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

Bridging GWAS to genes: an integrative multi-omics approach using cattle data

将全基因组关联分析与基因联系起来：一种利用牛数据的整合多组学方法

期刊:BMC Genomics
影响因子:3.7
doi:10.1186/s12864-026-12525-0
Ghoreishifar, Mohammad; Macleod, Iona M; Nguyen, Tuan; Lopdell, Thomas J; Littlejohn, Mathew D; Xiang, Ruidong; Chamberlain, Amanda J; Pryce, Jennie E; Goddard, Michael E
发表日期：2026
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Integrating extensive functional annotations and multiomics of cattle enhances climate resilience prediction and mapping

整合牛的广泛功能注释和多组学数据，可增强气候适应性预测和映射能力。

期刊:Proceedings of the National Academy of Sciences of the United States of America
影响因子:9.1
doi:10.1073/pnas.2514736122
Xiang, Ruidong; Breen, Edmond; Bolormaa, Sunduimijid; Liu, Zhiqian; Vander Jagt, Christy J; Dong, Michael; Lindblad-Toh, Kerstin; Rochfort, Simone; Pryce, Jennie E; Chamberlain, Amanda J; Goddard, Michael E
发表日期：2025
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An integrative approach to prioritize candidate causal genes for complex traits in cattle

一种用于确定牛复杂性状候选致病基因优先级的综合方法

期刊:PLoS Genetics
影响因子:3.7
doi:10.1371/journal.pgen.1011492
Ghoreishifar, Mohammad; Macleod, Iona M; Chamberlain, Amanda J; Liu, Zhiqian; Lopdell, Thomas J; Littlejohn, Mathew D; Xiang, Ruidong; Pryce, Jennie E; Goddard, Michael E
发表日期：2025
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Sequence-based GWAS in 180,000 German Holstein cattle reveals new candidate variants for milk production traits

对18万头德国荷斯坦奶牛进行基于序列的全基因组关联分析，揭示了与产奶性状相关的新候选变异。

期刊:Genetics Selection Evolution
影响因子:3.1
doi:10.1186/s12711-025-00951-9
Križanac, Ana-Marija; Reimer, Christian; Heise, Johannes; Liu, Zengting; Pryce, Jennie E; Bennewitz, Jörn; Thaller, Georg; Falker-Gieske, Clemens; Tetens, Jens
发表日期：2025
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Genome-wide assessment and mapping of inbreeding depression identifies candidate genes associated with semen traits in Holstein bulls

通过全基因组评估和近交衰退定位，鉴定出与荷斯坦公牛精液性状相关的候选基因

期刊:BMC Genomics
影响因子:3.7
doi:10.1186/s12864-023-09298-1
Ghoreishifar, Mohammad; Vahedi, Seyed Milad; Salek Ardestani, Siavash; Khansefid, Majid; Pryce, Jennie E
发表日期：2023
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BayesR3 enables fast MCMC blocked processing for largescale multi-trait genomic prediction and QTN mapping analysis

BayesR3 能够实现快速的 MCMC 分块处理，用于大规模多性状基因组预测和 QTN 定位分析。

期刊:Communications Biology
影响因子:5.1
doi:10.1038/s42003-022-03624-1
Breen, Edmond J; MacLeod, Iona M; Ho, Phuong N; Haile-Mariam, Mekonnen; Pryce, Jennie E; Thomas, Carl D; Daetwyler, Hans D; Goddard, Michael E
发表日期：2022
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Eating Time as a Genetic Indicator of Methane Emissions and Feed Efficiency in Australian Maternal Composite Sheep

采食时间作为澳大利亚母系杂交绵羊甲烷排放和饲料效率的遗传指标

期刊:Frontiers in Genetics
影响因子:2.8
doi:10.3389/fgene.2022.883520
Sepulveda, Boris J; Muir, Stephanie K; Bolormaa, Sunduimijid; Knight, Matthew I; Behrendt, Ralph; MacLeod, Iona M; Pryce, Jennie E; Daetwyler, Hans D
Sheep
发表日期：2022
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Estimating Heritabilities and Breeding Values From Censored Phenotypes Using a Data Augmentation Approach

利用数据增强方法从删失表型估计遗传力和育种值

期刊:Frontiers in Genetics
影响因子:2.8
doi:10.3389/fgene.2022.867152
Stephen, Melissa A; Cheng, Hao; Pryce, Jennie E; Burke, Chris R; Steele, Nicole M; Phyn, Claire V C; Garrick, Dorian J
发表日期：2022
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Improving Genomic Selection for Heat Tolerance in Dairy Cattle: Current Opportunities and Future Directions

提高奶牛耐热性的基因组选择：当前机遇与未来方向

期刊:Frontiers in Genetics
影响因子:2.8
doi:10.3389/fgene.2022.894067
Cheruiyot, Evans K; Haile-Mariam, Mekonnen; Cocks, Benjamin G; Pryce, Jennie E
发表日期：2022
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New loci and neuronal pathways for resilience to heat stress in cattle

牛抵抗热应激的新基因位点和神经通路

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-021-95816-8
Cheruiyot, Evans K; Haile-Mariam, Mekonnen; Cocks, Benjamin G; MacLeod, Iona M; Xiang, Ruidong; Pryce, Jennie E
信号转导
发表日期：2021
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