Poster No:
2143
Submission Type:
Abstract Submission
Authors:
Manpreet Singh1, Kimia Shafighi2, Sarah Taliun1, Ikrame Housni3, Flavie Detcheverry3, Sridar Narayanan4, Danilo Bzdok5, AmanPreet Badhwar6
Institutions:
1University of Montreal, Montréal, QC, 2McGill University, Montréal, QC, 3Université de Montréal, Montréal, Québec, 4Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, 5McConnell Brain Imaging Centre (BIC), Montreal Neurol, McGill Universityogical Institute (MNI), Montreal, Quebec, 6Département de pharmacologie et physiologie, Faculté de médecine, Université de Montréal, Montreal, Quebec
First Author:
Co-Author(s):
Sridar Narayanan
Department of Neurology and Neurosurgery, McGill University
Montreal, Quebec
Danilo Bzdok
McConnell Brain Imaging Centre (BIC), Montreal Neurol, McGill Universityogical Institute (MNI)
Montreal, Quebec
AmanPreet Badhwar
Département de pharmacologie et physiologie, Faculté de médecine, Université de Montréal
Montreal, Quebec
Introduction:
White matter hyperintensities (WMHs), an established MRI-detected marker of vascular brain injury, are frequently present in Alzheimer's disease and related dementias (ADRDs), and are known to exert an independent effect on cognitive decline in these diseases (Debette and Markus 2010). Genetically, WMHs demonstrate high heritability in twin, sibship and family studies (~70%) (Turner et al. 2004; Atwood et al. 2004). While research on WMHs, as well as the ADRDs, have mostly focussed on the brain, emerging evidence points to crosstalk between brain and body (Makin et al. 2015),(Huang et al. 2022). However, the heritability of WMHs across tissue- and cell-types in the whole body (i.e., the brain-body axis) have not been characterized. Addressing this gap in knowledge, the aims of this study are to (1) characterize WMH tissue- and cell-specific partitioned heritability in the whole body, and (2) identify common partitioned heritability components between WMHs and ADRDs.
Methods:
Assessment of tissue-specific heritability: We ran stratified-linkage disequilibrium score regression (sLDSC) on summary statistics from genome wide association studies (GWAS) (N=3 WMH studies; N=10 ADRD studies; Figure 1) for partitioning heritability of the phenotypes (i.e., WMHs or ADRDs) across published tissue-specific binary annotations (N=10) (Finucane et al. 2015). Per GWAS study, enrichment of phenotype-associated-single nucleotide polymorphism (SNPs) within each tissue-type was calculated. Assessment of cell-specific heritability: Using sLDSC, we partitioned heritability of phenotypes across published cell-specific continuous annotations (Cao et al. 2020) for all cell-types associated with tissues enriched for WMHs. -log10(enrichment_p) values were used to interpret the data and represent the strength of the association. Only significantly enriched cell types (Figure 2) are presented below (>-log10(0.05)). A 5% False Discovery Rate threshold was applied to correct for multiple comparisons.

Results:
We found that WMH-associated-SNPs were significantly enriched in four tissues. Cardiovascular and kidney enrichments were observed in WMH only, while CNS and liver enrichments were found common to both WMH- and AD-associated-SNPs (Figure 2A). Cell analysis within the four tissues enriched with WMH-associated-SNPs shows that 16/64 cell-types were also enriched, with vascular endothelial cells (vECs) being enriched in all four tissues. The tissue with the highest proportion of cell-types showing WMH-associated-SNPs enrichment was the liver (5/9 cell-types, 55%), followed by CNS (6/18 cell types, 33%). While WMHs and AD both showed enrichment in CNS and liver tissues, in the CNS, cell-specific analysis highlighted enrichment in distinct cerebellar cell-types, with inhibitory interneurons and Purkinje cells being enriched for AD and WMHs, respectively (Figure 2B). Cell-specific analyses on liver cells showed no AD-associated-SNPs enrichment.
