@article {8658, title = {Natural killer cells, gamma delta T cells and classical monocytes are associated with systolic blood pressure in the multi-ethnic study of atherosclerosis (MESA).}, journal = {BMC Cardiovasc Disord}, volume = {21}, year = {2021}, month = {2021 Jan 22}, pages = {45}, abstract = {

BACKGROUND: Hypertension is a major source of cardiovascular morbidity and mortality. Recent evidence from mouse models, genetic, and cross-sectional human studies suggest increased proportions of selected immune cell subsets may be associated with levels of systolic blood pressure (SBP).

METHODS: We assayed immune cells from cryopreserved samples collected at the baseline examination (2000-2002) from 1195 participants from the multi-ethnic study of atherosclerosis (MESA). We used linear mixed models, with adjustment for age, sex, race/ethnicity, smoking, exercise, body mass index, education, diabetes, and cytomegalovirus titers, to estimate the associations between 30 immune cell subsets (4 of which were a priori hypotheses) and repeated measures of SBP (baseline and up to four follow-up measures) over 10~years. The analysis provides estimates of the association with blood pressure level.

RESULTS: The mean age of the MESA participants at baseline was 64 {\textpm} 10~years and 53\% were male. A one standard deviation (1-SD) increment in the proportion of γδ T cells was associated with 2.40~mmHg [95\% confidence interval (CI) 1.34-3.42] higher average systolic blood pressure; and for natural killer cells, a 1-SD increment was associated with 1.88~mmHg (95\% CI 0.82-2.94) higher average level of systolic blood pressure. A 1-SD increment in classical monocytes (CD14CD16) was associated with 2.01 mmHG (95\% CI 0.79-3.24) lower average systolic blood pressure. There were no associations of CD4 T helper cell subsets with average systolic blood pressure.

CONCLUSION: These findings suggest that the innate immune system plays a role in levels of SBP whereas there were no associations with adaptive immune cells.

}, issn = {1471-2261}, doi = {10.1186/s12872-021-01857-2}, author = {Delaney, Joseph A C and Olson, Nels C and Sitlani, Colleen M and Fohner, Alison E and Huber, Sally A and Landay, Alan L and Heckbert, Susan R and Tracy, Russell P and Psaty, Bruce M and Feinstein, Matt and Doyle, Margaret F} } @article {8919, title = {Pre-Statistical Considerations for Harmonization of Cognitive Instruments: Harmonization of ARIC, CARDIA, CHS, FHS, MESA, and NOMAS.}, journal = {J Alzheimers Dis}, volume = {83}, year = {2021}, month = {2021}, pages = {1803-1813}, abstract = {

BACKGROUND: Meta-analyses of individuals{\textquoteright} cognitive data are increasing to investigate the biomedical, lifestyle, and sociocultural factors that influence cognitive decline and dementia risk. Pre-statistical harmonization of cognitive instruments is a critical methodological step for accurate cognitive data harmonization, yet specific approaches for this process are unclear.

OBJECTIVE: To describe pre-statistical harmonization of cognitive instruments for an individual-level meta-analysis in the blood pressure and cognition (BP COG) study.

METHODS: We identified cognitive instruments from six cohorts (the Atherosclerosis Risk in Communities Study, Cardiovascular Health Study, Coronary Artery Risk Development in Young Adults study, Framingham Offspring Study, Multi-Ethnic Study of Atherosclerosis, and Northern Manhattan Study) and conducted an extensive review of each item{\textquoteright}s administration and scoring procedures, and score distributions.

RESULTS: We included 153 cognitive instrument items from 34 instruments across the six cohorts. Of these items, 42\%were common across >=2 cohorts. 86\%of common items showed differences across cohorts. We found administration, scoring, and coding differences for seemingly equivalent items. These differences corresponded to variability across cohorts in score distributions and ranges. We performed data augmentation to adjust for differences.

CONCLUSION: Cross-cohort administration, scoring, and procedural differences for cognitive instruments are frequent and need to be assessed to address potential impact on meta-analyses and cognitive data interpretation. Detecting and accounting for these differences is critical for accurate attributions of cognitive health across cohort studies.

}, issn = {1875-8908}, doi = {10.3233/JAD-210459}, author = {Brice{\~n}o, Emily M and Gross, Alden L and Giordani, Bruno J and Manly, Jennifer J and Gottesman, Rebecca F and Elkind, Mitchell S V and Sidney, Stephen and Hingtgen, Stephanie and Sacco, Ralph L and Wright, Clinton B and Fitzpatrick, Annette and Fohner, Alison E and Mosley, Thomas H and Yaffe, Kristine and Levine, Deborah A} } @article {9175, title = {Association of immune cell subsets with incident heart failure in two population-based cohorts.}, journal = {ESC Heart Fail}, year = {2022}, month = {2022 Sep 12}, abstract = {

AIMS: Circulating inflammatory markers are associated with incident heart failure (HF), but prospective data on associations of immune cell subsets with incident HF are lacking. We determined the associations of immune cell subsets with incident HF as well as HF subtypes [with reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF)].

