@article {1273, title = {Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study.}, journal = {Hum Mol Genet}, volume = {20}, year = {2011}, month = {2011 Jun 01}, pages = {2273-84}, abstract = {

The prevalence of hypertension in African Americans (AAs) is higher than in other US groups; yet, few have performed genome-wide association studies (GWASs) in AA. Among people of European descent, GWASs have identified genetic variants at 13 loci that are associated with blood pressure. It is unknown if these variants confer susceptibility in people of African ancestry. Here, we examined genome-wide and candidate gene associations with systolic blood pressure (SBP) and diastolic blood pressure (DBP) using the Candidate Gene Association Resource (CARe) consortium consisting of 8591 AAs. Genotypes included genome-wide single-nucleotide polymorphism (SNP) data utilizing the Affymetrix 6.0 array with imputation to 2.5 million HapMap SNPs and candidate gene SNP data utilizing a 50K cardiovascular gene-centric array (ITMAT-Broad-CARe [IBC] array). For Affymetrix data, the strongest signal for DBP was rs10474346 (P= 3.6 {\texttimes} 10(-8)) located near GPR98 and ARRDC3. For SBP, the strongest signal was rs2258119 in C21orf91 (P= 4.7 {\texttimes} 10(-8)). The top IBC association for SBP was rs2012318 (P= 6.4 {\texttimes} 10(-6)) near SLC25A42 and for DBP was rs2523586 (P= 1.3 {\texttimes} 10(-6)) near HLA-B. None of the top variants replicated in additional AA (n = 11 882) or European-American (n = 69 899) cohorts. We replicated previously reported European-American blood pressure SNPs in our AA samples (SH2B3, P= 0.009; TBX3-TBX5, P= 0.03; and CSK-ULK3, P= 0.0004). These genetic loci represent the best evidence of genetic influences on SBP and DBP in AAs to date. More broadly, this work supports that notion that blood pressure among AAs is a trait with genetic underpinnings but also with significant complexity.

}, keywords = {Adult, African Americans, Aged, Blood Pressure, Cohort Studies, Diastole, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Hypertension, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Systole}, issn = {1460-2083}, doi = {10.1093/hmg/ddr092}, author = {Fox, Ervin R and Young, J Hunter and Li, Yali and Dreisbach, Albert W and Keating, Brendan J and Musani, Solomon K and Liu, Kiang and Morrison, Alanna C and Ganesh, Santhi and Kutlar, Abdullah and Ramachandran, Vasan S and Polak, Josef F and Fabsitz, Richard R and Dries, Daniel L and Farlow, Deborah N and Redline, Susan and Adeyemo, Adebowale and Hirschorn, Joel N and Sun, Yan V and Wyatt, Sharon B and Penman, Alan D and Palmas, Walter and Rotter, Jerome I and Townsend, Raymond R and Doumatey, Ayo P and Tayo, Bamidele O and Mosley, Thomas H and Lyon, Helen N and Kang, Sun J and Rotimi, Charles N and Cooper, Richard S and Franceschini, Nora and Curb, J David and Martin, Lisa W and Eaton, Charles B and Kardia, Sharon L R and Taylor, Herman A and Caulfield, Mark J and Ehret, Georg B and Johnson, Toby and Chakravarti, Aravinda and Zhu, Xiaofeng and Levy, Daniel} } @article {1303, title = {Genetic determinants of lipid traits in diverse populations from the population architecture using genomics and epidemiology (PAGE) study.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Jun}, pages = {e1002138}, abstract = {

