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Mormino, Beth C.

Mayo Clinic

Stanford Medicine

Citations 3

Sex, education and race/ethnicity have distinct effects on amyloid and tau‐PET status
Groot, Colin , Rowe, Christopher C., Giessen, Elsmarieke van de, Flier, Wiesje M. van der, Pijnenburg, Yolande A.L., Visser, Pieter Jelle, Braber, Anouk den, Pontecorvo, Michael J. , Burnham, Samantha C., Lu, Ming , Jagust, William J., Baker, Suzanne L. , Harrison, Theresa, Gispert, Juan Domingo, Shekari, Mahnaz , Minguillón, Carolina, Smith, Ruben, Mattsson‐Carlgren, Niklas, Palmqvist, Sebastian, Strandberg, Olof, Stomrud, Erik, Brickman, Adam, Manly, Jennifer J., Lao, Patrick J., Kreisl, William Charles, Malpetti, Maura, O'Brien, John T, Jäger, Elena, Bischof, Gérard, Drzezga, Alexander, Xie, Fang, Mao, Xiaoxie, Guan, Yihui, Frisoni, Giovanni B, Peretti, Débora Elisa , Skoog, I., Kern, Silke, Sperling, Reisa A., Johnson, Keith A., Risacher, Shannon, Saykin, Andrew J., Carrillo, Maria C., Dickerson, Brad C., Apostolova, Liana G., Rabinovici, Gil D., Barthel, H, Messerschmidt, Konstantin, Vandenberghe, Rik, Laere, Koen J. Van, Spruyt, Laure , Petersen, Ronald, Jack, Clifford R., Franzmeier, Nicolai, Brendel, Matthias, Gnörich, Johannes, Benzinger, Tammie L.S., Lagarde, Julien, Sarazin, Marie , Villeneuve, Sylvia , Poirier, Judes, Seo, Sang Won, Gu, Yuna , Kim, Jun Pyo, Mormino, Beth C., Vossler, Hillary , Rosa‐Neto, Pedro, Therriault, Joseph, Rahmouni, Nesrine, Cash, David M, Schott, Jonathan M, Hanseeuw, Bernard J, Jansen, Willemijn J. , Joie, Renaud La, Rosen, Howard J., Johnson, Sterling C., Christian, Bradley T, Betthauser, Tobey J., Landau, Susan M., O'Bryant, Sid E., Hansson, Oskar H., Ossenkoppele, Rik, Prevent‐AD, ADNI, ADNI‐DOD, A‐Study, MCSA,, O’Brien, John T. , O'Brien, John Tiernan , Groot, Colin , Coomans, Emma M. , Rowe, Christopher C., Doré, Vincent , Feizpour, Azadeh , Giessen, Elsmarieke van de , Flier, Wiesje M. van der , Pijnenburg, Yolande A.L. , Visser, Pieter Jelle , Braber, Anouk den , Burnham, Samantha C. , Kennedy, Ian Andrew , Jagust, William J. , Harrison, Theresa M. , Gispert, Juan Domingo , Shekari, Mahnaz , Minguillón, Carolina , Smith, Ruben, Mattsson, Niklas , Palmqvist, Sebastian , Strandberg, Olof, Stomrud, Erik , Brickman, Adam M. , Luchsinger, Jose Alejandro , Manly, Jennifer J. , Lao, Patrick , Malpetti, Maura , Rowe, James B. , Bischof, Gérard N. , Drzezga, Alexander E. , Xie, Fang , Guan, Yihui , Garibotto, Valentina , Frisoni, Giovanni B. , Schöll, Michael , Kern, Silke , Sperling, Reisa Anne , Johnson, Keith A. , Risacher, Shannon L. , Saykin, Andrew J. , Carrillo, María C. , Dickerson, Bradford Clark , Apostolova, Liana G. , Rabinovici, Gil D. , Rullmann, Michael , Messerschmidt, Konstantin, Vandenberghe, Rik , Petersen, Ronald, Jack, Clifford R. , Franzmeier, Nicolai , Brendel, Matthias , Gnörich, Johannes , Benzinger, Tammie L.S. , Lagarde, Julien , Bottlaender, Michel , Poirier, Judes , Seo, Sang Won , Kim, Jun Pyo, Young, Christina B. , Rosa-Neto, Pedro , Therriault, Joseph , Rahmouni, Nesrine , Coath, William , Cash, David M. , Schott, Jonathan M. , Hanseeuw, Bernard , Salman, Yasmine , Malotaux, Vincent , Joie, Renaud La , Rosen, Howard J. , Johnson, Sterling C. , Christian, Bradley T. , Betthauser, Tobey J. , Landau, Susan , O’Bryant, Sid E. , Hansson, Oskar , Ossenkoppele, Rik

Alzheimer's & Dementia | January 8, 2026 | Volume: 21 | Issue: S2 | Pages: No page available

