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2025
Shetty NS, Gaonkar M, Pampana A, Patel N, Morrison AC, Reiner AP, Carson AP, Yu B, Psaty BM, Kooperberg C, et al. Cardiovascular Risk Factors and Genetic Risk in Transthyretin V142I Carriers. JACC Heart Fail. 2025 ;13(1):91-101.
Shetty NS, Gaonkar M, Pampana A, Patel N, Morrison AC, Reiner AP, Carson AP, Yu B, Psaty BM, Kooperberg C, et al. Cardiovascular Risk Factors and Genetic Risk in Transthyretin V142I Carriers. JACC Heart Fail. 2025 ;13(1):91-101.
Yaqub A, Bis JC, Frenzel S, Koini M, Mbangdadji D, Peloso GM, Talluri R, Alonso A, Bahls M, Bülow R, et al. Clinical and Imaging Markers of Cardiac Function and Brain Health: A Meta-Analysis of Community-Based Studies. Neurology. 2025 ;104(8):e213421.
Yaqub A, Bis JC, Frenzel S, Koini M, Mbangdadji D, Peloso GM, Talluri R, Alonso A, Bahls M, Bülow R, et al. Clinical and Imaging Markers of Cardiac Function and Brain Health: A Meta-Analysis of Community-Based Studies. Neurology. 2025 ;104(8):e213421.
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Henry A, Mo X, Finan C, Chaffin MD, Speed D, Issa H, Denaxas S, Ware JS, Zheng SL, Mälarstig A, et al. Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nat Genet. 2025 .
Jakubek YA, Ma X, Stilp AM, Yu F, Bacon J, Wong JW, Aguet F, Ardlie K, Arnett DK, Barnes K, et al. Genomic and phenotypic correlates of mosaic loss of chromosome Y in blood. Am J Hum Genet. 2025 ;112(2):276-290.
Weng L-C, Rämö JT, Jurgens SJ, Khurshid S, Chaffin M, Hall AWeber, Morrill VN, Wang X, Nauffal V, Sun YV, et al. The impact of common and rare genetic variants on bradyarrhythmia development. Nat Genet. 2025 ;57(1):53-64.
Lee S, Miller CL, Bentley AR, Brown MR, Nagarajan P, Noordam R, Morrison J, Schwander K, Westerman K, Kho M, et al. A Large-Scale Genome-wide Association Study of Blood Pressure Accounting for Gene-Depressive Symptomatology Interactions in 564,680 Individuals from Diverse Populations. Res Sq. 2025 .
Lee S, Miller CL, Bentley AR, Brown MR, Nagarajan P, Noordam R, Morrison J, Schwander K, Westerman K, Kho M, et al. A Large-Scale Genome-wide Association Study of Blood Pressure Accounting for Gene-Depressive Symptomatology Interactions in 564,680 Individuals from Diverse Populations. Res Sq. 2025 .
Lee S, Miller CL, Bentley AR, Brown MR, Nagarajan P, Noordam R, Morrison J, Schwander K, Westerman K, Kho M, et al. A Large-Scale Genome-wide Association Study of Blood Pressure Accounting for Gene-Depressive Symptomatology Interactions in 564,680 Individuals from Diverse Populations. Res Sq. 2025 .
Lee S, Miller CL, Bentley AR, Brown MR, Nagarajan P, Noordam R, Morrison J, Schwander K, Westerman K, Kho M, et al. A Large-Scale Genome-wide Association Study of Blood Pressure Accounting for Gene-Depressive Symptomatology Interactions in 564,680 Individuals from Diverse Populations. Res Sq. 2025 .
Lee S, Miller CL, Bentley AR, Brown MR, Nagarajan P, Noordam R, Morrison J, Schwander K, Westerman K, Kho M, et al. A Large-Scale Genome-wide Association Study of Blood Pressure Accounting for Gene-Depressive Symptomatology Interactions in 564,680 Individuals from Diverse Populations. Res Sq. 2025 .
Lee S, Miller CL, Bentley AR, Brown MR, Nagarajan P, Noordam R, Morrison J, Schwander K, Westerman K, Kho M, et al. A Large-Scale Genome-wide Association Study of Blood Pressure Accounting for Gene-Depressive Symptomatology Interactions in 564,680 Individuals from Diverse Populations. Res Sq. 2025 .
Lee S, Miller CL, Bentley AR, Brown MR, Nagarajan P, Noordam R, Morrison J, Schwander K, Westerman K, Kho M, et al. A Large-Scale Genome-wide Association Study of Blood Pressure Accounting for Gene-Depressive Symptomatology Interactions in 564,680 Individuals from Diverse Populations. Res Sq. 2025 .

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