For the past five years, genome-wide association studies (GWAS) have identified hundreds of common variants associated with human diseases and traits, including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) levels. Approximately 95 loci associated with lipid levels have been identified primarily among populations of European ancestry. The Population Architecture using Genomics and Epidemiology (PAGE) study was established in 2008 to characterize GWAS-identified variants in diverse population-based studies. We genotyped 49 GWAS-identified SNPs associated with one or more lipid traits in at least two PAGE studies and across six racial/ethnic groups. We performed a meta-analysis testing for SNP associations with fasting HDL-C, LDL-C, and ln(TG) levels in self-identified European American (~20,000), African American (~9,000), American Indian (~6,000), Mexican American/Hispanic (~2,500), Japanese/East Asian (~690), and Pacific Islander/Native Hawaiian (~175) adults, regardless of lipid-lowering medication use. We replicated 55 of 60 (92\%) SNP associations tested in European Americans at p<0.05. Despite sufficient power, we were unable to replicate ABCA1 rs4149268 and rs1883025, CETP rs1864163, and TTC39B rs471364 previously associated with HDL-C and MAFB rs6102059 previously associated with LDL-C. Based on significance (p<0.05) and consistent direction of effect, a majority of replicated genotype-phentoype associations for HDL-C, LDL-C, and ln(TG) in European Americans generalized to African Americans (48\%, 61\%, and 57\%), American Indians (45\%, 64\%, and 77\%), and Mexican Americans/Hispanics (57\%, 56\%, and 86\%). Overall, 16 associations generalized across all three populations. For the associations that did not generalize, differences in effect sizes, allele frequencies, and linkage disequilibrium offer clues to the next generation of association studies for these traits.

}, keywords = {Adolescent, Adult, Aged, Aged, 80 and over, Continental Population Groups, Female, Gene Frequency, Genetics, Population, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Lipid Metabolism, Lipoproteins, HDL, Lipoproteins, LDL, Male, Middle Aged, Molecular Epidemiology, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Triglycerides, Young Adult}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002138}, author = {Dumitrescu, Logan and Carty, Cara L and Taylor, Kira and Schumacher, Fredrick R and Hindorff, Lucia A and Ambite, Jos{\'e} L and Anderson, Garnet and Best, Lyle G and Brown-Gentry, Kristin and B{\r u}zkov{\'a}, Petra and Carlson, Christopher S and Cochran, Barbara and Cole, Shelley A and Devereux, Richard B and Duggan, Dave and Eaton, Charles B and Fornage, Myriam and Franceschini, Nora and Haessler, Jeff and Howard, Barbara V and Johnson, Karen C and Laston, Sandra and Kolonel, Laurence N and Lee, Elisa T and MacCluer, Jean W and Manolio, Teri A and Pendergrass, Sarah A and Quibrera, Miguel and Shohet, Ralph V and Wilkens, Lynne R and Haiman, Christopher A and Le Marchand, Lo{\"\i}c and Buyske, Steven and Kooperberg, Charles and North, Kari E and Crawford, Dana C} } @article {6155, title = {Multiethnic meta-analysis of genome-wide association studies in >100 000 subjects identifies 23 fibrinogen-associated Loci but no strong evidence of a causal association between circulating fibrinogen and cardiovascular disease.}, journal = {Circulation}, volume = {128}, year = {2013}, month = {2013 Sep 17}, pages = {1310-24}, abstract = {

BACKGROUND: Estimates of the heritability of plasma fibrinogen concentration, an established predictor of cardiovascular disease, range from 34\% to 50\%. Genetic variants so far identified by genome-wide association studies explain only a small proportion (<2\%) of its variation.

METHODS AND RESULTS: We conducted a meta-analysis of 28 genome-wide association studies including >90 000 subjects of European ancestry, the first genome-wide association meta-analysis of fibrinogen levels in 7 studies in blacks totaling 8289 samples, and a genome-wide association study in Hispanics totaling 1366 samples. Evaluation for association of single-nucleotide polymorphisms with clinical outcomes included a total of 40 695 cases and 85 582 controls for coronary artery disease, 4752 cases and 24 030 controls for stroke, and 3208 cases and 46 167 controls for venous thromboembolism. Overall, we identified 24 genome-wide significant (P<5{\texttimes}10(-8)) independent signals in 23 loci, including 15 novel associations, together accounting for 3.7\% of plasma fibrinogen variation. Gene-set enrichment analysis highlighted key roles in fibrinogen regulation for the 3 structural fibrinogen genes and pathways related to inflammation, adipocytokines, and thyrotrophin-releasing hormone signaling. Whereas lead single-nucleotide polymorphisms in a few loci were significantly associated with coronary artery disease, the combined effect of all 24 fibrinogen-associated lead single-nucleotide polymorphisms was not significant for coronary artery disease, stroke, or venous thromboembolism.