METHODS AND RESULTS: Peripheral blood immune cell subsets were measured in adults from the Multi-Ethnic Study of Atherosclerosis (MESA) and Cardiovascular Health Study (CHS). Cox proportional hazard models adjusted for demographics, HF risk factors, and cytomegalovirus serostatus were used to evaluate the association of the immune cell subsets with incident HF. The average age of the MESA cohort at the time of immune cell measurements was 63.0~{\textpm}~10.4~years with 51\% women, and in the CHS cohort, it was 79.6~{\textpm}~4.4~years with 62\% women. In the meta-analysis of CHS and MESA, a higher proportion of CD4+ T helper (Th) 1 cells (per one standard deviation) was associated with a lower risk of incident HF [hazard ratio (HR) 0.91, (95\% CI 0.83-0.99), P~=~0.03]. Specifically, higher proportion of CD4+ Th1 cells was significantly associated with a lower risk of HFrEF [HR 0.73, (95\% CI 0.62-0.85), <0.001] after correction for multiple testing. No association was observed with HFpEF. No other cell subsets were associated with incident HF.

CONCLUSIONS: We observed that higher proportions of CD4+ Th1 cells were associated with a lower risk of incident HFrEF in two distinct population-based cohorts, with similar effect sizes in both cohorts demonstrating replicability. Although unexpected, the consistency of this finding across cohorts merits further investigation.

}, issn = {2055-5822}, doi = {10.1002/ehf2.14140}, author = {Sinha, Arjun and Sitlani, Colleen M and Doyle, Margaret F and Fohner, Alison E and B{\r u}zkov{\'a}, Petra and Floyd, James S and Huber, Sally A and Olson, Nels C and Njoroge, Joyce N and Kizer, Jorge R and Delaney, Joseph A and Shah, Sanjiv S and Tracy, Russell P and Psaty, Bruce and Feinstein, Matthew} } @article {8990, title = {Association of Serum Neurofilament Light Chain Concentration and MRI Findings in Older Adults: The Cardiovascular Health Study.}, journal = {Neurology}, volume = {98}, year = {2022}, month = {2022 Mar 01}, pages = {e903-e911}, abstract = {

BACKGROUND AND OBJECTIVES: Neurofilament light chain (NfL) in blood is a sensitive but nonspecific marker of brain injury. This study sought to evaluate associations between NfL concentration and MRI findings of vascular brain injury in older adults.

METHODS: A longitudinal cohort study included 2 cranial MRI scans performed about 5 years apart and assessed for white matter hyperintensities (WMH) and infarcts. About 1 year before their second MRI, 1,362 participants (median age 77 years, 61.4\% women) without a history of TIA or stroke had measurement of 4 biomarkers: NfL, total tau, glial fibrillary acidic protein (GFAP), and ubiquitin carboxyl-terminal hydrolase L1. Most (n = 1,279) also had the first MRI scan, and some (n = 633) had quantitative measurements of hippocampal and WMH. In primary analyses, we assessed associations of NfL with a 10-point white matter grade (WMG) and prevalent infarcts on second MRI and with worsening WMG and incident infarct comparing the 2 scans. A value <0.0125 (0.05/4) was considered significant for these analyses. We also assessed associations with hippocampal and WMH volume.

RESULTS: In fully adjusted models, log(NfL) concentration was associated with WMG (β = 0.27; = 2.3 {\texttimes} 10) and worsening WMG (relative risk [RR] 1.24; = 0.0022), but less strongly with prevalent brain infarcts (RR 1.18; = 0.013) and not with incident brain infarcts (RR 1.18; = 0.18). Associations were also present with WMH volume (β = 2,242.9, = 0.0036). For the other 3 biomarkers, the associations for log (GFAP) concentration with WMG and worsening WMG were significant.

DISCUSSION: Among older adults without a history of stroke, higher serum NfL concentration was associated with covert MRI findings of vascular brain injury, especially the burden of WMH and its worsening. Whether these results offer opportunities for the use of NfL as a noninvasive biomarker of WMH or to control vascular risk factors remains to be determined.

}, issn = {1526-632X}, doi = {10.1212/WNL.0000000000013229}, author = {Fohner, Alison E and Bartz, Traci M and Tracy, Russell P and Adams, Hieab H H and Bis, Joshua C and Djouss{\'e}, Luc and Satizabal, Claudia L and Lopez, Oscar L and Seshadri, Sudha and Mukamal, Kenneth J and Kuller, Lewis H and Psaty, Bruce M and Longstreth, W T} } @article {9169, title = {Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning.}, journal = {Mol Psychiatry}, year = {2022}, month = {2022 Aug 16}, abstract = {

Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.

