You are here

Biblio

Search

Show only items where

Author

Type

Term

Year

Keyword

Export 3381 results:

Author Title Type [ Year

]

Filters: First Letter Of Last Name is W [Clear All Filters]

2025

Yao Z, Tasdighi E, Dardari ZA, Jha KK, Osuji N, Rajan T, Boakye E, Rodriguez CJ, Matsushita K, Simonsick EM, et al. Association Between Cigarette Smoking and Subclinical Markers of Cardiovascular Harm. J Am Coll Cardiol. 2025 ;85(10):1018-1034.

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 .

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.

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.

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.

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.

Witonsky K, Zhu X, Rosso AL, Newman A, Rosano C. Joint Pain and Leisure-Time Physical Activity: Cross-Sectional Findings From the Cardiovascular Health Study. Health Sci Rep. 2025 ;8(2):e70367.

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 .

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 .

Nagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, et al. A large-scale genome-wide study of gene-sleep duration interactions for blood pressure in 811,405 individuals from diverse populations. Mol Psychiatry. 2025 .

Pages