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1. Rare variant contribution to the heritability of coronary artery disease

Author

Ghislain Rocheleau, Shoa L. Clarke, Gaëlle Auguste, Natalie R. Hasbani, Alanna C. Morrison, Adam S. Heath, Lawrence F. Bielak, Kruthika R. Iyer, Erica P. Young, Nathan O. Stitziel, Goo Jun, Cecelia Laurie, Jai G. Broome, Alyna T. Khan, Donna K. Arnett, Lewis C. Becker, Joshua C. Bis, Eric Boerwinkle, Donald W. Bowden, April P. Carson, Patrick T. Ellinor, Myriam Fornage, Nora Franceschini, Barry I. Freedman, Nancy L. Heard-Costa, Lifang Hou, Yii-Der Ida Chen, Eimear E. Kenny, Charles Kooperberg, Brian G. Kral, Ruth J. F. Loos, Sharon M. Lutz, JoAnn E. Manson, Lisa W. Martin, Braxton D. Mitchell, Rami Nassir, Nicholette D. Palmer, Wendy S. Post, Michael H. Preuss, Bruce M. Psaty, Laura M. Raffield, Elizabeth A. Regan, Stephen S. Rich, Jennifer A. Smith, Kent D. Taylor, Lisa R. Yanek, Kendra A. Young, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Austin T. Hilliard, Catherine Tcheandjieu, Patricia A. Peyser, Ramachandran S. Vasan, Jerome I. Rotter, Clint L. Miller, Themistocles L. Assimes, Paul S. de Vries, and Ron Do

Subjects
Science
Abstract

Abstract Whole genome sequences (WGS) enable discovery of rare variants which may contribute to missing heritability of coronary artery disease (CAD). To measure their contribution, we apply the GREML-LDMS-I approach to WGS of 4949 cases and 17,494 controls of European ancestry from the NHLBI TOPMed program. We estimate CAD heritability at 34.3% assuming a prevalence of 8.2%. Ultra-rare (minor allele frequency ≤ 0.1%) variants with low linkage disequilibrium (LD) score contribute ~50% of the heritability. We also investigate CAD heritability enrichment using a diverse set of functional annotations: i) constraint; ii) predicted protein-altering impact; iii) cis-regulatory elements from a cell-specific chromatin atlas of the human coronary; and iv) annotation principal components representing a wide range of functional processes. We observe marked enrichment of CAD heritability for most functional annotations. These results reveal the predominant role of ultra-rare variants in low LD on the heritability of CAD. Moreover, they highlight several functional processes including cell type-specific regulatory mechanisms as key drivers of CAD genetic risk.

Published
2024
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2. Whole-genome sequencing in 333,100 individuals reveals rare non-coding single variant and aggregate associations with height

Author

Gareth Hawkes, Robin N. Beaumont, Zilin Li, Ravi Mandla, Xihao Li, Christine M. Albert, Donna K. Arnett, Allison E. Ashley-Koch, Aneel A. Ashrani, Kathleen C. Barnes, Eric Boerwinkle, Jennifer A. Brody, April P. Carson, Nathalie Chami, Yii-Der Ida Chen, Mina K. Chung, Joanne E. Curran, Dawood Darbar, Patrick T. Ellinor, Myrian Fornage, Victor R. Gordeuk, Xiuqing Guo, Jiang He, Chii-Min Hwu, Rita R. Kalyani, Robert Kaplan, Sharon L. R. Kardia, Charles Kooperberg, Ruth J. F. Loos, Steven A. Lubitz, Ryan L. Minster, Take Naseri, Satupa’itea Viali, Braxton D. Mitchell, Joanne M. Murabito, Nicholette D. Palmer, Bruce M. Psaty, Susan Redline, M. Benjamin Shoemaker, Edwin K. Silverman, Marilyn J. Telen, Scott T. Weiss, Lisa R. Yanek, Hufeng Zhou, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ching-Ti Liu, Kari E. North, Anne E. Justice, Jonathan M. Locke, Nick Owens, Anna Murray, Kashyap Patel, Timothy M. Frayling, Caroline F. Wright, Andrew R. Wood, Xihong Lin, Alisa Manning, and Michael N. Weedon

Subjects
Science
Abstract

Abstract The role of rare non-coding variation in complex human phenotypes is still largely unknown. To elucidate the impact of rare variants in regulatory elements, we performed a whole-genome sequencing association analysis for height using 333,100 individuals from three datasets: UK Biobank (N = 200,003), TOPMed (N = 87,652) and All of Us (N = 45,445). We performed rare (

Published
2024
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3. Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores

Author

Yana Hrytsenko, Benjamin Shea, Michael Elgart, Nuzulul Kurniansyah, Genevieve Lyons, Alanna C. Morrison, April P. Carson, Bernhard Haring, Braxton D. Mitchell, Bruce M. Psaty, Byron C. Jaeger, C. Charles Gu, Charles Kooperberg, Daniel Levy, Donald Lloyd-Jones, Eunhee Choi, Jennifer A. Brody, Jennifer A. Smith, Jerome I. Rotter, Matthew Moll, Myriam Fornage, Noah Simon, Peter Castaldi, Ramon Casanova, Ren-Hua Chung, Robert Kaplan, Ruth J. F. Loos, Sharon L. R. Kardia, Stephen S. Rich, Susan Redline, Tanika Kelly, Timothy O’Connor, Wei Zhao, Wonji Kim, Xiuqing Guo, Yii-Der Ida Chen, The Trans-Omics in Precision Medicine Consortium, and Tamar Sofer

Subjects
Medicine, Science
Abstract

Abstract We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We developed a two-model ensemble, consisting of a baseline model, where prediction is based on demographic and clinical variables only, and a genetic model, where we also include PRSs. We evaluate the use of a linear versus a non-linear model at both the baseline and the genetic model levels and assess the improvement in performance when incorporating multiple PRSs. We report the ensemble model’s performance as percentage variance explained (PVE) on a held-out test dataset. A non-linear baseline model improved the PVEs from 28.1 to 30.1% (SBP) and 14.3% to 17.4% (DBP) compared with a linear baseline model. Including seven PRSs in the genetic model computed based on the largest available GWAS of SBP/DBP improved the genetic model PVE from 4.8 to 5.1% (SBP) and 4.7 to 5% (DBP) compared to using a single PRS. Adding additional 14 PRSs computed based on two independent GWASs further increased the genetic model PVE to 6.3% (SBP) and 5.7% (DBP). PVE differed across self-reported race/ethnicity groups, with primarily all non-White groups benefitting from the inclusion of additional PRSs. In summary, non-linear ML models improves BP prediction in models incorporating diverse populations.

Published
2024
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4. Determinants of mosaic chromosomal alteration fitness

Author

Yash Pershad, Taralynn Mack, Hannah Poisner, Yasminka A. Jakubek, Adrienne M. Stilp, Braxton D. Mitchell, Joshua P. Lewis, Eric Boerwinkle, Ruth J. F. Loos, Nathalie Chami, Zhe Wang, Kathleen Barnes, Nathan Pankratz, Myriam Fornage, Susan Redline, Bruce M. Psaty, Joshua C. Bis, Ali Shojaie, Edwin K. Silverman, Michael H. Cho, Jeong H. Yun, Dawn DeMeo, Daniel Levy, Andrew D. Johnson, Rasika A. Mathias, Margaret A. Taub, Donna Arnett, Kari E. North, Laura M. Raffield, April P. Carson, Margaret F. Doyle, Stephen S. Rich, Jerome I. Rotter, Xiuqing Guo, Nancy J. Cox, Dan M. Roden, Nora Franceschini, Pinkal Desai, Alex P. Reiner, Paul L. Auer, Paul A. Scheet, Siddhartha Jaiswal, Joshua S. Weinstock, and Alexander G. Bick

Subjects
Science
Abstract

Abstract Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well understood. We used the Passenger-Approximated Clonal Expansion Rate (PACER) method to estimate clonal expansion rate as PACER scores for 6,381 individuals in the NHLBI TOPMed cohort with gain, loss, and copy-neutral loss of heterozygosity mCAs. Our mCA fitness estimates, derived by aggregating per-individual PACER scores, were correlated (R2 = 0.49) with an alternative approach that estimated fitness of mCAs in the UK Biobank using population-level distributions of clonal fraction. Among individuals with JAK2 V617F clonal hematopoiesis of indeterminate potential or mCAs affecting the JAK2 gene on chromosome 9, PACER score was strongly correlated with erythrocyte count. In a cross-sectional analysis, genome-wide association study of estimates of mCA expansion rate identified a TCL1A locus variant associated with mCA clonal expansion rate, with suggestive variants in NRIP1 and TERT.

Published
2024
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5. A polygenic risk score of atrial fibrillation improves prediction of lifetime risk for heart failure

Author

Taryn Alkis, Xi Luo, Katherine Wall, Jennifer Brody, Traci Bartz, Patricia P. Chang, Faye L. Norby, Ron C. Hoogeveen, Alanna C. Morrison, Christie M. Ballantyne, Josef Coresh, Eric Boerwinkle, Bruce M. Psaty, Amil M. Shah, and Bing Yu

Subjects
Polygenic risk score, Heart failure, Risk prediction, Cohort, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Abstract Aims Heart failure (HF) has shared genetic architecture with its risk factors: atrial fibrillation (AF), body mass index (BMI), coronary heart disease (CHD), systolic blood pressure (SBP), and type 2 diabetes (T2D). We aim to assess the association and risk prediction performance of risk‐factor polygenic risk scores (PRSs) for incident HF and its subtypes in bi‐racial populations. Methods and results Five PRSs were constructed for AF, BMI, CHD, SBP, and T2D in White participants of the Atherosclerosis Risk in Communities (ARIC) study. The associations between PRSs and incident HF and its subtypes were assessed using Cox models, and the risk prediction performance of PRSs was assessed using C statistics. Replication was performed in the ARIC study Black and Cardiovascular Health Study (CHS) White participants. In 8624 ARIC study Whites, 1922 (31% cumulative incidence) HF cases developed over 30 years of follow‐up. PRSs of AF, BMI, and CHD were associated with incident HF (P

Published
2024
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6. Proteomics for heart failure risk stratification: a systematic review

Author

Kayode O. Kuku, Rebecca Oyetoro, Maryam Hashemian, Alicia A. Livinski, Joseph J. Shearer, Jungnam Joo, Bruce M. Psaty, Daniel Levy, Peter Ganz, and Véronique L. Roger

Subjects
Proteomics, Heart failure, Aptamer-assay, Antibody assay, Systematic review, Mortality, Medicine
Abstract

Abstract Background Heart failure (HF) is a complex clinical syndrome with persistently high mortality. High-throughput proteomic technologies offer new opportunities to improve HF risk stratification, but their contribution remains to be clearly defined. We aimed to systematically review prognostic studies using high-throughput proteomics to identify protein signatures associated with HF mortality. Methods We searched four databases and two clinical trial registries for articles published from 2012 to 2023. HF proteomics studies measuring high numbers of proteins using aptamer or antibody-based affinity platforms on human plasma or serum with outcomes of all-cause or cardiovascular death were included. Two reviewers independently screened articles, extracted data, and assessed the risk of bias. A third reviewer resolved conflicts. We assessed the risk of bias using the Risk Of Bias In Non-randomized Studies—of Exposure tool. Results Out of 5131 unique articles identified, nine articles were included in the review. The nine studies were observational; three used the aptamer platform, and six used the antibody platform. We found considerable heterogeneity across studies in measurement panels, HF definitions, ejection fraction categorization, follow-up duration, and outcome definitions, and a lack of risk estimates for most protein associations. Hence, we proceeded with a systematic review rather than a meta-analysis. In two comparable aptamer studies in patients with HF with reduced ejection fraction, 21 proteins were identified in common for the association with all-cause death. Among these, one protein, WAP four-disulfide core domain protein 2 was also reported in an antibody study on HFrEF and for the association with CV death. We proposed standardized reporting criteria to facilitate the interpretation of future studies. Conclusions In this systematic review of nine studies evaluating the association of proteomics with mortality in HF, we identified a limited number of proteins common across several studies. Heterogeneity across studies compromised drawing broad inferences, underscoring the importance of standardized approaches to reporting.

Published
2024
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7. Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications

Author

Rosalie B. T. M. Sterenborg, Inga Steinbrenner, Yong Li, Melissa N. Bujnis, Tatsuhiko Naito, Eirini Marouli, Tessel E. Galesloot, Oladapo Babajide, Laura Andreasen, Arne Astrup, Bjørn Olav Åsvold, Stefania Bandinelli, Marian Beekman, John P. Beilby, Jette Bork-Jensen, Thibaud Boutin, Jennifer A. Brody, Suzanne J. Brown, Ben Brumpton, Purdey J. Campbell, Anne R. Cappola, Graziano Ceresini, Layal Chaker, Daniel I. Chasman, Maria Pina Concas, Rodrigo Coutinho de Almeida, Simone M. Cross, Francesco Cucca, Ian J. Deary, Alisa Devedzic Kjaergaard, Justin B. Echouffo Tcheugui, Christina Ellervik, Johan G. Eriksson, Luigi Ferrucci, Jan Freudenberg, GHS DiscovEHR, Regeneron Genetics Center, Christian Fuchsberger, Christian Gieger, Franco Giulianini, Martin Gögele, Sarah E. Graham, Niels Grarup, Ivana Gunjača, Torben Hansen, Barbara N. Harding, Sarah E. Harris, Stig Haunsø, Caroline Hayward, Jennie Hui, Till Ittermann, J. Wouter Jukema, Eero Kajantie, Jørgen K. Kanters, Line L. Kårhus, Lambertus A. L. M. Kiemeney, Margreet Kloppenburg, Brigitte Kühnel, Jari Lahti, Claudia Langenberg, Bruno Lapauw, Graham Leese, Shuo Li, David C. M. Liewald, Allan Linneberg, Jesus V. T. Lominchar, Jian’an Luan, Nicholas G. Martin, Antonela Matana, Marcel E. Meima, Thomas Meitinger, Ingrid Meulenbelt, Braxton D. Mitchell, Line T. Møllehave, Samia Mora, Silvia Naitza, Matthias Nauck, Romana T. Netea-Maier, Raymond Noordam, Casia Nursyifa, Yukinori Okada, Stefano Onano, Areti Papadopoulou, Colin N. A. Palmer, Cristian Pattaro, Oluf Pedersen, Annette Peters, Maik Pietzner, Ozren Polašek, Peter P. Pramstaller, Bruce M. Psaty, Ante Punda, Debashree Ray, Paul Redmond, J. Brent Richards, Paul M. Ridker, Tom C. Russ, Kathleen A. Ryan, Morten Salling Olesen, Ulla T. Schultheiss, Elizabeth Selvin, Moneeza K. Siddiqui, Carlo Sidore, P. Eline Slagboom, Thorkild I. A. Sørensen, Enrique Soto-Pedre, Tim D. Spector, Beatrice Spedicati, Sundararajan Srinivasan, John M. Starr, David J. Stott, Toshiko Tanaka, Vesela Torlak, Stella Trompet, Johanna Tuhkanen, André G. Uitterlinden, Erik B. van den Akker, Tibbert van den Eynde, Melanie M. van der Klauw, Diana van Heemst, Charlotte Verroken, W. Edward Visser, Dina Vojinovic, Henry Völzke, Melanie Waldenberger, John P. Walsh, Nicholas J. Wareham, Stefan Weiss, Cristen J. Willer, Scott G. Wilson, Bruce H. R. Wolffenbuttel, Hanneke J. C. M. Wouters, Margaret J. Wright, Qiong Yang, Tatijana Zemunik, Wei Zhou, Gu Zhu, Sebastian Zöllner, Johannes W. A. Smit, Robin P. Peeters, Anna Köttgen, Alexander Teumer, and Marco Medici

Subjects
Science
Abstract

Abstract To date only a fraction of the genetic footprint of thyroid function has been clarified. We report a genome-wide association study meta-analysis of thyroid function in up to 271,040 individuals of European ancestry, including reference range thyrotropin (TSH), free thyroxine (FT4), free and total triiodothyronine (T3), proxies for metabolism (T3/FT4 ratio) as well as dichotomized high and low TSH levels. We revealed 259 independent significant associations for TSH (61% novel), 85 for FT4 (67% novel), and 62 novel signals for the T3 related traits. The loci explained 14.1%, 6.0%, 9.5% and 1.1% of the total variation in TSH, FT4, total T3 and free T3 concentrations, respectively. Genetic correlations indicate that TSH associated loci reflect the thyroid function determined by free T3, whereas the FT4 associations represent the thyroid hormone metabolism. Polygenic risk score and Mendelian randomization analyses showed the effects of genetically determined variation in thyroid function on various clinical outcomes, including cardiovascular risk factors and diseases, autoimmune diseases, and cancer. In conclusion, our results improve the understanding of thyroid hormone physiology and highlight the pleiotropic effects of thyroid function on various diseases.

