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2023

Armstrong ND, Srinivasasainagendra V, Ammous F, Assimes TL, Beitelshees AL, Brody J, Cade BE, Chen Y-DIda, Chen H, de Vries PS, et al. Whole genome sequence analysis of apparent treatment resistant hypertension status in participants from the Trans-Omics for Precision Medicine program. Front Genet. 2023 ;14:1278215.

Zhang X, Brody JA, Graff M, Highland HM, Chami N, Xu H, Wang Z, Ferrier K, Chittoor G, Josyula NS, et al. WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE. medRxiv. 2023 .

2024

Mack TM, Raddatz MA, Pershad Y, Nachun DC, Taylor KD, Guo X, Shuldiner AR, O'Connell JR, Kenny EE, Loos RJF, et al. Epigenetic and proteomic signatures associate with clonal hematopoiesis expansion rate. Nat Aging. 2024 .

Suzuki K, Hatzikotoulas K, Southam L, Taylor HJ, Yin X, Lorenz KM, Mandla R, Huerta-Chagoya A, Melloni GEM, Kanoni S, et al. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. Nature. 2024 .

Keaton JM, Kamali Z, Xie T, Vaez A, Williams A, Goleva SB, Ani A, Evangelou E, Hellwege JN, Yengo L, et al. Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits. Nat Genet. 2024 .

Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchell BD, Psaty BM, et al. Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores. Sci Rep. 2024 ;14(1):12436.

Lundin JI, Peters U, Hu Y, Ammous F, Avery CL, Benjamin EJ, Bis JC, Brody JA, Carlson C, Cushman M, et al. Methylation patterns associated with C-reactive protein in racially and ethnically diverse populations. Epigenetics. 2024 ;19(1):2333668.

Rocheleau G, Clarke SL, Auguste G, Hasbani NR, Morrison AC, Heath AS, Bielak LF, Iyer KR, Young EP, Stitziel NO, et al. Rare variant contribution to the heritability of coronary artery disease. Nat Commun. 2024 ;15(1):8741.

Kwak SHeon, Hernandez-Cancela RB, DiCorpo DA, Condon DE, Merino J, Wu P, Brody JA, Yao J, Guo X, Ahmadizar F, et al. Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People With Type 2 Diabetes. Diabetes Care. 2024 .

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.

Roselli C, Surakka I, Olesen MS, Sveinbjornsson G, Marston NA, Choi SHoan, Holm H, Chaffin M, Gudbjartsson D, Hill MC, et al. Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases. Nat Genet. 2025 ;57(3):539-547.

Georgakis MK, Malik R, Bounkari OEl, Hasbani NR, Li J, Huffman JE, Shakt G, Tack RWP, Kimball TN, Asare Y, et al. Rare damaging CCR2 variants are associated with lower lifetime cardiovascular risk. Genome Med. 2025 ;17(1):27.

Choi SHoan, Jurgens SJ, Xiao L, Hill MC, Haggerty CM, Sveinbjörnsson G, Morrill VN, Marston NA, Weng L-C, Pirruccello JP, et al. Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk. Nat Genet. 2025 ;57(3):548-562.

Li X, Chen H, Selvaraj MSunitha, Van Buren E, Zhou H, Wang Y, Sun R, McCaw ZR, Yu Z, Jiang M-Z, et al. A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. Nat Comput Sci. 2025 ;5(2):125-143.

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