Kim Nicholas J, Chowdhury Nahian F, Buetow Kenneth H, Thompson Paul M, Irimia Andrei
University of Southern California (Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering), Los Angeles, CA, USA.
University of Southern California (Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology), Los Angeles, CA, USA.
Neuroinformatics. 2025 Apr 1;23(2):26. doi: 10.1007/s12021-025-09722-9.
In T-weighted magnetic resonance imaging (MRI), cortical thickness (CT) and gray-white matter contrast (GWC) capture brain morphological traits and vary with age-related disease. To gain insight into genetic factors underlying brain structure and dynamics observed during neurodegeneration, this genome-wide association study (GWAS) quantifies the relationship between single nucleotide polymorphisms (SNPs) and both CT and GWC in UK Biobank participants (N = 43,002). To our knowledge, this is the first GWAS to investigate the genetic determinants of cortical T-MRI GWC in humans. We found 251 SNPs associated with CT or GWC for at least 1% of cortical locations, including 42 for both CT and GWC; 127 for only CT; and 82 for only GWC. Identified SNPs include rs1080066 (THSB1, featuring the strongest association with both CT and GWC), rs13107325 (SLC39A8, linked to CT at the largest number of cortical locations), and rs864736 (KCNK2, associated with GWC at the largest number of cortical locations). Dimensionality reduction reveals three major gene ontologies constraining CT (neural signaling, ion transport, cell migration) and four constraining GWC (neural cell development, cellular homeostasis, tissue repair, ion transport). Our findings provide insight into genetic determinants of GWC and CT, highlighting pathways associated with brain anatomy and dynamics of neurodegeneration. These insights can assist the development of gene therapies and treatments targeting brain diseases.
在T加权磁共振成像(MRI)中,皮质厚度(CT)和灰白质对比度(GWC)可捕捉脑形态特征,并随年龄相关疾病而变化。为深入了解神经退行性变过程中观察到的脑结构和动态变化的遗传因素,这项全基因组关联研究(GWAS)对英国生物银行参与者(N = 43,002)的单核苷酸多态性(SNP)与CT和GWC之间的关系进行了量化。据我们所知,这是第一项研究人类皮质T-MRI GWC遗传决定因素的GWAS。我们发现251个SNP与至少1%的皮质位置的CT或GWC相关,其中42个与CT和GWC均相关;127个仅与CT相关;82个仅与GWC相关。鉴定出的SNP包括rs1080066(THSB1,与CT和GWC的关联最强)、rs13107325(SLC39A8,在最多皮质位置与CT相关)和rs864736(KCNK2,在最多皮质位置与GWC相关)。降维分析揭示了三个主要的基因本体论限制CT(神经信号传导、离子运输、细胞迁移)和四个限制GWC(神经细胞发育、细胞内稳态、组织修复、离子运输)。我们的研究结果为GWC和CT的遗传决定因素提供了见解,突出了与脑解剖结构和神经退行性变动态相关的途径。这些见解有助于开发针对脑部疾病的基因疗法和治疗方法。