Conclusions:
Established literature highlights brain vEC dysfunction as a pathogenic mechanism of WMHs (Hassan et al. 2003). We demonstrated that SNPs associated with WMHs were enriched in vECs not only in the CNS, but also in cardiovasculature (heart, lungs), liver, and kidney tissues. In line with our findings, WMHs have also been linked to heart hypoperfusion (Berry et al. 2019), non-alcoholic fatty liver disease (Jang et al. 2019), and worse kidney function (Makin et al. 2015). Overall, our findings lend strength to the proposition that presence of MRI-detected WMHs is indicative of an underlying multi-system endothelial disorder affecting several vascular beds (Vogels et al. 2012). In addition, the enrichment of both WMH- and AD-associated SNPs in inhibitory CNS cells may suggest common mechanistic pathways. Further follow-up studies are required to enhance our understanding of the causative pathways associated with these multi-systemic genetic findings.
Disorders of the Nervous System:
Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s)
Genetics:
Genetic Modeling and Analysis Methods 2
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Neuroanatomy Other 1
Keywords:
Cellular
Cerebrovascular Disease
Computational Neuroscience
Informatics
Phenotype-Genotype
Statistical Methods
Other - white matter hyperintensities, Alzheimer's disease and related dementias, heritability analysis, linkage disequilibrium score regression
1|2Indicates the priority used for review
Provide references using author date format
Atwood, Larry D., Philip A. Wolf, Nancy L. Heard-Costa, Joseph M. Massaro, Alexa Beiser, Ralph B. D’Agostino, and Charles DeCarli. 2004. “Genetic Variation in White Matter Hyperintensity Volume in the Framingham Study.” Stroke; a Journal of Cerebral Circulation 35 (7): 1609–13.
Berry, Colin, Novalia Sidik, Anthony C. Pereira, Thomas J. Ford, Rhian M. Touyz, Juan‐carlos Kaski, and Atticus H. Hainsworth. 2019. “Small‐Vessel Disease in the Heart and Brain: Current Knowledge, Unmet Therapeutic Need, and Future Directions.” Journal of the American Heart Association 8 (3): e011104.
Cao, Junyue, Diana R. O’Day, Hannah A. Pliner, Paul D. Kingsley, Mei Deng, Riza M. Daza, Michael A. Zager, et al. 2020. “A Human Cell Atlas of Fetal Gene Expression.” Science 370 (6518). https://doi.org/10.1126/science.aba7721.
Debette, Stéphanie, and H. S. Markus. 2010. “The Clinical Importance of White Matter Hyperintensities on Brain Magnetic Resonance Imaging: Systematic Review and Meta-Analysis.” BMJ 341 (July): c3666.
Finucane, Hilary K., Brendan Bulik-Sullivan, Alexander Gusev, Gosia Trynka, Yakir Reshef, Po-Ru Loh, Verneri Anttila, et al. 2015. “Partitioning Heritability by Functional Annotation Using Genome-Wide Association Summary Statistics.” Nature Genetics 47 (11): 1228–35.
Hassan, Ahamad, Beverley J. Hunt, Michael O’Sullivan, Kiran Parmar, John M. Bamford, Dennis Briley, Martin M. Brown, Dafydd J. Thomas, and Hugh S. Markus. 2003. “Markers of Endothelial Dysfunction in Lacunar Infarction and Ischaemic Leukoaraiosis.” Brain: A Journal of Neurology 126 (Pt 2): 424–32.
Huang, Zhihai, Hung Wen Kevin Lin, Quanguang Zhang, and Xuemei Zong. 2022. “Targeting Alzheimer’s Disease: The Critical Crosstalk between the Liver and Brain.” Nutrients 14 (20). https://doi.org/10.3390/nu14204298.
Jang, Hyemin, Danbee Kang, Yoosoo Chang, Yeshin Kim, Jin San Lee, Ko Woon Kim, Young Kyoung Jang, et al. 2019. “Author Correction: Non-Alcoholic Fatty Liver Disease and Cerebral Small Vessel Disease in Korean Cognitively Normal Individuals.” Scientific Reports 9 (1): 14825.
Makin, Stephen D. J., F. A. B. Cook, Martin S. Dennis, and Joanna M. Wardlaw. 2015. “Cerebral Small Vessel Disease and Renal Function: Systematic Review and Meta-Analysis.” Cerebrovascular Diseases 39 (1): 39–52.
Turner, Stephen T., Clifford R. Jack, Myriam Fornage, Thomas H. Mosley, Eric Boerwinkle, and Mariza de Andrade. 2004. “Heritability of Leukoaraiosis in Hypertensive Sibships.” Hypertension 43 (2): 483–87.