@article {1263, title = {Health and function of participants in the Long Life Family Study: A comparison with other cohorts.}, journal = {Aging (Albany NY)}, volume = {3}, year = {2011}, month = {2011 Jan}, pages = {63-76}, abstract = {

Individuals from families recruited for the Long Life Family Study (LLFS) (n= 4559) were examined and compared to individuals from other cohorts to determine whether the recruitment targeting longevity resulted in a cohort of individuals with better health and function. Other cohorts with similar data included the Cardiovascular Health Study, the Framingham Heart Study, and the New England Centenarian Study. Diabetes, chronic pulmonary disease and peripheral artery disease tended to be less common in LLFS probands and offspring compared to similar aged persons in the other cohorts. Pulse pressure and triglycerides were lower, high density lipids were higher, and a perceptual speed task and gait speed were better in LLFS. Age-specific comparisons showed differences that would be consistent with a higher peak, later onset of decline or slower rate of change across age in LLFS participants. These findings suggest several priority phenotypes for inclusion in future genetic analysis to identify loci contributing to exceptional survival.

}, keywords = {Aged, Aged, 80 and over, Aging, Blood Pressure, Cardiovascular Diseases, Cohort Studies, Female, Gait, Humans, Longevity, Male, Middle Aged, Psychomotor Performance, Research Design}, issn = {1945-4589}, doi = {10.18632/aging.100242}, author = {Newman, Anne B and Glynn, Nancy W and Taylor, Christopher A and Sebastiani, Paola and Perls, Thomas T and Mayeux, Richard and Christensen, Kaare and Zmuda, Joseph M and Barral, Sandra and Lee, Joseph H and Simonsick, Eleanor M and Walston, Jeremy D and Yashin, Anatoli I and Hadley, Evan} } @article {6692, title = {A variant of sparse partial least squares for variable selection and data exploration.}, journal = {Front Neuroinform}, volume = {8}, year = {2014}, month = {2014}, pages = {18}, abstract = {When data are sparse and/or predictors multicollinear, current implementation of sparse partial least squares (SPLS) does not give estimates for non-selected predictors nor provide a measure of inference. In response, an approach termed "all-possible" SPLS is proposed, which fits a SPLS model for all tuning parameter values across a set grid. Noted is the percentage of time a given predictor is chosen, as well as the average non-zero parameter estimate. Using a "large" number of multicollinear predictors, simulation confirmed variables not associated with the outcome were least likely to be chosen as sparsity increased across the grid of tuning parameters, while the opposite was true for those strongly associated. Lastly, variables with a weak association were chosen more often than those with no association, but less often than those with a strong relationship to the outcome. Similarly, predictors most strongly related to the outcome had the largest average parameter estimate magnitude, followed by those with a weak relationship, followed by those with no relationship. Across two independent studies regarding the relationship between volumetric MRI measures and a cognitive test score, this method confirmed a priori hypotheses about which brain regions would be selected most often and have the largest average parameter estimates. In conclusion, the percentage of time a predictor is chosen is a useful measure for ordering the strength of the relationship between the independent and dependent variables, serving as a form of inference. The average parameter estimates give further insight regarding the direction and strength of association. As a result, all-possible SPLS gives more information than the dichotomous output of traditional SPLS, making it useful when undertaking data exploration and hypothesis generation for a large number of potential predictors.}, issn = {1662-5196}, doi = {10.3389/fninf.2014.00018}, author = {Olson Hunt, Megan J and Weissfeld, Lisa and Boudreau, Robert M and Aizenstein, Howard and Newman, Anne B and Simonsick, Eleanor M and Van Domelen, Dane R and Thomas, Fridtjof and Yaffe, Kristine and Rosano, Caterina} } @article {9172, title = {Stroke genetics informs drug discovery and risk prediction across ancestries.}, journal = {Nature}, year = {2022}, month = {2022 Sep 30}, abstract = {

Previous genome-wide association studies (GWASs) of stroke~-~the second leading cause of death worldwide~-~were conducted predominantly in populations of European ancestry. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33\% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30\% non-European) and 1,013,843 control individuals, 87\% of the primary stroke risk loci and 60\% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.

