<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Article-Journal | Shuang Song | Biostatistics and Statistical Genetics | Harvard | Tsinghua</title><link>https://shuangsong0110.github.io/publication_types/article-journal/</link><atom:link href="https://shuangsong0110.github.io/publication_types/article-journal/index.xml" rel="self" type="application/rss+xml"/><description>Article-Journal</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 27 Feb 2026 00:00:00 +0000</lastBuildDate><image><url>https://shuangsong0110.github.io/media/icon_hu68170e94a17a2a43d6dcb45cf0e8e589_3079_512x512_fill_lanczos_center_3.png</url><title>Article-Journal</title><link>https://shuangsong0110.github.io/publication_types/article-journal/</link></image><item><title>Participation bias in the estimation of heritability and genetic correlation</title><link>https://shuangsong0110.github.io/publication/participation-bias-pnas-2025/</link><pubDate>Wed, 31 Dec 2025 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/participation-bias-pnas-2025/</guid><description/></item><item><title>Partitioning and aggregating cross-tissue and tissue-specific genetic effects to identify gene-trait associations</title><link>https://shuangsong0110.github.io/publication/journal-motif/</link><pubDate>Tue, 09 Jul 2024 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/journal-motif/</guid><description/></item><item><title>Leveraging LD eigenvalue regression to improve the estimation of SNP heritability and confounding inflation</title><link>https://shuangsong0110.github.io/publication/lder-ajhg-2022/</link><pubDate>Fri, 30 Dec 2022 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/lder-ajhg-2022/</guid><description/></item><item><title>A data-adaptive Bayesian regression approach for polygenic risk prediction</title><link>https://shuangsong0110.github.io/publication/bayesian-polygenic-bioinformatics-2022/</link><pubDate>Thu, 29 Dec 2022 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/bayesian-polygenic-bioinformatics-2022/</guid><description/></item><item><title>Openness weighted association studies: leveraging personal genome information to prioritize non-coding variants</title><link>https://shuangsong0110.github.io/publication/owas-bioinformatics-2021/</link><pubDate>Fri, 31 Dec 2021 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/owas-bioinformatics-2021/</guid><description/></item><item><title>Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies</title><link>https://shuangsong0110.github.io/publication/ebprs-ploscb-2020/</link><pubDate>Thu, 31 Dec 2020 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/ebprs-ploscb-2020/</guid><description/></item><item><title>Multi-Cell-Type Openness-Weighted Association Studies for Trait-Associated Genomic Segments Prioritization</title><link>https://shuangsong0110.github.io/publication/owasjoint-genes-2022/</link><pubDate>Sat, 31 Dec 2022 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/owasjoint-genes-2022/</guid><description>&lt;h2 id="cite">CITE&lt;/h2>
&lt;p>Click the &lt;strong>Cite&lt;/strong> button above to export this publication in BibTeX format.&lt;/p></description></item><item><title>A set of efficient methods to generate high-dimensional binary data with specified correlation structures</title><link>https://shuangsong0110.github.io/publication/corbin-american-statistician-2021/</link><pubDate>Thu, 30 Dec 2021 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/corbin-american-statistician-2021/</guid><description/></item><item><title>Law of the Iterated Logarithm and Model Selection Consistency for Independent and Dependent GLMs</title><link>https://shuangsong0110.github.io/publication/lil-glm-front-math-2021/</link><pubDate>Wed, 29 Dec 2021 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/lil-glm-front-math-2021/</guid><description/></item><item><title>The predictive value of the orientation and offset of angle α and angle κ for visual outcomes after trifocal intraocular lens implantation in an Asian cohort</title><link>https://shuangsong0110.github.io/publication/ophthalmology-trifocal-asian-2025/</link><pubDate>Tue, 30 Dec 2025 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/ophthalmology-trifocal-asian-2025/</guid><description/></item><item><title>The Effects of Disease‐Modifying Therapies on Optic Nerve Degeneration in Multiple Sclerosis</title><link>https://shuangsong0110.github.io/publication/ms-optic-nerve-dmt-2025/</link><pubDate>Mon, 