Published
2024
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8. Multi-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance

Author

Hao Mei, Jeannette Simino, Lianna Li, Fan Jiang, Joshua C. Bis, Gail Davies, W David Hill, Charley Xia, Vilmundur Gudnason, Qiong Yang, Jari Lahti, Jennifer A. Smith, Mirna Kirin, Philip De Jager, Nicola J. Armstrong, Mohsen Ghanbari, Ivana Kolcic, Christopher Moran, Alexander Teumer, Murali Sargurupremraj, Shamsed Mahmud, Myriam Fornage, Wei Zhao, Claudia L. Satizabal, Ozren Polasek, Katri Räikkönen, David C. Liewald, Georg Homuth, Michele Callisaya, Karen A. Mather, B. Gwen Windham, Tatijana Zemunik, Aarno Palotie, Alison Pattie, Sandra van der Auwera, Anbupalam Thalamuthu, David S. Knopman, Igor Rudan, John M. Starr, Katharina Wittfeld, Nicole A. Kochan, Michael E. Griswold, Veronique Vitart, Henry Brodaty, Rebecca Gottesman, Simon R. Cox, Bruce M. Psaty, Eric Boerwinkle, Daniel I. Chasman, Francine Grodstein, Perminder S. Sachdev, Velandai Srikanth, Caroline Hayward, James F. Wilson, Johan G. Eriksson, Sharon L. R. Kardia, Hans J. Grabe, David A. Bennett, M. Arfan Ikram, Ian J. Deary, Cornelia M. van Duijn, Lenore Launer, Annette L. Fitzpatrick, Sudha Seshadri, Jan Bressler, Stephanie Debette, and Thomas H. Mosley

Subjects
Genome-wide association study, Memory, Expression, Immunity, Multi-omics, Delayed recall, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background Uncovering the functional relevance underlying verbal declarative memory (VDM) genome-wide association study (GWAS) results may facilitate the development of interventions to reduce age-related memory decline and dementia. Methods We performed multi-omics and pathway enrichment analyses of paragraph (PAR-dr) and word list (WL-dr) delayed recall GWAS from 29,076 older non-demented individuals of European descent. We assessed the relationship between single-variant associations and expression quantitative trait loci (eQTLs) in 44 tissues and methylation quantitative trait loci (meQTLs) in the hippocampus. We determined the relationship between gene associations and transcript levels in 53 tissues, annotation as immune genes, and regulation by transcription factors (TFs) and microRNAs. To identify significant pathways, gene set enrichment was tested in each cohort and meta-analyzed across cohorts. Analyses of differential expression in brain tissues were conducted for pathway component genes. Results The single-variant associations of VDM showed significant linkage disequilibrium (LD) with eQTLs across all tissues and meQTLs within the hippocampus. Stronger WL-dr gene associations correlated with reduced expression in four brain tissues, including the hippocampus. More robust PAR-dr and/or WL-dr gene associations were intricately linked with immunity and were influenced by 31 TFs and 2 microRNAs. Six pathways, including type I diabetes, exhibited significant associations with both PAR-dr and WL-dr. These pathways included fifteen MHC genes intricately linked to VDM performance, showing diverse expression patterns based on cognitive status in brain tissues. Conclusions VDM genetic associations influence expression regulation via eQTLs and meQTLs. The involvement of TFs, microRNAs, MHC genes, and immune-related pathways contributes to VDM performance in older individuals.

Published
2024
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9. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements

Author

Markus Scholz, Katrin Horn, Janne Pott, Matthias Wuttke, Andreas Kühnapfel, M. Kamal Nasr, Holger Kirsten, Yong Li, Anselm Hoppmann, Mathias Gorski, Sahar Ghasemi, Man Li, Adrienne Tin, Jin-Fang Chai, Massimiliano Cocca, Judy Wang, Teresa Nutile, Masato Akiyama, Bjørn Olav Åsvold, Nisha Bansal, Mary L. Biggs, Thibaud Boutin, Hermann Brenner, Ben Brumpton, Ralph Burkhardt, Jianwen Cai, Archie Campbell, Harry Campbell, John Chalmers, Daniel I. Chasman, Miao Ling Chee, Miao Li Chee, Xu Chen, Ching-Yu Cheng, Renata Cifkova, Martha Daviglus, Graciela Delgado, Katalin Dittrich, Todd L. Edwards, Karlhans Endlich, J. Michael Gaziano, Ayush Giri, Franco Giulianini, Scott D. Gordon, Daniel F. Gudbjartsson, Stein Hallan, Pavel Hamet, Catharina A. Hartman, Caroline Hayward, Iris M. Heid, Jacklyn N. Hellwege, Bernd Holleczek, Hilma Holm, Nina Hutri-Kähönen, Kristian Hveem, Berend Isermann, Jost B. Jonas, Peter K. Joshi, Yoichiro Kamatani, Masahiro Kanai, Mika Kastarinen, Chiea Chuen Khor, Wieland Kiess, Marcus E. Kleber, Antje Körner, Peter Kovacs, Alena Krajcoviechova, Holly Kramer, Bernhard K. Krämer, Mikko Kuokkanen, Mika Kähönen, Leslie A. Lange, James P. Lash, Terho Lehtimäki, Hengtong Li, Bridget M. Lin, Jianjun Liu, Markus Loeffler, Leo-Pekka Lyytikäinen, Patrik K. E. Magnusson, Nicholas G. Martin, Koichi Matsuda, Yuri Milaneschi, Pashupati P. Mishra, Nina Mononen, Grant W. Montgomery, Dennis O. Mook-Kanamori, Josyf C. Mychaleckyj, Winfried März, Matthias Nauck, Kjell Nikus, Ilja M. Nolte, Raymond Noordam, Yukinori Okada, Isleifur Olafsson, Albertine J. Oldehinkel, Brenda W. J. H. Penninx, Markus Perola, Nicola Pirastu, Ozren Polasek, David J. Porteous, Tanja Poulain, Bruce M. Psaty, Ton J. Rabelink, Laura M. Raffield, Olli T. Raitakari, Humaira Rasheed, Dermot F. Reilly, Kenneth M. Rice, Anne Richmond, Paul M. Ridker, Jerome I. Rotter, Igor Rudan, Charumathi Sabanayagam, Veikko Salomaa, Neil Schneiderman, Ben Schöttker, Mario Sims, Harold Snieder, Klaus J. Stark, Kari Stefansson, Hannah Stocker, Michael Stumvoll, Patrick Sulem, Gardar Sveinbjornsson, Per O. Svensson, E-Shyong Tai, Kent D. Taylor, Bamidele O. Tayo, Andrej Teren, Yih-Chung Tham, Joachim Thiery, Chris H. L. Thio, Laurent F. Thomas, Johanne Tremblay, Anke Tönjes, Peter J. van der Most, Veronique Vitart, Uwe Völker, Ya Xing Wang, Chaolong Wang, Wen Bin Wei, John B. Whitfield, Sarah H. Wild, James F. Wilson, Thomas W. Winkler, Tien-Yin Wong, Mark Woodward, Xueling Sim, Audrey Y. Chu, Mary F. Feitosa, Unnur Thorsteinsdottir, Adriana M. Hung, Alexander Teumer, Nora Franceschini, Afshin Parsa, Anna Köttgen, Pascal Schlosser, and Cristian Pattaro

Subjects
Science
Abstract

Abstract X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases. We performed a sex-stratified cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits (n = 908,697), identifying 23 loci genome-wide significantly associated with two of the traits: 7 for uric acid and 16 for estimated glomerular filtration rate (eGFR), including four novel eGFR loci containing the functionally plausible prioritized genes ACSL4, CLDN2, TSPAN6 and the female-specific DRP2. Further, we identified five novel sex-interactions, comprising male-specific effects at FAM9B and AR/EDA2R, and three sex-differential findings with larger genetic effect sizes in males at DCAF12L1 and MST4 and larger effect sizes in females at HPRT1. All prioritized genes in loci showing significant sex-interactions were located next to androgen response elements (ARE). Five ARE genes showed sex-differential expressions. This study contributes new insights into sex-dimorphisms of kidney traits along with new prioritized gene targets for further molecular research.

Published
2024
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10. Investigating peripheral blood monocyte and T-cell subsets as non-invasive biomarkers for asymptomatic hepatic steatosis: results from the Multi-Ethnic Study of Atherosclerosis

Author

Rhys W. Niedecker, Joseph A. Delaney, Margaret F. Doyle, Andrew D. Sparks, Colleen M. Sitlani, Petra Buzkova, Irfan Zeb, Russell P. Tracy, Bruce M. Psaty, Matthew J. Budoff, and Nels C. Olson

Subjects
hepatic attenuation, liver-spleen index, metabolic dysfunction-associated fatty liver disease, computed tomography, T cells, peripheral blood monocular cells, Immunologic diseases. Allergy, RC581-607
Abstract

BackgroundCirculating immune cells have gained interest as biomarkers of hepatic steatosis. Data on the relationships between immune cell subsets and early-stage steatosis in population-based cohorts are limited.MethodsThis study included 1,944 asymptomatic participants of the Multi-Ethnic Study of Atherosclerosis (MESA) with immune cell phenotyping and computed tomography measures of liver fat. Participants with heavy alcohol use were excluded. A liver-to-spleen ratio Hounsfield units (HU) 30% liver fat content, respectively. Logistic regression estimated cross-sectional associations of immune cell subsets with liver fat parameters adjusted for risk factors. We hypothesized that higher proportions of non-classical monocytes, Th1, Th17, and memory CD4+ T cells, and lower proportions of classical monocytes and naive CD4+ T cells, were associated with liver fat. Exploratory analyses evaluated additional immune cell phenotypes (n = 19).ResultsNone of the hypothesized cells were associated with presence of liver fat. Higher memory CD4+ T cells were associated with >30% liver fat content, but this was not significant after correction for multiple hypothesis testing (odds ratio (OR): 1.31, 95% confidence interval (CI): 1.03, 1.66). In exploratory analyses unadjusted for multiple testing, higher proportions of CD8+CD57+ T cells were associated with liver fat presence (OR: 1.21, 95% CI: 1.02, 1.44) and >30% liver fat content (OR: 1.34, 95% CI: 1.07, 1.69).ConclusionsHigher circulating memory CD4+ T cells may reflect liver fat severity. CD8+CD57+ cells were associated with liver fat presence and severity, but replication of findings is required.

Published
2024
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11. Identification of circulating proteins associated with general cognitive function among middle-aged and older adults

Author

Adrienne Tin, Alison E. Fohner, Qiong Yang, Jennifer A. Brody, Gail Davies, Jie Yao, Dan Liu, Ilana Caro, Joni V. Lindbohm, Michael R. Duggan, Osorio Meirelles, Sarah E. Harris, Valborg Gudmundsdottir, Adele M. Taylor, Albert Henry, Alexa S. Beiser, Ali Shojaie, Annabell Coors, Annette L. Fitzpatrick, Claudia Langenberg, Claudia L. Satizabal, Colleen M. Sitlani, Eleanor Wheeler, Elliot M. Tucker-Drob, Jan Bressler, Josef Coresh, Joshua C. Bis, Julián Candia, Lori L. Jennings, Maik Pietzner, Mark Lathrop, Oscar L. Lopez, Paul Redmond, Robert E. Gerszten, Stephen S. Rich, Susan R. Heckbert, Thomas R. Austin, Timothy M. Hughes, Toshiko Tanaka, Valur Emilsson, Ramachandran S. Vasan, Xiuqing Guo, Yineng Zhu, Christophe Tzourio, Jerome I. Rotter, Keenan A. Walker, Luigi Ferrucci, Mika Kivimäki, Monique M. B. Breteler, Simon R. Cox, Stephanie Debette, Thomas H. Mosley, Vilmundur G. Gudnason, Lenore J. Launer, Bruce M. Psaty, Sudha Seshadri, and Myriam Fornage

Subjects
Biology (General), QH301-705.5
Abstract

Abstract Identifying circulating proteins associated with cognitive function may point to biomarkers and molecular process of cognitive impairment. Few studies have investigated the association between circulating proteins and cognitive function. We identify 246 protein measures quantified by the SomaScan assay as associated with cognitive function (p

Published
2023
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12. Genetic insights into resting heart rate and its role in cardiovascular disease

Author

Yordi J. van de Vegte, Ruben N. Eppinga, M. Yldau van der Ende, Yanick P. Hagemeijer, Yuvaraj Mahendran, Elias Salfati, Albert V. Smith, Vanessa Y. Tan, Dan E. Arking, Ioanna Ntalla, Emil V. Appel, Claudia Schurmann, Jennifer A. Brody, Rico Rueedi, Ozren Polasek, Gardar Sveinbjornsson, Cecile Lecoeur, Claes Ladenvall, Jing Hua Zhao, Aaron Isaacs, Lihua Wang, Jian’an Luan, Shih-Jen Hwang, Nina Mononen, Kirsi Auro, Anne U. Jackson, Lawrence F. Bielak, Linyao Zeng, Nabi Shah, Maria Nethander, Archie Campbell, Tuomo Rankinen, Sonali Pechlivanis, Lu Qi, Wei Zhao, Federica Rizzi, Toshiko Tanaka, Antonietta Robino, Massimiliano Cocca, Leslie Lange, Martina Müller-Nurasyid, Carolina Roselli, Weihua Zhang, Marcus E. Kleber, Xiuqing Guo, Henry J. Lin, Francesca Pavani, Tessel E. Galesloot, Raymond Noordam, Yuri Milaneschi, Katharina E. Schraut, Marcel den Hoed, Frauke Degenhardt, Stella Trompet, Marten E. van den Berg, Giorgio Pistis, Yih-Chung Tham, Stefan Weiss, Xueling S. Sim, Hengtong L. Li, Peter J. van der Most, Ilja M. Nolte, Leo-Pekka Lyytikäinen, M. Abdullah Said, Daniel R. Witte, Carlos Iribarren, Lenore Launer, Susan M. Ring, Paul S. de Vries, Peter Sever, Allan Linneberg, Erwin P. Bottinger, Sandosh Padmanabhan, Bruce M. Psaty, Nona Sotoodehnia, Ivana Kolcic, The DCCT/EDIC Research Group, David O. Arnar, Daniel F. Gudbjartsson, Hilma Holm, Beverley Balkau, Claudia T. Silva, Christopher H. Newton-Cheh, Kjell Nikus, Perttu Salo, Karen L. Mohlke, Patricia A. Peyser, Heribert Schunkert, Mattias Lorentzon, Jari Lahti, Dabeeru C. Rao, Marilyn C. Cornelis, Jessica D. Faul, Jennifer A. Smith, Katarzyna Stolarz-Skrzypek, Stefania Bandinelli, Maria Pina Concas, Gianfranco Sinagra, Thomas Meitinger, Melanie Waldenberger, Moritz F. Sinner, Konstantin Strauch, Graciela E. Delgado, Kent D. Taylor, Jie Yao, Luisa Foco, Olle Melander, Jacqueline de Graaf, Renée de Mutsert, Eco J. C. de Geus, Åsa Johansson, Peter K. Joshi, Lars Lind, Andre Franke, Peter W. Macfarlane, Kirill V. Tarasov, Nicholas Tan, Stephan B. Felix, E-Shyong Tai, Debra Q. Quek, Harold Snieder, Johan Ormel, Martin Ingelsson, Cecilia Lindgren, Andrew P. Morris, Olli T. Raitakari, Torben Hansen, Themistocles Assimes, Vilmundur Gudnason, Nicholas J. Timpson, Alanna C. Morrison, Patricia B. Munroe, David P. Strachan, Niels Grarup, Ruth J. F. Loos, Susan R. Heckbert, Peter Vollenweider, Caroline Hayward, Kari Stefansson, Philippe Froguel, Leif Groop, Nicholas J. Wareham, Cornelia M. van Duijn, Mary F. Feitosa, Christopher J. O’Donnell, Mika Kähönen, Markus Perola, Michael Boehnke, Sharon L. R. Kardia, Jeanette Erdmann, Colin N. A. Palmer, Claes Ohlsson, David J. Porteous, Johan G. Eriksson, Claude Bouchard, Susanne Moebus, Peter Kraft, David R. Weir, Daniele Cusi, Luigi Ferrucci, Sheila Ulivi, Giorgia Girotto, Adolfo Correa, Stefan Kääb, Annette Peters, John C. Chambers, Jaspal S. Kooner, Winfried März, Jerome I. Rotter, Andrew A. Hicks, J. Gustav Smith, Lambertus A. L. M. Kiemeney, Dennis O. Mook-Kanamori, Brenda W. J. H. Penninx, Ulf Gyllensten, James F. Wilson, Stephen Burgess, Johan Sundström, Wolfgang Lieb, J. Wouter Jukema, Mark Eijgelsheim, Edward L. M. Lakatta, Ching-Yu Cheng, Marcus Dörr, Tien-Yin Wong, Charumathi Sabanayagam, Albertine J. Oldehinkel, Harriette Riese, Terho Lehtimäki, Niek Verweij, and Pim van der Harst

Subjects
Science
Abstract

Abstract Resting heart rate is associated with cardiovascular diseases and mortality in observational and Mendelian randomization studies. The aims of this study are to extend the number of resting heart rate associated genetic variants and to obtain further insights in resting heart rate biology and its clinical consequences. A genome-wide meta-analysis of 100 studies in up to 835,465 individuals reveals 493 independent genetic variants in 352 loci, including 68 genetic variants outside previously identified resting heart rate associated loci. We prioritize 670 genes and in silico annotations point to their enrichment in cardiomyocytes and provide insights in their ECG signature. Two-sample Mendelian randomization analyses indicate that higher genetically predicted resting heart rate increases risk of dilated cardiomyopathy, but decreases risk of developing atrial fibrillation, ischemic stroke, and cardio-embolic stroke. We do not find evidence for a linear or non-linear genetic association between resting heart rate and all-cause mortality in contrast to our previous Mendelian randomization study. Systematic alteration of key differences between the current and previous Mendelian randomization study indicates that the most likely cause of the discrepancy between these studies arises from false positive findings in previous one-sample MR analyses caused by weak-instrument bias at lower P-value thresholds. The results extend our understanding of resting heart rate biology and give additional insights in its role in cardiovascular disease development.

Published
2023
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13. Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups

Author

Nuzulul Kurniansyah, Matthew O. Goodman, Alyna T. Khan, Jiongming Wang, Elena Feofanova, Joshua C. Bis, Kerri L. Wiggins, Jennifer E. Huffman, Tanika Kelly, Tali Elfassy, Xiuqing Guo, Walter Palmas, Henry J. Lin, Shih-Jen Hwang, Yan Gao, Kendra Young, Gregory L. Kinney, Jennifer A. Smith, Bing Yu, Simin Liu, Sylvia Wassertheil-Smoller, JoAnn E. Manson, Xiaofeng Zhu, Yii-Der Ida Chen, I-Te Lee, C. Charles Gu, Donald M. Lloyd-Jones, Sebastian Zöllner, Myriam Fornage, Charles Kooperberg, Adolfo Correa, Bruce M. Psaty, Donna K. Arnett, Carmen R. Isasi, Stephen S. Rich, Robert C. Kaplan, Susan Redline, Braxton D. Mitchell, Nora Franceschini, Daniel Levy, Jerome I. Rotter, Alanna C. Morrison, and Tamar Sofer

Subjects
Science
Abstract

Abstract We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare “clumping-and-thresholding” (PRSice2) and LD-based (LDPred2) methods to construct PRSs from each of multiple GWAS, as well as multi-PRS approaches that sum PRSs with and without weights, including PRS-CSx. We use datasets from the MGB Biobank, TOPMed study, UK biobank, and from All of Us to train, assess, and validate PRSs in groups defined by self-reported race/ethnic background (Asian, Black, Hispanic/Latino, and White). For both SBP and DBP, the PRS-CSx based PRS, constructed as a weighted sum of PRSs developed from multiple independent GWAS, perform best across all race/ethnic backgrounds. Stratified analysis in All of Us shows that PRSs are better predictive of BP in females compared to males, individuals without obesity, and middle-aged (40-60 years) compared to older and younger individuals.