}, issn = {1476-5578}, doi = {10.1038/s41380-022-01710-8}, author = {Lahti, Jari and Tuominen, Samuli and Yang, Qiong and Pergola, Giulio and Ahmad, Shahzad and Amin, Najaf and Armstrong, Nicola J and Beiser, Alexa and Bey, Katharina and Bis, Joshua C and Boerwinkle, Eric and Bressler, Jan and Campbell, Archie and Campbell, Harry and Chen, Qiang and Corley, Janie and Cox, Simon R and Davies, Gail and De Jager, Philip L and Derks, Eske M and Faul, Jessica D and Fitzpatrick, Annette L and Fohner, Alison E and Ford, Ian and Fornage, Myriam and Gerring, Zachary and Grabe, Hans J and Grodstein, Francine and Gudnason, Vilmundur and Simonsick, Eleanor and Holliday, Elizabeth G and Joshi, Peter K and Kajantie, Eero and Kaprio, Jaakko and Karell, Pauliina and Kleineidam, Luca and Knol, Maria J and Kochan, Nicole A and Kwok, John B and Leber, Markus and Lam, Max and Lee, Teresa and Li, Shuo and Loukola, Anu and Luck, Tobias and Marioni, Riccardo E and Mather, Karen A and Medland, Sarah and Mirza, Saira S and Nalls, Mike A and Nho, Kwangsik and O{\textquoteright}Donnell, Adrienne and Oldmeadow, Christopher and Painter, Jodie and Pattie, Alison and Reppermund, Simone and Risacher, Shannon L and Rose, Richard J and Sadashivaiah, Vijay and Scholz, Markus and Satizabal, Claudia L and Schofield, Peter W and Schraut, Katharina E and Scott, Rodney J and Simino, Jeannette and Smith, Albert V and Smith, Jennifer A and Stott, David J and Surakka, Ida and Teumer, Alexander and Thalamuthu, Anbupalam and Trompet, Stella and Turner, Stephen T and van der Lee, Sven J and Villringer, Arno and V{\"o}lker, Uwe and Wilson, Robert S and Wittfeld, Katharina and Vuoksimaa, Eero and Xia, Rui and Yaffe, Kristine and Yu, Lei and Zare, Habil and Zhao, Wei and Ames, David and Attia, John and Bennett, David A and Brodaty, Henry and Chasman, Daniel I and Goldman, Aaron L and Hayward, Caroline and Ikram, M Arfan and Jukema, J Wouter and Kardia, Sharon L R and Lencz, Todd and Loeffler, Markus and Mattay, Venkata S and Palotie, Aarno and Psaty, Bruce M and Ramirez, Alfredo and Ridker, Paul M and Riedel-Heller, Steffi G and Sachdev, Perminder S and Saykin, Andrew J and Scherer, Martin and Schofield, Peter R and Sidney, Stephen and Starr, John M and Trollor, Julian and Ulrich, William and Wagner, Michael and Weir, David R and Wilson, James F and Wright, Margaret J and Weinberger, Daniel R and Debette, Stephanie and Eriksson, Johan G and Mosley, Thomas H and Launer, Lenore J and van Duijn, Cornelia M and Deary, Ian J and Seshadri, Sudha and R{\"a}ikk{\"o}nen, Katri} } @article {9090, title = {Monocyte subsets, T cell activation profiles, and stroke in men and women: The Multi-Ethnic Study of Atherosclerosis and Cardiovascular Health Study.}, journal = {Atherosclerosis}, volume = {351}, year = {2022}, month = {2022 06}, pages = {18-25}, abstract = {

BACKGROUND AND AIMS: Despite mechanistic data implicating unresolving inflammation in stroke pathogenesis, data regarding circulating immune cell phenotypes - key determinants of inflammation propagation versus resolution - and incident stroke are lacking. Therefore, we aimed to comprehensively define associations of circulating immune phenotypes and activation profiles with incident stroke.

METHODS: We investigated circulating leukocyte phenotypes and activation profiles with incident adjudicated stroke in 2104 diverse adults from the Multi-Ethnic Study of Atherosclerosis (MESA) followed over a median of 16.6 years. Cryopreserved cells from the MESA baseline examination were thawed and myeloid and lymphoid lineage cell subsets were measured using polychromatic flow cytometry and intracellular cytokine activation staining. We analyzed multivariable-adjusted associations of cell phenotypes, as a proportion of parent cell subsets, with incident stroke (overall) and ischemic stroke using Cox regression models.

RESULTS: We observed associations of intermediate monocytes, early-activated CD4 T cells, and both CD4 and CD8 T cells producing interleukin-4 after cytokine stimulation (T and T, respectively) with higher risk for incident stroke; effect sizes ranged from 35\% to 62\% relative increases in risk for stroke. Meanwhile, differentiated and memory T cell phenotypes were associated with lower risk for incident stroke. In sex-stratified analyses, positive and negative associations were especially strong among men but null among women.

CONCLUSIONS: Circulating IL-4 producing T cells and intermediate monocytes were significantly associated with incident stroke over nearly two decades of follow-up. These associations were stronger among men and not among women. Further translational studies are warranted to define more precise targets for prognosis and intervention.

}, keywords = {Atherosclerosis, CD4-Positive T-Lymphocytes, CD8-Positive T-Lymphocytes, Cytokines, Female, Follow-Up Studies, Humans, Incidence, Inflammation, Interleukin-4, Ischemic Stroke, Lymphocyte Activation, Male, Monocytes, Stroke, T-Lymphocyte Subsets}, issn = {1879-1484}, doi = {10.1016/j.atherosclerosis.2022.05.007}, author = {Feinstein, Matthew J and B{\r u}zkov{\'a}, Petra and Olson, Nels C and Doyle, Margaret F and Sitlani, Colleen M and Fohner, Alison E and Huber, Sally A and Floyd, James and Sinha, Arjun and Thorp, Edward B and Landay, Alan and Freiberg, Matthew S and Longstreth, William T and Tracy, Russell P and Psaty, Bruce M and Delaney, Joseph Ac} } @article {9086, title = {Proteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing.}, journal = {Eur J Epidemiol}, year = {2022}, month = {2022 Jul 05}, abstract = {

BACKGROUND: In the last decade, genomic studies have identified and replicated thousands of genetic associations with measures of health and disease and contributed to the understanding of the etiology of a variety of health conditions. Proteins are key biomarkers in clinical medicine and often drug-therapy targets. Like genomics, proteomics can advance our understanding of biology.

