG,Jun-hui WU,Si-yue WANG,Jia-ting WANG,Da-fang CHEN,Tao WU,Yong-hua HU*()   

  1. Department of epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
  • Received:2022-02-27 Online:2022-06-18 Published:2022-06-14
  • Contact: Yong-hua HU E-mail:yhhu@bjmu.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(81230066);the National Natural Science Foundation of China(81473043);the National Natural Science Foundation of China(81703291);the National Natural Science Foundation of China(81872695)

摘要:

目的: 探讨睡眠行为(睡眠时长、睡眠效率、入睡时间)和全基因组关联研究(genome-wide association studies, GWAS)提示阳性缺血性脑卒中(ischemic stroke, IS)基因位点与IS风险的关联,以及睡眠-基因交互作用与IS风险的关联。方法: 基于北京市房山家系队列,在基线对所有研究对象进行问卷调查、体格检查、血生化检测和基因型检测。采用多因素广义线性模型分析睡眠、基因与IS的关联。结果: 共纳入研究对象4 648人,平均年龄(58.5±8.7)岁,其中IS患者有1 316人。相比于非患者,IS患者睡眠时长≥9 h、睡眠效率 < 80%及入睡时间早于22:00占比更高(P均 < 0.05)。多因素广义线性模型下,未见睡眠时长与IS风险的线性关联(OR=1.04,95%CI:0.99~1.10,P=0.085)。睡眠效率与IS风险呈线性负相关(OR=0.18,95%CI:0.06~0.53,P=0.002);相比于睡眠效率≥80%,睡眠效率 < 80%的IS风险为其1.47倍(95%CI:1.03~2.10,P=0.033)。相较于在22:00—22:59入睡,入睡时间早于22:00的IS风险是其1.26倍(95%CI:1.04~1.52,P=0.017)。多因素模型发现ABO基因上rs579459位点与入睡时间存在交互作用(P交互=0.040),rs579459致病等位基因T个数为2时,相比于入睡时间22:00—22:59,早于22:00入睡者IS风险显著升高,为其1.56倍(95%CI:1.20~2.04,P=0.001),而致病等位基因个数为0或1时无显著关联。仅调整性别、年龄、家系的模型中,睡眠时长与PITX2基因上rs2634074致病等位基因T的个数对IS存在交互作用(P交互=0.033)。结论: 睡眠效率降低与IS风险增高有关,入睡时间早于22:00与较高的IS风险相关。入睡时间与ABO基因上rs579459和IS风险存在交互作用;睡眠时长与PITX2基因上rs2634074和IS风险可能存在潜在的交互作用。

关键词: 基因位点, 睡眠, 缺血性脑卒中, 交互作用

Abstract:

Objective: To explore the relationship between sleep habits (sleep duration, sleep efficiency, sleep onset timing) and ischemic stroke, and whether there is an interaction between sleep habits and ischemic stroke susceptibility gene loci. Methods: A questionnaire survey, physical examination, blood biochemical testing and genotyping were conducted among rural residents in Beijing, and the gene loci of ischemic stroke suggested by previous genome-wide association studies (GWAS) were screened. Multivariable generalized linear model was used to analyze the correlation between sleep habits, sleep-gene interaction and ischemic stroke. Results: A total of 4 648 subjects with an average age of (58.5±8.7) years were enrolled, including 1 316 patients with ischemic stroke. Compared with non-stroke patients, stroke patients with sleep duration ≥9 hours, sleep efficiency < 80%, and sleep onset timing earlier than 22:00 accounted for a higher proportion (P < 0.05). There was no significant association between sleep duration and risk of ischemic stroke (OR=1.04, 95%CI: 0.99-1.10, P=0.085). Sleep efficiency was inversely associated with the risk of ischemic stroke (OR=0.18, 95%CI: 0.06-0.53, P=0.002). The risk of ischemic stroke in the subjects with sleep efficiency < 80% was 1.47-fold (95%CI: 1.03-2.10, P=0.033) of that in the subjects with sleep efficiency ≥80%. Falling asleep earlier than 22:00 was associated with 1.26 times greater risk of stroke than falling asleep between 22:00 and 22:59 (95%CI: 1.04-1.52, P=0.017). Multifactorial adjustment model showed that rs579459 on ABO gene had an interaction with sleep time (P for interaction =0.040). When there were two T alleles for rs579459 on the ABO gene, those who fell asleep before 22:00 had 1.56 times (95%CI: 1.20-2.04, P=0.001) the risk of stroke compared with those who fell asleep between 22:00 and 22:59, and there was no significant difference when the number of pathogenic alleles was 0 or 1. In the model adjusted only for gender, age and family structure, sleep duration and the number of T allele rs2634074 on PITX2 gene had an interaction with ischemic stroke (P for interaction=0.033). Conclusion: Decreased sleep efficiency is associated with increased risk of ischemic stroke, and falling asleep earlier than 22:00 is associated with higher risk of ischemic stroke. Sleep onset timing interacted with rs579459 in ABO gene and the risk of ischemic stroke. Sleep duration and PITX2 rs2634074 may have a potential interaction with ischemic stroke risk.

