Publications
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Filters: Keyword is Genome-Wide Association Study and Author is Lin, Xihong [Clear All Filters]
Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies. Nat Genet. 2023 ;55(1):154-164.
. Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study. Am J Hum Genet. 2023 ;110(10):1704-1717.
. A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies. Nat Methods. 2022 ;19(12):1599-1611.
. Whole genome sequence analysis of blood lipid levels in >66,000 individuals. Nat Commun. 2022 ;13(1):5995.
. Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program. Genome Med. 2021 ;13(1):136.
. Allelic Heterogeneity at the CRP Locus Identified by Whole-Genome Sequencing in Multi-ancestry Cohorts. Am J Hum Genet. 2020 ;106(1):112-120.
. . Dynamic Scan Procedure for Detecting Rare-Variant Association Regions in Whole-Genome Sequencing Studies. Am J Hum Genet. 2019 ;104(5):802-814.
. Sequencing Analysis at 8p23 Identifies Multiple Rare Variants in DLC1 Associated with Sleep-Related Oxyhemoglobin Saturation Level. Am J Hum Genet. 2019 ;105(5):1057-1068.
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