CONCLUSIONS: We identify 23 robustly associated fibrinogen loci, 15 of which are new. Clinical outcome analysis of these loci does not support a causal relationship between circulating levels of fibrinogen and coronary artery disease, stroke, or venous thromboembolism.

}, keywords = {Adolescent, Adult, African Continental Ancestry Group, Aged, Aged, 80 and over, Cardiovascular Diseases, Coronary Artery Disease, European Continental Ancestry Group, Female, Fibrinogen, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic Americans, Humans, Male, Middle Aged, Myocardial Infarction, Polymorphism, Single Nucleotide, Risk Factors, Stroke, Venous Thromboembolism, Young Adult}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.113.002251}, author = {Sabater-Lleal, Maria and Huang, Jie and Chasman, Daniel and Naitza, Silvia and Dehghan, Abbas and Johnson, Andrew D and Teumer, Alexander and Reiner, Alex P and Folkersen, Lasse and Basu, Saonli and Rudnicka, Alicja R and Trompet, Stella and M{\"a}larstig, Anders and Baumert, Jens and Bis, Joshua C and Guo, Xiuqing and Hottenga, Jouke J and Shin, So-Youn and Lopez, Lorna M and Lahti, Jari and Tanaka, Toshiko and Yanek, Lisa R and Oudot-Mellakh, Tiphaine and Wilson, James F and Navarro, Pau and Huffman, Jennifer E and Zemunik, Tatijana and Redline, Susan and Mehra, Reena and Pulanic, Drazen and Rudan, Igor and Wright, Alan F and Kolcic, Ivana and Polasek, Ozren and Wild, Sarah H and Campbell, Harry and Curb, J David and Wallace, Robert and Liu, Simin and Eaton, Charles B and Becker, Diane M and Becker, Lewis C and Bandinelli, Stefania and R{\"a}ikk{\"o}nen, Katri and Widen, Elisabeth and Palotie, Aarno and Fornage, Myriam and Green, David and Gross, Myron and Davies, Gail and Harris, Sarah E and Liewald, David C and Starr, John M and Williams, Frances M K and Grant, Peter J and Spector, Timothy D and Strawbridge, Rona J and Silveira, Angela and Sennblad, Bengt and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Hofman, Albert and van Dongen, Jenny and Willemsen, Gonneke and Boomsma, Dorret I and Yao, Jie and Swords Jenny, Nancy and Haritunians, Talin and McKnight, Barbara and Lumley, Thomas and Taylor, Kent D and Rotter, Jerome I and Psaty, Bruce M and Peters, Annette and Gieger, Christian and Illig, Thomas and Grotevendt, Anne and Homuth, Georg and V{\"o}lzke, Henry and Kocher, Thomas and Goel, Anuj and Franzosi, Maria Grazia and Seedorf, Udo and Clarke, Robert and Steri, Maristella and Tarasov, Kirill V and Sanna, Serena and Schlessinger, David and Stott, David J and Sattar, Naveed and Buckley, Brendan M and Rumley, Ann and Lowe, Gordon D and McArdle, Wendy L and Chen, Ming-Huei and Tofler, Geoffrey H and Song, Jaejoon and Boerwinkle, Eric and Folsom, Aaron R and Rose, Lynda M and Franco-Cereceda, Anders and Teichert, Martina and Ikram, M Arfan and Mosley, Thomas H and Bevan, Steve and Dichgans, Martin and Rothwell, Peter M and Sudlow, Cathie L M and Hopewell, Jemma C and Chambers, John C and Saleheen, Danish and Kooner, Jaspal S and Danesh, John and Nelson, Christopher P and Erdmann, Jeanette and Reilly, Muredach P and Kathiresan, Sekar and Schunkert, Heribert and Morange, Pierre-Emmanuel and Ferrucci, Luigi and Eriksson, Johan G and Jacobs, David and Deary, Ian J and Soranzo, Nicole and Witteman, Jacqueline C M and de Geus, Eco J C and Tracy, Russell P and Hayward, Caroline and Koenig, Wolfgang and Cucca, Francesco and Jukema, J Wouter and Eriksson, Per and Seshadri, Sudha and Markus, Hugh S and Watkins, Hugh and Samani, Nilesh J and Wallaschofski, Henri and Smith, Nicholas L and Tregouet, David and Ridker, Paul M and Tang, Weihong and Strachan, David P and Hamsten, Anders and O{\textquoteright}Donnell, Christopher J} } @article {6111, title = {Post-genome-wide association study challenges for lipid traits: describing age as a modifier of gene-lipid associations in the Population Architecture using Genomics and Epidemiology (PAGE) study.}, journal = {Ann Hum Genet}, volume = {77}, year = {2013}, month = {2013 Sep}, pages = {416-25}, abstract = {

Numerous common genetic variants that influence plasma high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), and triglyceride distributions have been identified via genome-wide association studies (GWAS). However, whether or not these associations are age-dependent has largely been overlooked. We conducted an association study and meta-analysis in more than 22,000 European Americans between 49 previously identified GWAS variants and the three lipid traits, stratified by age (males: <50 or >=50 years of age; females: pre- or postmenopausal). For each variant, a test of heterogeneity was performed between the two age strata and significant Phet values were used as evidence of age-specific genetic effects. We identified seven associations in females and eight in males that displayed suggestive heterogeneity by age (Phet < 0.05). The association between rs174547 (FADS1) and LDL-C in males displayed the most evidence for heterogeneity between age groups (Phet = 1.74E-03, I(2) = 89.8), with a significant association in older males (P = 1.39E-06) but not younger males (P = 0.99). However, none of the suggestive modifying effects survived adjustment for multiple testing, highlighting the challenges of identifying modifiers of modest SNP-trait associations despite large sample sizes.

}, keywords = {Adult, Aged, European Continental Ancestry Group, Female, Genetic Association Studies, Genome-Wide Association Study, Humans, Lipids, Male, Middle Aged, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Quantitative Trait, Heritable, Risk Factors}, issn = {1469-1809}, doi = {10.1111/ahg.12027}, author = {Dumitrescu, Logan and Carty, Cara L and Franceschini, Nora and Hindorff, Lucia A and Cole, Shelley A and B{\r u}zkov{\'a}, Petra and Schumacher, Fredrick R and Eaton, Charles B and Goodloe, Robert J and Duggan, David J and Haessler, Jeff and Cochran, Barbara and Henderson, Brian E and Cheng, Iona and Johnson, Karen C and Carlson, Chris S and Love, Shelly-Ann and Brown-Gentry, Kristin and Nato, Alejandro Q and Quibrera, Miguel and Anderson, Garnet and Shohet, Ralph V and Ambite, Jose Luis and Wilkens, Lynne R and Marchand, Loic Le and Haiman, Christopher A and Buyske, Steven and Kooperberg, Charles and North, Kari E and Fornage, Myriam and Crawford, Dana C} } @article {6863, title = {HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials.}, journal = {Lancet}, volume = {385}, year = {2015}, month = {2015 Jan 24}, pages = {351-61}, abstract = {

BACKGROUND: Statins increase the risk of new-onset type 2 diabetes mellitus. We aimed to assess whether this increase in risk is a consequence of inhibition of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), the intended drug target.

METHODS: We used single nucleotide polymorphisms in the HMGCR gene, rs17238484 (for the main analysis) and rs12916 (for a subsidiary analysis) as proxies for HMGCR inhibition by statins. We examined associations of these variants with plasma lipid, glucose, and insulin concentrations; bodyweight; waist circumference; and prevalent and incident type 2 diabetes. Study-specific effect estimates per copy of each LDL-lowering allele were pooled by meta-analysis. These findings were compared with a meta-analysis of new-onset type 2 diabetes and bodyweight change data from randomised trials of statin drugs. The effects of statins in each randomised trial were assessed using meta-analysis.