}, issn = {1476-4687}, doi = {10.1038/s41586-022-05165-3}, author = {Mishra, Aniket and Malik, Rainer and Hachiya, Tsuyoshi and J{\"u}rgenson, Tuuli and Namba, Shinichi and Posner, Daniel C and Kamanu, Frederick K and Koido, Masaru and Le Grand, Quentin and Shi, Mingyang and He, Yunye and Georgakis, Marios K and Caro, Ilana and Krebs, Kristi and Liaw, Yi-Ching and Vaura, Felix C and Lin, Kuang and Winsvold, Bendik Slagsvold and Srinivasasainagendra, Vinodh and Parodi, Livia and Bae, Hee-Joon and Chauhan, Ganesh and Chong, Michael R and Tomppo, Liisa and Akinyemi, Rufus and Roshchupkin, Gennady V and Habib, Naomi and Jee, Yon Ho and Thomassen, Jesper Qvist and Abedi, Vida and C{\'a}rcel-M{\'a}rquez, Jara and Nygaard, Marianne and Leonard, Hampton L and Yang, Chaojie and Yonova-Doing, Ekaterina and Knol, Maria J and Lewis, Adam J and Judy, Renae L and Ago, Tetsuro and Amouyel, Philippe and Armstrong, Nicole D and Bakker, Mark K and Bartz, Traci M and Bennett, David A and Bis, Joshua C and Bordes, Constance and B{\o}rte, Sigrid and Cain, Anael and Ridker, Paul M and Cho, Kelly and Chen, Zhengming and Cruchaga, Carlos and Cole, John W and De Jager, Phil L and de Cid, Rafael and Endres, Matthias and Ferreira, Leslie E and Geerlings, Mirjam I and Gasca, Natalie C and Gudnason, Vilmundur and Hata, Jun and He, Jing and Heath, Alicia K and Ho, Yuk-Lam and Havulinna, Aki S and Hopewell, Jemma C and Hyacinth, Hyacinth I and Inouye, Michael and Jacob, Mina A and Jeon, Christina E and Jern, Christina and Kamouchi, Masahiro and Keene, Keith L and Kitazono, Takanari and Kittner, Steven J and Konuma, Takahiro and Kumar, Amit and Lacaze, Paul and Launer, Lenore J and Lee, Keon-Joo and Lepik, Kaido and Li, Jiang and Li, Liming and Manichaikul, Ani and Markus, Hugh S and Marston, Nicholas A and Meitinger, Thomas and Mitchell, Braxton D and Montellano, Felipe A and Morisaki, Takayuki and Mosley, Thomas H and Nalls, Mike A and Nordestgaard, B{\o}rge G and O{\textquoteright}Donnell, Martin J and Okada, Yukinori and Onland-Moret, N Charlotte and Ovbiagele, Bruce and Peters, Annette and Psaty, Bruce M and Rich, Stephen S and Rosand, Jonathan and Sabatine, Marc S and Sacco, Ralph L and Saleheen, Danish and Sandset, Else Charlotte and Salomaa, Veikko and Sargurupremraj, Muralidharan and Sasaki, Makoto and Satizabal, Claudia L and Schmidt, Carsten O and Shimizu, Atsushi and Smith, Nicholas L and Sloane, Kelly L and Sutoh, Yoichi and Sun, Yan V and Tanno, Kozo and Tiedt, Steffen and Tatlisumak, Turgut and Torres-Aguila, Nuria P and Tiwari, Hemant K and Tr{\'e}gou{\"e}t, David-Alexandre and Trompet, Stella and Tuladhar, Anil Man and Tybj{\ae}rg-Hansen, Anne and van Vugt, Marion and Vibo, Riina and Verma, Shefali S and Wiggins, Kerri L and Wennberg, Patrik and Woo, Daniel and Wilson, Peter W F and Xu, Huichun and Yang, Qiong and Yoon, Kyungheon and Millwood, Iona Y and Gieger, Christian and Ninomiya, Toshiharu and Grabe, Hans J and Jukema, J Wouter and Rissanen, Ina L and Strbian, Daniel and Kim, Young Jin and Chen, Pei-Hsin and Mayerhofer, Ernst and Howson, Joanna M M and Irvin, Marguerite R and Adams, Hieab and Wassertheil-Smoller, Sylvia and Christensen, Kaare and Ikram, Mohammad A and Rundek, Tatjana and Worrall, Bradford B and Lathrop, G Mark and Riaz, Moeen and Simonsick, Eleanor M and K{\~o}rv, Janika and Fran{\c c}a, Paulo H C and Zand, Ramin and Prasad, Kameshwar and Frikke-Schmidt, Ruth and de Leeuw, Frank-Erik and Liman, Thomas and Haeusler, Karl Georg and Ruigrok, Ynte M and Heuschmann, Peter Ulrich and Longstreth, W T and Jung, Keum Ji and Bastarache, Lisa and Par{\'e}, Guillaume and Damrauer, Scott M and Chasman, Daniel I and Rotter, Jerome I and Anderson, Christopher D and Zwart, John-Anker and Niiranen, Teemu J and Fornage, Myriam and Liaw, Yung-Po and Seshadri, Sudha and Fernandez-Cadenas, Israel and Walters, Robin G and Ruff, Christian T and Owolabi, Mayowa O and Huffman, Jennifer E and Milani, Lili and Kamatani, Yoichiro and Dichgans, Martin and Debette, Stephanie} } @article {9666, title = {Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.}, journal = {Nat Genet}, year = {2024}, month = {2024 Apr 30}, abstract = {