Key words: Gene loci, Sleep, Ischemic stroke, Interaction

中图分类号: 

  • R181

表1

研究对象基本特征"

Items Total
(n= 4 648)
Participants without IS
(n= 3 332)
Participants with IS
(n= 1 316)
P
Age/years, $\bar x \pm s$ 58.5±8.7 57.5±8.7 60.8±8.3 < 0.001
Male, n (%) 2 112 (45.4) 1 384 (41.5) 728 (55.3) < 0.001
Married, n (%) 4 060 (87.4) 2 934 (88.0) 1 126 (85.6) < 0.001
Junior high school education or above, n (%) 2 574 (55.4) 1 962 (58.9) 612 (46.5) < 0.001
Annual household income /10 000 yuan, $\bar x \pm s$ 3.0±4.4 3.2±4.5 2.5±4.2 < 0.001
Smoker, n (%) 1 303 (28.0) 910 (27.3) 393 (29.9) < 0.001
Drinker, n (%) 1 307 (28.1) 971 (29.1) 336 (25.5) < 0.001
Adequate exercise, n (%) 892 (19.2) 673 (20.2) 219 (16.6) 0.006
Vegetables≥300 g/d and fruits≥200 g/d, n (%) 2 988 (64.3) 2 149 (64.5) 839 (63.8) 0.634
BMI/(kg/m2), $\bar x \pm s$ 26.2±3.5 26.1±3.6 26.3±3.4 0.126
Total cholesterol/(mmol/L), $\bar x \pm s$ 3.0±1.1 3.1±1.1 2.9±1.1 0.001
Hypertension, n (%) 3 328 (71.6) 2 182 (65.5) 1 146 (87.1) < 0.001
Diabetes, n (%) 2 449 (52.7) 1 826 (54.8) 623 (47.4) < 0.001
Coronary heart disease, n (%) 1 034 (22.3) 668 (20.1) 366 (27.8) < 0.001
Family medical history, n (%)
  IS 2 887 (62.1) 1 769 (53.1) 1 118 (85.0) < 0.001
  Diabetes 3 696 (79.5) 2 838 (85.2) 858 (65.2) < 0.001
  Coronary heart disease 2 299 (49.5) 1 743 (52.3) 556 (42.3) < 0.001
Sleep duration/h, n (%) < 0.001
   < 7 1 031 (22.2) 758 (22.8) 273 (20.7)
  7.0-8.9 2 393 (51.5) 1 768 (53.1) 625 (47.5)
  ≥9 1 224 (26.3) 806 (24.2) 418 (31.8)
Sleep efficiency/%, n (%) 0.015
  ≥80 4 378 (94.2) 3 156 (94.7) 1 222 (92.9)
   < 80 270 (5.8) 176 (5.3) 94 (7.1)
Sleep onset timing, n (%) < 0.001
   < 22:00 1 111 (23.9) 688 (20.7) 423 (32.1)
  22:00-22:59 1 844 (39.7) 1 354 (40.6) 490 (37.2)
  23:00-23:59 1 058 (22.8) 822 (24.7) 236 (17.9)
  ≥24:00 635 (13.7) 468 (14.1) 167 (12.7)

表2

睡眠行为及其分组与缺血性脑卒中的关联"

