生物
全基因组关联研究
计算生物学
疾病
组学
复杂疾病
生物信息学
遗传学
基因型
医学
单核苷酸多态性
基因
病理
作者
Peter Kreitmaier,Georgia Katsoula,Eleftheria Zeggini
标识
DOI:10.1016/j.tig.2022.08.005
摘要
Genome-wide association studies (GWAS) have provided insights into the genetic basis of complex diseases. In the next step, integrative multi-omics approaches can characterize molecular profiles in relevant primary tissues to reveal the mechanisms that underlie disease development. Here, we highlight recent progress in four examples of complex diseases generated by integrative studies: type 2 diabetes (T2D), osteoarthritis, Alzheimer's disease (AD), and systemic lupus erythematosus (SLE). High-resolution methodologies such as single-cell and spatial omics techniques will become even more important in the future. Furthermore, we emphasize the urgent need to include as yet understudied cell types and increase the diversity of studied populations.
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