Copy number variants as modifiers of breast cancer risk for BRCA1/BRCA2 pathogenic variant carriers

Autor: Christopher Hakkaart, John F. Pearson, Louise Marquart, Joe Dennis, George A. R. Wiggins, Daniel R. Barnes, Bridget A. Robinson, Peter D. Mace, Kristiina Aittomäki, Irene L. Andrulis, Banu K. Arun, Jacopo Azzollini, Judith Balmaña, Rosa B. Barkardottir, Sami Belhadj, Lieke Berger, Marinus J. Blok, Susanne E. Boonen, Julika Borde, Angela R. Bradbury, Joan Brunet, Saundra S. Buys, Maria A. Caligo, Ian Campbell, Wendy K. Chung, Kathleen B. M. Claes, GEMO Study Collaborators, EMBRACE Collaborators, Marie-Agnès Collonge-Rame, Jackie Cook, Casey Cosgrove, Fergus J. Couch, Mary B. Daly, Sita Dandiker, Rosemarie Davidson, Miguel de la Hoya, Robin de Putter, Capucine Delnatte, Mallika Dhawan, Orland Diez, Yuan Chun Ding, Susan M. Domchek, Alan Donaldson, Jacqueline Eason, Douglas F. Easton, Hans Ehrencrona, Christoph Engel, D. Gareth Evans, Ulrike Faust, Lidia Feliubadaló, Florentia Fostira, Eitan Friedman, Megan Frone, Debra Frost, Judy Garber, Simon A. Gayther, Andrea Gehrig, Paul Gesta, Andrew K. Godwin, David E. Goldgar, Mark H. Greene, Eric Hahnen, Christopher R. Hake, Ute Hamann, Thomas V. O. Hansen, Jan Hauke, Julia Hentschel, Natalie Herold, Ellen Honisch, Peter J. Hulick, Evgeny N. Imyanitov, SWE-BRCA Investigators, kConFab Investigators, HEBON Investigators, Claudine Isaacs, Louise Izatt, Angel Izquierdo, Anna Jakubowska, Paul A. James, Ramunas Janavicius, Esther M. John, Vijai Joseph, Beth Y. Karlan, Zoe Kemp, Judy Kirk, Irene Konstantopoulou, Marco Koudijs, Ava Kwong, Yael Laitman, Fiona Lalloo, Christine Lasset, Charlotte Lautrup, Conxi Lazaro, Clémentine Legrand, Goska Leslie, Fabienne Lesueur, Phuong L. Mai, Siranoush Manoukian, Véronique Mari, John W. M. Martens, Lesley McGuffog, Noura Mebirouk, Alfons Meindl, Austin Miller, Marco Montagna, Lidia Moserle, Emmanuelle Mouret-Fourme, Hannah Musgrave, Sophie Nambot, Katherine L. Nathanson, Susan L. Neuhausen, Heli Nevanlinna, Joanne Ngeow Yuen Yie, Tu Nguyen-Dumont, Liene Nikitina-Zake, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Ana Osorio, Claus-Eric Ott, Sue K. Park, Michael T. Parsons, Inge Sokilde Pedersen, Ana Peixoto, Pedro Perez-Segura, Paolo Peterlongo, Timea Pocza, Paolo Radice, Juliane Ramser, Johanna Rantala, Gustavo C. Rodriguez, Karina Rønlund, Efraim H. Rosenberg, Maria Rossing, Rita K. Schmutzler, Payal D. Shah, Saba Sharif, Priyanka Sharma, Lucy E. Side, Jacques Simard, Christian F. Singer, Katie Snape, Doris Steinemann, Dominique Stoppa-Lyonnet, Christian Sutter, Yen Yen Tan, Manuel R. Teixeira, Soo Hwang Teo, Mads Thomassen, Darcy L. Thull, Marc Tischkowitz, Amanda E. Toland, Alison H. Trainer, Vishakha Tripathi, Nadine Tung, Klaartje van Engelen, Elizabeth J. van Rensburg, Ana Vega, Alessandra Viel, Lisa Walker, Jeffrey N. Weitzel, Marike R. Wevers, Georgia Chenevix-Trench, Amanda B. Spurdle, Antonis C. Antoniou, Logan C. Walker

Publikováno v: Communications Biology, Vol 5, Iss 1, Pp 1-15 (2022)

The risk of germline copy number variants (CNVs) in BRCA1 and BRCA2 pathogenic variant carriers in breast cancer is assessed, with CNVs overlapping SULT1A1 decreasing breast cancer risk in BRCA1 carriers.

Externí odkaz: https://doaj.org/article/2008d12983b5437282b0bdff8c8a6bb0

Optimization of Ultrasound-Assisted Extraction of Vitamin C from Capsella Bursa-pastoris by Response Surface Methodology

Autor: WU Hai-yan, SHI Xiao-ling, YUAN Qiu-mei, CHEN Jian-jun, YUAN Chun-xin

Publikováno v: Liang you shipin ke-ji, Vol 30, Iss 4, Pp 143-149 (2022)

The optimum ultrasound-assisted extraction parameters of Vitamin C from Capsella bursa-pastoris was studied by Response Surface Methodology. The main factors of the extraction were selected by the Confounded Fractional Factorial test. The extraction

Externí odkaz: https://doaj.org/article/e1652740adde48ffa2e9260aeb484f21

Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment

Autor: Li, Yanshi, Xiong, Shaopan, Chen, Gengru, Li, Xiaoyang, Luo, Yijia, Zhang, Xingyao, Huang, Yanhui, Bu, Xingyuan, Tan, Yingshui, Yuan, Chun, Wang, Jiamang, Su, Wenbo, Zheng, Bo

Reinforcement Learning from Human Feedback (RLHF) has proven highly effective in aligning Large Language Models (LLMs) with human preferences. However, the original RLHF typically optimizes under an overall reward, which can lead to a suboptimal lear

Externí odkaz: http://arxiv.org/abs/2411.00809

FlatQuant: Flatness Matters for LLM Quantization

Autor: Sun, Yuxuan, Liu, Ruikang, Bai, Haoli, Bao, Han, Zhao, Kang, Li, Yuening, Hu, Jiaxin, Yu, Xianzhi, Hou, Lu, Yuan, Chun, Jiang, Xin, Liu, Wulong, Yao, Jun

Recently, quantization has been widely used for the compression and acceleration of large language models~(LLMs). Due to the outliers in LLMs, it is crucial to flatten weights and activations to minimize quantization error with the equally spaced qua

Externí odkaz: http://arxiv.org/abs/2410.09426

TextureDiffusion: Target Prompt Disentangled Editing for Various Texture Transfer

Autor: Su, Zihan, Zhuang, Junhao, Yuan, Chun

Recently, text-guided image editing has achieved significant success. However, existing methods can only apply simple textures like wood or gold when changing the texture of an object. Complex textures such as cloud or fire pose a challenge. This lim

Externí odkaz: http://arxiv.org/abs/2409.09610