Published
2023
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14. Whole genome sequence analysis of apparent treatment resistant hypertension status in participants from the Trans-Omics for Precision Medicine program

Author

Nicole D. Armstrong, Vinodh Srinivasasainagendra, Farah Ammous, Themistocles L. Assimes, Amber L. Beitelshees, Jennifer Brody, Brian E. Cade, Yii-Der Ida Chen, Han Chen, Paul S. de Vries, James S. Floyd, Nora Franceschini, Xiuqing Guo, Jacklyn N. Hellwege, John S. House, Chii-Min Hwu, Sharon L. R. Kardia, Ethan M. Lange, Leslie A. Lange, Caitrin W. McDonough, May E. Montasser, Jeffrey R. O’Connell, Megan M. Shuey, Xiao Sun, Rikki M. Tanner, Zhe Wang, Wei Zhao, April P. Carson, Todd L. Edwards, Tanika N. Kelly, Eimear E. Kenny, Charles Kooperberg, Ruth J. F. Loos, Alanna C. Morrison, Alison Motsinger-Reif, Bruce M. Psaty, Dabeeru C. Rao, Susan Redline, Stephen S. Rich, Jerome I. Rotter, Jennifer A. Smith, Albert V. Smith, Marguerite R. Irvin, and Donna K. Arnett

Subjects
blood pressure, antihypertensive response, whole genome sequencing, TOPMed, treatment resistant hypertension, Genetics, QH426-470
Abstract

Introduction: Apparent treatment-resistant hypertension (aTRH) is characterized by the use of four or more antihypertensive (AHT) classes to achieve blood pressure (BP) control. In the current study, we conducted single-variant and gene-based analyses of aTRH among individuals from 12 Trans-Omics for Precision Medicine cohorts with whole-genome sequencing data.Methods: Cases were defined as individuals treated for hypertension (HTN) taking three different AHT classes, with average systolic BP ≥ 140 or diastolic BP ≥ 90 mmHg, or four or more medications regardless of BP (n = 1,705). A normotensive control group was defined as individuals with BP < 140/90 mmHg (n = 22,079), not on AHT medication. A second control group comprised individuals who were treatment responsive on one AHT medication with BP < 140/ 90 mmHg (n = 5,424). Logistic regression with kinship adjustment using the Scalable and Accurate Implementation of Generalized mixed models (SAIGE) was performed, adjusting for age, sex, and genetic ancestry. We assessed variants using SKAT-O in rare-variant analyses. Single-variant and gene-based tests were conducted in a pooled multi-ethnicity stratum, as well as self-reported ethnic/racial strata (European and African American).Results: One variant in the known HTN locus, KCNK3, was a top finding in the multi-ethnic analysis (p = 8.23E-07) for the normotensive control group [rs12476527, odds ratio (95% confidence interval) = 0.80 (0.74–0.88)]. This variant was replicated in the Vanderbilt University Medical Center’s DNA repository data. Aggregate gene-based signals included the genes AGTPBP, MYL4, PDCD4, BBS9, ERG, and IER3.Discussion: Additional work validating these loci in larger, more diverse populations, is warranted to determine whether these regions influence the pathobiology of aTRH.

Published
2023
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15. Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease

Author

William J. Young, Jeffrey Haessler, Jan-Walter Benjamins, Linda Repetto, Jie Yao, Aaron Isaacs, Andrew R. Harper, Julia Ramirez, Sophie Garnier, Stefan van Duijvenboden, Antoine R. Baldassari, Maria Pina Concas, ThuyVy Duong, Luisa Foco, Jonas L. Isaksen, Hao Mei, Raymond Noordam, Casia Nursyifa, Anne Richmond, Meddly L. Santolalla, Colleen M. Sitlani, Negin Soroush, Sébastien Thériault, Stella Trompet, Stefanie Aeschbacher, Fariba Ahmadizar, Alvaro Alonso, Jennifer A. Brody, Archie Campbell, Adolfo Correa, Dawood Darbar, Antonio De Luca, Jean-François Deleuze, Christina Ellervik, Christian Fuchsberger, Anuj Goel, Christopher Grace, Xiuqing Guo, Torben Hansen, Susan R. Heckbert, Rebecca D. Jackson, Jan A. Kors, Maria Fernanda Lima-Costa, Allan Linneberg, Peter W. Macfarlane, Alanna C. Morrison, Pau Navarro, David J. Porteous, Peter P. Pramstaller, Alexander P. Reiner, Lorenz Risch, Ulrich Schotten, Xia Shen, Gianfranco Sinagra, Elsayed Z. Soliman, Monika Stoll, Eduardo Tarazona-Santos, Andrew Tinker, Katerina Trajanoska, Eric Villard, Helen R. Warren, Eric A. Whitsel, Kerri L. Wiggins, Dan E. Arking, Christy L. Avery, David Conen, Giorgia Girotto, Niels Grarup, Caroline Hayward, J.Wouter Jukema, Dennis O. Mook-Kanamori, Morten Salling Olesen, Sandosh Padmanabhan, Bruce M. Psaty, Cristian Pattaro, Antonio Luiz P. Ribeiro, Jerome I. Rotter, Bruno H. Stricker, Pim van der Harst, Cornelia M. van Duijn, Niek Verweij, James G. Wilson, Michele Orini, Philippe Charron, Hugh Watkins, Charles Kooperberg, Henry J. Lin, James F. Wilson, Jørgen K. Kanters, Nona Sotoodehnia, Borbala Mifsud, Pier D. Lambiase, Larisa G. Tereshchenko, and Patricia B. Munroe

Subjects
Science
Abstract

The spatial and frontal QRS-T angles are electrocardiographic (ECG) predictors for arrhythmia. This work used genetic analyses to identify associated loci and pathways, and explore their relationships with other ECG traits and cardiovascular disease.

Published
2023
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16. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci

Author

Lisa de las Fuentes, Karen L. Schwander, Michael R. Brown, Amy R. Bentley, Thomas W. Winkler, Yun Ju Sung, Patricia B. Munroe, Clint L. Miller, Hugo Aschard, Stella Aslibekyan, Traci M. Bartz, Lawrence F. Bielak, Jin Fang Chai, Ching-Yu Cheng, Rajkumar Dorajoo, Mary F. Feitosa, Xiuqing Guo, Fernando P. Hartwig, Andrea Horimoto, Ivana Kolčić, Elise Lim, Yongmei Liu, Alisa K. Manning, Jonathan Marten, Solomon K. Musani, Raymond Noordam, Sandosh Padmanabhan, Tuomo Rankinen, Melissa A. Richard, Paul M. Ridker, Albert V. Smith, Dina Vojinovic, Alan B. Zonderman, Maris Alver, Mathilde Boissel, Kaare Christensen, Barry I. Freedman, Chuan Gao, Franco Giulianini, Sarah E. Harris, Meian He, Fang-Chi Hsu, Brigitte Kühnel, Federica Laguzzi, Xiaoyin Li, Leo-Pekka Lyytikäinen, Ilja M. Nolte, Alaitz Poveda, Rainer Rauramaa, Muhammad Riaz, Antonietta Robino, Tamar Sofer, Fumihiko Takeuchi, Bamidele O. Tayo, Peter J. van der Most, Niek Verweij, Erin B. Ware, Stefan Weiss, Wanqing Wen, Lisa R. Yanek, Yiqiang Zhan, Najaf Amin, Dan E. Arking, Christie Ballantyne, Eric Boerwinkle, Jennifer A. Brody, Ulrich Broeckel, Archie Campbell, Mickaël Canouil, Xiaoran Chai, Yii-Der Ida Chen, Xu Chen, Kumaraswamy Naidu Chitrala, Maria Pina Concas, Ulf de Faire, Renée de Mutsert, H. Janaka de Silva, Paul S. de Vries, Ahn Do, Jessica D. Faul, Virginia Fisher, James S. Floyd, Terrence Forrester, Yechiel Friedlander, Giorgia Girotto, C. Charles Gu, Göran Hallmans, Sami Heikkinen, Chew-Kiat Heng, Georg Homuth, Steven Hunt, M. Arfan Ikram, David R. Jacobs, Maryam Kavousi, Chiea Chuen Khor, Tuomas O. Kilpeläinen, Woon-Puay Koh, Pirjo Komulainen, Carl D. Langefeld, Jingjing Liang, Kiang Liu, Jianjun Liu, Kurt Lohman, Reedik Mägi, Ani W. Manichaikul, Colin A. McKenzie, Thomas Meitinger, Yuri Milaneschi, Matthias Nauck, Christopher P. Nelson, Jeffrey R. O’Connell, Nicholette D. Palmer, Alexandre C. Pereira, Thomas Perls, Annette Peters, Ozren Polašek, Olli T. Raitakari, Kenneth Rice, Treva K. Rice, Stephen S. Rich, Charumathi Sabanayagam, Pamela J. Schreiner, Xiao-Ou Shu, Stephen Sidney, Mario Sims, Jennifer A. Smith, John M. Starr, Konstantin Strauch, E. Shyong Tai, Kent D. Taylor, Michael Y. Tsai, André G. Uitterlinden, Diana van Heemst, Melanie Waldenberger, Ya-Xing Wang, Wen-Bin Wei, Gregory Wilson, Deng Xuan, Jie Yao, Caizheng Yu, Jian-Min Yuan, Wei Zhao, Diane M. Becker, Amélie Bonnefond, Donald W. Bowden, Richard S. Cooper, Ian J. Deary, Jasmin Divers, Tõnu Esko, Paul W. Franks, Philippe Froguel, Christian Gieger, Jost B. Jonas, Norihiro Kato, Timo A. Lakka, Karin Leander, Terho Lehtimäki, Patrik K. E. Magnusson, Kari E. North, Ioanna Ntalla, Brenda Penninx, Nilesh J. Samani, Harold Snieder, Beatrice Spedicati, Pim van der Harst, Henry Völzke, Lynne E. Wagenknecht, David R. Weir, Mary K. Wojczynski, Tangchun Wu, Wei Zheng, Xiaofeng Zhu, Claude Bouchard, Daniel I. Chasman, Michele K. Evans, Ervin R. Fox, Vilmundur Gudnason, Caroline Hayward, Bernardo L. Horta, Sharon L. R. Kardia, Jose Eduardo Krieger, Dennis O. Mook-Kanamori, Patricia A. Peyser, Michael M. Province, Bruce M. Psaty, Igor Rudan, Xueling Sim, Blair H. Smith, Rob M. van Dam, Cornelia M. van Duijn, Tien Yin Wong, Donna K. Arnett, Dabeeru C. Rao, James Gauderman, Ching-Ti Liu, Alanna C. Morrison, Jerome I. Rotter, and Myriam Fornage

Subjects
educational attainment, lipids, cholesterol, triglycerides, genome-wide association study, meta-analysis, Genetics, QH426-470
Abstract

Introduction: Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes.Methods: A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: “Some College” (yes/no, for any education beyond high school) and “Graduated College” (yes/no, for completing a 4-year college degree). Genome-wide significant (p < 5 × 10−8) and suggestive (p < 1 × 10−6) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals).Results: In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose (FOXP1, MBOAT4, SKP2, STIM1, STX4), brain (BRI3, FILIP1, FOXP1, LINC00290, LMTK2, MBOAT4, MYO6, SENP6, SRGAP3, STIM1, TMEM167A, TMEM30A), and liver (BRI3, FOXP1) biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue.Discussion: Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects.

Published
2023
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17. Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization [version 1; peer review: 2 approved]

Author

Natasha H. J. Ng, Sara M. Willems, Jian'an Luan, Rebecca S. Fine, Juan Fernandez, Jennifer Wessel, Eleanor Wheeler, Gaelle Marenne, Hidetoshi Kitajima, Hanieh Yaghootkar, Xueling Sim, Ian J. Deary, Sai Chen, Shuai Wang, Yii-Der Ida Chen, Caroline Hayward, Yuning Chen, Jennifer L. Asimit, Claudia Langenberg, Tibor V. Varga, Archie Campbell, Rona J. Strawbridge, Shuang Feng, Tarunveer S. Ahluwalia, Erica L. Kleinbrink, Emil V. Appel, Ping An, Lawrence F. Bielak, Dan E. Arking, Jennifer A. Brody, Nathan A. Bihlmeyer, David Porteous, Ayse Demirkan, Audrey Y. Chu, Franco Giulianini, James S. Floyd, Stefan Gustafsson, Xiuqing Guo, Johanna Jakobsdottir, Anne U. Jackson, Stavroula Kanoni, Richard A. Jensen, Igor Rudan, Man Li, Sirkka Keinanen-Kiukaanniemi, Alisa K. Manning, Yingchang Lu, Karina Meidtner, Jonathan Marten, Giorgio Pistis, Taulant Muka, Kenneth M. Rice, Bram Prins, Albert Vernon Smith, Serena Sanna, Lorraine Southam, Jennifer A. Smith, Vinicius Tragante, Heather M. Stringham, Helen R. Warren, Sander W. van der Laan, Andrianos M. Yiorkas, Jie Yao, Wei Zhao, Weihua Zhang, Heather M. Highland, Mariaelisa Graff, Eirini Marouli, Anne E. Justice, Wesam A. Alhejily, Saima Afaq, Folkert W. Asselbergs, Najaf Amin, Michiel L. Bots, Lori L. Bonnycastle, Ji Chen, Ivan Brandslund, Abbas Dehghan, John Danesh, Tapani Ebeling, Jessica D. Faul, Aliki-Eleni Farmaki, Steve Franks, Paul W. Franks, Anette P. Gjesing, Andreas Fritsche, Göran Hallmans, Mark O. Goodarzi, Karl-Heinz Herzig, Tamara B. Harris, Min A Jhun, Marie-France Hivert, Marit E. Jørgensen, Torben Jørgensen, Eero Kajantie, Pekka Jousilahti, Sharon L.R. Kardia, Maria Karaleftheri, Heikki A. Koistinen, Leena Kinnunen, Peter Kovacs, Pirjo Komulainen, Markku Laakso, Johanna Kuusisto, Aaron Leong, Lenore J. Launer, Jocelyn E. Manning Fox, Jaana Lindström, Nisa M. Maruthur, Satu Männistö, Antonella Mulas, Leena Moilanen, Matthew Neville, Mike A. Nalls, Alison Pattie, James S. Pankow, Hannu Puolijoki, Eva R.B. Petersen, Paul Redmond, Asif Rasheed, Michael Roden, Frida Renström, Juha Saltevo, Danish Saleheen, Sylvain Sebert, Kai Savonen, Alena Stančáková, Kerrin S. Small, Konstantin Strauch, Jakob Stokholm, Betina H. Thuesen, Juha Auvinen, E-Shyong Tai, Emmanouil Tsafantakis, Anke Tönjes, Jaakko Tuomilehto, Tiinamaija Tuomi, Marja Vääräsmäki, Matti Uusitupa, Magdalena Zoledziewska, Ilonca Vaartjes, Beverley Balkau, Goncalo Abecasis, Alexandra I. Blakemore, Hans Bisgaard, Heiner Boeing, Ruth J.F. Loos, Matthias Blüher, Klaus Bønnelykke, Eric Boerwinkle, Mark J. Caulfield, Erwin P. Bottinger, Daniel I. Chasman, John C. Chambers, Francis S. Collins, Ching-Yu Cheng, Francesco Cucca, Josef Coresh, George Dedoussis, Gert J. de Borst, Hester M. den Ruijter, Panos Deloukas, Ele Ferrannini, Michele K. Evans, Harald Grallert, Oscar H. Franco, Arfan Ikram, Joel N. Hirschhorn, Fredrik Karpe, Erik Ingelsson, Wieland Kiess, Carolina Medina-Gomez, Kay-Tee Kaw, Antje Körner, Jaspal S. Kooner, Cecilia M. Lindgren, Timo Lakka, Ching-Ti Liu, Leonard Lipovich, Patrick E. MacDonald, Jun Liu, Andrew D. Morris, Karen L. Mohlke, Alison Murray, Patricia B. Munroe, Gerard Pasterkamp, Colin N. A . Palmer, Patricia A. Peyser, Oluf Pedersen, Paul M. Ridker, Rainer Rauramaa, Patrik Rorsman, Olov Rolandsson, Veikko Salomaa, Frits R. Rosendaal, Robert Sladek, Matthias B. Schulze, Michael Stumvoll, Timothy D. Spector, Mark Walker, Cornelia M. van Duijn, David R. Weir, Nick J. Wareham, Tien Yin Wong, James G. Wilson, Alan B. Zonderman, Eleftheria Zeggini, Andrew P. Morris, Jerome I. Rotter, Jose C. Florez, Michael Boehnke, James B. Meigs, Mark I. McCarthy, Robert A. Scott, Anubha Mahajan, Inês Barroso, Anna L. Gloyn, Michael A. Province, Niels Grarup, Ruifang Li-Gao, Jette Bork-Jensen, Yongmei Liu, Allan Linneberg, Leslie A. Lange, Sandosh Padmanabhan, Gail Davies, Lars Lind, Bruce M. Psaty, Tea Skaaby, Torben Hansen, Ozren Polasek, John M. Starr, Dennis O. Mook-Kanamori, Vilmundur Gudnason, Kent D. Taylor, Marjo-Riitta Järvelin, Renée de Mutsert, Paul Elliott, Josée Dupuis, Blair H. Smith, and Andrew T. Hattersley

Subjects
exome chip, glycaemic traits, genetic discovery, effector genes, summary statistics resources, eng, Medicine, Science
Abstract

Background Genome-wide association studies for glycemic traits have identified hundreds of loci associated with these biomarkers of glucose homeostasis. Despite this success, the challenge remains to link variant associations to genes, and underlying biological pathways. Methods To identify coding variant associations which may pinpoint effector genes at both novel and previously established genome-wide association loci, we performed meta-analyses of exome-array studies for four glycemic traits: glycated hemoglobin (HbA1c, up to 144,060 participants), fasting glucose (FG, up to 129,665 participants), fasting insulin (FI, up to 104,140) and 2hr glucose post-oral glucose challenge (2hGlu, up to 57,878). In addition, we performed network and pathway analyses. Results Single-variant and gene-based association analyses identified coding variant associations at more than 60 genes, which when combined with other datasets may be useful to nominate effector genes. Network and pathway analyses identified pathways related to insulin secretion, zinc transport and fatty acid metabolism. HbA1c associations were strongly enriched in pathways related to blood cell biology. Conclusions Our results provided novel glycemic trait associations and highlighted pathways implicated in glycemic regulation. Exome-array summary statistic results are being made available to the scientific community to enable further discoveries.