FINDINGS: Data were available for up to 223 463 individuals from 43 genetic studies. Each additional rs17238484-G allele was associated with a mean 0{\textperiodcentered}06 mmol/L (95\% CI 0{\textperiodcentered}05-0{\textperiodcentered}07) lower LDL cholesterol and higher body weight (0{\textperiodcentered}30 kg, 0{\textperiodcentered}18-0{\textperiodcentered}43), waist circumference (0{\textperiodcentered}32 cm, 0{\textperiodcentered}16-0{\textperiodcentered}47), plasma insulin concentration (1{\textperiodcentered}62\%, 0{\textperiodcentered}53-2{\textperiodcentered}72), and plasma glucose concentration (0{\textperiodcentered}23\%, 0{\textperiodcentered}02-0{\textperiodcentered}44). The rs12916 SNP had similar effects on LDL cholesterol, bodyweight, and waist circumference. The rs17238484-G allele seemed to be associated with higher risk of type 2 diabetes (odds ratio [OR] per allele 1{\textperiodcentered}02, 95\% CI 1{\textperiodcentered}00-1{\textperiodcentered}05); the rs12916-T allele association was consistent (1{\textperiodcentered}06, 1{\textperiodcentered}03-1{\textperiodcentered}09). In 129 170 individuals in randomised trials, statins lowered LDL cholesterol by 0{\textperiodcentered}92 mmol/L (95\% CI 0{\textperiodcentered}18-1{\textperiodcentered}67) at 1-year of follow-up, increased bodyweight by 0{\textperiodcentered}24 kg (95\% CI 0{\textperiodcentered}10-0{\textperiodcentered}38 in all trials; 0{\textperiodcentered}33 kg, 95\% CI 0{\textperiodcentered}24-0{\textperiodcentered}42 in placebo or standard care controlled trials and -0{\textperiodcentered}15 kg, 95\% CI -0{\textperiodcentered}39 to 0{\textperiodcentered}08 in intensive-dose vs moderate-dose trials) at a mean of 4{\textperiodcentered}2 years (range 1{\textperiodcentered}9-6{\textperiodcentered}7) of follow-up, and increased the odds of new-onset type 2 diabetes (OR 1{\textperiodcentered}12, 95\% CI 1{\textperiodcentered}06-1{\textperiodcentered}18 in all trials; 1{\textperiodcentered}11, 95\% CI 1{\textperiodcentered}03-1{\textperiodcentered}20 in placebo or standard care controlled trials and 1{\textperiodcentered}12, 95\% CI 1{\textperiodcentered}04-1{\textperiodcentered}22 in intensive-dose vs moderate dose trials).

INTERPRETATION: The increased risk of type 2 diabetes noted with statins is at least partially explained by HMGCR inhibition.

FUNDING: The funding sources are cited at the end of the paper.

