日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Integrating natural and engineered genetic variations to decode regulatory influence on blood traits.

整合天然和人工基因变异,以解码对血液性状的调控影响。

Tardaguila Manuel, Von Schiller Dominique, Colombo Michela, Gori Ilaria, Coomber Eve L, Vanderstichele Thomas, Benaglio Paola, Chiereghin Chiara, Gerety Sebastian, Vuckovic Dragana, Landini Arianna, Clerici Giuditta, Casiraghi Aurora, Albers Patrick, Ray-Jones Helen, Burnham Katie L, Tokolyi Alex, Persyn Elodie, Spivakov Mikhail, Sankaran Vijay G, Walter Klaudia, Kundu Kousik, Pirastu Nicola, Inouye Michael, Paul Dirk S, Davenport Emma E, Sahlén Pelin, Watt Stephen, Soranzo Nicole

Value of Multiomics Over Clinical Risk Factors in Hypertension Prediction

多组学在预测高血压方面优于临床危险因素的价值

Vuori, Matti; Ruuskanen, Matti O; Jousilahti, Pekka; Salomaa, Veikko; Yeo, Li-Fang; Kauko, Anni; Vaura, Felix; Havulinna, Aki; Liu, Yang; Méric, Guillaume; Inouye, Michael; Knight, Rob; Lahti, Leo; Niiranen, Teemu

Pharmacogenomic predictors of drug response and choice in dyslipidemia and hypertension

血脂异常和高血压药物反应和选择的药物基因组学预测因子

Takeuchi, Fumihiko; Dona, Malathi S I; Ho, William W H; Lambert, Samuel A; Inouye, Michael; Kato, Norihiro

Genome-wide association testing beyond SNPs

超越SNP的全基因组关联检测

Harris, Laura; McDonagh, Ellen M; Zhang, Xiaolei; Fawcett, Katherine; Foreman, Amy; Daneck, Petr; Sergouniotis, Panagiotis I; Parkinson, Helen; Mazzarotto, Francesco; Inouye, Michael; Hollox, Edward J; Birney, Ewan; Fitzgerald, Tomas

Clinical utility and implementation of polygenic risk scores for predicting cardiovascular disease: A clinical consensus statement of the ESC Council on Cardiovascular Genomics, the ESC Cardiovascular Risk Collaboration, and the European Association of Preventive Cardiology

多基因风险评分在预测心血管疾病中的临床应用及实施:欧洲心脏病学会心血管基因组学委员会、欧洲心脏病学会心血管风险协作组和欧洲预防心脏病学会的临床共识声明

Schunkert, Heribert; Di Angelantonio, Emanuele; Inouye, Michael; Patel, Riyaz S; Ripatti, Samuli; Widen, Elisabeth; Sanderson, Saskia C; Kaski, Juan Pablo; McEvoy, John W; Vardas, Panos; Wood, Angela; Aboyans, Victor; Vassiliou, Vassilios S; Visseren, Frank L J; Lopes, Luis R; Elliott, Perry; Kavousi, Maryam

Combined clinical, metabolomic, and polygenic scores for cardiovascular risk prediction

结合临床、代谢组学和多基因评分预测心血管风险

Ritchie, Scott C; Jiang, Xilin; Pennells, Lisa; Xu, Yu; Coffey, Claire; Liu, Yang; Gibson, Joel T; Surendran, Praveen; Karthikeyan, Savita; Lambert, Samuel A; Danesh, John; Butterworth, Adam S; Wood, Angela; Kaptoge, Stephen; Di Angelantonio, Emanuele; Inouye, Michael

The contribution of genetic determinants of blood gene expression and splicing to molecular phenotypes and health outcomes

血液基因表达和剪接的遗传决定因素对分子表型和健康结果的影响

Tokolyi, Alex; Persyn, Elodie; Nath, Artika P; Burnham, Katie L; Marten, Jonathan; Vanderstichele, Thomas; Tardaguila, Manuel; Stacey, David; Farr, Ben; Iyer, Vivek; Jiang, Xilin; Lambert, Samuel A; Noell, Guillaume; Quail, Michael A; Rajan, Diana; Ritchie, Scott C; Sun, Benjamin B; Thurston, Scott A J; Xu, Yu; Whelan, Christopher D; Runz, Heiko; Petrovski, Slavé; Gaffney, Daniel J; Roberts, David J; Di Angelantonio, Emanuele; Peters, James E; Soranzo, Nicole; Danesh, John; Butterworth, Adam S; Inouye, Michael; Davenport, Emma E; Paul, Dirk S

Genome-wide analyses of variance in blood cell phenotypes provide new insights into complex trait biology and prediction

对血细胞表型变异进行全基因组分析,为复杂性状生物学和预测提供了新的见解

Xiang, Ruidong; Ben-Eghan, Chief; Liu, Yang; Roberts, David; Ritchie, Scott; Lambert, Samuel A; Xu, Yu; Takeuchi, Fumihiko; Inouye, Michael

Identification of plasma proteomic markers underlying polygenic risk of type 2 diabetes and related comorbidities

鉴定与2型糖尿病及其相关合并症的多基因风险相关的血浆蛋白质组学标志物

Loesch, Douglas P; Garg, Manik; Matelska, Dorota; Vitsios, Dimitrios; Jiang, Xiao; Ritchie, Scott C; Sun, Benjamin B; Runz, Heiko; Whelan, Christopher D; Holman, Rury R; Mentz, Robert J; Moura, Filipe A; Wiviott, Stephen D; Sabatine, Marc S; Udler, Miriam S; Gause-Nilsson, Ingrid A; Petrovski, Slavé; Oscarsson, Jan; Nag, Abhishek; Paul, Dirk S; Inouye, Michael

Performance of deep-learning-based approaches to improve polygenic scores

基于深度学习的方法在提高多基因评分方面的性能

Kelemen, Martin; Xu, Yu; Jiang, Tao; Zhao, Jing Hua; Anderson, Carl A; Wallace, Chris; Butterworth, Adam; Inouye, Michael