Citations 2
Patterns in NIA Health Disparities Research Framework Domains and AD‐Plasma Biomarkers
Vassilaki, Maria , Aakre, Jeremiah, Lesnick, Timothy G. , Graff‐Radford, Jonathan, Mosley, Thomas H., Windham, B Gwen, Griswold, Michael E., Lowe, Val J. , Petersen, Ronald C., Aakre, Jeremiah A. , Castillo, Anna , Kremers, Walter K. , Algeciras‐Schimnich, Alicia , Graff‐Radford, Jonathan , Knopman, David S. , Windham, B. Gwen , Jack, Clifford R. , Petersen, Ronald C. , Vemuri, Prashanthi
Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S8 | Pages: No page available
AbstractBackgroundThe NIA Health Disparities Research (NIA‐HD) Framework organizes factors in four domains (i.e., environmental, sociocultural, behavioral, and biological), which work together over the lifetime to influence health and health disparities.MethodIn previous work, we employed a 2‐stage approach using factor and principal component (PC) analyses to identify patterns of factors in the domains of the NIA‐HD Framework. We found three PCs that identified related groupings from more than one NIA‐HD domain. PC1: retirement status, residence type, multivitamin use, heart disease, Charlson comorbidity index, walking/balance difficulties, and Beck Depression Inventory (BDI)‐II questions – mainly from the somatic dimension; PC2: physical activity/exercise, social and group activities, education, occupation, cardiometabolic risk factors, and self‐rated health; PC3: national and state area deprivation index ranking and BDI‐II questions – mainly in the cognitive dimension. Age and sex‐adjusted linear regression models were used to assess the cross‐sectional association of each PC with AD‐plasma biomarkers measured using the Quanterix Simoa platform in the Mayo Clinic Study of Aging (MCSA) participants. AD‐plasma biomarkers included Aβ 42/40, phosphorylated‐tau 181 (p‐tau181), plasma glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL). All analyses were considered statistically significant at a p <0.05.ResultThere were 1300 cognitively unimpaired participants, 50 years old or older, with available plasma biomarkers (mean age (SD) 68.6 (9.5) years; 49.1% were female) at the current study baseline. PC1 and PC3 were associated with higher NfL and p‐tau 181 values (p<0.05). PC1 and PC2 were associated with higher GFAP values (p<0.05). No PCs were associated with the Aβ 42/40 ratio. Findings were mostly similar after additionally adjusting for global cognitive performance and chronic kidney disease.ConclusionWe found that patterns in a wide range of environmental, sociocultural, behavioral, and biological factors were associated with AD plasma biomarkers. Longitudinal studies are warranted to validate findings and support multi‐faceted approaches to address health disparities and achieve disease delay and prevention.
Shared Genetic Risk Factors of Intracranial, Abdominal, and Thoracic Aneurysms
Hof, Femke N. G. van ’t, Ruigrok, Ynte M. , Lee, Cue Hyunkyu , Ripke, Stephan , Anderson, Graig, Baas, Annette F., Blankensteijn, Jan D. , Böttinger, Erwin P. , Bown, Matthew J. , Broderick, Joseph P., Bijlenga, Philippe , Crosslin, David R. , Ebeling, Christian , Eriksson, Johan G. , Fornage, Myriam , Foroud, Tatiana, Fraunberg, Mikael von und zu , Friedrich, Christoph M. , Gaál, Emília Ilona, Gottesman, Omri, Guo, Dongchuan , Harrison, Seamus C. , Hernesniemi, Juha , Hofman, Albert , Inoue, Ituro , Jääskeläinen, Juha E. , Kiemeney, Lambertus A. , Kivisaari, Riku , Ko, Nerissa , Koskinen, Seppo, Kubo, Michiaki , Kuivaniemi, Helena , Laakso, Aki , Lehto, Hanna, LeMaire, Scott A. , Malinowski, Jennifer , McCarty, Catherine A. , Mosley, Thomas H., Nakaoka, Hirofumi , Peissig, Peggy , Pera, Joanna , Rasmussen‐Torvik, Laura J. , Ritchie, Marylyn D. , Rivadeneira, Fernando , Rij, André M. van , Santos‐Cortez, Regie Lyn P., Saratzis, Athanasios , Słowik, Agnieszka , Tromp, Gerard , Uitterlinden, André G. , Vermeulen, Sita H. , Wang, Gao T., Han, Buhm , Bakker, Paul I. W. de , Verissimo, Ana Raquel, Wright, Benjamin J., Bumpstead, Suzannah, Grétarsdóttir, Sólveig , Badger, Stephen A., Child, Anne H. , Cockerill, Gillian, Hafez, Hany , Futers, Simon , Sohrabi, Soroush, Smith, Alberto, Thompson, Matthew M., Bockxmeer, Frank M. van, Matthíasson, Stefán E., Þorsteinsdóttir, Unnur , Graaf, Jacqueline de , Palmen, Jutta, Lindholt, Jes S. , Bradley, Declan , Waltham, Matthew, Gwilliam, Rhian, Golledge, Jonathan , Eriksson, Per , Stefánsson, Kāri , Thompson, John R., Humphries, Steve E. , Sayers, Robert D., Deloukas, Panos , Samani, Nilesh J. , Phillip, L. Victoria, Hill, Geraldine B., Williams, Michael , Thomson, Ian , Krysa, Jo, Wilkins, Gerard , Vasudevan, Thodor M., Lewis, David R. , Blair, Ross D., Hill, Andrew A., de Andrade, Mariza, Ripke, Stephan , Andrade, Mariza de , Broderick, Joseph, Carrell, David , Crawford, Dana C. , Jones, Gregory T. , Kullo, Iftikhar J. , Kurki, Mitja , Lai, Dongbing , Leal, Suzanne M. , Low, Siew‐Kee , Milewicz, Dianna M. , Nakamura, Yusuke , Niemela, Mika R. , Pacheco, Jennifer A. , Takahashi, Atsushi , Verma, Shefali S. , Rinkel, Gabriël J.E. , Clough, Rachel E. , Scott, D. Julian A., Þorleifsson, Guðmar , Teijink, Joep A.W. , Wijmenga, Cisca , Smith, Andrew J P , Edkins, Sarah , Hunt, Sarah E , Potter, Simon , Norman, Paul E , Powell, Janet T. , Merriman, Tony Raymond , Kiemeney, Lambertus A , Bijlenga, Philippe , Lindholt, Jes Sanddal , Malinowski, Jennnifer , Rasmussen-Torvik, Laura J , Eriksson, Per
Journal of the American Heart Association | July 15, 2016 | Volume: 5 | Issue: 7 | Pages: No page available
Background Intracranial aneurysms ( IAs ), abdominal aortic aneurysms ( AAAs ), and thoracic aortic aneurysms ( TAAs ) all have a familial predisposition. Given that aneurysm types are known to co‐occur, we hypothesized that there may be shared genetic risk factors for IAs , AAAs, and TAAs . Methods and Results We performed a mega‐analysis of 1000 Genomes Project‐imputed genome‐wide association study ( GWAS ) data of 4 previously published aneurysm cohorts: 2 IA cohorts (in total 1516 cases, 4305 controls), 1 AAA cohort (818 cases, 3004 controls), and 1 TAA cohort (760 cases, 2212 controls), and observed associations of 4 known IA , AAA , and/or TAA risk loci (9p21, 18q11, 15q21, and 2q33) with consistent effect directions in all 4 cohorts. We calculated polygenic scores based on IA ‐, AAA ‐, and TAA ‐associated SNP s and tested these scores for association to case‐control status in the other aneurysm cohorts; this revealed no shared polygenic effects. Similarly, linkage disequilibrium–score regression analyses did not show significant correlations between any pair of aneurysm subtypes. Last, we evaluated the evidence for 14 previously published aneurysm risk single‐nucleotide polymorphisms through collaboration in extended aneurysm cohorts, with a total of 6548 cases and 16 843 controls ( IA ) and 4391 cases and 37 904 controls ( AAA ), and found nominally significant associations for IA risk locus 18q11 near RBBP 8 to AAA (odds ratio [ OR ]=1.11; P =4.1×10 −5 ) and for TAA risk locus 15q21 near FBN 1 to AAA ( OR =1.07; P =1.1×10 −3 ). Conclusions Although there was no evidence for polygenic overlap between IAs , AAAs , and TAAs , we found nominally significant effects of two established risk loci for IAs and TAAs in AAAs . These two loci will require further replication.