Sleep behaviors Model 1 Model 2
OR (95%CI) P OR (95%CI) P
Sleep duration/h 1.04 (0.99, 1.08) 0.115 1.04 (0.99, 1.10) 0.085
   < 7 1.04 (0.90, 1.29) 0.407 1.01 (0.83, 1.24) 0.895
  7.0-8.9 1.00 1.00
  ≥9 1.22 (1.04, 1.43) 0.016 1.17 (0.98, 1.40) 0.081
Sleep efficiency/% 0.10 (0.04, 0.26) < 0.001 0.18 (0.06, 0.53) 0.002
  ≥80 1.00 1.00
   < 80 1.71 (1.25, 2.34) 0.001 1.47 (1.03, 2.10) 0.033
Sleep onset timing
   < 22:00 1.44 (1.22, 1.71) < 0.001 1.26 (1.04, 1.52) 0.017
  22:00-22:59 1.00 1.00
  23:00-23:59 0.86 (0.72, 1.04) 0.118 0.93 (0.76, 1.15) 0.517
  ≥24:00 0.86 (0.67, 1.10) 0.223 0.86 (0.66, 1.13) 0.291

表3

GWAS提示阳性基因位点信息及其与缺血性脑卒中的关联"

Chromosome rsID Gene n MAF Risk allele OR (95%CI) P P
1 rs225132 ERRFI1 4 448 0.34 T 1.09 (0.99, 1.21) 0.083 1.000
1 rs10489177 C1orf156 4 421 0.32 G 1.27 (1.15, 1.41) < 0.001* < 0.001*
2 rs780094 GCKR 3 440 0.47 G 1.03 (0.92, 1.14) 0.629 1.000
2 rs2292832 miR-149 3 394 0.32 T 1.04 (0.93, 1.17) 0.462 1.000
3 rs16851055 SPSB4 4 380 0.20 G 1.16 (1.03, 1.31) 0.015* 0.405
4 rs2200733 PITX2 3 345 0.48 T 1.03 (0.93, 1.15) 0.534 1.000
4 rs2634074 PITX2 4 199 0.40 T 1.23 (1.12, 1.36) < 0.001* < 0.001*
5 rs1428155 GLRA1 3 405 0.32 C 1.03 (0.92, 1.15) 0.597 1.000
5 rs2910164 miR-146a 4 402 0.47 G 0.97 (0.88, 1.07) 0.557 1.000
6 rs556621 HCG27 3 377 0.50 A 1.07 (0.97, 1.19) 0.178 1.000
7 rs662 PON1 3 400 0.37 A 1.12 (1.00, 1.25) 0.042* 1.000
7 rs3735590 PON1 3 444 0.14 C 1.11 (0.96, 1.30) 0.169 1.000
9 rs579459 ABO 4 418 0.34 T 1.29 (1.17, 1.42) < 0.001* < 0.001*
9 rs2383207 CDKN2B-AS1 3 438 0.33 A 1.03 (0.92, 1.15) 0.590 1.000
9 rs505922 ABO 4 419 0.48 C 0.96 (0.88, 1.06) 0.446 1.000
10 rs11196288 HABP2 4 391 0.36 G 1.03 (0.93, 1.14) 0.593 1.000
11 rs660599 MMP-12 3 438 0.12 T 0.95 (0.81, 1.11) 0.518 1.000
12 rs12425791 NINJ2 4 409 0.25 A 0.99 (0.89, 1.11) 0.868 1.000
12 rs11614913 MIR-196A2 4 328 0.50 C 0.98 (0.89, 1.08) 0.702 1.000
12 rs10849373 NINJ2 4 423 0.14 G 1.51 (1.28, 1.79) < 0.001* < 0.001*
12 rs11833579 NINJ2 4 378 0.34 A 1.06 (0.95, 1.17) 0.301 1.000
14 rs1952706 PTCSC3 3 867 0.49 C 0.97 (0.87, 1.07) 0.496 1.000
14 rs2787417 PTCSC3 4 362 0.49 T 0.95 (0.86, 1.04) 0.280 1.000
14 rs934075 PTCSC3 4 415 0.49 G 0.97 (0.88, 1.06) 0.481 1.000
16 rs12445022 JPH3 4 441 0.10 A 1.06 (0.91, 1.23) 0.457 1.000
16 rs879324 ZFHX3 3 433 0.34 T 1.08 (0.97, 1.20) 0.177 1.000
16 rs7193343 ZFHX3 4 428 0.41 T 1.14 (1.03, 1.26) 0.008* 0.216