10.1002/alz70856_105387 Get It

Abstract Background Sex, education and race/ethnicity are all associated with risk of Alzheimer's disease dementia. Here, we assess the effects of self‐reported sex, educational attainment and race/ethnicity on amyloid‐positivity, and tau‐PET‐positivity in 12,048 (7,394 cognitively unimpaired [CU], 2,177 MCI, and 2,477 dementia) individuals from 42 cohorts worldwide. Method Logistic generalized estimating equations were used to estimate frequency of amyloid‐positivity (using cohort‐specific thresholds for amyloid‐PET [84%] or CSF) and tau‐PET‐positivity (cohort‐specific thresholds of 2SD above mean temporal uptake in amyloid‐negative controls). We assessed: i) sex and APOEε4 ( N = 10,098) associations, to complement earlier findings of a higher frequency of tau‐positivity in females, ii) effects of lower/higher education ( N = 10,970; cohort‐specific median‐split), and iii) effects of race/ethnicity (non‐Hispanic White [hereafter: White], N = 4880; Asian, N = 116; Black or African‐American [hereafter: Black], N = 353; Hispanic, N = 356, only from Northern‐American cohorts). Outcomes were frequency of amyloid‐positivity in CU individuals only, and tau‐PET‐positivity in both amyloid‐positive (AB+) CU and cognitively impaired (CI, i.e. MCI and dementia) individuals. Interaction effects on the relationship between age and amyloid/tau‐positivity were assessed and only retained in the models when significant. Result Female sex was associated with an APOEε4 ‐independent increased frequency of amyloid‐positivity (β=0.51[0.22], p = 0.02) in CU and increase of tau‐positivity in both AB+CU (β=0.27[0.08]) and AB+CI (β=0.37[0.08], both p <0.01). Remarkably, tau‐positivity frequencies of female APOEε4 non‐carriers were equivalent to male APOEε4 carriers in AB+CI (Figure 1). No significant sex* APOE interactions were observed. In CU, higher education was associated with lower amyloid‐positivity frequency (β=‐0.12[0.05], p = 0.02). In contrast, among AB+CU, there was an age*education interaction effect that indicated more pronounced age effects on tau‐positivity in individuals with higher education (age*education:β interaction =0.03[0.01], p <0.01). There were no education effects in AB+CI (Figure 2). In CU, an age*race/ethnicity interaction effect was observed across all non‐White groups compared to White (Hispanic:β interaction =‐0.05[0.01], p <0.01; Black:‐0.04[0.01], p <0.01; Asian:‐0.02[0.01], p = 0.04). This suggests that the impact of age on amyloid‐positivity was less pronounced in non‐White groups. Furthermore, in AB+CI, Hispanic ethnicity was related to higher tau‐positivity frequency than White (β=0.51[0.22], p = 0.02; Figure 3). Conclusion In this multi‐center initiative comprised of clinical and community‐based cohorts, we observed that self‐reported sex, educational attainment and race/ethnicity were related to positivity‐frequencies of Alzheimer's disease pathology.
X Chromosome Genetic Risk Across Sex, APOE*4, and Pleiotropic Traits Reveals Novel Alzheimer's Disease Mechanisms and Risk Genes
Cook, Noah, Yang, Chenyu, Wang, Ting‐Chen, Sherva, Richard, Zhang, Rui, Panizzon, Matthew S., Hauger, R. L., Gaziano, J. Michael, Koran, Mary Ellen I. , Mormino, Beth C., Logue, Mark W., Greicius, Michael D. , Program, the VA Million Veteran, FinnGen, Cook, Noah, Yang, Chenyu , Reid, Danielle Marie , Wang, Ting‐Chen , Le Guen, Yann , Cody, Karly A , Sherva, Richard , Zhang, Rui, Merritt, Victoria C. , Panizzon, Matthew S. , Gaziano, J. Michael , Dumitrescu, Logan , Archer, Derek B. , Hohman, Timothy J. , Logue, Mark W. , Napolioni, Valerio , Belloy, Michaël E.

Alzheimer's & Dementia | December 23, 2025 | Volume: 21 | Issue: S1 | Pages: No page available

10.1002/alz70855_098765 Get It

Abstract Background Our group recently performed the largest‐to‐date X‐chromosome wide association study (XWAS) of Alzheimer's disease (AD). Here, we expand on this with additional samples, novel sex‐ and APOE *4‐stratified analyses, and evaluate escape from random X chromosome inactivation (eXCI) to better capture female‐biased risk genes. We then integrate these results with XWASs of various AD‐relevant traits to elucidate shared genetic signals and ultimately uncover novel AD risk genes and mechanisms. Method The AD XWAS design is shown in Figure 1A and includes random X chromosome inactivation (rXCI) and eXCI models. We further assessed suggestive AD signals ( p <1x10 ‐3 ) for pleiotropy using genetic colocalization with 2852 AD‐relevant traits (Figure 2A). Loci exhibiting X chromosome‐wide significance ( p <1x10 ‐5 ) or apparent trait colocalization underwent quantitative trait locus (QTL) colocalization analyses across 62 tissues and cell types to functionally prioritize AD risk genes. Result Full sample analyses reproduced Belloy et al. 2024 findings and identified 3 additional loci, including a male‐specific signal near GLUD2 that impacts glutamate/glutamine metabolism (Figure 1B). APOE *4‐stratified analyses revealed 9 additional loci, including 3 eXCI hits in APOE *4 carriers (Figure 1C‐D). Pleiotropy colocalization identified 38 loci, most being novel and many driven by eXCI and/or female‐specific AD XWAS, including MOSPD2, PNMA3 and GABRE loci that showed extensive colocalization with brain imaging traits (Figure 2B). The most significant XWAS locus, SLC9A7 , colocalized with total testosterone, HDL‐C, and various brain imaging traits. Only the NLGN4X locus colocalized with amyloid positivity, linking its proposed role in synaptic dysfunction to amyloid pathology. The locus at KDM6A , previously implicated as an AD resilience gene, colocalized with a functional MRI (fMRI) phenotype. QTL colocalization analyses confirmed gene prioritizations in Belloy et al. 2024, and additionally provided support for PNMA3 , an antigen highly expressed in the brain, and 3 APOE ‐stratified loci, including ACLS4 , which impacts lipid metabolism. Conclusion This study provides novel insights into biological mechanisms that contribute to X‐linked genetic risk for AD in an APOE *4 and sex‐specific manner, identifying various novel risk loci. Notably, 29 female‐biased risk loci were uncovered, which may shed light on sex disparities in AD. Overall, our findings will aid in elucidating AD pathways and drug targets relevant to personalized medicine.