Publications
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Filters: Keyword is Genome-Wide Association Study and Author is Chen, Han [Clear All Filters]
Investigating Gene-Diet Interactions Impacting the Association Between Macronutrient Intake and Glycemic Traits. Diabetes. 2023 ;72(5):653-665.
. Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies. Nat Genet. 2023 ;55(1):154-164.
. A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies. Nat Methods. 2022 ;19(12):1599-1611.
. Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure. Mol Psychiatry. 2021 ;26(11):6293-6304.
. Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program. Genome Med. 2021 ;13(1):136.
. Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale. Nat Genet. 2020 ;52(9):969-983.
. Role of Rare and Low-Frequency Variants in Gene-Alcohol Interactions on Plasma Lipid Levels. Circ Genom Precis Med. 2020 ;13(4):e002772.
. 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.
. An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans. Diabetes. 2017 ;66(11):2888-2902.
. Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci. Nat Genet. 2015 ;47(12):1415-25.
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