METHODS AND RESULTS: In the setting of the Cardiovascular Health Study (CHS), a cohort study of older adults, an aptamer-based method that has high sensitivity for low-abundance proteins was used to assay 4979 proteins in frozen, stored plasma from 3188 participants (61\% women, mean age 74~years). CHS provides active support, including central analysis, for seven phenotype-specific working groups (WGs). Each CHS WG is led by one or two senior investigators and includes 10 to 20 early or mid-career scientists. In this setting of mentored access, the proteomic data and analytic methods are widely shared with the WGs and investigators so that they may evaluate associations between baseline levels of circulating proteins and the incidence of a variety of health outcomes in prospective cohort analyses. We describe the design of CHS, the CHS Proteomics Study, characteristics of participants, quality control measures, and structural characteristics of the data provided to CHS WGs. We additionally highlight plans for validation and replication of novel proteomic associations.

CONCLUSION: The CHS Proteomics Study offers an opportunity for collaborative data sharing to improve our understanding of the etiology of a variety of health conditions in older adults.

}, issn = {1573-7284}, doi = {10.1007/s10654-022-00888-z}, author = {Austin, Thomas R and McHugh, Caitlin P and Brody, Jennifer A and Bis, Joshua C and Sitlani, Colleen M and Bartz, Traci M and Biggs, Mary L and Bansal, Nisha and B{\r u}zkov{\'a}, Petra and Carr, Steven A and deFilippi, Christopher R and Elkind, Mitchell S V and Fink, Howard A and Floyd, James S and Fohner, Alison E and Gerszten, Robert E and Heckbert, Susan R and Katz, Daniel H and Kizer, Jorge R and Lemaitre, Rozenn N and Longstreth, W T and McKnight, Barbara and Mei, Hao and Mukamal, Kenneth J and Newman, Anne B and Ngo, Debby and Odden, Michelle C and Vasan, Ramachandran S and Shojaie, Ali and Simon, Noah and Smith, George Davey and Davies, Neil M and Siscovick, David S and Sotoodehnia, Nona and Tracy, Russell P and Wiggins, Kerri L and Zheng, Jie and Psaty, Bruce M} } @article {9484, title = {WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE.}, journal = {medRxiv}, year = {2023}, month = {2023 Aug 22}, abstract = {

Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51\% were of non-European population groups. We discovered 18 BMI-associated signals ( < 5 {\texttimes} 10 ). Notably, we identified and replicated a novel low frequency single nucleotide polymorphism (SNP) in that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the and loci. Our work demonstrates the benefits of combining WGS and diverse cohorts in expanding current catalog of variants and genes confer risk for obesity, bringing us one step closer to personalized medicine.

}, doi = {10.1101/2023.08.21.23293271}, author = {Zhang, Xinruo and Brody, Jennifer A and Graff, Mariaelisa and Highland, Heather M and Chami, Nathalie and Xu, Hanfei and Wang, Zhe and Ferrier, Kendra and Chittoor, Geetha and Josyula, Navya S and Li, Xihao and Li, Zilin and Allison, Matthew A and Becker, Diane M and Bielak, Lawrence F and Bis, Joshua C and Boorgula, Meher Preethi and Bowden, Donald W and Broome, Jai G and Buth, Erin J and Carlson, Christopher S and Chang, Kyong-Mi and Chavan, Sameer and Chiu, Yen-Feng and Chuang, Lee-Ming and Conomos, Matthew P and DeMeo, Dawn L and Du, Margaret and Duggirala, Ravindranath and Eng, Celeste and Fohner, Alison E and Freedman, Barry I and Garrett, Melanie E and Guo, Xiuqing and Haiman, Chris and Heavner, Benjamin D and Hidalgo, Bertha and Hixson, James E and Ho, Yuk-Lam and Hobbs, Brian D and Hu, Donglei and Hui, Qin and Hwu, Chii-Min and Jackson, Rebecca D and Jain, Deepti and Kalyani, Rita R and Kardia, Sharon L R and Kelly, Tanika N and Lange, Ethan M and LeNoir, Michael and Li, Changwei and Marchand, Loic Le and McDonald, Merry-Lynn N and McHugh, Caitlin P and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey and O{\textquoteright}Donnell, Christopher J and Palmer, Nicholette D and Pankow, James S and Perry, James A and Peters, Ulrike and Preuss, Michael H and Rao, D C and Regan, Elizabeth A and Reupena, Sefuiva M and Roden, Dan M and Rodriguez-Santana, Jose and Sitlani, Colleen M and Smith, Jennifer A and Tiwari, Hemant K and Vasan, Ramachandran S and Wang, Zeyuan and Weeks, Daniel E and Wessel, Jennifer and Wiggins, Kerri L and Wilkens, Lynne R and Wilson, Peter W F and Yanek, Lisa R and Yoneda, Zachary T and Zhao, Wei and Z{\"o}llner, Sebastian and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Blangero, John and Boerwinkle, Eric and Burchard, Esteban G and Carson, April P and Chasman, Daniel I and Chen, Yii-Der Ida and Curran, Joanne E and Fornage, Myriam and Gordeuk, Victor R and He, Jiang and Heckbert, Susan R and Hou, Lifang and Irvin, Marguerite R and Kooperberg, Charles and Minster, Ryan L and Mitchell, Braxton D and Nouraie, Mehdi and Psaty, Bruce M and Raffield, Laura M and Reiner, Alexander P and Rich, Stephen S and Rotter, Jerome I and Shoemaker, M Benjamin and Smith, Nicholas L and Taylor, Kent D and Telen, Marilyn J and Weiss, Scott T and Zhang, Yingze and Costa, Nancy Heard- and Sun, Yan V and Lin, Xihong and Cupples, L Adrienne and Lange, Leslie A and Liu, Ching-Ti and Loos, Ruth J F and North, Kari E and Justice, Anne E} } @article {9781, title = {Plasma proteome-wide analysis of cerebral small vessel disease identifies novel biomarkers and disease pathways.}, journal = {medRxiv}, year = {2024}, month = {2024 Oct 08}, abstract = {

