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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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Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study

TL;DR: In this paper , the role of long non-coding RNAs (lncRNAs) in lipid variability was investigated using large-scale whole genome sequencing (WGS) studies and new statistical methods for variant set tests.
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Whole-Genome Association Analyses of Sleep-disordered Breathing Phenotypes in the NHLBI TOPMed Program

Brian E. Cade, +51 more
- 03 Jun 2019 - 
TL;DR: In this paper, the authors reported the first whole-genome sequence analysis of sleep-disordered breathing (SDB) through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program.
Journal ArticleDOI

Differences in set-based tests for sparse alternatives when testing sets of outcomes compared to sets of explanatory factors in genetic association studies.

Ryan Sun, +2 more
- 24 Aug 2022 - 
TL;DR: This work describes how correlation structures generate marked differences in relative operating characteristics for settings (a) and (b) and develops novel power bounds that facilitate the aforementioned calculations and allow for analysis of individual testing settings.
Posted ContentDOI

AFA: Computationally efficient Ancestral Frequency estimation in Admixed populations: the Hispanic Community Health Study/Study of Latinos

TL;DR: In this paper, the authors developed a computationally efficient method, Ancestral Frequency Estimation in Admixed populations (AFA), to estimate the frequencies of bi-allelic variants in admixed populations with an unlimited number of ancestries.
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Abstract 1184: Impact of individual level uncertainty of lung cancer polygenic risk score on risk stratification and prediction

TL;DR: Wang et al. as mentioned in this paper evaluated the individual-level uncertainty of polygenic risk score (PRS) for individuals and evaluated the potential impacts on subsequent risk stratification and prediction in populations with European ancestry.