Hypertension affects more than one billion people worldwide. Here we identify 113 novel loci, reporting a total of 2,103 independent genetic signals (P < 5 {\texttimes} 10) from the largest single-stage blood pressure (BP) genome-wide association study to date (n = 1,028,980 European individuals). These associations explain more than 60\% of single nucleotide polymorphism-based BP heritability. Comparing top versus bottom deciles of polygenic risk scores (PRSs) reveals clinically meaningful differences in BP (16.9 mmHg systolic BP, 95\% CI, 15.5-18.2 mmHg, P = 2.22 {\texttimes} 10) and more than a sevenfold higher odds of hypertension risk (odds ratio, 7.33; 95\% CI, 5.54-9.70; P = 4.13 {\texttimes} 10) in an independent dataset. Adding PRS into hypertension-prediction models increased the area under the receiver operating characteristic curve (AUROC) from 0.791 (95\% CI, 0.781-0.801) to 0.826 (95\% CI, 0.817-0.836, ∆AUROC, 0.035, P = 1.98 {\texttimes} 10). We compare the 2,103 loci results in non-European ancestries and show significant PRS associations in a large African-American sample. Secondary analyses implicate 500 genes previously unreported for BP. Our study highlights the role of increasingly large genomic studies for precision health research.

}, issn = {1546-1718}, doi = {10.1038/s41588-024-01714-w}, author = {Keaton, Jacob M and Kamali, Zoha and Xie, Tian and Vaez, Ahmad and Williams, Ariel and Goleva, Slavina B and Ani, Alireza and Evangelou, Evangelos and Hellwege, Jacklyn N and Yengo, Loic and Young, William J and Traylor, Matthew and Giri, Ayush and Zheng, Zhili and Zeng, Jian and Chasman, Daniel I and Morris, Andrew P and Caulfield, Mark J and Hwang, Shih-Jen and Kooner, Jaspal S and Conen, David and Attia, John R and Morrison, Alanna C and Loos, Ruth J F and Kristiansson, Kati and Schmidt, Reinhold and Hicks, Andrew A and Pramstaller, Peter P and Nelson, Christopher P and Samani, Nilesh J and Risch, Lorenz and Gyllensten, Ulf and Melander, Olle and Riese, Harri{\"e}tte and Wilson, James F and Campbell, Harry and Rich, Stephen S and Psaty, Bruce M and Lu, Yingchang and Rotter, Jerome I and Guo, Xiuqing and Rice, Kenneth M and Vollenweider, Peter and Sundstr{\"o}m, Johan and Langenberg, Claudia and Tobin, Martin D and Giedraitis, Vilmantas and Luan, Jian{\textquoteright}an and Tuomilehto, Jaakko and Kutalik, Zolt{\'a}n and Ripatti, Samuli and Salomaa, Veikko and Girotto, Giorgia and Trompet, Stella and Jukema, J Wouter and van der Harst, Pim and Ridker, Paul M and Giulianini, Franco and Vitart, Veronique and Goel, Anuj and Watkins, Hugh and Harris, Sarah E and Deary, Ian J and van der Most, Peter J and Oldehinkel, Albertine J and Keavney, Bernard D and Hayward, Caroline and Campbell, Archie and Boehnke, Michael and Scott, Laura J and Boutin, Thibaud and Mamasoula, Chrysovalanto and Jarvelin, Marjo-Riitta and Peters, Annette and Gieger, Christian and Lakatta, Edward G and Cucca, Francesco and Hui, Jennie and Knekt, Paul and Enroth, Stefan and de Borst, Martin H and Polasek, Ozren and Concas, Maria Pina and Catamo, Eulalia and Cocca, Massimiliano and Li-Gao, Ruifang and Hofer, Edith and Schmidt, Helena and Spedicati, Beatrice and Waldenberger, Melanie and Strachan, David P and Laan, Maris and Teumer, Alexander and D{\"o}rr, Marcus and Gudnason, Vilmundur and Cook, James P and Ruggiero, Daniela and Kolcic, Ivana and Boerwinkle, Eric and Traglia, Michela and Lehtim{\"a}ki, Terho and Raitakari, Olli T and Johnson, Andrew D and Newton-Cheh, Christopher and Brown, Morris J and Dominiczak, Anna F and Sever, Peter J and Poulter, Neil and Chambers, John C and Elosua, Roberto and Siscovick, David and Esko, T{\~o}nu and Metspalu, Andres and Strawbridge, Rona J and Laakso, Markku and Hamsten, Anders and Hottenga, Jouke-Jan and de Geus, Eco and Morris, Andrew D and Palmer, Colin N A and Nolte, Ilja M and Milaneschi, Yuri and Marten, Jonathan and Wright, Alan and Zeggini, Eleftheria and Howson, Joanna M M and O{\textquoteright}Donnell, Christopher J and Spector, Tim and Nalls, Mike A and Simonsick, Eleanor M and Liu, Yongmei and van Duijn, Cornelia M and Butterworth, Adam S and Danesh, John N and Menni, Cristina and Wareham, Nicholas J and Khaw, Kay-Tee and Sun, Yan V and Wilson, Peter W F and Cho, Kelly and Visscher, Peter M and Denny, Joshua C and Levy, Daniel and Edwards, Todd L and Munroe, Patricia B and Snieder, Harold and Warren, Helen R} } @article {9917, title = {Association Between Cigarette Smoking~and Subclinical Markers of Cardiovascular Harm.}, journal = {J Am Coll Cardiol}, volume = {85}, year = {2025}, month = {2025 Mar 18}, pages = {1018-1034}, abstract = {