Cerebral small vessel disease (SVD), as defined by neuroimaging characteristics such as white matter hyperintensities (WMHs), cerebral microhemorrhages (CMHs), and lacunar infarcts, is highly prevalent and has been associated with dementia risk and other clinical sequelae. Although conditions such as hypertension are known to contribute to SVD, little is known about the diverse set of subclinical biological processes and molecular mediators that may also influence the development and progression of SVD. To better understand the mechanisms underlying SVD and to identify novel SVD biomarkers, we used a large-scale proteomic platform to relate 4,877 plasma proteins to MRI-defined SVD characteristics within 1,508 participants of the Atherosclerosis Risk in Communities (ARIC) Study cohort. Our proteome-wide analysis of older adults (mean age: 76) identified 13 WMH-associated plasma proteins involved in synaptic function, endothelial integrity, and angiogenesis, two of which remained associated with late-life WMH volume when measured nearly 20 years earlier, during midlife. We replicated the relationship between 9 candidate proteins and WMH volume in one or more external cohorts; we found that 11 of the 13 proteins were associated with risk for future dementia; and we leveraged publicly available proteomic data from brain tissue to demonstrate that a subset of WMH-associated proteins was differentially expressed in the context of cerebral atherosclerosis, pathologically-defined Alzheimer{\textquoteright}s disease, and cognitive decline. Bidirectional two-sample Mendelian randomization analyses examined the causal relationships between candidate proteins and WMH volume, while pathway and network analyses identified discrete biological processes (lipid/cholesterol metabolism, NF-kB signaling, hemostasis) associated with distinct forms of SVD. Finally, we synthesized these findings to identify two plasma proteins, oligodendrocyte myelin glycoprotein (OMG) and neuronal pentraxin receptor (NPTXR), as top candidate biomarkers for elevated WMH volume and its clinical manifestations.

}, doi = {10.1101/2024.10.07.24314972}, author = {Gomez, Gabriela T and Shi, Liu and Fohner, Alison E and Chen, Jingsha and Yang, Yunju and Fornage, Myriam and Duggan, Michael R and Peng, Zhongsheng and Daya, Gulzar N and Tin, Adrienne and Schlosser, Pascal and Longstreth, W T and Kalani, Rizwan and Sharma, Malveeka and Psaty, Bruce M and Nevado-Holgado, Alejo J and Buckley, Noel J and Gottesman, Rebecca F and Lutsey, Pamela L and Jack, Clifford R and Sullivan, Kevin J and Mosley, Thomas and Hughes, Timothy M and Coresh, Josef and Walker, Keenan A} } @article {9912, title = {A Large-Scale Genome-wide Association Study of Blood Pressure Accounting for Gene-Depressive Symptomatology Interactions in 564,680 Individuals from Diverse Populations.}, journal = {Res Sq}, year = {2025}, month = {2025 Feb 17}, abstract = {

BACKGROUND: Gene-environment interactions may enhance our understanding of hypertension. Our previous study highlighted the importance of considering psychosocial factors in gene discovery for blood pressure (BP) but was limited in statistical power and population diversity. To address these challenges, we conducted a multi-population genome-wide association study (GWAS) of BP accounting for gene-depressive symptomatology (DEPR) interactions in a larger and more diverse sample.

RESULTS: Our study included 564,680 adults aged 18 years or older from 67 cohorts and 4 population backgrounds (African (5\%), Asian (7\%), European (85\%), and Hispanic (3\%)). We discovered seven novel gene-DEPR interaction loci for BP traits. These loci mapped to genes implicated in neurogenesis (), lipid metabolism (), neuronal apoptosis (), and synaptic activity (). We also identified evidence for gene-DEPR interaction at nine known BP loci, further suggesting links between mood disturbance and BP regulation. Of the 16 identified loci, 11 loci were derived from African, Asian, or Hispanic populations. Post-GWAS analyses prioritized 36 genes, including genes involved in synaptic functions () and neuronal signaling (). Integrative druggability analyses identified 11 druggable candidate gene targets, including genes implicated in pathways linked to mood disorders as well as gene products targeted by known antihypertensive drugs.

