Phenome-wide association study on miRNA-related sequence variants: the UK Biobank

被引:3
|
作者
Mustafa, Rima [1 ,2 ,3 ,4 ]
Ghanbari, Mohsen [5 ]
Karhunen, Ville [6 ,7 ]
Evangelou, Marina [8 ]
Dehghan, Abbas [1 ,2 ,9 ]
机构
[1] Imperial Coll London, Dept Epidemiol & Biostat, London, England
[2] Imperial Coll London, UK Dementia Res Inst, London, England
[3] Univ Oxford, Big Data Inst, Li Ka Shing Ctr Hlth Informat & Discovery, Oxford, England
[4] Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England
[5] Erasmus MC Univ Med Ctr, Dept Epidemiol, Rotterdam, Netherlands
[6] Univ Oulu, Res Unit Math Sci, Oulu, Finland
[7] Univ Oulu, Res Unit Populat Hlth, Oulu, Finland
[8] Imperial Coll London, Dept Math, London, England
[9] Imperial Coll London, MRC Ctr Environm & Hlth, London, England
关键词
microRNA; Genetic variants; Phenome; Pleiotropy; GENETIC-VARIANTS; BINDING-SITES; MICRORNAS; POLYMORPHISM; CANCER; RISK; LOCI; BIOGENESIS; DISEASE; REGION;
D O I
10.1186/s40246-023-00553-w
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
BackgroundGenetic variants in the coding region could directly affect the structure and expression levels of genes and proteins. However, the importance of variants in the non-coding region, such as microRNAs (miRNAs), remain to be elucidated. Genetic variants in miRNA-related sequences could affect their biogenesis or functionality and ultimately affect disease risk. Yet, their implications and pleiotropic effects on many clinical conditions remain unknown.MethodsHere, we utilised genotyping and hospital records data in the UK Biobank (N = 423,419) to investigate associations between 346 genetic variants in miRNA-related sequences and a wide range of clinical diagnoses through phenome-wide association studies. Further, we tested whether changes in blood miRNA expression levels could affect disease risk through colocalisation and Mendelian randomisation analysis.ResultsWe identified 122 associations for six variants in the seed region of miRNAs, nine variants in the mature region of miRNAs, and 27 variants in the precursor miRNAs. These included associations with hypertension, dyslipidaemia, immune-related disorders, and others. Nineteen miRNAs were associated with multiple diagnoses, with six of them associated with multiple disease categories. The strongest association was reported between rs4285314 in the precursor of miR-3135b and celiac disease risk (odds ratio (OR) per effect allele increase = 0.37, P = 1.8 x 10-162). Colocalisation and Mendelian randomisation analysis highlighted potential causal role of miR-6891-3p in dyslipidaemia.ConclusionsOur study demonstrates the pleiotropic effect of miRNAs and offers insights to their possible clinical importance.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Phenome-wide association study on miRNA-related sequence variants: the UK Biobank
    Rima Mustafa
    Mohsen Ghanbari
    Ville Karhunen
    Marina Evangelou
    Abbas Dehghan
    Human Genomics, 17
  • [2] Phenome-wide heritability analysis of the UK Biobank
    Ge, Tian
    Chen, Chia-Yen
    Neale, Benjamin M.
    Sabuncu, Mert R.
    Smoller, Jordan W.
    PLOS GENETICS, 2017, 13 (04):
  • [3] A PHENOME-WIDE ASSOCIATION AND MENDELIAN RANDOMISATION STUDY OF POLYGENIC RISK FOR DEPRESSION IN UK BIOBANK
    Shen, Xueyi
    Howard, David
    Adams, Mark
    Deary, Ian
    Whalley, Heather
    McIntosh, Andrew
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2019, 29 : S88 - S88
  • [4] A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
    Shen, Xueyi
    Howard, David M.
    Adams, Mark J.
    Hill, W. David
    Clarke, Toni-Kim
    Deary, Ian J.
    Whalley, Heather C.
    Mclntosh, Andrew M.
    NATURE COMMUNICATIONS, 2020, 11 (01)
  • [5] A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
    Xueyi Shen
    David M. Howard
    Mark J. Adams
    W. David Hill
    Toni-Kim Clarke
    Ian J. Deary
    Heather C. Whalley
    Andrew M. McIntosh
    Nature Communications, 11
  • [6] Enhanced rare disease mapping for phenome-wide genetic association in the UK Biobank
    Matthew T. Patrick
    Redina Bardhi
    Wei Zhou
    James T. Elder
    Johann E. Gudjonsson
    Lam C. Tsoi
    Genome Medicine, 14
  • [7] Enhanced rare disease mapping for phenome-wide genetic association in the UK Biobank
    Patrick, Matthew T.
    Bardhi, Redina
    Zhou, Wei
    Elder, James T.
    Gudjonsson, Johann E.
    Tsoi, Lam C.
    GENOME MEDICINE, 2022, 14 (01)
  • [8] Phenome-wide association studies of copy number variations in UK Biobank whole genomes
    Zou, Xueqing
    Hu, Fengyuan
    Burren, Oliver
    Jiang, Xiao
    Atanur, Santosh
    Lewis, Samuel
    Smith, Katherine
    Wang, Quanli
    Petrovski, Slave
    Carss, Keren
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2024, 32 : 773 - 773
  • [9] A cross-disorder phenome-wide association study of 5 major psychiatric disorders in UK Biobank
    Leppert, Beate
    Millard, Louise
    Riglin, Lucy
    Smith, George Davey
    Thapar, Anita
    Tilling, Kate
    Walton, Esther
    Stergiakouli, Evie
    BEHAVIOR GENETICS, 2019, 49 (06) : 524 - 524
  • [10] A phenome-wide association study of polygenic scores for selected childhood cancer: Results from the UK Biobank
    Jung, Eun Mi
    Raduski, Andrew R.
    Mills, Lauren J.
    Spector, Logan G.
    HUMAN GENETICS AND GENOMICS ADVANCES, 2025, 6 (01):