表4

睡眠行为与ABO基因上rs579459交互作用与缺血性脑卒中的关联"

rs579459 number of pathogenic alleles Model 1 Model 2
0(n=784) 1(n=435) 2(n=201) Pint 0(n=784) 1(n=1435) 2(n=2201) Pint
Sleep duration/ h 1.11 (0.97, 1.27) 1.04 (0.96, 1.12) 1.02(0.96, 1.08) 0.889 1.15(0.99, 1.34) 1.03(0.94, 1.13) 1.03 (0.96, 1.11) 0.668
   < 7 0.82 (0.47, 1.37) 1.12 (0.81, 1.55) 1.15(0.89, 1. 48) 0.65 (0.35, 1.18) 1.07(0.74, 1.53) 1.14(0.86, 1.51)
  7.0 ~8.9 1.00 1.00 1.00 1.00 1.00 1.00
  ≥9 1.72 (1.08, 2.72) 1.29 (0.96, 1.72) 1.06(0.84, 1.33) 1.97 (1.15, 3.39) 1.15(0.83, 1.61)) 1.10 (0.85, 1.42)
Sleep efficiency/% 0.57 (0.07, 5.72) 0.04 (0.01, 0.23) 0.06 (0.01, 0.26) 0.576 0.87(0.07, 13.53) 0.06(0.01, 0.38) 0.16 (0.03, 0.86) 0.661
  ≥80 1.00 1.00 1.00 1.00 1.00 1.00
   < 80 0.70(0.26, 1.74) 2.32 (1.35, 4.02) 1.55(0.97, 2.46) 0.62(0.21, 1.74) 1.85 (1.00, 3.43) 1.27 (0.75, 2.15)
Sleep onset timing
   < 22:00 0.78 (0.47, 1.28) 1.21(0.89, 1.66) 1.83 (1.44, 2.32) 0.007 0.65 (0.35, 1.17) 1.02 (0.72, 1.45) 1.56(1.20, 2.04)0.040 0.040
  22:00 -22:59 1.00 1.00 1.00 1.00 1.00 1.00
  23:00 -23:59 0.84 (0.50, 1.40) 0.91 (0.65, 1.27) 0.85 (0.65, 1.10) 0.782 0.70 (0.38, 1.25) 1.00 (0.69, 1.44) 0.97 (0.72, 1.29) 0.310
  ≥24:00 1.63 (0.83, 3.10) 0.72 (0.45, 1.11) 0.84 (0.59, 1.19) 0.719 1.45 (0.67, 3.07) 0.72 (0.44, 1.17) 0.88 (0.59, 1.29) 0.954

表5

睡眠行为与PITX2基因上rs2634074交互作用与缺血性脑卒中的关联"

