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  • Whole-genome sequencing of an advanced case of small-cell gallbladder neuroendocrine carcinoma
    Maolan Li, Fatao Liu, Yijian Zhang, Xiangsong Wu, Wenguang Wu, Xu-An Wang, Shuai Zhao, Shibo Liu, Haibin Liang, Fei Zhang, Yuan Gao, Shanshan Xiang, Huaifeng Li, Wei Lu, Hao Weng, Jiasheng Mu, Yijun Shu, Runfa Bao, Lin Jiang, Yunping Hu, Wei Gong, Yun Zhang, Tieliang Ma, Kai Zhang, Yun Liu, Yingbin Liu
    bioRxiv 052316; doi: https://doi.org/10.1101/052316
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  • Detection of human adaptation during the past 2,000 years
    Yair Field, Evan A Boyle, Natalie Telis, Ziyue Gao, Kyle J. Gaulton, David Golan, Loic Yengo, Ghislain Rocheleau, Philippe Froguel, Mark I. McCarthy, Jonathan K. Pritchard
    bioRxiv 052084; doi: https://doi.org/10.1101/052084
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  • QTL mapping reveals complex genetic architecture of quantitative virulence in the wheat pathogen Zymoseptoria tritici
    E. L. Stewart, D. Croll, M. H. Lendenmann, A. Sanchez Vallet, F. E. Hartmann, J Palma Guerrero, Z. Ma, B. A. McDonald
    bioRxiv 051169; doi: https://doi.org/10.1101/051169
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  • Pathway and network-based strategies to translate genetic discoveries into effective therapies
    Casey S. Greene, Benjamin F. Voight
    bioRxiv 051524; doi: https://doi.org/10.1101/051524 Confirmatory Results
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  • Spatially Explicit Models to Investigate Geographic Patterns in the Distribution of Forensic STRs
    Francesco Messina, Andrea Finocchio, Nejat Akar, Aphrodite Loutradis, Emmanuel I. Michalodimitrakis, Radim Brdicka, Carla Jodice, Andrea Novelletto
    bioRxiv 051375; doi: https://doi.org/10.1101/051375
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  • Transcriptome Analysis Reveals Skin Lipid Metabolism Related to Wool Diameter in Sheep
    Shaoyin Fu, YunXia Qi, Xiaolong He, Lai Da, biao Wang, rigele Te, jianghong Wu, ding Yang, yongbin Liu, wengguang Zhang
    bioRxiv 051359; doi: https://doi.org/10.1101/051359
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  • The genetic basis of natural variation in C. elegans telomere length
    D.C. Cook, S. Zdraljevic, R.E. Tanny, B. Seo, D.D. Riccardi, L.M. Noble, M.V. Rockman, M.J. Alkema, C. Braendle, J.E. Kammenga, J. Wang, L. Kruglyak, M.A. Félix, J. Lee, E.C. Andersen
    bioRxiv 051276; doi: https://doi.org/10.1101/051276
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  • Mega-analysis of 31,396 individuals from 6 countries uncovers strong gene-environment interaction for human fertility
    Felix C. Tropf, Renske M. Verweij, Peter J. van der Most, Gert Stulp, Andrew Bakshi, Daniel A. Briley, Matthew Robinson, Anastasia Numan, Tõnu Esko, Andres Metspalu, Sarah E. Medland, Nicholas G. Martin, Harold Snieder, S. Hong Lee, Melinda C. Mills
    bioRxiv 049163; doi: https://doi.org/10.1101/049163
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  • An Ancestry Based Approach for Detecting Interactions
    Danny S. Park, Itamar Eskin, Eun Yong Kang, Eric R. Gamazon, Celeste Eng, Christopher R. Gignoux, Joshua M. Galanter, Esteban Burchard, Chun J. Ye, Hugues Aschard, Eleazar Eskin, Eran Halperin, Noah Zaitlen
    bioRxiv 036640; doi: https://doi.org/10.1101/036640
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  • A Powerful Procedure for Pathway-based Meta-Analysis Using Summary Statistics Identifies 43 Pathways Associated with Type II Diabetes in European Populations
    Han Zhang, William Wheeler, Paula L Hyland, Yifan Yang, Jianxin Shi, Nilanjan Chatterjee, Kai Yu
    bioRxiv 041244; doi: https://doi.org/10.1101/041244
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