Published
2023
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18. Association Between Whole Blood–Derived Mitochondrial DNA Copy Number, Low‐Density Lipoprotein Cholesterol, and Cardiovascular Disease Risk

Author

Xue Liu, Xianbang Sun, Yuankai Zhang, Wenqing Jiang, Meng Lai, Kerri L. Wiggins, Laura M. Raffield, Lawrence F. Bielak, Wei Zhao, Achilleas Pitsillides, Jeffrey Haessler, Yinan Zheng, Thomas W. Blackwell, Jie Yao, Xiuqing Guo, Yong Qian, Bharat Thyagarajan, Nathan Pankratz, Stephen S. Rich, Kent D. Taylor, Patricia A. Peyser, Susan R. Heckbert, Sudha Seshadri, Eric Boerwinkle, Megan L. Grove, Nicholas B. Larson, Jennifer A. Smith, Ramachandran S. Vasan, Annette L. Fitzpatrick, Myriam Fornage, Jun Ding, April P. Carson, Goncalo Abecasis, Josée Dupuis, Alexander Reiner, Charles Kooperberg, Lifang Hou, Bruce M. Psaty, James G. Wilson, Daniel Levy, Jerome I. Rotter, Joshua C. Bis, Claudia L. Satizabal, Dan E. Arking, and Chunyu Liu

Subjects
cardiometabolic risk factors, cardiovascular disease, low‐density lipoprotein cholesterol, Mendelian randomization, mitochondrial DNA copy number, vascular atherosclerosis, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods and Results We performed cross‐sectional and prospective association analyses of blood‐derived mtDNA CN and cardiovascular disease outcomes in 27 316 participants in 8 cohorts of multiple racial and ethnic groups with whole‐genome sequencing. We also performed Mendelian randomization to explore causal relationships of mtDNA CN with coronary heart disease (CHD) and cardiometabolic risk factors (obesity, diabetes, hypertension, and hyperlipidemia). P

Published
2023
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19. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Author

Stavroula Kanoni, Sarah E. Graham, Yuxuan Wang, Ida Surakka, Shweta Ramdas, Xiang Zhu, Shoa L. Clarke, Konain Fatima Bhatti, Sailaja Vedantam, Thomas W. Winkler, Adam E. Locke, Eirini Marouli, Greg J. M. Zajac, Kuan-Han H. Wu, Ioanna Ntalla, Qin Hui, Derek Klarin, Austin T. Hilliard, Zeyuan Wang, Chao Xue, Gudmar Thorleifsson, Anna Helgadottir, Daniel F. Gudbjartsson, Hilma Holm, Isleifur Olafsson, Mi Yeong Hwang, Sohee Han, Masato Akiyama, Saori Sakaue, Chikashi Terao, Masahiro Kanai, Wei Zhou, Ben M. Brumpton, Humaira Rasheed, Aki S. Havulinna, Yogasudha Veturi, Jennifer Allen Pacheco, Elisabeth A. Rosenthal, Todd Lingren, QiPing Feng, Iftikhar J. Kullo, Akira Narita, Jun Takayama, Hilary C. Martin, Karen A. Hunt, Bhavi Trivedi, Jeffrey Haessler, Franco Giulianini, Yuki Bradford, Jason E. Miller, Archie Campbell, Kuang Lin, Iona Y. Millwood, Asif Rasheed, George Hindy, Jessica D. Faul, Wei Zhao, David R. Weir, Constance Turman, Hongyan Huang, Mariaelisa Graff, Ananyo Choudhury, Dhriti Sengupta, Anubha Mahajan, Michael R. Brown, Weihua Zhang, Ketian Yu, Ellen M. Schmidt, Anita Pandit, Stefan Gustafsson, Xianyong Yin, Jian’an Luan, Jing-Hua Zhao, Fumihiko Matsuda, Hye-Mi Jang, Kyungheon Yoon, Carolina Medina-Gomez, Achilleas Pitsillides, Jouke Jan Hottenga, Andrew R. Wood, Yingji Ji, Zishan Gao, Simon Haworth, Noha A. Yousri, Ruth E. Mitchell, Jin Fang Chai, Mette Aadahl, Anne A. Bjerregaard, Jie Yao, Ani Manichaikul, Chii-Min Hwu, Yi-Jen Hung, Helen R. Warren, Julia Ramirez, Jette Bork-Jensen, Line L. Kårhus, Anuj Goel, Maria Sabater-Lleal, Raymond Noordam, Pala Mauro, Floris Matteo, Aaron F. McDaid, Pedro Marques-Vidal, Matthias Wielscher, Stella Trompet, Naveed Sattar, Line T. Møllehave, Matthias Munz, Lingyao Zeng, Jianfeng Huang, Bin Yang, Alaitz Poveda, Azra Kurbasic, Claudia Lamina, Lukas Forer, Markus Scholz, Tessel E. Galesloot, Jonathan P. Bradfield, Sanni E. Ruotsalainen, EWarwick Daw, Joseph M. Zmuda, Jonathan S. Mitchell, Christian Fuchsberger, Henry Christensen, Jennifer A. Brody, Miguel Vazquez-Moreno, Mary F. Feitosa, Mary K. Wojczynski, Zhe Wang, Michael H. Preuss, Massimo Mangino, Paraskevi Christofidou, Niek Verweij, Jan W. Benjamins, Jorgen Engmann, Noah L. Tsao, Anurag Verma, Roderick C. Slieker, Ken Sin Lo, Nuno R. Zilhao, Phuong Le, Marcus E. Kleber, Graciela E. Delgado, Shaofeng Huo, Daisuke D. Ikeda, Hiroyuki Iha, Jian Yang, Jun Liu, Ayşe Demirkan, Hampton L. Leonard, Jonathan Marten, Mirjam Frank, Börge Schmidt, Laura J. Smyth, Marisa Cañadas-Garre, Chaolong Wang, Masahiro Nakatochi, Andrew Wong, Nina Hutri-Kähönen, Xueling Sim, Rui Xia, Alicia Huerta-Chagoya, Juan Carlos Fernandez-Lopez, Valeriya Lyssenko, Suraj S. Nongmaithem, Swati Bayyana, Heather M. Stringham, Marguerite R. Irvin, Christopher Oldmeadow, Han-Na Kim, Seungho Ryu, Paul R. H. J. Timmers, Liubov Arbeeva, Rajkumar Dorajoo, Leslie A. Lange, Gauri Prasad, Laura Lorés-Motta, Marc Pauper, Jirong Long, Xiaohui Li, Elizabeth Theusch, Fumihiko Takeuchi, Cassandra N. Spracklen, Anu Loukola, Sailalitha Bollepalli, Sophie C. Warner, Ya Xing Wang, Wen B. Wei, Teresa Nutile, Daniela Ruggiero, Yun Ju Sung, Shufeng Chen, Fangchao Liu, Jingyun Yang, Katherine A. Kentistou, Bernhard Banas, Giuseppe Giovanni Nardone, Karina Meidtner, Lawrence F. Bielak, Jennifer A. Smith, Prashantha Hebbar, Aliki-Eleni Farmaki, Edith Hofer, Maoxuan Lin, Maria Pina Concas, Simona Vaccargiu, Peter J. van der Most, Niina Pitkänen, Brian E. Cade, Sander W. van der Laan, Kumaraswamy Naidu Chitrala, Stefan Weiss, Amy R. Bentley, Ayo P. Doumatey, Adebowale A. Adeyemo, Jong Young Lee, Eva R. B. Petersen, Aneta A. Nielsen, Hyeok Sun Choi, Maria Nethander, Sandra Freitag-Wolf, Lorraine Southam, Nigel W. Rayner, Carol A. Wang, Shih-Yi Lin, Jun-Sing Wang, Christian Couture, Leo-Pekka Lyytikäinen, Kjell Nikus, Gabriel Cuellar-Partida, Henrik Vestergaard, Bertha Hidalgo, Olga Giannakopoulou, Qiuyin Cai, Morgan O. Obura, Jessica van Setten, Xiaoyin Li, Jingjing Liang, Hua Tang, Natalie Terzikhan, Jae Hun Shin, Rebecca D. Jackson, Alexander P. Reiner, Lisa Warsinger Martin, Zhengming Chen, Liming Li, Takahisa Kawaguchi, Joachim Thiery, Joshua C. Bis, Lenore J. Launer, Huaixing Li, Mike A. Nalls, Olli T. Raitakari, Sahoko Ichihara, Sarah H. Wild, Christopher P. Nelson, Harry Campbell, Susanne Jäger, Toru Nabika, Fahd Al-Mulla, Harri Niinikoski, Peter S. Braund, Ivana Kolcic, Peter Kovacs, Tota Giardoglou, Tomohiro Katsuya, Dominique de Kleijn, Gert J. de Borst, Eung Kweon Kim, Hieab H. H. Adams, M. Arfan Ikram, Xiaofeng Zhu, Folkert W. Asselbergs, Adriaan O. Kraaijeveld, Joline W. J. Beulens, Xiao-Ou Shu, Loukianos S. Rallidis, Oluf Pedersen, Torben Hansen, Paul Mitchell, Alex W. Hewitt, Mika Kähönen, Louis Pérusse, Claude Bouchard, Anke Tönjes, Yii-Der Ida Chen, Craig E. Pennell, Trevor A. Mori, Wolfgang Lieb, Andre Franke, Claes Ohlsson, Dan Mellström, Yoon Shin Cho, Hyejin Lee, Jian-Min Yuan, Woon-Puay Koh, Sang Youl Rhee, Jeong-Taek Woo, Iris M. Heid, Klaus J. Stark, Martina E. Zimmermann, Henry Völzke, Georg Homuth, Michele K. Evans, Alan B. Zonderman, Ozren Polasek, Gerard Pasterkamp, Imo E. Hoefer, Susan Redline, Katja Pahkala, Albertine J. Oldehinkel, Harold Snieder, Ginevra Biino, Reinhold Schmidt, Helena Schmidt, Stefania Bandinelli, George Dedoussis, Thangavel Alphonse Thanaraj, Sharon L. R. Kardia, Patricia A. Peyser, Norihiro Kato, Matthias B. Schulze, Giorgia Girotto, Carsten A. Böger, Bettina Jung, Peter K. Joshi, David A. Bennett, Philip L. De Jager, Xiangfeng Lu, Vasiliki Mamakou, Morris Brown, Mark J. Caulfield, Patricia B. Munroe, Xiuqing Guo, Marina Ciullo, Jost B. Jonas, Nilesh J. Samani, Jaakko Kaprio, Päivi Pajukanta, Teresa Tusié-Luna, Carlos A. Aguilar-Salinas, Linda S. Adair, Sonny Augustin Bechayda, H. Janaka de Silva, Ananda R. Wickremasinghe, Ronald M. Krauss, Jer-Yuarn Wu, Wei Zheng, Anneke Iden Hollander, Dwaipayan Bharadwaj, Adolfo Correa, James G. Wilson, Lars Lind, Chew-Kiat Heng, Amanda E. Nelson, Yvonne M. Golightly, James F. Wilson, Brenda Penninx, Hyung-Lae Kim, John Attia, Rodney J. Scott, D. C. Rao, Donna K. Arnett, Steven C. Hunt, Mark Walker, Heikki A. Koistinen, Giriraj R. Chandak, Josep M. Mercader, Maria C. Costanzo, Dongkeun Jang, Noël P. Burtt, Clicerio Gonzalez Villalpando, Lorena Orozco, Myriam Fornage, EShyong Tai, Rob M. van Dam, Terho Lehtimäki, Nish Chaturvedi, Mitsuhiro Yokota, Jianjun Liu, Dermot F. Reilly, Amy Jayne McKnight, Frank Kee, Karl-Heinz Jöckel, Mark I. McCarthy, Colin N. A. Palmer, Veronique Vitart, Caroline Hayward, Eleanor Simonsick, Cornelia M. van Duijn, Zi-Bing Jin, Jia Qu, Haretsugu Hishigaki, Xu Lin, Winfried März, Vilmundur Gudnason, Jean-Claude Tardif, Guillaume Lettre, Leen M.‘t Hart, Petra J. M. Elders, Scott M. Damrauer, Meena Kumari, Mika Kivimaki, Pim van der Harst, Tim D. Spector, Ruth J. F. Loos, Michael A. Province, Esteban J. Parra, Miguel Cruz, Bruce M. Psaty, Ivan Brandslund, Peter P. Pramstaller, Charles N. Rotimi, Kaare Christensen, Samuli Ripatti, Elisabeth Widén, Hakon Hakonarson, Struan F. A. Grant, Lambertus A. L. M. Kiemeney, Jacqueline de Graaf, Markus Loeffler, Florian Kronenberg, Dongfeng Gu, Jeanette Erdmann, Heribert Schunkert, Paul W. Franks, Allan Linneberg, J. Wouter Jukema, Amit V. Khera, Minna Männikkö, Marjo-Riitta Jarvelin, Zoltan Kutalik, Cucca Francesco, Dennis O. Mook-Kanamori, Ko Willems van Dijk, Hugh Watkins, David P. Strachan, Niels Grarup, Peter Sever, Neil Poulter, Lee-Ming Chuang, Jerome I. Rotter, Thomas M. Dantoft, Fredrik Karpe, Matt J. Neville, Nicholas J. Timpson, Ching-Yu Cheng, Tien-Yin Wong, Chiea Chuen Khor, Hengtong Li, Charumathi Sabanayagam, Annette Peters, Christian Gieger, Andrew T. Hattersley, Nancy L. Pedersen, Patrik K. E. Magnusson, Dorret I. Boomsma, Allegonda H. M. Willemsen, LAdrienne Cupples, Joyce B. J. van Meurs, Mohsen Ghanbari, Penny Gordon-Larsen, Wei Huang, Young Jin Kim, Yasuharu Tabara, Nicholas J. Wareham, Claudia Langenberg, Eleftheria Zeggini, Johanna Kuusisto, Markku Laakso, Erik Ingelsson, Goncalo Abecasis, John C. Chambers, Jaspal S. Kooner, Paul S. de Vries, Alanna C. Morrison, Scott Hazelhurst, Michèle Ramsay, Kari E. North, Martha Daviglus, Peter Kraft, Nicholas G. Martin, John B. Whitfield, Shahid Abbas, Danish Saleheen, Robin G. Walters, Michael V. Holmes, Corri Black, Blair H. Smith, Aris Baras, Anne E. Justice, Julie E. Buring, Paul M. Ridker, Daniel I. Chasman, Charles Kooperberg, Gen Tamiya, Masayuki Yamamoto, David A. van Heel, Richard C. Trembath, Wei-Qi Wei, Gail P. Jarvik, Bahram Namjou, M. Geoffrey Hayes, Marylyn D. Ritchie, Pekka Jousilahti, Veikko Salomaa, Kristian Hveem, Bjørn Olav Åsvold, Michiaki Kubo, Yoichiro Kamatani, Yukinori Okada, Yoshinori Murakami, Bong-Jo Kim, Unnur Thorsteinsdottir, Kari Stefansson, Jifeng Zhang, YEugene Chen, Yuk-Lam Ho, Julie A. Lynch, Daniel J. Rader, Philip S. Tsao, Kyong-Mi Chang, Kelly Cho, Christopher J. O’Donnell, John M. Gaziano, Peter W. F. Wilson, Timothy M. Frayling, Joel N. Hirschhorn, Sekar Kathiresan, Karen L. Mohlke, Yan V. Sun, Andrew P. Morris, Michael Boehnke, Christopher D. Brown, Pradeep Natarajan, Panos Deloukas, Cristen J. Willer, Themistocles L. Assimes, and Gina M. Peloso

Subjects
Cholesterol, Lipids, Genetics, Genome-wide association study, GWAS, Biology (General), QH301-705.5, QH426-470
Abstract

Abstract Background Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. Results To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3–5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. Conclusions Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.

Published
2022
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20. Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program

Author

Marsha M. Wheeler, Adrienne M. Stilp, Shuquan Rao, Bjarni V. Halldórsson, Doruk Beyter, Jia Wen, Anna V. Mihkaylova, Caitlin P. McHugh, John Lane, Min-Zhi Jiang, Laura M. Raffield, Goo Jun, Fritz J. Sedlazeck, Ginger Metcalf, Yao Yao, Joshua B. Bis, Nathalie Chami, Paul S. de Vries, Pinkal Desai, James S. Floyd, Yan Gao, Kai Kammers, Wonji Kim, Jee-Young Moon, Aakrosh Ratan, Lisa R. Yanek, Laura Almasy, Lewis C. Becker, John Blangero, Michael H. Cho, Joanne E. Curran, Myriam Fornage, Robert C. Kaplan, Joshua P. Lewis, Ruth J. F. Loos, Braxton D. Mitchell, Alanna C. Morrison, Michael Preuss, Bruce M. Psaty, Stephen S. Rich, Jerome I. Rotter, Hua Tang, Russell P. Tracy, Eric Boerwinkle, Goncalo R. Abecasis, Thomas W. Blackwell, Albert V. Smith, Andrew D. Johnson, Rasika A. Mathias, Deborah A. Nickerson, Matthew P. Conomos, Yun Li, Unnur Þorsteinsdóttir, Magnús K. Magnússon, Kari Stefansson, Nathan D. Pankratz, Daniel E. Bauer, Paul L. Auer, and Alex P. Reiner

Subjects
Science
Abstract

Most genetic association studies have been done on single nucleotide polymorphisms and small indels, while other types of variants have been less studied. Here, the authors use whole genome sequencing in a diverse population to identify and provide experimental evidence for associations between structural variants and blood-cell traits.