rs2634074 number of pathogenic alleles Model 1 Model 2
0(n=935) 1(n=1469) 2(n=1795) Pint 0(n=935) 1(n=1469) 2(n=1795) Pint
Sleep duration /h 1.14 (1.02, 1.28) 1.08 (0.99, 1.17) 0.97 (0.90, 1.03) 0.033 1.15 (1.02, 1.31) 1.09 (0.99, 1.20) 0.97 (0.90, 1.05) 0.060
   < 7 0.74 (0.45, 1.20) 1.01 (0.72, 1.42) 1.18 (0.90, 1.55) 0.73 (0.43, 1.24) 0.94 (0.64, 1.37) 1.11 (0.82, 1.50)
  7.0 -8.9 1.00 1.00 1.00 1.00 1.00 1.00
  ≥9 1.66 (1.12, 2.45) 1.19 (0.89, 1.60) 1.01 (0.79, 1.30) 1.71 (1.10, 2.65) 1.18 (0.85, 1.64) 1.00 (0.75, 1.33)
Sleep efficiency /% 0.08 (0.01, 0.73) 0.24 (0.05, 1.27) 0.04 (0.01, 0.24) 0.532 0.14 (0.01, 1.58) 0.61 (0.09, 4.49) 0.03 (0.00, 0.23) 0.230
  ≥80 1.00 1.00 1.00 1.00 1.00 1.00
   < 80 1.62 (0.71, 3.62) 1.58 (0.90, 2.74) 1.76 (1.04, 2.96) 1.35 (0.54, 3.32) 1.22 (0.64, 2.29) 1.84 (1.02, 3.33)
Sleep onsettiming
   < 22:00 1.00 (0.65, 1.54) 1.58 (1.16, 2.17) 1.52 (1.17, 1.98) 0.606 0.80 (0.49, 1.29) 1.22 (0.85, 1.74) 1.45 (1.08, 1.94) 0.223
  22:00 -22:59 1.00 1.00 1.00 1.00 1.00 1.00
  23:00 -23:59 1.13 (0.71, 1.77) 0.86 (0.62, 1.20) 0.78 (0.58, 1.05) 0.398 1.30 (0.78, 2.14) 0.85 (0.58, 1.22) 0.88 (0.64, 1.22) 0.505
  ≥24:00 0.99 (0.52, 1.81) 1.01 (0.66, 1.54) 0.76 (0.50, 1.13) 0.785 0.86 (0.42, 1.70) 0.93 (0.58, 1.49) 0.83 (0.53, 1.29) 0.625
1 Li W , Wang D , Cao S , et al. Sleep duration and risk of stroke events and stroke mortality: A systematic review and meta-analysis of prospective cohort studies[J]. Int J Cardiol, 2016, 223, 870- 876.
doi: 10.1016/j.ijcard.2016.08.302
2 Titova OE , Michaëlsson K , Larsson SC . Sleep duration and stroke: Prospective cohort study and mendelian randomization analysis[J]. Stroke, 2020, 51 (11): 3279- 3285.
doi: 10.1161/STROKEAHA.120.029902
3 Zhou L , Yu K , Yang L , et al. Sleep duration, midday napping, and sleep quality and incident stroke: The Dongfeng-Tongji cohort[J]. Neurology, 2020, 94 (4): e345- e356.
doi: 10.1212/WNL.0000000000008739
4 Song Q , Liu X , Zhou W , et al. Long sleep duration and risk of ischemic stroke and hemorrhagic stroke: the Kailuan prospective study[J]. Sci Rep, 2016, 6, 33664.
doi: 10.1038/srep33664
5 Reed DL , Sacco WP . Measuring sleep efficiency: What should the denominator be[J]. J Clin Sleep Med, 2016, 12 (2): 263- 266.
doi: 10.5664/jcsm.5498
6 Didikoglu A , Maharani A , Tampubolon G , et al. Longitudinal sleep efficiency in the elderly and its association with health[J]. J Sleep Res, 2020, 29 (3): e12898.
7 Hirata T , Nakamura T , Kogure M , et al. Reduced sleep efficiency, measured using an objective device, was related to an increased prevalence of home hypertension in Japanese adults[J]. Hypertens Res, 2020, 43 (1): 23- 29.
doi: 10.1038/s41440-019-0329-0
8 Yan B , Yang J , Zhao B , et al. Objective sleep efficiency predicts cardiovascular disease in a community population: The sleep heart health study[J]. J Am Heart Assoc, 2021, 10 (7): e016201.
doi: 10.1161/JAHA.120.016201
9 Portaluppi F , Tiseo R , Smolensky MH , et al. Circadian rhythms and cardiovascular health[J]. Sleep Med Rev, 2012, 16 (2): 151- 166.
doi: 10.1016/j.smrv.2011.04.003
10 Shahram N , Reed AB , Dillon OB , et al. Accelerometer-derived sleep onset timing and cardiovascular disease incidence: A UK Biobank cohort study[J]. Eur Heart J Digital Health, 2021, (4): 4.
11 Korostovtseva L . Ischemic stroke and sleep: The linking genetic factors[J]. Cardiol Ther, 2021, 10 (2): 349- 375.
doi: 10.1007/s40119-021-00231-9
12 Fan M , Sun D , Zhou T , et al. Sleep patterns, genetic suscepti-bility, and incident cardiovascular disease: A prospective study of 385 292 UK BioBank participants[J]. Eur Heart J, 2020, 41 (11): 1182- 1189.