CONCLUSIONS: Our findings emphasize the importance of considering gene-DEPR interactions on BP, particularly in non-European populations. Our prioritized genes and druggable targets highlight biological pathways connecting mood disorders and hypertension and suggest opportunities for BP drug repurposing and risk factor prevention, especially in individuals with DEPR.

}, issn = {2693-5015}, doi = {10.21203/rs.3.rs-6025759/v1}, author = {Lee, Songmi and Miller, Clint L and Bentley, Amy R and Brown, Michael R and Nagarajan, Pavithra and Noordam, Raymond and Morrison, John and Schwander, Karen and Westerman, Kenneth and Kho, Minjung and Kraja, Aldi T and de Vries, Paul S and Ammous, Farah and Aschard, Hughes and Bartz, Traci M and Do, Anh and Dupont, Charles T and Feitosa, Mary F and Gudmundsdottir, Valborg and Guo, Xiuqing and Harris, Sarah E and Hikino, Keiko and Huang, Zhijie and Lefevre, Christophe and Lyytik{\"a}inen, Leo-Pekka and Milaneschi, Yuri and Nardone, Giuseppe Giovanni and Santin, Aurora and Schmidt, Helena and Shen, Botong and Sofer, Tamar and Sun, Quan and Tan, Ye An and Tang, Jingxian and Th{\'e}riault, S{\'e}bastien and van der Most, Peter J and Ware, Erin B and Weiss, Stefan and Ya Xing, Wang and Yu, Chenglong and Zhao, Wei and Ansari, Md Abu Yusuf and Anugu, Pramod and Attia, John R and Bazzano, Lydia A and Bis, Joshua C and Breyer, Max and Cade, Brian and Chen, Guanjie and Collins, Stacey and Corley, Janie and Davies, Gail and D{\"o}rr, Marcus and Du, Jiawen and Edwards, Todd L and Faquih, Tariq and Faul, Jessica D and Fohner, Alison E and Fretts, Amanda M and Gangireddy, Srushti and Gepner, Adam and Graff, Mariaelisa and Hofer, Edith and Homuth, Georg and Hood, Michelle M and Jie, Xu and K{\"a}h{\"o}nen, Mika and Kardia, Sharon Lr and Karvonen-Gutierrez, Carrie A and Launer, Lenore J and Levy, Daniel and Maheshwari, Maitreiyi and Martin, Lisa W and Matsuda, Koichi and McNeil, John J and Nolte, Ilja M and Okochi, Tomo and Raffield, Laura M and Raitakari, Olli T and Risch, Lorenz and Risch, Martin and Roux, Ana Diez and Ruiz-Narvaez, Edward A and Russ, Tom C and Saito, Takeo and Schreiner, Pamela J and Scott, Rodney J and Shikany, James and Smith, Jennifer A and Snieder, Harold and Spedicati, Beatrice and Tai, E Shyong and Taylor, Adele M and Taylor, Kent D and Tesolin, Paola and van Dam, Rob M and Wang, Rujia and Wenbin, Wei and Xie, Tian and Yao, Jie and Young, Kristin L and Zhang, Ruiyuan and Zonderman, Alan B and Concas, Maria Pina and Conen, David and Cox, Simon R and Evans, Michele K and Fox, Ervin R and de Las Fuentes, Lisa and Giri, Ayush and Girotto, Giorgia and Grabe, Hans J and Gu, Charles and Gudnason, Vilmundur and Harlow, Sioban D and Holliday, Elizabeth and Jost, Jonas B and Lacaze, Paul and Lee, Seunggeun and Lehtim{\"a}ki, Terho and Li, Changwei and Liu, Ching-Ti and Morrison, Alanna C and North, Kari E and Penninx, Brenda Wjh and Peyser, Patricia A and Province, Michael M and Psaty, Bruce M and Redline, Susan and Rosendaal, Frits R and Rotimi, Charles N and Rotter, Jerome I and Schmidt, Reinhold and Sim, Xueling and Terao, Chikashi and Weir, David R and Zhu, Xiaofeng and Franceschini, Nora and O{\textquoteright}Connell, Jeffrey R and Jaquish, Cashell E and Wang, Heming and Manning, Alisa and Munroe, Patricia B and Rao, Dabeeru C and Chen, Han and Gauderman, W James and Bierut, Laura and Winkler, Thomas W and Fornage, Myriam} } @article {9911, title = {Methylome-wide association analyses of lipids and modifying effects of behavioral factors in diverse race and ethnicity participants.}, journal = {Clin Epigenetics}, volume = {17}, year = {2025}, month = {2025 Apr 02}, pages = {54}, abstract = {