Published
2022
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21. A population‐based meta‐analysis of circulating GFAP for cognition and dementia risk

Author

Mitzi M. Gonzales, Crystal Wiedner, Chen‐Pin Wang, Qianqian Liu, Joshua C. Bis, Zhiguang Li, Jayandra J. Himali, Saptaparni Ghosh, Emy A. Thomas, Danielle M. Parent, Tiffany F. Kautz, Matthew P. Pase, Hugo J. Aparicio, Luc Djoussé, Kenneth J. Mukamal, Bruce M. Psaty, William T. Longstreth Jr, Thomas H. Mosley Jr, Vilmundur Gudnason, Djass Mbangdadji, Oscar L. Lopez, Kristine Yaffe, Stephen Sidney, R. Nick Bryan, Ilya M. Nasrallah, Charles S. DeCarli, Alexa S. Beiser, Lenore J. Launer, Myriam Fornage, Russell P. Tracy, Sudha Seshadri, and Claudia L. Satizabal

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Objective Expression of glial fibrillary acidic protein (GFAP), a marker of reactive astrocytosis, colocalizes with neuropathology in the brain. Blood levels of GFAP have been associated with cognitive decline and dementia status. However, further examinations at a population‐based level are necessary to broaden generalizability to community settings. Methods Circulating GFAP levels were assayed using a Simoa HD‐1 analyzer in 4338 adults without prevalent dementia from four longitudinal community‐based cohort studies. The associations between GFAP levels with general cognition, total brain volume, and hippocampal volume were evaluated with separate linear regression models in each cohort with adjustment for age, sex, education, race, diabetes, systolic blood pressure, antihypertensive medication, body mass index, apolipoprotein E ε4 status, site, and time between GFAP blood draw and the outcome. Associations with incident all‐cause and Alzheimer's disease dementia were evaluated with adjusted Cox proportional hazard models. Meta‐analysis was performed on the estimates derived from each cohort using random‐effects models. Results Meta‐analyses indicated that higher circulating GFAP associated with lower general cognition (ß = −0.09, [95% confidence interval [CI]: −0.15 to −0.03], p = 0.005), but not with total brain or hippocampal volume (p > 0.05). However, each standard deviation unit increase in log‐transformed GFAP levels was significantly associated with a 2.5‐fold higher risk of incident all‐cause dementia (Hazard Ratio [HR]: 2.47 (95% CI: 1.52–4.01)) and Alzheimer's disease dementia (HR: 2.54 [95% CI: 1.42–4.53]) over up to 15‐years of follow‐up. Interpretation Results support the potential role of circulating GFAP levels for aiding dementia risk prediction and improving clinical trial stratification in community settings.

Published
2022
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22. Whole genome sequence analysis of blood lipid levels in >66,000 individuals

Author

Margaret Sunitha Selvaraj, Xihao Li, Zilin Li, Akhil Pampana, David Y. Zhang, Joseph Park, Stella Aslibekyan, Joshua C. Bis, Jennifer A. Brody, Brian E. Cade, Lee-Ming Chuang, Ren-Hua Chung, Joanne E. Curran, Lisa de las Fuentes, Paul S. de Vries, Ravindranath Duggirala, Barry I. Freedman, Mariaelisa Graff, Xiuqing Guo, Nancy Heard-Costa, Bertha Hidalgo, Chii-Min Hwu, Marguerite R. Irvin, Tanika N. Kelly, Brian G. Kral, Leslie Lange, Xiaohui Li, Martin Lisa, Steven A. Lubitz, Ani W. Manichaikul, Preuss Michael, May E. Montasser, Alanna C. Morrison, Take Naseri, Jeffrey R. O’Connell, Nicholette D. Palmer, Patricia A. Peyser, Muagututia S. Reupena, Jennifer A. Smith, Xiao Sun, Kent D. Taylor, Russell P. Tracy, Michael Y. Tsai, Zhe Wang, Yuxuan Wang, Wei Bao, John T. Wilkins, Lisa R. Yanek, Wei Zhao, Donna K. Arnett, John Blangero, Eric Boerwinkle, Donald W. Bowden, Yii-Der Ida Chen, Adolfo Correa, L. Adrienne Cupples, Susan K. Dutcher, Patrick T. Ellinor, Myriam Fornage, Stacey Gabriel, Soren Germer, Richard Gibbs, Jiang He, Robert C. Kaplan, Sharon L. R. Kardia, Ryan Kim, Charles Kooperberg, Ruth J. F. Loos, Karine A Viaud-Martinez, Rasika A. Mathias, Stephen T. McGarvey, Braxton D. Mitchell, Deborah Nickerson, Kari E. North, Bruce M. Psaty, Susan Redline, Alexander P. Reiner, Ramachandran S. Vasan, Stephen S. Rich, Cristen Willer, Jerome I. Rotter, Daniel J. Rader, Xihong Lin, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Gina M. Peloso, and Pradeep Natarajan

Subjects
Science
Abstract

Although the common genetic variants contributing to blood lipid levels have been studied, the contribution of rare variants is less understood. Here, the authors perform a rare coding and noncoding variant association study of blood lipid levels using whole genome sequencing data.

Published
2022
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23. Clonal hematopoiesis of indeterminate potential, DNA methylation, and risk for coronary artery disease

Author

M d Mesbah Uddin, Ngoc Quynh H. Nguyen, Bing Yu, Jennifer A. Brody, Akhil Pampana, Tetsushi Nakao, Myriam Fornage, Jan Bressler, Nona Sotoodehnia, Joshua S. Weinstock, Michael C. Honigberg, Daniel Nachun, Romit Bhattacharya, Gabriel K. Griffin, Varuna Chander, Richard A. Gibbs, Jerome I. Rotter, Chunyu Liu, Andrea A. Baccarelli, Daniel I. Chasman, Eric A. Whitsel, Douglas P. Kiel, Joanne M. Murabito, Eric Boerwinkle, Benjamin L. Ebert, Siddhartha Jaiswal, James S. Floyd, Alexander G. Bick, Christie M. Ballantyne, Bruce M. Psaty, Pradeep Natarajan, and Karen N. Conneely

Subjects
Science
Abstract

Clonal hematopoiesis, often caused by mutations in DNMT3A and TET2, is associated with blood cancer and coronary artery disease. Here, the authors conduct an epigenome-wide association study, finding that clonal hematopoiesis caused by DNMT3A vs. TET2 mutations has directionally opposing changes in DNA methylation profiles, with both promoting stem cell self-renewal.

Published
2022
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24. Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

Author

William J. Young, Najim Lahrouchi, Aaron Isaacs, ThuyVy Duong, Luisa Foco, Farah Ahmed, Jennifer A. Brody, Reem Salman, Raymond Noordam, Jan-Walter Benjamins, Jeffrey Haessler, Leo-Pekka Lyytikäinen, Linda Repetto, Maria Pina Concas, Marten E. van den Berg, Stefan Weiss, Antoine R. Baldassari, Traci M. Bartz, James P. Cook, Daniel S. Evans, Rebecca Freudling, Oliver Hines, Jonas L. Isaksen, Honghuang Lin, Hao Mei, Arden Moscati, Martina Müller-Nurasyid, Casia Nursyifa, Yong Qian, Anne Richmond, Carolina Roselli, Kathleen A. Ryan, Eduardo Tarazona-Santos, Sébastien Thériault, Stefan van Duijvenboden, Helen R. Warren, Jie Yao, Dania Raza, Stefanie Aeschbacher, Gustav Ahlberg, Alvaro Alonso, Laura Andreasen, Joshua C. Bis, Eric Boerwinkle, Archie Campbell, Eulalia Catamo, Massimiliano Cocca, Michael J. Cutler, Dawood Darbar, Alessandro De Grandi, Antonio De Luca, Jun Ding, Christina Ellervik, Patrick T. Ellinor, Stephan B. Felix, Philippe Froguel, Christian Fuchsberger, Martin Gögele, Claus Graff, Mariaelisa Graff, Xiuqing Guo, Torben Hansen, Susan R. Heckbert, Paul L. Huang, Heikki V. Huikuri, Nina Hutri-Kähönen, M. Arfan Ikram, Rebecca D. Jackson, Juhani Junttila, Maryam Kavousi, Jan A. Kors, Thiago P. Leal, Rozenn N. Lemaitre, Henry J. Lin, Lars Lind, Allan Linneberg, Simin Liu, Peter W. MacFarlane, Massimo Mangino, Thomas Meitinger, Massimo Mezzavilla, Pashupati P. Mishra, Rebecca N. Mitchell, Nina Mononen, May E. Montasser, Alanna C. Morrison, Matthias Nauck, Victor Nauffal, Pau Navarro, Kjell Nikus, Guillaume Pare, Kristen K. Patton, Giulia Pelliccione, Alan Pittman, David J. Porteous, Peter P. Pramstaller, Michael H. Preuss, Olli T. Raitakari, Alexander P. Reiner, Antonio Luiz P. Ribeiro, Kenneth M. Rice, Lorenz Risch, David Schlessinger, Ulrich Schotten, Claudia Schurmann, Xia Shen, M. Benjamin Shoemaker, Gianfranco Sinagra, Moritz F. Sinner, Elsayed Z. Soliman, Monika Stoll, Konstantin Strauch, Kirill Tarasov, Kent D. Taylor, Andrew Tinker, Stella Trompet, André Uitterlinden, Uwe Völker, Henry Völzke, Melanie Waldenberger, Lu-Chen Weng, Eric A. Whitsel, James G. Wilson, Christy L. Avery, David Conen, Adolfo Correa, Francesco Cucca, Marcus Dörr, Sina A. Gharib, Giorgia Girotto, Niels Grarup, Caroline Hayward, Yalda Jamshidi, Marjo-Riitta Järvelin, J. Wouter Jukema, Stefan Kääb, Mika Kähönen, Jørgen K. Kanters, Charles Kooperberg, Terho Lehtimäki, Maria Fernanda Lima-Costa, Yongmei Liu, Ruth J. F. Loos, Steven A. Lubitz, Dennis O. Mook-Kanamori, Andrew P. Morris, Jeffrey R. O’Connell, Morten Salling Olesen, Michele Orini, Sandosh Padmanabhan, Cristian Pattaro, Annette Peters, Bruce M. Psaty, Jerome I. Rotter, Bruno Stricker, Pim van der Harst, Cornelia M. van Duijn, Niek Verweij, James F. Wilson, Dan E. Arking, Julia Ramirez, Pier D. Lambiase, Nona Sotoodehnia, Borbala Mifsud, Christopher Newton-Cheh, and Patricia B. Munroe

Subjects
Science
Abstract

The QT interval is a heritable electrocardiographic measure associated with arrhythmia risk when prolonged. Here, the authors used a series of genetic analyses to identify genetic loci, pathways, therapeutic targets, and relationships with cardiovascular disease.

Published
2022
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25. Plasma Trimethylamine‐N‐Oxide and Incident Ischemic Stroke: The Cardiovascular Health Study and the Multi‐Ethnic Study of Atherosclerosis

Author

Rozenn N. Lemaitre, Paul N. Jensen, Zeneng Wang, Amanda M. Fretts, Colleen M. Sitlani, Ina Nemet, Nona Sotoodehnia, Marcia C. de Oliveira Otto, Weifei Zhu, Matt Budoff, W. T. Longstreth, Bruce M. Psaty, David S. Siscovick, Stanley L. Hazen, and Dariush Mozaffarian

Subjects
epidemiology, risk factors, stroke, TMAO, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background The association of circulating trimethylamine‐N‐oxide (TMAO) with stroke has received limited attention. To address this gap, we examined the associations of serial measures of plasma TMAO with incident ischemic stroke. Methods and Results We used a prospective cohort design with data pooled from 2 cohorts. The settings were the CHS (Cardiovascular Health Study), a cohort of older adults, and the MESA (Multi‐Ethnic Study of Atherosclerosis), both in the United States. We measured plasma concentrations of TMAO at baseline and again during the follow‐up using high‐performance liquid chromatography and mass spectrometry. We assessed the association of plasma TMAO with incident ischemic stroke using proportional hazards regression adjusted for risk factors. The combined cohorts included 11 785 participants without a history of stroke, on average 73 (CHS) and 62 (MESA) years old at baseline, including 60% (CHS) and 53% (MESA) women. We identified 1031 total incident ischemic strokes during a median 15‐year follow‐up in the combined cohorts. In multivariable analyses, TMAO was significantly associated with incident ischemic stroke risk (hazard ratios comparing a doubling of TMAO: 1.11 [1.03–1.18], P=0.004). The association was linear over the range of TMAO concentrations and appeared restricted to those without diagnosed coronary heart disease. An association with hemorrhagic stroke was not found. Conclusions Plasma TMAO levels are associated with incident ischemic stroke in a diverse population. Registration URL: https://www.clinicaltrials.gov. Unique identifier: NCT00005133.

Published
2023
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26. Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations

Author

Michael Elgart, Genevieve Lyons, Santiago Romero-Brufau, Nuzulul Kurniansyah, Jennifer A. Brody, Xiuqing Guo, Henry J. Lin, Laura Raffield, Yan Gao, Han Chen, Paul de Vries, Donald M. Lloyd-Jones, Leslie A. Lange, Gina M. Peloso, Myriam Fornage, Jerome I. Rotter, Stephen S. Rich, Alanna C. Morrison, Bruce M. Psaty, Daniel Levy, Susan Redline, the NHLBI’s Trans-Omics in Precision Medicine (TOPMed) Consortium, and Tamar Sofer

Subjects
Biology (General), QH301-705.5
Abstract

Combining a standard polygenic risk score (PRS) as a feature in a machine learning model increases the percentage variance explained for those traits, helping to account for non-linearities or interaction effects in genetics-based prediction models.

Published
2022
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27. Endophenotype effect sizes support variant pathogenicity in monogenic disease susceptibility genes

Author

Jennifer L. Halford, Valerie N. Morrill, Seung Hoan Choi, Sean J. Jurgens, Giorgio Melloni, Nicholas A. Marston, Lu-Chen Weng, Victor Nauffal, Amelia W. Hall, Sophia Gunn, Christina A. Austin-Tse, James P. Pirruccello, Shaan Khurshid, Heidi L. Rehm, Emelia J. Benjamin, Eric Boerwinkle, Jennifer A. Brody, Adolfo Correa, Brandon K. Fornwalt, Namrata Gupta, Christopher M. Haggerty, Stephanie Harris, Susan R. Heckbert, Charles C. Hong, Charles Kooperberg, Henry J. Lin, Ruth J. F. Loos, Braxton D. Mitchell, Alanna C. Morrison, Wendy Post, Bruce M. Psaty, Susan Redline, Kenneth M. Rice, Stephen S. Rich, Jerome I. Rotter, Peter F. Schnatz, Elsayed Z. Soliman, Nona Sotoodehnia, Eugene K. Wong, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Marc S. Sabatine, Christian T. Ruff, Kathryn L. Lunetta, Patrick T. Ellinor, and Steven A. Lubitz

Subjects
Science
Abstract

Accurate classification of genetic variants is critical for research and patient care. Here, the authors report that population-based associations between rare variants and quantitative endophenotypes for monogenic diseases can provide support for variant pathogenicity.

Published
2022
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28. Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program

Author

Daniel DiCorpo, Sheila M. Gaynor, Emily M. Russell, Kenneth E. Westerman, Laura M. Raffield, Timothy D. Majarian, Peitao Wu, Chloé Sarnowski, Heather M. Highland, Anne Jackson, Natalie R. Hasbani, Paul S. de Vries, Jennifer A. Brody, Bertha Hidalgo, Xiuqing Guo, James A. Perry, Jeffrey R. O’Connell, Samantha Lent, May E. Montasser, Brian E. Cade, Deepti Jain, Heming Wang, Ricardo D’Oliveira Albanus, Arushi Varshney, Lisa R. Yanek, Leslie Lange, Nicholette D. Palmer, Marcio Almeida, Juan M. Peralta, Stella Aslibekyan, Abigail S. Baldridge, Alain G. Bertoni, Lawrence F. Bielak, Chung-Shiuan Chen, Yii-Der Ida Chen, Won Jung Choi, Mark O. Goodarzi, James S. Floyd, Marguerite R. Irvin, Rita R. Kalyani, Tanika N. Kelly, Seonwook Lee, Ching-Ti Liu, Douglas Loesch, JoAnn E. Manson, Ryan L. Minster, Take Naseri, James S. Pankow, Laura J. Rasmussen-Torvik, Alexander P. Reiner, Muagututi’a Sefuiva Reupena, Elizabeth Selvin, Jennifer A. Smith, Daniel E. Weeks, Huichun Xu, Jie Yao, Wei Zhao, Stephen Parker, Alvaro Alonso, Donna K. Arnett, John Blangero, Eric Boerwinkle, Adolfo Correa, L. Adrienne Cupples, Joanne E. Curran, Ravindranath Duggirala, Jiang He, Susan R. Heckbert, Sharon L. R. Kardia, Ryan W. Kim, Charles Kooperberg, Simin Liu, Rasika A. Mathias, Stephen T. McGarvey, Braxton D. Mitchell, Alanna C. Morrison, Patricia A. Peyser, Bruce M. Psaty, Susan Redline, Alan R. Shuldiner, Kent D. Taylor, Ramachandran S. Vasan, Karine A. Viaud-Martinez, Jose C. Florez, James G. Wilson, Robert Sladek, Stephen S. Rich, Jerome I. Rotter, Xihong Lin, Josée Dupuis, James B. Meigs, Jennifer Wessel, and Alisa K. Manning

Subjects
Biology (General), QH301-705.5
Abstract

This study of 23,000 non-diabetic individuals highlights loci associated with fasting glucose and fasting insulin in diverse cohorts with whole genome sequence data.

Published
2022
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29. A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood

Author

Nuzulul Kurniansyah, Matthew O. Goodman, Tanika N. Kelly, Tali Elfassy, Kerri L. Wiggins, Joshua C. Bis, Xiuqing Guo, Walter Palmas, Kent D. Taylor, Henry J. Lin, Jeffrey Haessler, Yan Gao, Daichi Shimbo, Jennifer A. Smith, Bing Yu, Elena V. Feofanova, Roelof A. J. Smit, Zhe Wang, Shih-Jen Hwang, Simin Liu, Sylvia Wassertheil-Smoller, JoAnn E. Manson, Donald M. Lloyd-Jones, Stephen S. Rich, Ruth J. F. Loos, Susan Redline, Adolfo Correa, Charles Kooperberg, Myriam Fornage, Robert C. Kaplan, Bruce M. Psaty, Jerome I. Rotter, Donna K. Arnett, Alanna C. Morrison, Nora Franceschini, Daniel Levy, the NHLBI Trans-Omics in Precision Medicine (TOPMed) Consortium, and Tamar Sofer

Subjects
Science
Abstract

Polygenic risk scores have potential to predict an individual’s risk of disease based on genetic markers. Here, the authors develop a polygenic risk score for hypertension and test it in a multi-ethnic cohort, finding that the score is associated with higher likelihood of hypertension development 4-6 years later.