doi: 10.1093/eurheartj/ehz849
13 王梦莹, 唐迅, 秦雪英, 等. 北方农村地区居民常见慢性非传染性疾病的家系队列研究进展[J]. 中华流行病学杂志, 2018, 39 (1): 94- 97.
doi: 10.3760/cma.j.issn.0254-6450.2018.01.020
14 孙可欣, 刘志科, 曹亚英, 等. 北京某社区2型糖尿病患者血糖控制情况与肱踝脉搏波传导速度的相关性研究[J]. 北京大学学报(医学版), 2015, 47 (3): 431- 436.
doi: 10.3969/j.issn.1671-167X.2015.03.012
15 Ohayon M , Wickwire EM , Hirshkowitz M , et al. National Sleep Foundation's sleep quality recommendations: first report[J]. Sleep Health, 2017, 3 (1): 6- 19.
doi: 10.1016/j.sleh.2016.11.006
16 Cheng YC , Stanne TM , Giese AK , et al. Genome-wide association analysis of young-onset stroke identifies a locus on chromosome 10q25 near HABP2[J]. Stroke, 2016, 47 (2): 307- 316.
doi: 10.1161/STROKEAHA.115.011328
17 Malik R , Chauhan G , Traylor M , et al. Multiancestry genome-wide association study of 520 000 subjects identifies 32 loci associated with stroke and stroke subtypes[J]. Nat Genet, 2018, 50 (4): 524- 537.
doi: 10.1038/s41588-018-0058-3
18 Gretarsdottir S , Thorleifsson G , Manolescu A , et al. Risk variants for atrial fibrillation on chromosome 4q25 associate with ischemic stroke[J]. Ann Neurol, 2008, 64 (4): 402- 409.
doi: 10.1002/ana.21480
19 Neurology working group of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium , the stroke genetics network (SiGN) , the International Stroke Genetics Consortium (ISGC) . Identification of additional risk loci for stroke and small vessel disease: A meta-analysis of genome-wide association studies[J]. Lancet Neurol, 2016, 15 (7): 695- 707.
doi: 10.1016/S1474-4422(16)00102-2
20 Matarín M , Brown WM , Scholz S , et al. A genome-wide genotyping study in patients with ischaemic stroke: Initial analysis and data release[J]. Lancet Neurol, 2007, 6 (5): 414- 420.
doi: 10.1016/S1474-4422(07)70081-9
21 Traylor M , Farrall M , Holliday EG , et al. Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): A meta-analysis of genome-wide association studies[J]. Lancet Neurol, 2012, 11 (11): 951- 962.
doi: 10.1016/S1474-4422(12)70234-X
22 Dichgans M , Malik R , König IR , et al. Shared genetic susceptibility to ischemic stroke and coronary artery disease: A genome-wide analysis of common variants[J]. Stroke, 2014, 45 (1): 24- 36.
doi: 10.1161/STROKEAHA.113.002707
23 Smith JG , Melander O , Lövkvist H , et al. Common genetic variants on chromosome 9p21 confers risk of ischemic stroke: A large-scale genetic association study[J]. Circ Cardiovasc Genet, 2009, 2 (2): 159- 164.
doi: 10.1161/CIRCGENETICS.108.835173
24 Traylor M , Mäkelä KM , Kilarski LL , et al. A novel MMP12 locus is associated with large artery atherosclerotic stroke using a genome-wide age-at-onset informed approach[J]. PLoS Genet, 2014, 10 (7): e1004469.
doi: 10.1371/journal.pgen.1004469
25 Holliday EG , Maguire JM , Evans TJ , et al. Common variants at 6p21.1 are associated with large artery atherosclerotic stroke[J]. Nat Genet, 2012, 44 (10): 1147- 1151.
doi: 10.1038/ng.2397
26 Zhu R , Liu X , He Z , et al. miR-146a and miR-196a2 polymorphisms in patients with ischemic stroke in the northern Chinese Han population[J]. Neurochem Res, 2014, 39 (9): 1709- 1716.
doi: 10.1007/s11064-014-1364-5
27 Wan XH , Li SJ , Cheng P , et al. NINJ2 polymorphism is asso-ciated with ischemic stroke in Chinese Han population[J]. J Neurol Sci, 2011, 308 (1/2): 67- 71.
28 Liu ME , Liao YC , Lin RT , et al. A functional polymorphism of PON1 interferes with microRNA binding to increase the risk of ischemic stroke and carotid atherosclerosis[J]. Atherosclerosis, 2013, 228 (1): 161- 167.
doi: 10.1016/j.atherosclerosis.2013.01.036
