Introduction
I am a Postdoctoral researcher in the Department of Biostatistics at Boston University School of Public Health. My research interests include applying multi-omics data in genomic prediction and the development of new software.
I am always eager to learn and try new things!
Interests
- Programing(R , Julia, C++…)
- Quantitative Genetics
- Population Genetics
- ……
Education
PhD student in Quantitative Genetics of Animal Breeding, 2016-2023
Huazhong Agricultural University, China
BSc in Animal Science, 2012-2016
Huazhong Agricultural University, China
Skills
R
Master
Julia
Master
C++
Master
Linux
Master
Statistics
Familiar
Quantitative Genetics
Major
Recent Publications
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(2024).
Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation–maximization maximum likelihood and increase of relationships.
Genetics Selection Evolution, 56(35).
(2024).
Redefining and interpreting genomic relationships of metafounders.
Genetics Selection Evolution, 56(34).
(2024).
Identifying BMI-associated genes via a genome-wide multi-omics integrative approach using summary data.
Human Molecular Genetics, 33(8).
(2023).
Integrated analysis of genome-wide association studies and 3D epigenomic characteristics reveal the BMP2 gene regulating loin muscle depth in Yorkshire pigs.
PLoS Genetics, 19(e1010820).
(2023).
Genomic evaluation for two-way crossbred performance in cattle.
Genetics Selection Evolution, 1(55).
(2022).
Impacts of additive, dominance, and inbreeding depression effects on genomic evaluation by combining two SNP chips in Canadian Yorkshire pigs bred in China.
Genetics Selection Evolution, 1(54).
(2022).
Genomic evaluation and genome-wide association studies for total number of teats in a combined American and Danish Yorkshire pig populations selected in China.
Journal of Animal Science, 7(100).
(2021).
blupADC - An R package and shiny toolkit for comprehensive genetic data analysis in animal and plant breeding.
bioRxiv.
(2021).
Identification of new semen trait-related candidate genes in Duroc boars through genome-wide association and weighted gene co-expression network analyses.
Journal of Animal Science, 7(99).
(2021).
Genome-wide association and transcriptome studies identify candidate genes and pathways for feed conversion ratio in pigs.
BMC Genomics, 1(22).
(2019).
A study of genome selection based on the porcine major economic traits.
Acta Veterinaria et Zootechnica Sinica, 2(50).