Circulating lipid concentrations are clinically associated with cardiometabolic diseases. The phenotypic variance explained by identified genetic variants remains limited, highlighting the importance of searching for additional factors beyond genetic sequence variants. DNA methylation has been linked to lipid concentrations in previous studies, although most of the studies harbored moderate sample sizes and exhibited underrepresentation of non-European ancestry populations. In addition, knowledge of nongenetic factors on lipid profiles is extremely limited. In the Population Architecture Using Genomics and Epidemiology (PAGE) Study, we performed methylome-wide association analysis on 9,561 participants from diverse race and ethnicity backgrounds for HDL-c, LDL-c, TC, and TG levels, and also tested interactions between smoking or alcohol intake and methylation in their association with lipid levels. We identified novel CpG sites at 16 loci (P < 1.18E-7) with successful replication on 3,215 participants. One additional novel locus was identified in the self-reported White participants (P = 4.66E-8). Although no additional CpG sites were identified in the genome-wide interaction analysis, 13 reported CpG sites showed significant heterogeneous association across smoking or alcohol intake strata. By mapping novel and reported CpG sites to genes, we identified enriched pathways directly linked to lipid metabolism as well as ones spanning various biological functions. These findings provide new insights into the regulation of lipid concentrations.

}, keywords = {Adult, Aged, Alcohol Drinking, CpG Islands, DNA Methylation, Ethnicity, Female, Genome-Wide Association Study, Humans, Lipids, Male, Middle Aged, Racial Groups, Smoking, White People}, issn = {1868-7083}, doi = {10.1186/s13148-025-01859-3}, author = {Hu, Yao and Haessler, Jeff and Lundin, Jessica I and Darst, Burcu F and Whitsel, Eric A and Grove, Megan and Guan, Weihua and Xia, Rui and Szeto, Mindy and Raffield, Laura M and Ratliff, Scott and Wang, Yuxuan and Wang, Xuzhi and Fohner, Alison E and Lynch, Megan T and Patel, Yesha M and Lani Park, S and Xu, Huichun and Mitchell, Braxton D and Bis, Joshua C and Sotoodehnia, Nona and Brody, Jennifer A and Psaty, Bruce M and Peloso, Gina M and Tsai, Michael Y and Rich, Stephen S and Rotter, Jerome I and Smith, Jennifer A and Kardia, Sharon L R and Reiner, Alex P and Lange, Leslie and Fornage, Myriam and Pankow, James S and Graff, Mariaelisa and North, Kari E and Kooperberg, Charles and Peters, Ulrike} } @article {9939, title = {Plasma TAR DNA-binding protein 43 (TDP-43) levels in a population-based cohort of older adults: The cardiovascular health study.}, journal = {J Alzheimers Dis}, year = {2025}, month = {2025 Apr 23}, pages = {13872877251334820}, abstract = {

Brain deposition of transactive response DNA-binding protein 43 (TDP-43) is a feature of neurodegenerative syndromes. We evaluated TDP-43 plasma concentrations in 1058 participants in the Cardiovascular Health Study (CHS), a population-based longitudinal cohort. The cohort was 38\% male, 11\% Black, had a mean age 75 years, and 261 people developed dementia over a mean of 5.5 years of follow up. Median TDP-43 levels were 211.0 pg/mL (IQR: 134.0-341.0 pg/mL). TDP-43 levels were not associated with cross-sectional or longitudinal change in cognitive scores, with plasma AD biomarkers, with brain MRI volumes, with incident dementia, or with demographic characteristics.

}, issn = {1875-8908}, doi = {10.1177/13872877251334820}, author = {Fohner, Alison E and Sitlani, Colleen M and Jayadev, Suman and Bis, Joshua C and Trittschuh, Emily H and Lopez, Oscar L and Tracy, Russel P and Psaty, Bruce M and Longstreth, W T and Seshadri, Sudha} } @article {9940, title = {Selected social and lifestyle correlates of brain health markers: the Cross-Cohort Collaboration Consortium.}, journal = {Alzheimers Dement}, volume = {21}, year = {2025}, month = {2025 Apr}, pages = {e70148}, abstract = {

INTRODUCTION: To investigate the associations of education level, marital status, and physical activity with dementia risk and brain MRI markers.

METHODS: Data from six community-based samples from the Cross-Cohort Collaboration Consortium were analyzed. Self-reported education level, marital status, and physical activity at age 60 to 75 years were harmonized. Subsamples of participants with brain MRI markers at time of exposure were selected. Associations with dementia risk and cross-sectional MRI markers were meta-analyzed.

RESULTS: Higher education level was associated with lower dementia risk (hazard ratio [HR]~=~0.65, 95\% confidence interval [CI]~=~0.59; 0.72~vs low level) but not significantly with brain MRI markers. Compared with being unmarried, being married was only associated with higher total brain and hippocampal volumes. Being physically active was associated with lower dementia risk (HR~=~0.73, 95\% CI~=~0.52; 1.04), as well as larger total brain volume and smaller white matter hyperintensity volume.

DISCUSSION: This study provides further evidence regarding the contribution of education level and physical activity to dementia resilience.

HIGHLIGHTS: Education level, marital status, and physical activity are thought to contribute to resilience against ADRD. We used random-effects meta-analysis to summarize results from six community-based samples from the CCC. In this cross-cohort meta-analysis, higher education level and being physically active were associated with lower risk of dementia. In cross-sectional analyses, being married was associated with larger TBV and HV, while being physically active was associated with larger TBV and lower WMHV.