}, keywords = {Aged, Body Mass Index, Body Weight, Cholesterol, HDL, Cholesterol, LDL, Diabetes Mellitus, Type 2, Female, Genetic Testing, Humans, Hydroxymethylglutaryl CoA Reductases, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Male, Middle Aged, Polymorphism, Single Nucleotide, Randomized Controlled Trials as Topic, Risk Factors}, issn = {1474-547X}, doi = {10.1016/S0140-6736(14)61183-1}, author = {Swerdlow, Daniel I and Preiss, David and Kuchenbaecker, Karoline B and Holmes, Michael V and Engmann, Jorgen E L and Shah, Tina and Sofat, Reecha and Stender, Stefan and Johnson, Paul C D and Scott, Robert A and Leusink, Maarten and Verweij, Niek and Sharp, Stephen J and Guo, Yiran and Giambartolomei, Claudia and Chung, Christina and Peasey, Anne and Amuzu, Antoinette and Li, KaWah and Palmen, Jutta and Howard, Philip and Cooper, Jackie A and Drenos, Fotios and Li, Yun R and Lowe, Gordon and Gallacher, John and Stewart, Marlene C W and Tzoulaki, Ioanna and Buxbaum, Sarah G and van der A, Daphne L and Forouhi, Nita G and Onland-Moret, N Charlotte and van der Schouw, Yvonne T and Schnabel, Renate B and Hubacek, Jaroslav A and Kubinova, Ruzena and Baceviciene, Migle and Tamosiunas, Abdonas and Pajak, Andrzej and Topor-Madry, Roman and Stepaniak, Urszula and Malyutina, Sofia and Baldassarre, Damiano and Sennblad, Bengt and Tremoli, Elena and de Faire, Ulf and Veglia, Fabrizio and Ford, Ian and Jukema, J Wouter and Westendorp, Rudi G J and de Borst, Gert Jan and de Jong, Pim A and Algra, Ale and Spiering, Wilko and Maitland-van der Zee, Anke H and Klungel, Olaf H and de Boer, Anthonius and Doevendans, Pieter A and Eaton, Charles B and Robinson, Jennifer G and Duggan, David and Kjekshus, John and Downs, John R and Gotto, Antonio M and Keech, Anthony C and Marchioli, Roberto and Tognoni, Gianni and Sever, Peter S and Poulter, Neil R and Waters, David D and Pedersen, Terje R and Amarenco, Pierre and Nakamura, Haruo and McMurray, John J V and Lewsey, James D and Chasman, Daniel I and Ridker, Paul M and Maggioni, Aldo P and Tavazzi, Luigi and Ray, Kausik K and Seshasai, Sreenivasa Rao Kondapally and Manson, JoAnn E and Price, Jackie F and Whincup, Peter H and Morris, Richard W and Lawlor, Debbie A and Smith, George Davey and Ben-Shlomo, Yoav and Schreiner, Pamela J and Fornage, Myriam and Siscovick, David S and Cushman, Mary and Kumari, Meena and Wareham, Nick J and Verschuren, W M Monique and Redline, Susan and Patel, Sanjay R and Whittaker, John C and Hamsten, Anders and Delaney, Joseph A and Dale, Caroline and Gaunt, Tom R and Wong, Andrew and Kuh, Diana and Hardy, Rebecca and Kathiresan, Sekar and Castillo, Berta A and van der Harst, Pim and Brunner, Eric J and Tybjaerg-Hansen, Anne and Marmot, Michael G and Krauss, Ronald M and Tsai, Michael and Coresh, Josef and Hoogeveen, Ronald C and Psaty, Bruce M and Lange, Leslie A and Hakonarson, Hakon and Dudbridge, Frank and Humphries, Steve E and Talmud, Philippa J and Kivimaki, Mika and Timpson, Nicholas J and Langenberg, Claudia and Asselbergs, Folkert W and Voevoda, Mikhail and Bobak, Martin and Pikhart, Hynek and Wilson, James G and Reiner, Alex P and Keating, Brendan J and Hingorani, Aroon D and Sattar, Naveed} } @article {7976, title = {Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity.}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {2019 01 22}, pages = {376}, abstract = {

Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.