Published
2022
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30. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

Author

Thomas W. Winkler, Humaira Rasheed, Alexander Teumer, Mathias Gorski, Bryce X. Rowan, Kira J. Stanzick, Laurent F. Thomas, Adrienne Tin, Anselm Hoppmann, Audrey Y. Chu, Bamidele Tayo, Chris H. L. Thio, Daniele Cusi, Jin-Fang Chai, Karsten B. Sieber, Katrin Horn, Man Li, Markus Scholz, Massimiliano Cocca, Matthias Wuttke, Peter J. van der Most, Qiong Yang, Sahar Ghasemi, Teresa Nutile, Yong Li, Giulia Pontali, Felix Günther, Abbas Dehghan, Adolfo Correa, Afshin Parsa, Agnese Feresin, Aiko P. J. de Vries, Alan B. Zonderman, Albert V. Smith, Albertine J. Oldehinkel, Alessandro De Grandi, Alexander R. Rosenkranz, Andre Franke, Andrej Teren, Andres Metspalu, Andrew A. Hicks, Andrew P. Morris, Anke Tönjes, Anna Morgan, Anna I. Podgornaia, Annette Peters, Antje Körner, Anubha Mahajan, Archie Campbell, Barry I. Freedman, Beatrice Spedicati, Belen Ponte, Ben Schöttker, Ben Brumpton, Bernhard Banas, Bernhard K. Krämer, Bettina Jung, Bjørn Olav Åsvold, Blair H. Smith, Boting Ning, Brenda W. J. H. Penninx, Brett R. Vanderwerff, Bruce M. Psaty, Candace M. Kammerer, Carl D. Langefeld, Caroline Hayward, Cassandra N. Spracklen, Cassianne Robinson-Cohen, Catharina A. Hartman, Cecilia M. Lindgren, Chaolong Wang, Charumathi Sabanayagam, Chew-Kiat Heng, Chiara Lanzani, Chiea-Chuen Khor, Ching-Yu Cheng, Christian Fuchsberger, Christian Gieger, Christian M. Shaffer, Christina-Alexandra Schulz, Cristen J. Willer, Daniel I. Chasman, Daniel F. Gudbjartsson, Daniela Ruggiero, Daniela Toniolo, Darina Czamara, David J. Porteous, Dawn M. Waterworth, Deborah Mascalzoni, Dennis O. Mook-Kanamori, Dermot F. Reilly, E. Warwick Daw, Edith Hofer, Eric Boerwinkle, Erika Salvi, Erwin P. Bottinger, E-Shyong Tai, Eulalia Catamo, Federica Rizzi, Feng Guo, Fernando Rivadeneira, Franco Guilianini, Gardar Sveinbjornsson, Georg Ehret, Gerard Waeber, Ginevra Biino, Giorgia Girotto, Giorgio Pistis, Girish N. Nadkarni, Graciela E. Delgado, Grant W. Montgomery, Harold Snieder, Harry Campbell, Harvey D. White, He Gao, Heather M. Stringham, Helena Schmidt, Hengtong Li, Hermann Brenner, Hilma Holm, Holgen Kirsten, Holly Kramer, Igor Rudan, Ilja M. Nolte, Ioanna Tzoulaki, Isleifur Olafsson, Jade Martins, James P. Cook, James F. Wilson, Jan Halbritter, Janine F. Felix, Jasmin Divers, Jaspal S. Kooner, Jeannette Jen-Mai Lee, Jeffrey O’Connell, Jerome I. Rotter, Jianjun Liu, Jie Xu, Joachim Thiery, Johan Ärnlöv, Johanna Kuusisto, Johanna Jakobsdottir, Johanne Tremblay, John C. Chambers, John B. Whitfield, John M. Gaziano, Jonathan Marten, Josef Coresh, Jost B. Jonas, Josyf C. Mychaleckyj, Kaare Christensen, Kai-Uwe Eckardt, Karen L. Mohlke, Karlhans Endlich, Katalin Dittrich, Kathleen A. Ryan, Kenneth M. Rice, Kent D. Taylor, Kevin Ho, Kjell Nikus, Koichi Matsuda, Konstantin Strauch, Kozeta Miliku, Kristian Hveem, Lars Lind, Lars Wallentin, Laura M. Yerges-Armstrong, Laura M. Raffield, Lawrence S. Phillips, Lenore J. Launer, Leo-Pekka Lyytikäinen, Leslie A. Lange, Lorena Citterio, Lucija Klaric, M. Arfan Ikram, Marcus Ising, Marcus E. Kleber, Margherita Francescatto, Maria Pina Concas, Marina Ciullo, Mario Piratsu, Marju Orho-Melander, Markku Laakso, Markus Loeffler, Markus Perola, Martin H. de Borst, Martin Gögele, Martina La Bianca, Mary Ann Lukas, Mary F. Feitosa, Mary L. Biggs, Mary K. Wojczynski, Maryam Kavousi, Masahiro Kanai, Masato Akiyama, Masayuki Yasuda, Matthias Nauck, Melanie Waldenberger, Miao-Li Chee, Miao-Ling Chee, Michael Boehnke, Michael H. Preuss, Michael Stumvoll, Michael A. Province, Michele K. Evans, Michelle L. O’Donoghue, Michiaki Kubo, Mika Kähönen, Mika Kastarinen, Mike A. Nalls, Mikko Kuokkanen, Mohsen Ghanbari, Murielle Bochud, Navya Shilpa Josyula, Nicholas G. Martin, Nicholas Y. Q. Tan, Nicholette D. Palmer, Nicola Pirastu, Nicole Schupf, Niek Verweij, Nina Hutri-Kähönen, Nina Mononen, Nisha Bansal, Olivier Devuyst, Olle Melander, Olli T. Raitakari, Ozren Polasek, Paolo Manunta, Paolo Gasparini, Pashupati P. Mishra, Patrick Sulem, Patrik K. E. Magnusson, Paul Elliott, Paul M. Ridker, Pavel Hamet, Per O. Svensson, Peter K. Joshi, Peter Kovacs, Peter P. Pramstaller, Peter Rossing, Peter Vollenweider, Pim van der Harst, Rajkumar Dorajoo, Ralene Z. H. Sim, Ralph Burkhardt, Ran Tao, Raymond Noordam, Reedik Mägi, Reinhold Schmidt, Renée de Mutsert, Rico Rueedi, Rob M. van Dam, Robert J. Carroll, Ron T. Gansevoort, Ruth J. F. Loos, Sala Cinzia Felicita, Sanaz Sedaghat, Sandosh Padmanabhan, Sandra Freitag-Wolf, Sarah A. Pendergrass, Sarah E. Graham, Scott D. Gordon, Shih-Jen Hwang, Shona M. Kerr, Simona Vaccargiu, Snehal B. Patil, Stein Hallan, Stephan J. L. Bakker, Su-Chi Lim, Susanne Lucae, Suzanne Vogelezang, Sven Bergmann, Tanguy Corre, Tarunveer S. Ahluwalia, Terho Lehtimäki, Thibaud S. Boutin, Thomas Meitinger, Tien-Yin Wong, Tobias Bergler, Ton J. Rabelink, Tõnu Esko, Toomas Haller, Unnur Thorsteinsdottir, Uwe Völker, Valencia Hui Xian Foo, Veikko Salomaa, Veronique Vitart, Vilmantas Giedraitis, Vilmundur Gudnason, Vincent W. V. Jaddoe, Wei Huang, Weihua Zhang, Wen Bin Wei, Wieland Kiess, Winfried März, Wolfgang Koenig, Wolfgang Lieb, Xin Gao, Xueling Sim, Ya Xing Wang, Yechiel Friedlander, Yih-Chung Tham, Yoichiro Kamatani, Yukinori Okada, Yuri Milaneschi, Zhi Yu, Lifelines cohort study, DiscovEHR/MyCode study, VA Million Veteran Program, Klaus J. Stark, Kari Stefansson, Carsten A. Böger, Adriana M. Hung, Florian Kronenberg, Anna Köttgen, Cristian Pattaro, and Iris M. Heid

Subjects
Biology (General), QH301-705.5
Abstract

A large-scale GWAS provides insight on diabetes-dependent genetic effects on the glomerular filtration rate, a common metric to monitor kidney health in disease.

Published
2022
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31. Plasma sphingolipids, lung function and COPD: the Cardiovascular Health Study

Author

Arya R. Gharib, Paul N. Jensen, Bruce M. Psaty, Andrew N. Hoofnagle, David Siscovick, Sina A. Gharib, Colleen M. Sitlani, Nona Sotoodehnia, and Rozenn N. Lemaitre

Subjects
Medicine
Abstract

Rationale COPD is the third leading cause of death in the United States. Sphingolipids, structural membrane constituents that play a role in cellular stress and apoptosis signalling, may be involved in lung function. Methods In the Cardiovascular Health Study, a prospective cohort of older adults, we cross-sectionally examined the association of plasma levels of 17 sphingolipid species with lung function and COPD. Multivariable linear regression and logistic regression were used to evaluate associations of sphingolipid concentrations with forced expiratory volume in 1 s (FEV1) and odds of COPD, respectively. Results Of the 17 sphingolipids evaluated, ceramide-18 (Cer-18) and sphingomyelin-18 (SM-18) were associated with lower FEV1 values (–0.061 L per two-fold higher Cer-18, p=0.001; −0.092 L per two-fold higher SM-18, p=0.002) after correction for multiple testing. Several other associations were significant at a 0.05 level, but did not reach statistical significance after correction for multiple testing. Specifically, Cer-18 and SM-18 were associated with higher odds of COPD (odds ratio per two-fold higher Cer-18 1.29, p=0.03 and SM-18 1.73, p=0.008). Additionally, Cer-16 and SM-16 were associated with lower FEV1 values, and Cer-14, SM-14 and SM-16 with a higher odds of COPD. Conclusion In this large cross-sectional study, specific ceramides and sphingomyelins were associated with reduced lung function in a population-based study. Future studies are needed to examine whether these biomarkers are associated with longitudinal change in FEV1 within individuals or with incident COPD.

Published
2023
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32. DNA methylation signature of chronic low-grade inflammation and its role in cardio-respiratory diseases

Author

Matthias Wielscher, Pooja R. Mandaviya, Brigitte Kuehnel, Roby Joehanes, Rima Mustafa, Oliver Robinson, Yan Zhang, Barbara Bodinier, Esther Walton, Pashupati P. Mishra, Pascal Schlosser, Rory Wilson, Pei-Chien Tsai, Saranya Palaniswamy, Riccardo E. Marioni, Giovanni Fiorito, Giovanni Cugliari, Ville Karhunen, Mohsen Ghanbari, Bruce M. Psaty, Marie Loh, Joshua C. Bis, Benjamin Lehne, Nona Sotoodehnia, Ian J. Deary, Marc Chadeau-Hyam, Jennifer A. Brody, Alexia Cardona, Elizabeth Selvin, Alicia K. Smith, Andrew H. Miller, Mylin A. Torres, Eirini Marouli, Xin Gào, Joyce B. J. van Meurs, Johanna Graf-Schindler, Wolfgang Rathmann, Wolfgang Koenig, Annette Peters, Wolfgang Weninger, Matthias Farlik, Tao Zhang, Wei Chen, Yujing Xia, Alexander Teumer, Matthias Nauck, Hans J. Grabe, Macus Doerr, Terho Lehtimäki, Weihua Guan, Lili Milani, Toshiko Tanaka, Krista Fisher, Lindsay L. Waite, Silva Kasela, Paolo Vineis, Niek Verweij, Pim van der Harst, Licia Iacoviello, Carlotta Sacerdote, Salvatore Panico, Vittorio Krogh, Rosario Tumino, Evangelia Tzala, Giuseppe Matullo, Mikko A. Hurme, Olli T. Raitakari, Elena Colicino, Andrea A. Baccarelli, Mika Kähönen, Karl-Heinz Herzig, Shengxu Li, BIOS consortium, Karen N. Conneely, Jaspal S. Kooner, Anna Köttgen, Bastiaan T. Heijmans, Panos Deloukas, Caroline Relton, Ken K. Ong, Jordana T. Bell, Eric Boerwinkle, Paul Elliott, Hermann Brenner, Marian Beekman, Daniel Levy, Melanie Waldenberger, John C. Chambers, Abbas Dehghan, and Marjo-Riitta Järvelin

Subjects
Science
Abstract

Chronic inflammation, marked by C-reactive protein, has been associated with changes in methylation, but the causal relationship is unclear. Here, the authors perform a Epigenome-wide association meta-analysis for C-reactive protein levels and find that these methylation changes are likely the consequence of inflammation and could contribute to disease.

Published
2022
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33. Rare coding variants in RCN3 are associated with blood pressure

Author

Karen Y. He, Tanika N. Kelly, Heming Wang, Jingjing Liang, Luke Zhu, Brian E. Cade, Themistocles L. Assimes, Lewis C. Becker, Amber L. Beitelshees, Lawrence F. Bielak, Adam P. Bress, Jennifer A. Brody, Yen-Pei Christy Chang, Yi-Cheng Chang, Paul S. de Vries, Ravindranath Duggirala, Ervin R. Fox, Nora Franceschini, Anna L. Furniss, Yan Gao, Xiuqing Guo, Jeffrey Haessler, Yi-Jen Hung, Shih-Jen Hwang, Marguerite Ryan Irvin, Rita R. Kalyani, Ching-Ti Liu, Chunyu Liu, Lisa Warsinger Martin, May E. Montasser, Paul M. Muntner, Stanford Mwasongwe, Take Naseri, Walter Palmas, Muagututi’a Sefuiva Reupena, Kenneth M. Rice, Wayne H.-H. Sheu, Daichi Shimbo, Jennifer A. Smith, Beverly M. Snively, Lisa R. Yanek, Wei Zhao, John Blangero, Eric Boerwinkle, Yii-Der Ida Chen, Adolfo Correa, L. Adrienne Cupples, Joanne E. Curran, Myriam Fornage, Jiang He, Lifang Hou, Robert C. Kaplan, Sharon L. R. Kardia, Eimear E. Kenny, Charles Kooperberg, Donald Lloyd-Jones, Ruth J. F. Loos, Rasika A. Mathias, Stephen T. McGarvey, Braxton D. Mitchell, Kari E. North, Patricia A. Peyser, Bruce M. Psaty, Laura M. Raffield, D. C. Rao, Susan Redline, Alex P. Reiner, Stephen S. Rich, Jerome I. Rotter, Kent D. Taylor, Russell Tracy, Ramachandran S. Vasan, The Samoan Obesity, Lifestyle and Genetic Adaptations Study (OLaGA) Group, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Alanna C. Morrison, Daniel Levy, Aravinda Chakravarti, Donna K. Arnett, and Xiaofeng Zhu

Subjects
Rare variant analysis, Blood pressure, Whole genome sequencing, Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract

Abstract Background While large genome-wide association studies have identified nearly one thousand loci associated with variation in blood pressure, rare variant identification is still a challenge. In family-based cohorts, genome-wide linkage scans have been successful in identifying rare genetic variants for blood pressure. This study aims to identify low frequency and rare genetic variants within previously reported linkage regions on chromosomes 1 and 19 in African American families from the Trans-Omics for Precision Medicine (TOPMed) program. Genetic association analyses weighted by linkage evidence were completed with whole genome sequencing data within and across TOPMed ancestral groups consisting of 60,388 individuals of European, African, East Asian, Hispanic, and Samoan ancestries. Results Associations of low frequency and rare variants in RCN3 and multiple other genes were observed for blood pressure traits in TOPMed samples. The association of low frequency and rare coding variants in RCN3 was further replicated in UK Biobank samples (N = 403,522), and reached genome-wide significance for diastolic blood pressure (p = 2.01 × 10− 7). Conclusions Low frequency and rare variants in RCN3 contributes blood pressure variation. This study demonstrates that focusing association analyses in linkage regions greatly reduces multiple-testing burden and improves power to identify novel rare variants associated with blood pressure traits.

Published
2022
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34. Circulating differentiated and senescent lymphocyte subsets and incident diabetes risk in older adults: The Cardiovascular Health Study

Author

Nels C. Olson, Margaret F. Doyle, Petra Buzkova, Sally A. Huber, Ian H. deBoer, Colleen M. Sitlani, Russell P. Tracy, Bruce M. Psaty, Kenneth J. Mukamal, and Joseph A. Delaney

Subjects
cellular senescence, diabetes mellitus, epidemiology, lymphocyte subsets, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

Abstract Introduction Cellular senescence is a feature of aging implicated in the pathophysiology of diabetes mellitus (DM). Whether senescent lymphocytes are associated with the future occurrence of DM is uncertain. Methods We used cryopreserved peripheral blood mononuclear cells collected from 1860 Cardiovascular Health Study participants (average age 80.2 years) and flow cytometry immunophenotyping to evaluate the longitudinal relationships of naive (CD45RA+), memory (CD45RO+), senescent (CD28−), and T effector memory RA+ (TEMRA) (CD28−CD57+CD45RA+) CD4+ and CD8+ T cells, and memory B cells (CD19+CD27+), with the risk of incident DM. In exploratory analyses we evaluated the relationships of 13 additional innate lymphocyte and CD4+ and CD8+ subsets with incident DM risk. Results Over a median follow‐up time of 8.9 years, 155 cases of incident DM occurred. In Cox models adjusted for demographic variables (age, sex, race, study site and flow cytometry analytical batch) or diabetes risk factors (demographic variables plus education, body mass index, smoking status, alcohol use, systolic blood pressure, hypertension medication use and physical activity), no significant associations were observed for any CD4+, CD8+ or CD19+ cell phenotypes with incident DM. Conclusions These results suggest the frequencies of naive, memory and senescent T cells and memory B cells are not strongly associated with incident DM risk in older adults.

