A5060097536- Genetic Associations and Epidemiology
- Cancer-related molecular mechanisms research
- Genetic and phenotypic traits in livestock
- Molecular Biology Techniques and Applications
- Forensic and Genetic Research
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Genetic Mapping and Diversity in Plants and Animals
- Genomic variations and chromosomal abnormalities
University of Chinese Academy of Sciences
2019-2021
Beijing Institute of Genomics
2017-2021
Chinese Academy of Sciences
2017-2018
Predicting adult height from DNA has important implications in forensic phenotyping. In 2014, we introduced a prediction model consisting of 180 height-associated SNPs based on data 10,361 Northwestern Europeans enriched with tall individuals (770 > 1.88 standard deviation), which yielded mid-ranged accuracy (AUC = 0.75 for binary stature and R2 0.12 quantitative height). Here, provide an update DNA-based predictability considering enlarged list subsequently-published using the same set...
Adult height is the most widely genetically studied common trait in humans; however, variance explainable by currently known height-associated single nucleotide polymorphisms (SNPs) identified from previous genome-wide association studies (GWAS) yet far complete given high heritability of this complex trait. To exam if compound heterozygotes (CH) may explain extra variance, we conducted a analysis to screen for CH with adult 10,631 Dutch Europeans enriched extremely tall people, using our...
To establish a height prediction model of Chinese Han male based on the reported 547 height-associated single nucleotide polymorphisms （SNPs） loci in Europeans, and assess its accuracy for estimation.The DNA typing was analyzed 59 samples Shandong province by Affymetrix SNP Array 6.0 chip HiSeq 4000 sequencing platform. Prediction established using SNPs as predictors weight allele sums （WAS） computing method. The analysed receiver operating characteristic （ROC） curve area under （AUC）.There...