}, keywords = {Aged, Brain, Cohort Studies, Cross-Sectional Studies, Dementia, Educational Status, Exercise, Female, Humans, Life Style, Magnetic Resonance Imaging, Male, Marital Status, Middle Aged, Risk Factors}, issn = {1552-5279}, doi = {10.1002/alz.70148}, author = {Grasset, Leslie and Bis, Joshua C and Frenzel, Stefan and Kojis, Daniel and Simino, Jeannette and Yaqub, Amber and Beiser, Alexa and Berr, Claudine and Bressler, Jan and B{\"u}low, Robin and DeCarli, Charles S and Fohner, Alison E and Harrington, Laura B and Helmer, Catherine and Ikram, M Arfan and Lemaitre, Rozenn N and Lopez, Oscar L and Longstreth, W T and Neitzel, Julia and Odden, Michelle C and Palta, Priya and Schmidt, Carsten O and Talluri, Rajesh and Vernooij, Meike W and V{\"o}lzke, Henry and Voortman, Trudy and Whalen, Quest and Wittfeld, Katharina and Grabe, Hans J and Mosley, Thomas H and Psaty, Bruce M and Wolters, Frank J and Seshadri, Sudha and Dufouil, Carole} } @article {9942, title = {Whole genome sequencing analysis of body mass index identifies novel African ancestry-specific risk allele.}, journal = {Nat Commun}, volume = {16}, year = {2025}, month = {2025 Apr 11}, pages = {3470}, abstract = {

Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51\% were of non-European population groups. We discovered 18 BMI-associated signals (P < 5 {\texttimes} 10), including two secondary signals. Notably, we identified and replicated a novel low-frequency single nucleotide polymorphism (SNP) in MTMR3 that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the POC5 and DMD loci. Our work demonstrates the benefits of combining WGS and diverse cohorts in expanding current catalog of variants and genes confer risk for obesity, bringing us one step closer to personalized medicine.

}, keywords = {Adult, African People, Alleles, Body Mass Index, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Obesity, Polymorphism, Single Nucleotide, Population Groups, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-025-58420-2}, author = {Zhang, Xinruo and Brody, Jennifer A and Graff, Mariaelisa and Highland, Heather M and Chami, Nathalie and Xu, Hanfei and Wang, Zhe and Ferrier, Kendra R and Chittoor, Geetha and Josyula, Navya Shilpa and Meyer, Mariah and Gupta, Shreyash and Li, Xihao and Li, Zilin and Allison, Matthew A and Becker, Diane M and Bielak, Lawrence F and Bis, Joshua C and Boorgula, Meher Preethi and Bowden, Donald W and Broome, Jai G and Buth, Erin J and Carlson, Christopher S and Chang, Kyong-Mi and Chavan, Sameer and Chiu, Yen-Feng and Chuang, Lee-Ming and Conomos, Matthew P and DeMeo, Dawn L and Du, Mengmeng and Duggirala, Ravindranath and Eng, Celeste and Fohner, Alison E and Freedman, Barry I and Garrett, Melanie E and Guo, Xiuqing and Haiman, Chris and Heavner, Benjamin D and Hidalgo, Bertha and Hixson, James E and Ho, Yuk-Lam and Hobbs, Brian D and Hu, Donglei and Hui, Qin and Hwu, Chii-Min and Jackson, Rebecca D and Jain, Deepti and Kalyani, Rita R and Kardia, Sharon L R and Kelly, Tanika N and Lange, Ethan M and LeNoir, Michael and Li, Changwei and Le Marchand, Lo{\"\i}c and McDonald, Merry-Lynn N and McHugh, Caitlin P and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey and O{\textquoteright}Donnell, Christopher J and Palmer, Nicholette D and Pankow, James S and Perry, James A and Peters, Ulrike and Preuss, Michael H and Rao, D C and Regan, Elizabeth A and Reupena, Sefuiva M and Roden, Dan M and Rodriguez-Santana, Jose and Sitlani, Colleen M and Smith, Jennifer A and Tiwari, Hemant K and Vasan, Ramachandran S and Wang, Zeyuan and Weeks, Daniel E and Wessel, Jennifer and Wiggins, Kerri L and Wilkens, Lynne R and Wilson, Peter W F and Yanek, Lisa R and Yoneda, Zachary T and Zhao, Wei and Z{\"o}llner, Sebastian and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Blangero, John and Boerwinkle, Eric and Burchard, Esteban G and Carson, April P and Chasman, Daniel I and Ida Chen, Yii-Der and Curran, Joanne E and Fornage, Myriam and Gordeuk, Victor R and He, Jiang and Heckbert, Susan R and Hou, Lifang and Irvin, Marguerite R and Kooperberg, Charles and Minster, Ryan L and Mitchell, Braxton D and Nouraie, Mehdi and Psaty, Bruce M and Raffield, Laura M and Reiner, Alexander P and Rich, Stephen S and Rotter, Jerome I and Benjamin Shoemaker, M and Smith, Nicholas L and Taylor, Kent D and Telen, Marilyn J and Weiss, Scott T and Zhang, Yingze and Heard-Costa, Nancy and Sun, Yan V and Lin, Xihong and Cupples, L Adrienne and Lange, Leslie A and Liu, Ching-Ti and Loos, Ruth J F and North, Kari E and Justice, Anne E} }