Published
2023
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35. Inflammation and Incident Conduction Disease

Author

Emilie K. Frimodt‐Møller, John S. Gottdiener, Elsayed Z. Soliman, Jorge R. Kizer, Eric Vittinghoff, Bruce M. Psaty, Tor Biering‐Sørensen, and Gregory M. Marcus

Subjects
atrioventricular block, bundle‐branch block, conduction disease, CRP, inflammation, Diseases of the circulatory (Cardiovascular) system, RC666-701
Published
2023
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36. Association of low-frequency and rare coding variants with information processing speed

Author

Jan Bressler, Gail Davies, Albert V. Smith, Yasaman Saba, Joshua C. Bis, Xueqiu Jian, Caroline Hayward, Lisa Yanek, Jennifer A. Smith, Saira S. Mirza, Ruiqi Wang, Hieab H. H. Adams, Diane Becker, Eric Boerwinkle, Archie Campbell, Simon R. Cox, Gudny Eiriksdottir, Chloe Fawns-Ritchie, Rebecca F. Gottesman, Megan L. Grove, Xiuqing Guo, Edith Hofer, Sharon L. R. Kardia, Maria J. Knol, Marisa Koini, Oscar L. Lopez, Riccardo E. Marioni, Paul Nyquist, Alison Pattie, Ozren Polasek, David J. Porteous, Igor Rudan, Claudia L. Satizabal, Helena Schmidt, Reinhold Schmidt, Stephen Sidney, Jeannette Simino, Blair H. Smith, Stephen T. Turner, Sven J. van der Lee, Erin B. Ware, Rachel A. Whitmer, Kristine Yaffe, Qiong Yang, Wei Zhao, Vilmundur Gudnason, Lenore J. Launer, Annette L. Fitzpatrick, Bruce M. Psaty, Myriam Fornage, M. Arfan Ikram, Cornelia M. van Duijn, Sudha Seshadri, Thomas H. Mosley, and Ian J. Deary

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract Measures of information processing speed vary between individuals and decline with age. Studies of aging twins suggest heritability may be as high as 67%. The Illumina HumanExome Bead Chip genotyping array was used to examine the association of rare coding variants with performance on the Digit-Symbol Substitution Test (DSST) in community-dwelling adults participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. DSST scores were available for 30,576 individuals of European ancestry from nine cohorts and for 5758 individuals of African ancestry from four cohorts who were older than 45 years and free of dementia and clinical stroke. Linear regression models adjusted for age and gender were used for analysis of single genetic variants, and the T5, T1, and T01 burden tests that aggregate the number of rare alleles by gene were also applied. Secondary analyses included further adjustment for education. Meta-analyses to combine cohort-specific results were carried out separately for each ancestry group. Variants in RNF19A reached the threshold for statistical significance (p = 2.01 × 10−6) using the T01 test in individuals of European descent. RNF19A belongs to the class of E3 ubiquitin ligases that confer substrate specificity when proteins are ubiquitinated and targeted for degradation through the 26S proteasome. Variants in SLC22A7 and OR51A7 were suggestively associated with DSST scores after adjustment for education for African-American participants and in the European cohorts, respectively. Further functional characterization of its substrates will be required to confirm the role of RNF19A in cognitive function.

Published
2021
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37. Epigenome-wide association study of serum urate reveals insights into urate co-regulation and the SLC2A9 locus

Author

Adrienne Tin, Pascal Schlosser, Pamela R. Matias-Garcia, Chris H. L. Thio, Roby Joehanes, Hongbo Liu, Zhi Yu, Antoine Weihs, Anselm Hoppmann, Franziska Grundner-Culemann, Josine L. Min, Victoria L. Halperin Kuhns, Adebowale A. Adeyemo, Charles Agyemang, Johan Ärnlöv, Nasir A. Aziz, Andrea Baccarelli, Murielle Bochud, Hermann Brenner, Jan Bressler, Monique M. B. Breteler, Cristian Carmeli, Layal Chaker, Josef Coresh, Tanguy Corre, Adolfo Correa, Simon R. Cox, Graciela E. Delgado, Kai-Uwe Eckardt, Arif B. Ekici, Karlhans Endlich, James S. Floyd, Eliza Fraszczyk, Xu Gao, Xīn Gào, Allan C. Gelber, Mohsen Ghanbari, Sahar Ghasemi, Christian Gieger, Philip Greenland, Megan L. Grove, Sarah E. Harris, Gibran Hemani, Peter Henneman, Christian Herder, Steve Horvath, Lifang Hou, Mikko A. Hurme, Shih-Jen Hwang, Sharon L. R. Kardia, Silva Kasela, Marcus E. Kleber, Wolfgang Koenig, Jaspal S. Kooner, Florian Kronenberg, Brigitte Kühnel, Christine Ladd-Acosta, Terho Lehtimäki, Lars Lind, Dan Liu, Donald M. Lloyd-Jones, Stefan Lorkowski, Ake T. Lu, Riccardo E. Marioni, Winfried März, Daniel L. McCartney, Karlijn A. C. Meeks, Lili Milani, Pashupati P. Mishra, Matthias Nauck, Christoph Nowak, Annette Peters, Holger Prokisch, Bruce M. Psaty, Olli T. Raitakari, Scott M. Ratliff, Alex P. Reiner, Ben Schöttker, Joel Schwartz, Sanaz Sedaghat, Jennifer A. Smith, Nona Sotoodehnia, Hannah R. Stocker, Silvia Stringhini, Johan Sundström, Brenton R. Swenson, Joyce B. J. van Meurs, Jana V. van Vliet-Ostaptchouk, Andrea Venema, Uwe Völker, Juliane Winkelmann, Bruce H. R. Wolffenbuttel, Wei Zhao, Yinan Zheng, The Estonian Biobank Research Team, The Genetics of DNA Methylation Consortium, Marie Loh, Harold Snieder, Melanie Waldenberger, Daniel Levy, Shreeram Akilesh, Owen M. Woodward, Katalin Susztak, Alexander Teumer, and Anna Köttgen

Subjects
Science
Abstract

Serum urate concentration can be studied in large datasets to find genetic and epigenetic loci that may be related to cardiometabolic traits. Here the authors identify and replicate 100 urate-associated CpGs, which provide insights into urate GWAS loci and shared CpGs of urate and cardiometabolic traits.

Published
2021
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38. Meta-analyses identify DNA methylation associated with kidney function and damage

Author

Pascal Schlosser, Adrienne Tin, Pamela R. Matias-Garcia, Chris H. L. Thio, Roby Joehanes, Hongbo Liu, Antoine Weihs, Zhi Yu, Anselm Hoppmann, Franziska Grundner-Culemann, Josine L. Min, Adebowale A. Adeyemo, Charles Agyemang, Johan Ärnlöv, Nasir A. Aziz, Andrea Baccarelli, Murielle Bochud, Hermann Brenner, Monique M. B. Breteler, Cristian Carmeli, Layal Chaker, John C. Chambers, Shelley A. Cole, Josef Coresh, Tanguy Corre, Adolfo Correa, Simon R. Cox, Niek de Klein, Graciela E. Delgado, Arce Domingo-Relloso, Kai-Uwe Eckardt, Arif B. Ekici, Karlhans Endlich, Kathryn L. Evans, James S. Floyd, Myriam Fornage, Lude Franke, Eliza Fraszczyk, Xu Gao, Xīn Gào, Mohsen Ghanbari, Sahar Ghasemi, Christian Gieger, Philip Greenland, Megan L. Grove, Sarah E. Harris, Gibran Hemani, Peter Henneman, Christian Herder, Steve Horvath, Lifang Hou, Mikko A. Hurme, Shih-Jen Hwang, Marjo-Riitta Jarvelin, Sharon L. R. Kardia, Silva Kasela, Marcus E. Kleber, Wolfgang Koenig, Jaspal S. Kooner, Holly Kramer, Florian Kronenberg, Brigitte Kühnel, Terho Lehtimäki, Lars Lind, Dan Liu, Yongmei Liu, Donald M. Lloyd-Jones, Kurt Lohman, Stefan Lorkowski, Ake T. Lu, Riccardo E. Marioni, Winfried März, Daniel L. McCartney, Karlijn A. C. Meeks, Lili Milani, Pashupati P. Mishra, Matthias Nauck, Ana Navas-Acien, Christoph Nowak, Annette Peters, Holger Prokisch, Bruce M. Psaty, Olli T. Raitakari, Scott M. Ratliff, Alex P. Reiner, Sylvia E. Rosas, Ben Schöttker, Joel Schwartz, Sanaz Sedaghat, Jennifer A. Smith, Nona Sotoodehnia, Hannah R. Stocker, Silvia Stringhini, Johan Sundström, Brenton R. Swenson, Maria Tellez-Plaza, Joyce B. J. van Meurs, Jana V. van Vliet-Ostaptchouk, Andrea Venema, Niek Verweij, Rosie M. Walker, Matthias Wielscher, Juliane Winkelmann, Bruce H. R. Wolffenbuttel, Wei Zhao, Yinan Zheng, Estonian Biobank Research Team, Genetics of DNA Methylation Consortium, Marie Loh, Harold Snieder, Daniel Levy, Melanie Waldenberger, Katalin Susztak, Anna Köttgen, and Alexander Teumer

Subjects
Science
Abstract

Many genetic loci have been identified to be associated with kidney disease, but the molecular mechanisms are not well understood. Here, the authors perform epigenome-wide association studies on kidney function measures to identify epigenetic marks and pathways involved in kidney function.

Published
2021
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39. The genomics of heart failure: design and rationale of the HERMES consortium

Author

R. Thomas Lumbers, Sonia Shah, Honghuang Lin, Tomasz Czuba, Albert Henry, Daniel I. Swerdlow, Anders Mälarstig, Charlotte Andersson, Niek Verweij, Michael V. Holmes, Johan Ärnlöv, Per Svensson, Harry Hemingway, Neneh Sallah, Peter Almgren, Krishna G. Aragam, Geraldine Asselin, Joshua D. Backman, Mary L. Biggs, Heather L. Bloom, Eric Boersma, Jeffrey Brandimarto, Michael R. Brown, Hans‐Peter Brunner‐La Rocca, David J. Carey, Mark D. Chaffin, Daniel I. Chasman, Olympe Chazara, Xing Chen, Xu Chen, Jonathan H. Chung, William Chutkow, John G.F. Cleland, James P. Cook, Simon deDenus, Abbas Dehghan, Graciela E. Delgado, Spiros Denaxas, Alexander S. Doney, Marcus Dörr, Samuel C. Dudley, Gunnar Engström, Tõnu Esko, Ghazaleh Fatemifar, Stephan B. Felix, Chris Finan, Ian Ford, Francoise Fougerousse, René Fouodjio, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Franco Giulianini, John S. Gottdiener, Stefan Gross, Daníel F. Guðbjartsson, Hongsheng Gui, Rebecca Gutmann, Christopher M. Haggerty, Pim van derHarst, Åsa K. Hedman, Anna Helgadottir, Hans Hillege, Craig L. Hyde, Jaison Jacob, J. Wouter Jukema, Frederick Kamanu, Isabella Kardys, Maryam Kavousi, Kay‐Tee Khaw, Marcus E. Kleber, Lars Køber, Andrea Koekemoer, Bill Kraus, Karoline Kuchenbaecker, Claudia Langenberg, Lars Lind, Cecilia M. Lindgren, Barry London, Luca A. Lotta, Ruth C. Lovering, Jian'an Luan, Patrik Magnusson, Anubha Mahajan, Douglas Mann, Kenneth B. Margulies, Nicholas A. Marston, Winfried März, John J.V. McMurray, Olle Melander, Giorgio Melloni, Ify R. Mordi, Michael P. Morley, Andrew D. Morris, Andrew P. Morris, Alanna C. Morrison, Michael W. Nagle, Christopher P. Nelson, Christopher Newton‐Cheh, Alexander Niessner, Teemu Niiranen, Christoph Nowak, Michelle L. O'Donoghue, Anjali T. Owens, Colin N.A. Palmer, Guillaume Paré, Markus Perola, Louis‐Philippe Lemieux Perreault, Eliana Portilla‐Fernandez, Bruce M. Psaty, Kenneth M. Rice, Paul M. Ridker, Simon P.R. Romaine, Carolina Roselli, Jerome I. Rotter, Christian T. Ruff, Marc S. Sabatine, Perttu Salo, Veikko Salomaa, Jessica vanSetten, Alaa A. Shalaby, Diane T. Smelser, Nicholas L. Smith, Kari Stefansson, Steen Stender, David J. Stott, Garðar Sveinbjörnsson, Mari‐Liis Tammesoo, Jean‐Claude Tardif, Kent D. Taylor, Maris Teder‐Laving, Alexander Teumer, Guðmundur Thorgeirsson, Unnur Thorsteinsdottir, Christian Torp‐Pedersen, Stella Trompet, Danny Tuckwell, Benoit Tyl, Andre G. Uitterlinden, Felix Vaura, Abirami Veluchamy, Peter M. Visscher, Uwe Völker, Adriaan A. Voors, Xiaosong Wang, Nicholas J. Wareham, Peter E. Weeke, Raul Weiss, Harvey D. White, Kerri L. Wiggins, Heming Xing, Jian Yang, Yifan Yang, Laura M. Yerges‐Armstrong, Bing Yu, Faiez Zannad, Faye Zhao, Regeneron Genetics Center, Jemma B. Wilk, Hilma Holm, Naveed Sattar, Steven A. Lubitz, David E. Lanfear, Svati Shah, Michael E. Dunn, Quinn S. Wells, Folkert W. Asselbergs, Aroon D. Hingorani, Marie‐Pierre Dubé, Nilesh J. Samani, Chim C. Lang, Thomas P. Cappola, Patrick T. Ellinor, Ramachandran S. Vasan, and J. Gustav Smith

Subjects
Heart failure, Cardiomyopathy, Genetics, Biomarkers, Association studies, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Abstract Aims The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. Methods and results The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome‐wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow‐up following heart failure diagnosis ranged from 2 to 116 months. Forty‐nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34–90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low‐frequency variants (allele frequency 0.01–0.05) at P

Published
2021
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40. Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function

Author

Tianzhong Yang, Victoria E. Jackson, Albert V. Smith, Han Chen, Traci M. Bartz, Colleen M. Sitlani, Bruce M. Psaty, Sina A. Gharib, George T. O’Connor, Josée Dupuis, Jiayi Xu, Kurt Lohman, Yongmei Liu, Stephen B. Kritchevsky, Patricia A. Cassano, Claudia Flexeder, Christian Gieger, Stefan Karrasch, Annette Peters, Holger Schulz, Sarah E. Harris, John M. Starr, Ian J. Deary, Ani Manichaikul, Elizabeth C. Oelsner, R. G. Barr, Kent D. Taylor, Stephen S. Rich, Tobias N. Bonten, Dennis O. Mook-Kanamori, Raymond Noordam, Ruifang Li-Gao, Marjo-Riitta Jarvelin, Matthias Wielscher, Natalie Terzikhan, Lies Lahousse, Guy Brusselle, Stefan Weiss, Ralf Ewert, Sven Gläser, Georg Homuth, Nick Shrine, Ian P. Hall, Martin Tobin, Stephanie J. London, Peng Wei, and Alanna C. Morrison

Subjects
Medicine, Science
Abstract

Abstract Genome-wide association studies have identified numerous common genetic variants associated with spirometric measures of pulmonary function, including forced expiratory volume in one second (FEV1), forced vital capacity, and their ratio. However, variants with lower minor allele frequencies are less explored. We conducted a large-scale gene-smoking interaction meta-analysis on exonic rare and low-frequency variants involving 44,429 individuals of European ancestry in the discovery stage and sought replication in the UK BiLEVE study with 45,133 European ancestry samples and UK Biobank study with 59,478 samples. We leveraged data on cigarette smoking, the major environmental risk factor for reduced lung function, by testing gene-by-smoking interaction effects only and simultaneously testing the genetic main effects and interaction effects. The most statistically significant signal that replicated was a previously reported low-frequency signal in GPR126, distinct from common variant associations in this gene. Although only nominal replication was obtained for a top rare variant signal rs142935352 in one of the two studies, interaction and joint tests for current smoking and PDE3B were significantly associated with FEV1. This study investigates the utility of assessing gene-by-smoking interactions and underscores their effects on potential pulmonary function.

Published
2021
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41. Circulating Soluble CD163, Associations With Cardiovascular Outcomes and Mortality, and Identification of Genetic Variants in Older Individuals: The Cardiovascular Health Study

Author

Peter Durda, Laura M. Raffield, Ethan M. Lange, Nels C. Olson, Nancy Swords Jenny, Mary Cushman, Pia Deichgraeber, Niels Grarup, Anna Jonsson, Torben Hansen, Josyf C. Mychaleckyj, Bruce M. Psaty, Alex P. Reiner, Russell P. Tracy, and Leslie A. Lange

Subjects
cardiovascular diseases, CD163 antigen, genome‐wide association study, humans, monocytes, risk factors, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background Monocytes/macrophages participate in cardiovascular disease. CD163 (cluster of differentiation 163) is a monocyte/macrophage receptor, and the shed sCD163 (soluble CD163) reflects monocyte/macrophage activation. We examined the association of sCD163 with incident cardiovascular disease events and performed a genome‐wide association study to identify sCD163‐associated variants. Methods and Results We measured plasma sCD163 in 5214 adults (aged ≥65 years, 58.7% women, 16.2% Black) of the CHS (Cardiovascular Health Study). We used Cox regression models (associations of sCD163 with incident events and mortality); median follow‐up was 26 years. Genome‐wide association study analyses were stratified on race. Adjusted for age, sex, and race and ethnicity, sCD163 levels were associated with all‐cause mortality (hazard ratio [HR], 1.08 [95% CI, 1.04–1.12] per SD increase), cardiovascular disease mortality (HR, 1.15 [95% CI, 1.09–1.21]), incident coronary heart disease (HR, 1.10 [95% CI, 1.04–1.16]), and incident heart failure (HR, 1.18 [95% CI, 1.12–1.25]). When further adjusted (eg, cardiovascular disease risk factors), only incident coronary heart disease lost significance. In European American individuals, genome‐wide association studies identified 38 variants on chromosome 2 near MGAT5 (top result rs62165726, P=3.3×10−18),19 variants near chromosome 17 gene ASGR1 (rs55714927, P=1.5×10−14), and 18 variants near chromosome 11 gene ST3GAL4. These regions replicated in the European ancestry ADDITION‐PRO cohort, a longitudinal cohort study nested in the Danish arm of the Anglo‐Danish‐Dutch study of Intensive Treatment Intensive Treatment In peOple with screeNdetcted Diabetes in Primary Care. In Black individuals, we identified 9 variants on chromosome 6 (rs3129781 P=7.1×10−9) in the HLA region, and 3 variants (rs115391969 P=4.3×10−8) near the chromosome 16 gene MYLK3. Conclusions Monocyte function, as measured by sCD163, may be predictive of overall and cardiovascular‐specific mortality and incident heart failure.