29 Ding H , Xu Y , Bao X , et al. Confirmation of genomewide association signals in Chinese Han population reveals risk loci for ischemic stroke[J]. Stroke, 2010, 41 (1): 177- 180.
doi: 10.1161/STROKEAHA.109.567099
30 Domingues-Montanari S , Fernández-Cadenas I , Del Río-Espinola A , et al. KCNK17 genetic variants in ischemic stroke[J]. Atherosclerosis, 2010, 208 (1): 203- 209.
doi: 10.1016/j.atherosclerosis.2009.07.023
31 Zhu Y , Liu K , Tang X , et al. Association between NINJ2 gene polymorphisms and ischemic stroke: A family-based case-control study[J]. J Thromb Thrombolysis, 2014, 38 (4): 470- 476.
doi: 10.1007/s11239-014-1065-6
32 Loci associated with ischaemic stroke and its subtypes (SiGN): A genome-wide association study[J]. Lancet Neurol, 2016, 15(2): 174-184.
33 Ikram MA , Seshadri S , Bis JC , et al. Genomewide association studies of stroke[J]. N Engl J Med, 2009, 360 (17): 1718- 1728.
doi: 10.1056/NEJMoa0900094
34 Zhang Y , Tong Y , Zhang Y , et al. Two novel susceptibility SNPs for ischemic stroke using exome sequencing in Chinese Han population[J]. Mol Neurobiol, 2014, 49 (2): 852- 862.
doi: 10.1007/s12035-013-8561-0
35 Grandner MA , Buxton OM , Jackson N , et al. Extreme sleep durations and increased C-reactive protein: effects of sex and ethnoracial group[J]. Sleep, 2013, 36 (5): 769- 779e.
doi: 10.5665/sleep.2646
36 Ramos AR , Jin Z , Rundek T , et al. Relation between long sleep and left ventricular mass (from a multiethnic elderly cohort)[J]. Am J Cardiol, 2013, 112 (4): 599- 603.
doi: 10.1016/j.amjcard.2013.04.029
37 Abe T , Aoki T , Yata S , et al. Sleep duration is significantly associated with carotid artery atherosclerosis incidence in a Japanese population[J]. Atherosclerosis, 2011, 217 (2): 509- 513.
doi: 10.1016/j.atherosclerosis.2011.02.029
38 Doyle CY , Ruiz JM , Taylor DJ , et al. Associations between objective sleep and ambulatory blood pressure in a community sample[J]. Psychosom Med, 2019, 81 (6): 545- 556.
doi: 10.1097/PSY.0000000000000711
39 Lao XQ , Liu X , Deng HB , et al. Sleep quality, sleep duration, and the risk of coronary heart disease: A prospective cohort study with 60 586 adults[J]. J Clin Sleep Med, 2018, 14 (1): 109- 117.
doi: 10.5664/jcsm.6894
40 Massar SAA , Liu JCJ , Mohammad NB , et al. Poor habitual sleep efficiency is associated with increased cardiovascular and cortisol stress reactivity in men[J]. Psychoneuroendocrinology, 2017, 81, 151- 156.
doi: 10.1016/j.psyneuen.2017.04.013
41 Yang L , Chu Y , Wang L , et al. Overexpression of CRY1 protects against the development of atherosclerosis via the TLR/NF-κB pathway[J]. Int Immunopharmacol, 2015, 28 (1): 525- 530.
doi: 10.1016/j.intimp.2015.07.001
42 Roenneberg T , Kuehnle T , Juda M , et al. Epidemiology of the human circadian clock[J]. Sleep Med Rev, 2007, 11 (6): 429- 438.
doi: 10.1016/j.smrv.2007.07.005
43 Kirchhof P , Kahr PC , Kaese S , et al. PITX2c is expressed in the adult left atrium, and reducing Pitx2c expression promotes atrial fibrillation inducibility and complex changes in gene expression[J]. Circ Cardiovasc Genet, 2011, 4 (2): 123- 133.
doi: 10.1161/CIRCGENETICS.110.958058
44 Li H , Cai Y , Xu AD . Association study of polymorphisms in the ABO gene and their gene-gene interactions with ischemic stroke in Chinese population[J]. J Clin Lab Anal, 2018, 32 (4): e22329.
doi: 10.1002/jcla.22329
45 Sandford AJ , Ha A , Ngan DA , et al. Adhesion molecule gene variants and plasma protein levels in patients with suspected obstructive sleep apnea[J]. PLoS One, 2019, 14 (1): e0210732.
doi: 10.1371/journal.pone.0210732
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