29 Dec 2025 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/ms-optic-nerve-dmt-2025/</guid><description/></item><item><title>A robust penalized-regression-based method for multivariable Mendelian randomization using GWAS summary statistics</title><link>https://shuangsong0110.github.io/publication/mvmr-penalized-gwas-2023/</link><pubDate>Sun, 31 Dec 2023 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/mvmr-penalized-gwas-2023/</guid><description/></item><item><title>Cofea: correlation-based feature selection for single-cell chromatin accessibility data</title><link>https://shuangsong0110.github.io/publication/cofea-bib-2024/</link><pubDate>Mon, 30 Dec 2024 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/cofea-bib-2024/</guid><description/></item><item><title>Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding</title><link>https://shuangsong0110.github.io/publication/scatac-bayesian-embedding-2022/</link><pubDate>Wed, 28 Dec 2022 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/scatac-bayesian-embedding-2022/</guid><description/></item><item><title>A novel transcriptional risk score for risk prediction of complex human diseases</title><link>https://shuangsong0110.github.io/publication/transcriptional-risk-score-2021/</link><pubDate>Tue, 28 Dec 2021 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/transcriptional-risk-score-2021/</guid><description/></item><item><title>An unbiased kinship estimation method for genetic data analysis</title><link>https://shuangsong0110.github.io/publication/unbiased-kinship-bmc-2022/</link><pubDate>Tue, 27 Dec 2022 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/unbiased-kinship-bmc-2022/</guid><description/></item><item><title>Blood Glucose Levels Moderate the Associations Between IGF-1 Levels and Choroidal Metrics in Patients With Diabetes With Acromegaly Without Diabetic Retinopathy</title><link>https://shuangsong0110.github.io/publication/igf1-choroidal-diabetes-2024/</link><pubDate>Sun, 29 Dec 2024 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/igf1-choroidal-diabetes-2024/</guid><description/></item><item><title>Reduction of Human Mobility Matters during Early COVID-19 Outbreaks: Evidence from India, Japan and China</title><link>https://shuangsong0110.github.io/publication/covid-mobility-ijerph-2021/</link><pubDate>Sun, 26 Dec 2021 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/covid-mobility-ijerph-2021/</guid><description/></item><item><title>Scalable and accurate rare-variant association tests for whole genome sequencing time-to-event analysis in large biobanks</title><link>https://shuangsong0110.github.io/publication/journal-acml/</link><pubDate>Fri, 27 Feb 2026 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/journal-acml/</guid><description>&lt;h2 id="significance">Significance&lt;/h2>
&lt;p>Rare variants (RV) identified through whole genome sequencing hold great promise for elucidating the genetic basis of disease onset, but existing methods for RV association testing are not well suited for time-to-event phenotypes. Here, we develop GATE-STAAR, a scalable and accurate framework integrating frailty modeling with functional annotations. We propose a rare-variant saddlepoint approximation to handle heavy censoring. Through comprehensive simulations and large-scale analysis of approximately 400 K UK Biobank participants, with replication in approximately 230 K All of Us participants, GATE-STAAR uncovers biologically meaningful RV associations while ensuring rigorous control of type I error. This framework is powerful to dissect the genetic architecture of disease onset and progression and advance precision medicine.&lt;/p></description></item><item><title>Scalable and accurate rare variant association tests for whole genome sequencing time-to-event analysis in large biobanks</title><link>https://shuangsong0110.github.io/publication/scalable-rare-variant-pnas-2026/</link><pubDate>Thu, 15 Jan 2026 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/scalable-rare-variant-pnas-2026/</guid><description/></item><item><title>Participation bias in the estimation of heritability and genetic correlation</title><link>https://shuangsong0110.github.io/publication/journal-article-llm-review-1/</link><pubDate>Tue, 24 Jun 2025 00:00:00 +0000</pubDate><guid>https://shuangsong0110.github.io/publication/journal-article-llm-review-1/</guid><description>&lt;!-- > [!NOTE]
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