BACKGROUND: Cigarette smoking is a strong risk factor for cardiovascular harm.

OBJECTIVES: The study sought to explore the detailed relationships between smoking intensity, pack-years, and~time since cessation with inflammation, thrombosis, and subclinical atherosclerosis markers of cardiovascular harm.

METHODS: We included 182,364 participants (mean age 58.2 years, 69.0\% female) from 22 cohorts of the Cross Cohort Collaboration with self-reported smoking status, including smoking intensity and/or pack-years, and concurrent subclinical marker measurements. Markers were categorized into 3 domains: inflammation (high-sensitivity C-reactive protein, interleukin-6, glycoprotein acetylation), thrombosis (fibrinogen, D-dimer), and subclinical atherosclerosis (coronary artery calcium, carotid intima-media thickness, carotid plaque, and ankle-brachial index). Utilizing multivariate regression models and restricted cubic splines, we assessed associations of smoking status, intensity, pack-years, time since cessation, and subclinical markers.

RESULTS: A total of 15.3\% of participants currently smoke (mean 16.7 cigarettes/day, mean 30.0 pack-years), and 34.6\% of participants formerly smoked (median 19.0 years since quitting, mean 22.4 pack-years). Participants with a history of smoking showed higher levels of all subclinical markers compared with those who have never smoked, with stronger associations observed in those currently smoke. Among participants who currently smoke, smoking intensity showed a clear dose-response relationship with all markers, except for D-dimer, specifically with incremental 1\% to 9\% higher levels of subclinical markers per 10 cigarettes. After 20 cigarettes, the patterns appeared to plateau for blood markers, while they continued to increase for atherosclerosis markers. Among those who have ever smoked, robust dose-response relationships were observed for pack-years with all subclinical markers, with incremental 1\% to 9\% higher levels per 10 pack-years. The dose-response effects persisted after 20 pack-years for all markers, though with a milder slope. Among participants who smoked formerly, there were substantially lower levels of biomarkers with longer time since quitting, and most markers were not different compared with those who have never smoked by 30 years, except for the coronary artery calcium score, which remained 19\% higher even beyond quitting after 30 years.

CONCLUSIONS: Smoking-relevant parameters show strong and dose-response relationships across 3 domains of subclinical markers of cardiovascular harm. The sensitivity of the tested subclinical markers to small increments in cigarette exposure suggests potential value in the regulation of new and existing tobacco products.

}, keywords = {Aged, Atherosclerosis, Biomarkers, Cardiovascular Diseases, Carotid Intima-Media Thickness, Cigarette Smoking, Cohort Studies, Female, Humans, Male, Middle Aged, Risk Factors}, issn = {1558-3597}, doi = {10.1016/j.jacc.2024.12.032}, author = {Yao, Zhiqi and Tasdighi, Erfan and Dardari, Zeina A and Jha, Kunal K and Osuji, Ngozi and Rajan, Tanuja and Boakye, Ellen and Rodriguez, Carlos J and Matsushita, Kunihiro and Simonsick, Eleanor M and Lima, Jo{\~a}o A C and Widome, Rachel and Cohen, Debbie L and Appel, Lawrence J and Khera, Amit and Hall, Michael E and Judd, Suzanne E and Cole, Shelley A and Vasan, Ramachandran S and Benjamin, Emelia J and Lotufo, Paulo A and Bensenor, Isabela M and El Khoudary, Samar R and Barinas-Mitchell, Emma and Janssen, Imke and Psaty, Bruce M and Eaton, Charles B and Lamonte, Michael J and Cawthon, Peggy M and Orwoll, Eric S and Irvin, Marguerite R and Bhatnagar, Aruni and DeFilippis, Andrew P and El-Shahaway, Omar and Blaha, Michael J} }