Lina Yang
Pennsylvania State University
4 Papers
Lina Yang is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Expression quantitative trait loci & Computer science. The author has an hindex of 1, co-authored 2 publications.
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Papers
Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing
Fang Chen,Xing L. Wang,Seon-Kyeong Jang,Bryan C. Quach,J. Dylan Weissenkampen,Chachrit Khunsriraksakul,Lina Yang,Renan Sauteraud,Christine M. Albert,Nicholette Allred,Donna K. Arnett,Allison E. Ashley-Koch,Kathleen C. Barnes,R. Graham Barr,Diane M. Becker,Lawrence F. Bielak,Joshua C. Bis,John Blangero,Meher Preethi Boorgula,Daniel I. Chasman,Sameer Chavan,Yii-Derr Chen,Lee-Ming Chuang,Adolfo Correa,Joanne E. Curran,Sean P. David,Lisa De Las Fuentes,Ranjan Deka,Ravindranath Duggirala,Jessica D. Faul,Melanie E. Garrett,Sina A. Gharib,Xiuqing Guo,Michael Wall,Nicola L. Hawley,Jiang He,Brian D. Hobbs,John E. Hokanson,Chao A. Hsiung,Shih-Jen Hwang,Thomas M. Hyde,Marguerite R. Irvin,Andrew E. Jaffe,Eric O. Johnson,Robert Kaplan,Sharon L.R. Kardia,Joel D. Kaufman,Tanika N. Kelly,Joel E. Kleinman,Charles Kooperberg,I. Lee,Daniel Levy,Sharon M. Lutz,Ani Manichaikul,Lisa W. Martin,Olivia M Marx,Stephen T. McGarvey,Ryan L. Minster,Matthew Moll,Karine A Moussa,Take Naseri,Kari E. North,Elizabeth C. Oelsner,Juan M. Peralta,Patricia A. Peyser,Bruce M. Psaty,Nicholas Rafaels,Laura M. Raffield,Muagututi‘a Sefuiva Reupena,Stephen S. Rich,Jerome I. Rotter,David A. Schwartz,Aladdin H. Shadyab,Wayne H-H Sheu,Mario Sims,Jennifer A. Smith,Xiao Sun,Kent D. Taylor,Marilyn J. Telen,Harold Watson,Daniel E. Weeks,David R. Weir,Lisa R. Yanek,Kendra A. Young,Kristin L. Young,Wei Zhao,Dana B. Hancock,Bibo Jiang,Scott I. Vrieze,Dajiang J. Liu +89 more
TL;DR: The authors integrated an eQTL dataset with a multi-ancestry transcriptome-wide association study (GWAS) to identify 273 new genes, up to 55% more compared with alternative TWAS methods.
Integrating 3D genomic and epigenomic data to enhance target gene discovery and drug repurposing in transcriptome-wide association studies
Chachrit Khunsriraksakul,Daniel McGuire,Renan Sauteraud,Fang Chen,Lina Yang,Lida Wang,Jordan M. Hughey,Scott A. Eckert,J. Dylan Weissenkampen,Ganesh Shenoy,Olivia M Marx,Laura Carrel,Bibo Jiang,Dajiang J. Liu +13 more
TL;DR: PUMICE as mentioned in this paper integrates 3D genomic and epigenomic data with expression quantitative trait loci (eQTL) to more accurately predict gene expressions and identifies 22% more independent novel genes and increases median chi-square statistics values at known loci.
Seqminer2: an efficient tool to query and retrieve genotypes for statistical genetics analyses from biobank scale sequence dataset
TL;DR: A novel variant-based index for querying VCF/BCF files and reimplements support for BGEN and PLINK format, which improves speed over alternative implementations.
1
Model-based assessment of replicability for genome-wide association meta-analysis.
Daniel McGuire,Yu Jiang,Mengzhen Liu,J. Dylan Weissenkampen,Scott Eckert,Lina Yang,Fang Chen,Arthur Berg,Scott I. Vrieze,Bibo Jiang,Qiang Li,Dajiang J. Liu +11 more
TL;DR: In this article, a meta-analysis model-based assessment of replicability (MAMBA) is proposed for assessing the probability of replication of identified associations by leveraging the strength and consistency of association signals between contributing studies.