Understanding Non-Mendelian Genetic Risk

被引:1
|
作者
Coetzee, Gerhard A. [1 ]
机构
[1] Van Andel Inst, Ctr Neurodegenerat Sci, Grand Rapids, MI 49503 USA
关键词
GWAS functionality; chromatin; genomics; SNP; genes; non-mendelian genetic risk; VARIANT; GENOME;
D O I
10.2174/1389202920666191018085511
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
This opinion paper highlights strategies for a better understanding of non-Mendelian genetic risk that was revealed by genome-wide association studies (GWAS) of complex diseases. The genetic risk resides predominantly in non-coding regulatory DNA, such as in enhancers. The identification of mechanisms, the causal variants (mainly SNPs), and their target genes are, however, not always apparent but are likely involved in a network of risk determinants; the identification presents a bottle-neck in the full understanding of the genetics of complex phenotypes. Here, we propose strategies to identify functional SNPs and link risk enhancers with their target genes. The strategies are 1) identifying fine-mapped SNPs that break/form response elements within chromatin bio-features in relevant cell types 2) considering the nearest gene on linear DNA, 3) analyzing eQTLs, 4) mapping differential DNA methylation regions and relating them to gene expression, 5) employing genomic editing with CRISPR/cas9 and 6) identifying topological associated chromatin domains using chromatin conformation capture.
引用
收藏
页码:322 / 324
页数:3
相关论文
共 50 条
  • [31] Prevalence of Mendelian and non-Mendelian forms of genetic disease in a Swiss cohort of adult kidney stone formers
    Anderegg, Manuel
    Olinger, Eric
    Bargagli, Matteo
    Geraghty, Rob
    Pohlmeier, Lea
    Nater, Alexander
    Sayer, John
    Vogt, Bruno
    Halbritter, Jan
    Schaller, Andre
    Fuster, Daniel
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2024, 39
  • [32] Prevalence of Mendelian and non-Mendelian forms of genetic disease in a Swiss cohort of adult kidney stone formers
    Anderegg, Manuel
    Olinger, Eric
    Bargagli, Matteo
    Geraghty, Rob
    Pohlmeier, Lea
    Nater, Alexander
    Sayer, John
    Vogt, Bruno
    Halbritter, Jan
    Schaller, Andre
    Fuster, Daniel
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2024, 39 : I220 - I220
  • [33] Evolving methods in genetic epidemiology .4. Approaches to non-Mendelian inheritance
    Sherman, SL
    EPIDEMIOLOGIC REVIEWS, 1997, 19 (01) : 44 - 51
  • [34] Genetics in Parkinson disease: Mendelian versus non-Mendelian inheritance
    Hernandez, Dena G.
    Reed, Xylena
    Singleton, Andrew B.
    JOURNAL OF NEUROCHEMISTRY, 2016, 139 : 59 - 74
  • [35] Assessing non-Mendelian inheritance in inherited axonopathies
    Bis-Brewer, Dana M.
    Gan-Or, Ziv
    Sleiman, Patrick
    Hakonarson, Hakon
    Fazal, Sarah
    Courel, Steve
    Cintra, Vivian
    Tao, Feifei
    Estiar, Mehrdad A.
    Tarnopolsky, Mark
    Boycott, Kym M.
    Yoon, Grace
    Suchowersky, Oksana
    Dupre, Nicolas
    Cheng, Andrew
    Lloyd, Thomas E.
    Rouleau, Guy
    Schuele, Rebecca
    Zuchner, Stephan
    GENETICS IN MEDICINE, 2020, 22 (12) : 2114 - 2119
  • [36] Non-Mendelian transmission of accessory chromosomes in fungi
    Komluski, Jovan
    Stukenbrock, Eva H.
    Habig, Michael
    CHROMOSOME RESEARCH, 2022, 30 (2-3) : 241 - 253
  • [37] Epigenetics and the non-Mendelian complexities of complex diseases
    Petronis, A.
    HUMAN REPRODUCTION, 2003, 18 : 47 - 47
  • [38] WEIRD GENETICS - EVOLUTION AND NON-MENDELIAN GENES
    MAJERUS, MEN
    HURST, GDD
    TRENDS IN ECOLOGY & EVOLUTION, 1993, 8 (09) : 310 - 311
  • [39] SPATIALLY EXPLICIT NON-MENDELIAN DIPLOID MODEL
    Lanchier, N.
    Neuhauser, C.
    ANNALS OF APPLIED PROBABILITY, 2009, 19 (05): : 1880 - 1920
  • [40] GENES AND NON-MENDELIAN DISEASES dealing with complexity
    Jordan, Bertrand
    PERSPECTIVES IN BIOLOGY AND MEDICINE, 2014, 57 (01) : 118 - 131