Evaluation of Genetic Markers as Instruments for Mendelian Randomization Studies on Vitamin D

被引:74
|
作者
Berry, Diane J. [1 ,2 ]
Vimaleswaran, Karani S. [2 ]
Whittaker, John C. [3 ]
Hingorani, Aroon D. [4 ,5 ]
Hyppoenen, Elina [1 ,2 ]
机构
[1] UCL Inst Child Hlth, Ctr Paediat Epidemiol & Biostat, London, England
[2] UCL Inst Child Hlth, MRC Ctr Epidemiol Child Hlth, London, England
[3] London Sch Hyg & Trop Med, Dept Epidemiol & Populat Hlth, London WC1, England
[4] UCL, Dept Epidemiol & Publ Hlth, Genet Epidemiol Grp, London, England
[5] UCL, Ctr Clin Pharmacol, London, England
来源
PLOS ONE | 2012年 / 7卷 / 05期
基金
英国惠康基金; 英国医学研究理事会;
关键词
GENOME-WIDE ASSOCIATION; BRITISH BIRTH COHORT; AGE; 45; YEARS; DETERMINANTS; POPULATION; RISK; IMPUTATION; DISEASE; ENZYME; ADULTS;
D O I
10.1371/journal.pone.0037465
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Mendelian randomization (MR) studies use genetic variants mimicking the influence of a modifiable exposure to assess and quantify a causal association with an outcome, with an aim to avoid problems with confounding and reverse causality affecting other types of observational studies. Aim: We evaluated genetic markers that index differences in 25-hydroxyvitamin D (25(OH) D) as instruments for MR studies on vitamin D. Methods and Findings: We used data from up-to 6,877 participants in the 1958 British birth cohort with information on genetic markers and 25(OH) D. As potential instruments, we selected 20 single nucleotide polymorphisms (SNP) which are located in the vitamin D metabolism pathway or affect skin pigmentation/tanning, including 4 SNPs from genome-wide association (GWA) meta-analyses on 25(OH) D. We analyzed SNP associations with 25(OH) D and evaluated the use of allele scores dividing genes to those affecting 25(OH) D synthesis (DHCR7, CYP2R1) and metabolism (GC, CYP24A1, CYP27B1). In addition to the GWA SNPs, only two SNPs (CYP27B1, OCA2) showed evidence for association with 25(OH) D, with the OCA2 association abolished after lifestyle adjustment. Per allele differences varied between -0.02 and -0.08 nmol/L (P <= 0.02 for all), with a 6.1 nmol/L and a 10.2 nmol/L difference in 25(OH) D between individuals with highest compared lowest number of risk alleles in synthesis and metabolism allele scores, respectively. Individual SNPs but not allele scores showed associations with lifestyle factors. An exception was geographical region which was associated with synthesis score. Illustrative power calculations (80% power, 5% alpha) suggest that approximately 80,000 participants are required to establish a causal effect of vitamin D on blood pressure using the synthesis allele score. Conclusions: Combining SNPs into allele scores provides a more powerful instrument for MR analysis than a single SNP in isolation. Population stratification and the potential for pleiotropic effects need to be considered in MR studies on vitamin D.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Extending Causality Tests with Genetic Instruments: An Integration of Mendelian Randomization with the Classical Twin Design
    Camelia C. Minică
    Conor V. Dolan
    Dorret I. Boomsma
    Eco de Geus
    Michael C. Neale
    [J]. Behavior Genetics, 2018, 48 : 337 - 349
  • [42] A putative causality of vitamin D in common diseases: A mendelian randomization study
    Liu, Hui
    Shen, Xudan
    Yu, Tunan
    Wang, Yifan
    Cai, Sheng
    Jiang, Xia
    Cai, Xiujun
    [J]. FRONTIERS IN NUTRITION, 2022, 9
  • [43] Vitamin D and Multiple Health Outcomes: An Umbrella Review of Observational Studies, Randomized Controlled Trials, and Mendelian Randomization Studies
    Liu, Di
    Meng, Xiaoni
    Tian, Qiuyue
    Cao, Weijie
    Fan, Xin
    Wu, Lijuan
    Song, Manshu
    Meng, Qun
    Wang, Wei
    Wang, Youxin
    [J]. ADVANCES IN NUTRITION, 2022, 13 (04) : 1044 - 1062
  • [44] Mendelian Randomization Studies in the Elderly
    Boef, Anna G. C.
    le Cessie, Saskia
    Dekkers, Olaf M.
    [J]. EPIDEMIOLOGY, 2015, 26 (02) : E15 - E16
  • [45] Selection of genetic instruments in Mendelian randomisation studies of sleep traits
    Paz, Valentina
    Dashti, Hassan S.
    Burgess, Stephen
    Garfield, Victoria
    [J]. SLEEP MEDICINE, 2023, 112 : 342 - 351
  • [46] Health Effects of Vitamin D Supplementation: Lessons Learned From Randomized Controlled Trials and Mendelian Randomization Studies
    Bouillon, Roger
    LeBoff, Meryl S.
    Neale, Rachel E.
    [J]. JOURNAL OF BONE AND MINERAL RESEARCH, 2023, 38 (10) : 1391 - 1403
  • [47] Vitamin D and heart failure risk among individuals with type 2 diabetes: observational and Mendelian randomization studies
    Chen, Xue
    Xu, Jiajing
    Wan, Zhenzhen
    Geng, Tingting
    Zhu, Kai
    Li, Rui
    Lu, Qi
    Lin, Xiaoyu
    Liu, Sen
    Ou, Yunjing
    Yang, Kun
    An, Pan
    Manson, JoAnn E.
    Liu, Gang
    [J]. AMERICAN JOURNAL OF CLINICAL NUTRITION, 2024, 120 (03): : 491 - 498
  • [48] Commentary: One size fits all: are there standard rules for the use of genetic instruments in Mendelian randomization?
    Timpson, Nicholas J.
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2016, 45 (05) : 1617 - 1618
  • [49] Mendelian randomization on the association of obesity with vitamin D: Guangzhou Biobank Cohort Study
    Ying Yue Huang
    Wei Sen Zhang
    Chao Qiang Jiang
    Feng Zhu
    Ya Li Jin
    Kar Keung Cheng
    Tai Hing Lam
    Lin Xu
    [J]. European Journal of Clinical Nutrition, 2023, 77 : 195 - 201
  • [50] Vitamin D, prediabetes and type 2 diabetes: bidirectional Mendelian randomization analysis
    Wang, Ningjian
    Wang, Chiyu
    Chen, Xiaoman
    Wan, Heng
    Chen, Yi
    Chen, Chi
    Han, Bing
    Lu, Yingli
    [J]. EUROPEAN JOURNAL OF NUTRITION, 2020, 59 (04) : 1379 - 1388