}, keywords = {Adolescent, Adult, African Continental Ancestry Group, Aged, Aged, 80 and over, Asian Continental Ancestry Group, Brazil, Calcium-Binding Proteins, Cholesterol, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Exercise, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Hispanic Americans, Humans, LIM-Homeodomain Proteins, Lipid Metabolism, Lipids, Male, Membrane Proteins, Microtubule-Associated Proteins, Middle Aged, Muscle Proteins, Nerve Tissue Proteins, Transcription Factors, Triglycerides, Young Adult}, issn = {2041-1723}, doi = {10.1038/s41467-018-08008-w}, author = {Kilpel{\"a}inen, Tuomas O and Bentley, Amy R and Noordam, Raymond and Sung, Yun Ju and Schwander, Karen and Winkler, Thomas W and Jakupovi{\'c}, Hermina and Chasman, Daniel I and Manning, Alisa and Ntalla, Ioanna and Aschard, Hugues and Brown, Michael R and de Las Fuentes, Lisa and Franceschini, Nora and Guo, Xiuqing and Vojinovic, Dina and Aslibekyan, Stella and Feitosa, Mary F and Kho, Minjung and Musani, Solomon K and Richard, Melissa and Wang, Heming and Wang, Zhe and Bartz, Traci M and Bielak, Lawrence F and Campbell, Archie and Dorajoo, Rajkumar and Fisher, Virginia and Hartwig, Fernando P and Horimoto, Andrea R V R and Li, Changwei and Lohman, Kurt K and Marten, Jonathan and Sim, Xueling and Smith, Albert V and Tajuddin, Salman M and Alver, Maris and Amini, Marzyeh and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Evangelou, Evangelos and Gao, Chuan and Graff, Mariaelisa and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Jackson, Anne U and Zhao, Jing Hua and Kraja, Aldi T and Kuhnel, Brigitte and Laguzzi, Federica and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Rauramaa, Rainer and Riaz, Muhammad and Robino, Antonietta and Rueedi, Rico and Stringham, Heather M and Takeuchi, Fumihiko and van der Most, Peter J and Varga, Tibor V and Verweij, Niek and Ware, Erin B and Wen, Wanqing and Li, Xiaoyin and Yanek, Lisa R and Amin, Najaf and Arnett, Donna K and Boerwinkle, Eric and Brumat, Marco and Cade, Brian and Canouil, Micka{\"e}l and Chen, Yii-Der Ida and Concas, Maria Pina and Connell, John and de Mutsert, Ren{\'e}e and de Silva, H Janaka and de Vries, Paul S and Demirkan, Ayse and Ding, Jingzhong and Eaton, Charles B and Faul, Jessica D and Friedlander, Yechiel and Gabriel, Kelley P and Ghanbari, Mohsen and Giulianini, Franco and Gu, Chi Charles and Gu, Dongfeng and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hunt, Steven C and Ikram, M Arfan and Jonas, Jost B and Koh, Woon-Puay and Komulainen, Pirjo and Krieger, Jose E and Kritchevsky, Stephen B and Kutalik, Zolt{\'a}n and Kuusisto, Johanna and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Leander, Karin and Lemaitre, Rozenn N and Lewis, Cora E and Liang, Jingjing and Liu, Jianjun and M{\"a}gi, Reedik and Manichaikul, Ani and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Mohlke, Karen L and Mosley, Thomas H and Murray, Alison D and Nalls, Mike A and Nang, Ei-Ei Khaing and Nelson, Christopher P and Nona, Sotoodehnia and Norris, Jill M and Nwuba, Chiamaka Vivian and O{\textquoteright}Connell, Jeff and Palmer, Nicholette D and Papanicolau, George J and Pazoki, Raha and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Porteous, David J and Poveda, Alaitz and Raitakari, Olli T and Rich, Stephen S and Risch, Neil and Robinson, Jennifer G and Rose, Lynda M and Rudan, Igor and Schreiner, Pamela J and Scott, Robert A and Sidney, Stephen S and Sims, Mario and Smith, Jennifer A and Snieder, Harold and Sofer, Tamar and Starr, John M and Sternfeld, Barbara and Strauch, Konstantin and Tang, Hua and Taylor, Kent D and Tsai, Michael Y and Tuomilehto, Jaakko and Uitterlinden, Andr{\'e} G and van der Ende, M Yldau and van Heemst, Diana and Voortman, Trudy and Waldenberger, Melanie and Wennberg, Patrik and Wilson, Gregory and Xiang, Yong-Bing and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and de Faire, Ulf and Deary, Ian J and Elliott, Paul and Esko, T{\~o}nu and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Kato, Norihiro and Laakso, Markku and Lakka, Timo A and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Samani, Nilesh J and Shu, Xiao-Ou and van der Harst, Pim and van Vliet-Ostaptchouk, Jana V and Vollenweider, Peter and Wagenknecht, Lynne E and Wang, Ya X and Wareham, Nicholas J and Weir, David R and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Evans, Michele K and Franks, Paul W and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kelly, Tanika N and Liu, Yongmei and North, Kari E and Pereira, Alexandre C and Ridker, Paul M and Tai, E Shyong and van Dam, Rob M and Fox, Ervin R and Kardia, Sharon L R and Liu, Ching-Ti and Mook-Kanamori, Dennis O and Province, Michael A and Redline, Susan and van Duijn, Cornelia M and Rotter, Jerome I and Kooperberg, Charles B and Gauderman, W James and Psaty, Bruce M and Rice, Kenneth and Munroe, Patricia B and Fornage, Myriam and Cupples, L Adrienne and Rotimi, Charles N and Morrison, Alanna C and Rao, Dabeeru C and Loos, Ruth J F} } @article {8839, title = {Supplemental Association of Clonal Hematopoiesis With Incident Heart~Failure.}, journal = {J Am Coll Cardiol}, volume = {78}, year = {2021}, month = {2021 07 06}, pages = {42-52}, abstract = {

