Author Correction: Comprehensive molecular profiling of multiple myeloma identifies refined copy number and expression subtypes

IF 31.7 1区生物学 Q1 GENETICS & HEREDITY

Nature genetics Pub Date : 2025-06-09 DOI:10.1038/s41588-025-02251-w

Sheri Skerget, Daniel Penaherrera, Ajai Chari, Sundar Jagannath, David S. Siegel, Ravi Vij, Gregory Orloff, Andrzej Jakubowiak, Ruben Niesvizky, Darla Liles, Jesus Berdeja, Moshe Levy, Jeffrey Wolf, Saad Z. Usmani, The MMRF CoMMpass Network, Austin W. Christofferson, Sara Nasser, Jessica L. Aldrich, Christophe Legendre, Brooks Benard, Chase Miller, Bryce Turner, Ahmet Kurdoglu, Megan Washington, Venkata Yellapantula, Jonathan R. Adkins, Lori Cuyugan, Martin Boateng, Adrienne Helland, Shari Kyman, Jackie McDonald, Rebecca Reiman, Kristi Stephenson, Erica Tassone, Alex Blanski, Brianne Livermore, Meghan Kirchhoff, Daniel C. Rohrer, Mattia D’Agostino, Manuela Gambella, Kimberly Collison, Jennifer Stumph, Pam Kidd, Andrea Donnelly, Barbara Zaugg, Maureen Toone, Kyle McBride, Mary DeRome, Jennifer Rogers, David Craig, Winnie S. Liang, Norma C. Gutierrez, Scott D. Jewell, John Carpten, Kenneth C. Anderson, Hearn Jay Cho, Daniel Auclair, Sagar Lonial, Jonathan J. Keats

引用次数: 0

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作者更正：多发性骨髓瘤的综合分子谱确定了精确的拷贝数和表达亚型

更正：Nature Genetics https://doi.org/10.1038/s41588-024-01853-0，于2024年8月19日在线发布。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature genetics 生物-遗传学

CiteScore

43.00

自引率

2.60%

发文量

241

审稿时长

3 months

期刊介绍： Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution