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Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits.
Sun D, Richard M, Musani SK, Sung YJ, Winkler TW, Schwander K, Chai JF, Guo X, Kilpeläinen TO, Vojinovic D, Aschard H, Bartz TM, Bielak LF, Brown MR, Chitrala K, Hartwig FP, Horimoto ARVR, Liu Y, Manning AK, Noordam R, Smith AV, Harris SE, Kühnel B, Lyytikäinen LP, Nolte IM, Rauramaa R, van der Most PJ, Wang R, Ware EB, Weiss S, Wen W, Yanek LR, Arking DE, Arnett DK, Barac A, Boerwinkle E, Broeckel U, Chakravarti A, Chen YI, Cupples LA, Davigulus ML, de Las Fuentes L, de Mutsert R, de Vries PS, Delaney JAC, Roux AVD, Dörr M, Faul JD, Fretts AM, Gallo LC, Grabe HJ, Gu CC, Harris TB, Hartman CCA, Heikkinen S, Ikram MA, Isasi C, Johnson WC, Jonas JB, Kaplan RC, Komulainen P, Krieger JE, Levy D; Lifelines Cohort Study; Liu J, Lohman K, Luik AI, Martin LW, Meitinger T, Milaneschi Y, O'Connell JR, Palmas WR, Peters A, Peyser PA, Pulkki-Råback L, Raffel LJ, Reiner AP, Rice K, Robinson JG, Rosendaal FR, Schmidt CO, Schreiner PJ, Schwettmann L, Shikany JM, Shu XO, Sidney S, Sims M, Smith JA, Sotoodehnia N, Strauch K, Tai ES, Taylor K, Uitterlinden AG, van Duijn CM, Waldenberger M, Wee HL, Wei WB, Wilson G, Xuan D, Yao J, Zeng D, Zhao W, Zhu X, Zonderman AB, Becker DM, Deary IJ, Gieg… See abstract for full author list ➔ Sun D, et al. Among authors: wang yx, wang r. HGG Adv. 2021 Jan 14;2(1):100013. doi: 10.1016/j.xhgg.2020.100013. Epub 2020 Oct 31. HGG Adv. 2021. PMID: 34734193 Free PMC article.
Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries.
Zheng Z, Liu S, Sidorenko J, Wang Y, Lin T, Yengo L, Turley P, Ani A, Wang R, Nolte IM, Snieder H; LifeLines Cohort Study; Yang J, Wray NR, Goddard ME, Visscher PM, Zeng J. Zheng Z, et al. Among authors: wang y, wang r. Nat Genet. 2024 May;56(5):767-777. doi: 10.1038/s41588-024-01704-y. Epub 2024 Apr 30. Nat Genet. 2024. PMID: 38689000 Free PMC article.
Corrigendum: Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanoma.
Chi H, Peng G, Yang J, Zhang J, Song G, Xie X, Strohmer DF, Lai G, Zhao S, Wang R, Yang F, Tian G. Chi H, et al. Among authors: wang r. Front Endocrinol (Lausanne). 2024 May 9;15:1421538. doi: 10.3389/fendo.2024.1421538. eCollection 2024. Front Endocrinol (Lausanne). 2024. PMID: 38784067 Free PMC article.
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