genome-wide association data reveal a global map of genetic interactions among protein complexes全基因组关联数据显示全球地图基因蛋白复合物之间的交互.pdfVIP

Genome-Wide Association Data Reveal a Global Map of Genetic Interactions among Protein Complexes 1. 1. ´ ´ 2 2 3,4 Gregory Hannum , Rohith Srivas , Aude Guenole , Haico van Attikum , Nevan J. Krogan , Richard M. Karp5,6, Trey Ideker1,7* 1 Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America, 2 Department of Toxicogenetics, Leiden University Medical Center, Leiden, The Netherlands, 3 Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California, United States of America, 4 California Institute for Quantitative Biosciences, University of California San Francisco, San Francisco, California, United States of America, 5 Department of Electrical Engineering and Computer Science, University of California Berkeley, Berkeley, California, United States of America, 6 California Institute for Quantitative Biosciences, University of California Berkeley, Berkeley, California, United States of America, 7 Department of Medicine, University of California San Diego, La Jolla, California, United States of America Abstract This work demonstrates how gene association studies can be analyzed to map a global landscape of genetic interactions among protein complexes and pathways. Despite the immense potential of gene association studies, they have been challenging to analyze because most traits are complex, involving the combined effect of mutations at many different genes. Due to lack of statistical power, only the strongest single markers are