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authorId(s): 2241548119
Author(s): Xihong Lin
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705
Rare-variant association testing for sequencing data with the sequence kernel association test.
Michael C. Wu
,
Seunggeun Lee
, ...,
Xihong Lin
2011
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165
Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole genome sequencing studies at scale
Xihao Li
,
Zilin Li
, ...,
Xihong Lin
2020
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8
Group testing via hypergraph factorization applied to COVID-19
D. Hong
,
Rounak Dey
, ...,
Edgar Dobriban
2022
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6
Deciphering the impact of genomic variation on function.
J. Engreitz
,
Heather A. Lawson
, ...,
Meenakshi S. Kagda
2024
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6
Accurate and efficient estimation of local heritability using summary statistics and the linkage disequilibrium matrix
Hui Li
,
Rahul Mazumder
,
Xihong Lin
2023
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6
Whole genome association testing in 333,100 individuals across three biobanks identifies rare non-coding single variant and genomic aggregate associations with height
G. Hawkes
,
R. Beaumont
, ...,
M. Weedon
2023
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3
A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies
Xihao Li
,
Han Chen
, ...,
Xihong Lin
2023
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3
STAARpipeline: an all-in-one rare-variant tool for biobank-scale whole-genome sequencing data
Xihong Lin
,
Zilin Li
,
Harvard T.H. Chan
2022
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2
Synthetic surrogates improve power for genome-wide association studies of partially missing phenotypes in population biobanks.
Z. McCaw
,
Jianhui Gao
, ...,
Jessica L. Gronsbell
2024
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2
Type 2 Diabetes Modifies the Association of CAD Genomic Risk Variants With Subclinical Atherosclerosis
Natalie R. Hasbani
,
Kenneth E. Westerman
, ...,
P. D. de Vries
2023
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