Chakkarai Sathyaseelan, Le Grand Quentin, Shaoxuan Lucas Wang, Debette Stephanie, Sargurupremraj Muralidharan
Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center at San Antonio, San Antonio, Texas, USA.
Institut du Cerveau (ICM), Paris Brain Institute, INSERM U1127, UMR CNRS 7225 Paris, Sorbonne Université, Assistance Publique des Hôpitaux de Paris, Paris, France.
J Cereb Blood Flow Metab. 2025 Aug 6:271678X251362977. doi: 10.1177/0271678X251362977.
Cerebral small vessel disease (cSVD) is a major contributor to stroke, dementia, and cognitive decline. Despite significant progress through large-scale genome-wide association studies (GWAS) for cSVD and stroke, the genetic architecture underlying these conditions remains poorly understood. This review highlights recent advancements in statistical tools and provides a comprehensive overview of current insights into the genetic underpinnings of cSVD and stroke. We focus on the relevance of non-additive effects, local heritability, and polygenicity in shaping these traits. While single nucleotide polymorphism (SNP)-based heritability estimates for stroke and cSVD traits remain lower than pedigree-based estimates, we explore challenges and opportunities in addressing this "missing heritability." In particular, we emphasize the importance of investigating both common and rare variants, to better characterize the genetic basis of cSVD. Furthermore, we discuss the role of negative selection in shaping complex disease traits and the relevance of the "omnigenic" model in the context of cSVD traits. In summary, we aim to provide a more nuanced understanding of cSVD and stroke genetics, paving the way for future research into their molecular mechanisms.
脑小血管病(cSVD)是导致中风、痴呆和认知衰退的主要因素。尽管通过大规模全基因组关联研究(GWAS)在cSVD和中风研究方面取得了重大进展,但这些疾病背后的遗传结构仍知之甚少。本综述重点介绍了统计工具的最新进展,并全面概述了目前对cSVD和中风遗传基础的认识。我们关注非加性效应、局部遗传力和多基因性在塑造这些性状中的相关性。虽然基于单核苷酸多态性(SNP)的中风和cSVD性状遗传力估计值仍低于基于家系的估计值,但我们探讨了解决这种“遗传力缺失”问题的挑战和机遇。特别是,我们强调研究常见和罕见变异的重要性,以更好地描述cSVD的遗传基础。此外,我们讨论了负选择在塑造复杂疾病性状中的作用以及“泛基因”模型在cSVD性状背景下的相关性。总之,我们旨在提供对cSVD和中风遗传学更细致入微的理解,为未来对其分子机制的研究铺平道路。