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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.
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Unraveling US National COVID-19 Racial/Ethnic Disparities using County Level Data Among 328 Million Americans
Daniel Li,Daniel Li,Sheila M. Gaynor,Corbin Quick,Jarvis T. Chen,Briana J.K. Stephenson,Brent A. Coull,Xihong Lin,Xihong Lin +8 more
TL;DR: In this article, the extent to which observed US COVID-19 racial and ethnic disparities can be explained by socioeconomic factors that influence how people live, work, and play, and pre-existing comorbidities.
Journal ArticleDOI
Use of generalized linear mixed models in analyzing mutant frequency data from the transgenic mouse assay.
TL;DR: A generalized linear mixed model is used to analyze the overdispersed binomial data on mutant frequency from the transgenic mouse assay, with a random effect for each level of the sampling hierarchy, to create a comprehensive framework within which different sources of variation in the data can be evaluated in nested factorial experiments and treatment effects can be assessed simultaneously.
Journal ArticleDOI
RAFFI: Accurate and fast familial relationship inference in large scale biobank studies using RaPID
TL;DR: RAFFI as mentioned in this paper leverages the efficient RaPID method to call IBD segments first, then estimate the ϕ and π0 from detected IBD segment, which is achieved by a data-driven approach that adjusts the estimation based on phasing quality and genotyping quality.
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Structural inference in transition measurement error models for longitudinal data.
TL;DR: A structural modeling approach for parameter estimation using the maximum likelihood estimation method and an EM algorithm is developed to calculate maximum likelihood estimators, in which Monte Carlo simulations are used to evaluate the conditional expectations in the E-step.
Journal ArticleDOI
Genome-wide association study of neck circumference identifies sex-specific loci independent of generalized adiposity
Yaowu Liu,Xiaoyu Zhang,Jiwon Lee,Diane T. Smelser,Brian E. Cade,Brian E. Cade,Han Chen,Hufeng Zhou,H. Lester Kirchner,Xihong Lin,Sutapa Mukherjee,David R. Hillman,Ching-Ti Liu,Susan Redline,Susan Redline,Tamar Sofer,Tamar Sofer +16 more
TL;DR: In this paper, the authors conducted a multi-ethnic genome-wide association study of neck circumference, adjusted and unadjusted for BMI, in up to 15,090 European Ancestry (EA) and African American (AA) individuals.