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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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Genome-wide association and network analysis of lung function in the Framingham Heart Study.

TL;DR: A cellular network is built to explore the relationship between pulmonary function and genotypes by combining SNP level and network analyses using longitudinal lung function data from the Framingham Heart Study to identify novel genes that were not found previously using solely SNP‐level analysis.
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Estimation in semiparametric transition measurement error models for longitudinal data.

TL;DR: An estimating equation approach based on the pseudo conditional score method is proposed, and it is shown the resulting estimators of the regression coefficients are consistent and asymptotically normal.
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Sequencing Analysis at 8p23 Identifies Multiple Rare Variants in DLC1 Associated with Sleep-Related Oxyhemoglobin Saturation Level

Jingjing Liang, +55 more
TL;DR: Mendelian randomization analysis using six coding and 51 noncoding variants in a gene that encodes the GTPase-activating protein (DLC1) are significantly associated with AvSpO2S and replicated in independent subjects indicates a significant causal effect of DLC1 expression in fibroblasts on AvSp O2S.
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Testing for gene-environment interaction under exposure misspecification.

TL;DR: This work examines the asymptotic bias of the GxE interaction regression coefficient, allowing for confounders as well as arbitrary misspecification of the exposure and confounder effects, and shows that the regression coefficient is generally biased if the genetic factor is associated with the outcome directly or indirectly.
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Novel structural co-expression analysis linking the NPM1-associated ribosomal biogenesis network to chronic myelogenous leukemia

TL;DR: A structural strategy to identify co-expressed gene networks that are important for chronic myelogenous leukemia was developed, and a transcriptome-wide reduction of co-expression connectivity in CML was found, reflecting potentially loosened molecular regulation.