Published
2022
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42. Plasma epoxyeicosatrienoic acids and diabetes-related cardiovascular disease: The cardiovascular health study

Author

Rozenn N. Lemaitre, Paul N. Jensen, Maxwell Zeigler, Amanda M. Fretts, Jason G. Umans, Barbara V. Howard, Colleen M. Sitlani, Barbara McKnight, Sina A. Gharib, Irena B. King, David S. Siscovick, Bruce M. Psaty, Nona Sotoodehnia, and Rheem A. Totah

Subjects
Epoxyeicosatrienoic acids, Diabetes, Myocardial infarction, Ischemic stroke, Epidemiology, Medicine, Medicine (General), R5-920
Abstract

Summary: Background: Epoxyeicosatrienoic acids (EETs) are metabolites of arachidonic acid that may impact atherosclerosis, and animal experimental studies suggest EETs protect cardiac function. Plasma EETs are mostly esterified to phospholipids and part of an active pool. To address the limited information about EETs and CVD in humans, we conducted a prospective study of total plasma EETs (free + esterified) and diabetes-related CVD in the Cardiovascular Health Study (CHS). Methods: We measured 4 EET species and their metabolites, dihydroxyepoxyeicosatrienoic acids (DHETs), in plasma samples from 892 CHS participants with type 2 diabetes. We determined the association of EETs and DHETs with incident myocardial infarction (MI) and ischemic stroke using Cox regression. Findings: During follow-up (median 7.5 years), we identified 150 MI and 134 ischemic strokes. In primary, multivariable analyses, elevated levels of each EET species were associated with non-significant lower risk of incident MI (for example, hazard ratio for 1 SD higher 14,15-EET: 0.86, 95% CI: 0.72–1.02; p=0.08). The EETs-MI associations became significant in analyses further adjusted for DHETs (hazard ratio for 1 SD higher 14,15-EET adjusted for 14,15-DHET: 0.76, 95% CI: 0.63–0.91; p=0.004). Elevated EET levels were associated with higher risk of ischemic stroke in primary but not secondary analyses. Three DHET species were associated with higher risk of ischemic stroke in all analyses. Interpretation: Findings from this prospective study complement the extensive studies in animal models showing EETs protect cardiac function and provide new information in humans. Replication is needed to confirm the associations. Funding: US National Institutes of Health.

Published
2022
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43. Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program

Author

Brian E. Cade, Jiwon Lee, Tamar Sofer, Heming Wang, Man Zhang, Han Chen, Sina A. Gharib, Daniel J. Gottlieb, Xiuqing Guo, Jacqueline M. Lane, Jingjing Liang, Xihong Lin, Hao Mei, Sanjay R. Patel, Shaun M. Purcell, Richa Saxena, Neomi A. Shah, Daniel S. Evans, Craig L. Hanis, David R. Hillman, Sutapa Mukherjee, Lyle J. Palmer, Katie L. Stone, Gregory J. Tranah, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Gonçalo R. Abecasis, Eric A. Boerwinkle, Adolfo Correa, L. Adrienne Cupples, Robert C. Kaplan, Deborah A. Nickerson, Kari E. North, Bruce M. Psaty, Jerome I. Rotter, Stephen S. Rich, Russell P. Tracy, Ramachandran S. Vasan, James G. Wilson, Xiaofeng Zhu, Susan Redline, and TOPMed Sleep Working Group

Subjects
Sleep-disordered breathing, Sleep apnea, Whole-genome sequencing, WGS, Genome-wide association study, GWAS, Medicine, Genetics, QH426-470
Abstract

Abstract Background Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing. Methods The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation

Published
2021
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44. A multi-ethnic epigenome-wide association study of leukocyte DNA methylation and blood lipids

Author

Mina-A Jhun, Michael Mendelson, Rory Wilson, Rahul Gondalia, Roby Joehanes, Elias Salfati, Xiaoping Zhao, Kim Valeska Emilie Braun, Anh Nguyet Do, Åsa K. Hedman, Tao Zhang, Elena Carnero-Montoro, Jincheng Shen, Traci M. Bartz, Jennifer A. Brody, May E. Montasser, Jeff R. O’Connell, Chen Yao, Rui Xia, Eric Boerwinkle, Megan Grove, Weihua Guan, Pfeiffer Liliane, Paula Singmann, Martina Müller-Nurasyid, Thomas Meitinger, Christian Gieger, Annette Peters, Wei Zhao, Erin B. Ware, Jennifer A. Smith, Klodian Dhana, Joyce van Meurs, Andre Uitterlinden, Mohammad Arfan Ikram, Mohsen Ghanbari, Deugi Zhi, Stefan Gustafsson, Lars Lind, Shengxu Li, Dianjianyi Sun, Tim D. Spector, Yii-der Ida Chen, Coleen Damcott, Alan R. Shuldiner, Devin M. Absher, Steve Horvath, Philip S. Tsao, Sharon Kardia, Bruce M. Psaty, Nona Sotoodehnia, Jordana T. Bell, Erik Ingelsson, Wei Chen, Abbas Dehghan, Donna K. Arnett, Melanie Waldenberger, Lifang Hou, Eric A. Whitsel, Andrea Baccarelli, Daniel Levy, Myriam Fornage, Marguerite R. Irvin, and Themistocles L. Assimes

Subjects
Science
Abstract

Abnormal blood lipid levels are important risk factors for cardiovascular and other various diseases. Here the authors conduct a large-scale multi-ethnic epigenome-wide association study combined with epigenetic (cis-QTL and eQTM) data, and identify CpG-lipid traits associations that are specific to or common across racial/ethnic groups.

Published
2021
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45. Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes

Author

Julia K. Goodrich, Moriel Singer-Berk, Rachel Son, Abigail Sveden, Jordan Wood, Eleina England, Joanne B. Cole, Ben Weisburd, Nick Watts, Lizz Caulkins, Peter Dornbos, Ryan Koesterer, Zachary Zappala, Haichen Zhang, Kristin A. Maloney, Andy Dahl, Carlos A. Aguilar-Salinas, Gil Atzmon, Francisco Barajas-Olmos, Nir Barzilai, John Blangero, Eric Boerwinkle, Lori L. Bonnycastle, Erwin Bottinger, Donald W. Bowden, Federico Centeno-Cruz, John C. Chambers, Nathalie Chami, Edmund Chan, Juliana Chan, Ching-Yu Cheng, Yoon Shin Cho, Cecilia Contreras-Cubas, Emilio Córdova, Adolfo Correa, Ralph A. DeFronzo, Ravindranath Duggirala, Josée Dupuis, Ma Eugenia Garay-Sevilla, Humberto García-Ortiz, Christian Gieger, Benjamin Glaser, Clicerio González-Villalpando, Ma Elena Gonzalez, Niels Grarup, Leif Groop, Myron Gross, Christopher Haiman, Sohee Han, Craig L. Hanis, Torben Hansen, Nancy L. Heard-Costa, Brian E. Henderson, Juan Manuel Malacara Hernandez, Mi Yeong Hwang, Sergio Islas-Andrade, Marit E. Jørgensen, Hyun Min Kang, Bong-Jo Kim, Young Jin Kim, Heikki A. Koistinen, Jaspal Singh Kooner, Johanna Kuusisto, Soo-Heon Kwak, Markku Laakso, Leslie Lange, Jong-Young Lee, Juyoung Lee, Donna M. Lehman, Allan Linneberg, Jianjun Liu, Ruth J. F. Loos, Valeriya Lyssenko, Ronald C. W. Ma, Angélica Martínez-Hernández, James B. Meigs, Thomas Meitinger, Elvia Mendoza-Caamal, Karen L. Mohlke, Andrew D. Morris, Alanna C. Morrison, Maggie C. Y. Ng, Peter M. Nilsson, Christopher J. O’Donnell, Lorena Orozco, Colin N. A. Palmer, Kyong Soo Park, Wendy S. Post, Oluf Pedersen, Michael Preuss, Bruce M. Psaty, Alexander P. Reiner, Cristina Revilla-Monsalve, Stephen S. Rich, Jerome I. Rotter, Danish Saleheen, Claudia Schurmann, Xueling Sim, Rob Sladek, Kerrin S. Small, Wing Yee So, Timothy D. Spector, Konstantin Strauch, Tim M. Strom, E. Shyong Tai, Claudia H. T. Tam, Yik Ying Teo, Farook Thameem, Brian Tomlinson, Russell P. Tracy, Tiinamaija Tuomi, Jaakko Tuomilehto, Teresa Tusié-Luna, Rob M. van Dam, Ramachandran S. Vasan, James G. Wilson, Daniel R. Witte, Tien-Yin Wong, AMP-T2D-GENES Consortia, Noël P. Burtt, Noah Zaitlen, Mark I. McCarthy, Michael Boehnke, Toni I. Pollin, Jason Flannick, Josep M. Mercader, Anne O’Donnell-Luria, Samantha Baxter, Jose C. Florez, Daniel G. MacArthur, and Miriam S. Udler

Subjects
Science
Abstract

Penetrance of variants in monogenic disease and clinical utility of common polygenic variation has not been well explored on a large-scale. Here, the authors use exome sequencing data from 77,184 individuals to generate penetrance estimates and assess the utility of polygenic variation in risk prediction of monogenic variants.

Published
2021
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46. Variant-specific inflation factors for assessing population stratification at the phenotypic variance level

Author

Tamar Sofer, Xiuwen Zheng, Cecelia A. Laurie, Stephanie M. Gogarten, Jennifer A. Brody, Matthew P. Conomos, Joshua C. Bis, Timothy A. Thornton, Adam Szpiro, Jeffrey R. O’Connell, Ethan M. Lange, Yan Gao, L. Adrienne Cupples, Bruce M. Psaty, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, and Kenneth M. Rice

Subjects
Science
Abstract

Pooling participant-level genetic data into a single analysis can result in variance stratification, reducing statistical performance. Here, the authors develop variant-specific inflation factors to assess variance stratification and apply this to pooled individual-level data from whole genome sequencing.

Published
2021
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47. Plasma Levels of Advanced Glycation Endproducts and Risk of Cardiovascular Events: Findings From 2 Prospective Cohorts

Author

Julio A. Lamprea‐Montealegre, Alice M. Arnold, Robyn L. McCLelland, Kenneth J. Mukamal, Luc Djousse, Mary L. Biggs, David S. Siscovick, Russell P. Tracy, Paul J. Beisswenger, Bruce M. Psaty, Joachim H. Ix, and Jorge R. Kizer

Subjects
advanced glycation endproducts, aging, cardiovascular disease, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background Advanced glycation endproducts (AGEs) have been linked to cardiovascular disease (CVD) in cohorts with and without diabetes. Data are lacking on prospective associations of various α‐dicarbonyl‐derived AGEs and incident CVD in the general population. We tested the hypothesis that major plasma AGEs are associated with new‐onset CVD in 2 population‐based cohorts of differing age and comorbidities. Methods and Results Analyses involved a random subcohort (n=466) from the Cardiovascular Health Study and a case‐cohort sample (n=1631) from the Multi‐Ethnic Study of Atherosclerosis. Five AGEs and 2 oxidative products were measured by liquid chromatography tandem mass spectrometry. Associations with CVD (myocardial infarction and stroke) were evaluated with Cox regression. Participants in the Cardiovascular Health Study were older than the Multi‐Ethnic Study of Atherosclerosis, and had more comorbidities, along with higher levels of all AGEs. During median follow‐up of 11 years, 439 participants in the Multi‐Ethnic Study of Atherosclerosis and 200 in the Cardiovascular Health Study developed CVD. After multivariable adjustment, carboxymethyl‐lysine, 3‐deoxyglucosone hydroimidazolones and a summary variable of all measured AGEs (principal component 1) were significantly associated with incident CVD in the Cardiovascular Health Study (HRs [95% CI]: 1.20 [1.01, 1.42], 1.45 [1.23, 1.72], and 1.29 [1.06, 1.56], respectively), but not the Multi‐Ethnic Study of Atherosclerosis. Oxidative products were not associated with CVD in either cohort. Conclusions We found α‐dicarbonyl‐derived AGEs to be associated with CVD in an older cohort, but not in a healthier middle‐aged/older cohort. Our results suggest that AGEs may exert detrimental cardiovascular effects only under conditions of marked dicarbonyl and oxidative stress. Further investigation of α‐dicarbonyl derivatives could lead to potential new strategies for CVD prevention in high‐risk older populations.

Published
2022
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48. Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices

Author

Pradeep Natarajan, Akhil Pampana, Sarah E. Graham, Sanni E. Ruotsalainen, James A. Perry, Paul S. de Vries, Jai G. Broome, James P. Pirruccello, Michael C. Honigberg, Krishna Aragam, Brooke Wolford, Jennifer A. Brody, Lucinda Antonacci-Fulton, Moscati Arden, Stella Aslibekyan, Themistocles L. Assimes, Christie M. Ballantyne, Lawrence F. Bielak, Joshua C. Bis, Brian E. Cade, Ron Do, Harsha Doddapaneni, Leslie S. Emery, Yi-Jen Hung, Marguerite R. Irvin, Alyna T. Khan, Leslie Lange, Jiwon Lee, Rozenn N. Lemaitre, Lisa W. Martin, Ginger Metcalf, May E. Montasser, Jee-Young Moon, Donna Muzny, Jeffrey R. O’Connell, Nicholette D. Palmer, Juan M. Peralta, Patricia A. Peyser, Adrienne M. Stilp, Michael Tsai, Fei Fei Wang, Daniel E. Weeks, Lisa R. Yanek, James G. Wilson, Goncalo Abecasis, Donna K. Arnett, Lewis C. Becker, John Blangero, Eric Boerwinkle, Donald W. Bowden, Yi-Cheng Chang, Yii-Der I. Chen, Won Jung Choi, Adolfo Correa, Joanne E. Curran, Mark J. Daly, Susan K. Dutcher, Patrick T. Ellinor, Myriam Fornage, Barry I. Freedman, Stacey Gabriel, Soren Germer, Richard A. Gibbs, Jiang He, Kristian Hveem, Gail P. Jarvik, Robert C. Kaplan, Sharon L. R. Kardia, Eimear Kenny, Ryan W. Kim, Charles Kooperberg, Cathy C. Laurie, Seonwook Lee, Don M. Lloyd-Jones, Ruth J. F. Loos, Steven A. Lubitz, Rasika A. Mathias, Karine A. Viaud Martinez, Stephen T. McGarvey, Braxton D. Mitchell, Deborah A. Nickerson, Kari E. North, Aarno Palotie, Cheol Joo Park, Bruce M. Psaty, D. C. Rao, Susan Redline, Alexander P. Reiner, Daekwan Seo, Jeong-Sun Seo, Albert V. Smith, Russell P. Tracy, Ramachandran S. Vasan, Sekar Kathiresan, L. Adrienne Cupples, Jerome I. Rotter, Alanna C. Morrison, Stephen S. Rich, Samuli Ripatti, Cristen Willer, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, FinnGen, and Gina M. Peloso

Subjects
Science
Abstract

The influence of X chromosome genetic variation on blood lipids and coronary heart disease (CHD) is not well understood. Here, the authors analyse X chromosome sequencing data across 65,322 multi-ancestry individuals, identifying associations of the Xq23 locus with lipid changes and reduced risk of CHD and diabetes mellitus.

Published
2021
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49. Blood n-3 fatty acid levels and total and cause-specific mortality from 17 prospective studies

Author

William S. Harris, Nathan L. Tintle, Fumiaki Imamura, Frank Qian, Andres V. Ardisson Korat, Matti Marklund, Luc Djoussé, Julie K. Bassett, Pierre-Hugues Carmichael, Yun-Yu Chen, Yoichiro Hirakawa, Leanne K. Küpers, Federica Laguzzi, Maria Lankinen, Rachel A. Murphy, Cécilia Samieri, Mackenzie K. Senn, Peilin Shi, Jyrki K. Virtanen, Ingeborg A. Brouwer, Kuo-Liong Chien, Gudny Eiriksdottir, Nita G. Forouhi, Johanna M. Geleijnse, Graham G. Giles, Vilmundur Gudnason, Catherine Helmer, Allison Hodge, Rebecca Jackson, Kay-Tee Khaw, Markku Laakso, Heidi Lai, Danielle Laurin, Karin Leander, Joan Lindsay, Renata Micha, Jaako Mursu, Toshiharu Ninomiya, Wendy Post, Bruce M. Psaty, Ulf Risérus, Jennifer G. Robinson, Aladdin H. Shadyab, Linda Snetselaar, Aleix Sala-Vila, Yangbo Sun, Lyn M. Steffen, Michael Y. Tsai, Nicholas J. Wareham, Alexis C. Wood, Jason H. Y. Wu, Frank Hu, Qi Sun, David S. Siscovick, Rozenn N. Lemaitre, Dariush Mozaffarian, and The Fatty Acids and Outcomes Research Consortium (FORCE)

Subjects
Science
Abstract

Associations between of omega-3 fatty acids and mortality are not clear. Here the authors report that, based on a pooled analysis of 17 prospective cohort studies, higher blood omega-3 fatty acid levels correlate with lower risk of all-cause mortality.

Published
2021
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50. Natural killer cells, gamma delta T cells and classical monocytes are associated with systolic blood pressure in the multi-ethnic study of atherosclerosis (MESA)

Author

Joseph A. C. Delaney, Nels C. Olson, Colleen M. Sitlani, Alison E. Fohner, Sally A. Huber, Alan L. Landay, Susan R. Heckbert, Russell P. Tracy, Bruce M. Psaty, Matt Feinstein, and Margaret F. Doyle

Subjects
Lymphocytes, Innate immunity, Adaptive immunity, Systolic blood pressure, Cryopreserved cells, Longitudinal cohort study, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

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 ± 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 (CD14++CD16−) 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.

Published
2021
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