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Xihong Lin
Researcher at Harvard University
Publications - 389
Citations - 32083
Xihong Lin is an academic researcher from Harvard University. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 76, co-authored 361 publications receiving 26162 citations. Previous affiliations of Xihong Lin include Texas A&M University & University of Washington.
Papers
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Journal Article
Quantifying pql bias in estimating cluster-level covariate effects in generalized linear mixed models for group-randomized trials
TL;DR: In this article, the asymptotic bias and variance of the penalized quasilike-lihood (PQL) estimator of the cluster-level covariate eect in generalized linear mixed models for group-randomized trials where the number of clusters n is small and the cluster size m is large were derived.
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A population pharmacokinetic model with time-dependent covariates measured with errors.
TL;DR: A population pharmacokinetic (PK) model with time-dependent covariates measured with errors is used to model S-oxybutynin's kinetics following an oral administration of Ditropan, and allows the distribution rate to depend on time- dependent covariates blood pressure and heart rate.
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Quantitative quality-assessment techniques to compare fractionation and depletion methods in SELDI-TOF mass spectrometry experiments
TL;DR: The peaks detected using the unfractionated plasma samples have the highest reproducibility as determined by the reliability ratio, and the use of the Sigma multi-removal kit does not improve peak detection.
Posted ContentDOI
Powerful gene set analysis in GWAS with the Generalized Berk-Jones statistic
TL;DR: The Generalized Berk-Jones (GBJ) statistic is introduced for GSA, a permutation-free parametric framework that offers asymptotic power guarantees in certain set-based testing settings and a GBJ step-down inference technique that can discriminate between gene sets driven to significance by single genes and those demonstrating group-level effects.
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Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer
Jinyoung Byun,Younghun Han,Yafang Li,Junfeng Xie,Erping Long,Jiyeon Choi,Xiangjun Xiao,Meng Zhu,Wen Zhou,Ryan Sun,Yohan Bossé,Zhuoyi Song,Ann G. Schwartz,Christine M. Lusk,Thorunn Rafnar,Kari Stefansson,Tongwu Zhang,Wei Zhao,Rowland W Pettit,Yanhong Liu,Xihao Li,Hufeng Zhou,Kyle M. Walsh,Ivan P. Gorlov,Olga Y. Gorlova,Dakai Zhu,Susan M. Rosenberg,Susan M. Pinney,Joan E. Bailey-Wilson,Diptasri Mandal,Mariza de Andrade,Colette G. Gaba,James C. Willey,Ming You,Marshall W. Anderson,John K. Wiencke,Demetrius Albanes,Stephen Lam,Adonina Tardón,Chu Chen,Gary E. Goodman,Stig Bojeson,Hermann Brenner,Maria Teresa Landi,Stephen J. Chanock,Mattias Johansson,Thomas Muley,Angela Risch,H.-Erich Wichmann,Heike Bickeböller,David C. Christiani,Gad Rennert,Susanne M. Arnold,John K. Field,Sanjay Shete,Loic Le Marchand,Olle Melander,H. Brunnstrom,Geoffrey Liu,Angeline S. Andrew,Lambertus A. Kiemeney,Hongbing Shen,Shanbeh Zienolddiny,Kjell Grankvist,Mikael Johansson,Neil E. Caporaso,Angela Cox,Yun-Chul Hong,Jian-Min Yuan,Philip Lazarus,Matthew B. Schabath,Melinda C. Aldrich,Alpa V. Patel,Qing Lan,Nathaniel Rothman,Fiona Taylor,Linda Kachuri,John S. Witte,Lori C. Sakoda,Margaret R. Spitz,Paul Brennan,Xihong Lin,James McKay,Rayjean J. Hung,Christopher I. Amos +84 more
TL;DR: This paper performed cross-ancestry genome-wide association studies in European, East Asian and African populations to identify new susceptibility loci to lung cancer among diverse populations, and discovered five loci that have not been previously reported.