BACKGROUND: Age-related clonal hematopoiesis of indeterminate potential (CHIP), defined as clonally expanded leukemogenic sequence variations (particularly in DNMT3A, TET2, ASXL1, and JAK2) in asymptomatic individuals, is associated with cardiovascular events, including recurrent heart failure (HF).

OBJECTIVES: This study sought to evaluate whether CHIP is associated with incident HF.

METHODS: CHIP status was obtained from whole exome or genome sequencing of blood DNA in participants without prevalent HF or hematological malignancy from 5 cohorts. Cox proportional hazards models were performed within each cohort, adjusting for demographic and clinical risk factors, followed by fixed-effect meta-analyses. Large CHIP clones (defined as variant allele frequency >10\%), HF with or without baseline coronary heart disease, and left ventricular ejection fraction were evaluated in secondary analyses.

RESULTS: Of 56,597 individuals (59\% women, mean age 58 years at baseline), 3,406 (6\%) had CHIP, and 4,694 developed HF (8.3\%) over up to 20 years of follow-up. CHIP was prospectively associated with a 25\% increased risk of HF in meta-analysis (hazard ratio: 1.25; 95\% confidence interval: 1.13-1.38) with consistent associations across cohorts. ASXL1, TET2, and JAK2 sequence variations were each associated with an increased risk of HF, whereas DNMT3A sequence variations were not associated with HF. Secondary analyses suggested large CHIP was associated with a greater risk of HF (hazard ratio: 1.29; 95\% confidence interval: 1.15-1.44), and the associations for CHIP on HF with and without prior coronary heart disease were homogenous. ASXL1 sequence variations were associated with reduced left ventricular ejection fraction.

CONCLUSIONS: CHIP, particularly sequence variations in ASXL1, TET2, and JAK2, represents a new risk factor for HF.

}, keywords = {Aged, Clonal Hematopoiesis, Correlation of Data, Demography, DNA-Binding Proteins, Female, Heart Failure, Humans, Janus Kinase 2, Male, Middle Aged, Mutation, Proportional Hazards Models, Proto-Oncogene Proteins, Repressor Proteins, Risk Factors, Stroke Volume, Ventricular Dysfunction, Left, Whole Exome Sequencing}, issn = {1558-3597}, doi = {10.1016/j.jacc.2021.04.085}, author = {Yu, Bing and Roberts, Mary B and Raffield, Laura M and Zekavat, Seyedeh Maryam and Nguyen, Ngoc Quynh H and Biggs, Mary L and Brown, Michael R and Griffin, Gabriel and Desai, Pinkal and Correa, Adolfo and Morrison, Alanna C and Shah, Amil M and Niroula, Abhishek and Uddin, Md Mesbah and Honigberg, Michael C and Ebert, Benjamin L and Psaty, Bruce M and Whitsel, Eric A and Manson, JoAnn E and Kooperberg, Charles and Bick, Alexander G and Ballantyne, Christie M and Reiner, Alex P and Natarajan, Pradeep and Eaton, Charles B} } @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} }