Yaohua Yang

Prof. Yaohua Yang

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 October 2018 in International Journal of Cancer
Verified
Journal Article
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YYYaohua Yang
Yaohua Yang
QCQiuyin Cai
Qiuyin Cai
XSXiao‐Ou Shu
Xiao‐Ou Shu
MSMark D. Steinwandel
Mark D. Steinwandel
WBWilliam J. Blot
William J. Blot
JLJirong Long
Jirong Long
Oral microbiome may play an important role in cancer pathogenesis. However, no study has prospectively investigated the association of the oral microbiome with subsequent risk of developing colorectal cancer (CRC). We conducted a nested case–control study including 231 incident CRC cases and 462 controls within the Southern Community Cohort Study with 75% of the subjects being African‐Americans. The controls were individually matched to cases based on age, ethnic group, smoking, season‐of‐study enrollment and recruitment method. Oral microbiota were assessed using 16S rRNA gene sequencing in pre‐diagnostic mouth rinse samples. Multiple bacterial taxa showed an association with CRC risk at p <0.05. Oral pathogens Treponema denticola and Prevotella intermedia were associated with an increased risk of CRC, with odds ratios (ORs) and 95% confidence intervals (CIs) of 1.76(1.19–2.60) and 1.55(1.08–2.22), respectively, for the individuals carrying these bacteria compared to non‐carriers. In the phylum Actinobacteria, Bifidobacteriaceae was more abundant among CRC patients than among controls. In the phylum Bacteroidetes, Prevotella denticola and Prevotella sp. oral taxon 300 were associated with an increased CRC risk, while Prevotella melaninogenica was associated with a decreased risk of CRC. In the phylum Firmicutes, Carnobacteriaceae, Streptococcaceae, Erysipelotrichaceae, Streptococcus, Solobacterium, Streptococcus sp. oral taxon 058 and Solobacterium moorei showed associations with a decreased risk of CRC. Most of these associations were observed among both African‐ and European‐Americans. Most of the associations were not significant after Bonferroni correction for multiple testing, which may be conservative. Our study suggests that the oral microbiome may play a significant role in CRC etiology.

5 March 2020 in Nature Communications
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Journal Article
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XSXiang Shu
Xiang Shu
JLJirong Long
Jirong Long
QCQiuyin Cai
Qiuyin Cai
SKSun-Seog Kweon
Sun-Seog Kweon
JCJi-Yeob Choi
Ji-Yeob Choi
WZWei Zheng
Wei Zheng
Known risk variants explain only a small proportion of breast cancer heritability, particularly in Asian women. To search for additional genetic susceptibility loci for breast cancer, here we perform a meta-analysis of data from genome-wide association studies (GWAS) conducted in Asians (24,206 cases and 24,775 controls) and European descendants (122,977 cases and 105,974 controls). We identified 31 potential novel loci with the lead variant showing an association with breast cancer risk at P < 5 × 10−8. The associations for 10 of these loci were replicated in an independent sample of 16,787 cases and 16,680 controls of Asian women (P < 0.05). In addition, we replicated the associations for 78 of the 166 known risk variants at P < 0.05 in Asians. These findings improve our understanding of breast cancer genetics and etiology and extend previous findings from studies of European descendants to Asian women.

1 January 2019 in Journal of Oral Microbiology
Verified
Journal Article
Open access
YYYaohua Yang
Yaohua Yang
QCQiuyin Cai
Qiuyin Cai
WZWei Zheng
Wei Zheng
MSMark Steinwandel
Mark Steinwandel
WBWilliam J. Blot
William J. Blot
JLJirong Long
Jirong Long
Few studies have evaluated the relationship of oral microbiome with obesity. We investigated the oral microbiome among 647 obese and 969 non-obese individuals from the Southern Community Cohort Study, through 16S rRNA gene sequencing in mouth rinse samples. We first investigated 16 taxa in two probiotic genera, Bifidobacterium and Lactobacillus. Among them, eight showed nominal associations with obesity (P < 0.05). Especially, Bifidobacterium (odds ratio [OR] = 0.67, 95% confidence interval [CI]:0.54, 0.83) and Bifidobacterium longum (OR = 0.57, 95% CI: 0.45, 0.73) were significantly associated with decreased obesity prevalence with false-discovery rate (FDR)-corrected P of 0.01 and 5.41 × 10−4, respectively. Multiple other bacterial taxa were also significantly associated with obesity prevalence at FDR-corrected P < 0.05. Among them, five in Firmicutes and two respectively in Actinobacteria and Proteobacteria were significantly associated with increased obesity prevalence. Significant associations with decreased obesity prevalence were observed for two taxa respectively in Actinobacteria and Firmicutes. Most of these taxa were associated with body mass index at study enrollment and weight gain during adulthood. Also, most of these associations were observed in both European- and African-Americans. Our findings indicate that multiple oral bacterial taxa, including several probiotic taxa, were significantly associated with obesity.

5 November 2021 in International Journal of Cancer
Verified
Journal Article
Closed access
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FWFen Wu
Fen Wu
LYLiying Yang
Liying Yang
YHYuhan Hao
Yuhan Hao
BZBoyan Zhou
Boyan Zhou
JHJiyuan Hu
Jiyuan Hu
YCYu Chen
Yu Chen

13 May 2024 in Nature Genetics
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GJGuochong Jia
Guochong Jia
JPJie Ping
Jie Ping
XGXingyi Guo
Xingyi Guo
YYYaohua Yang
Yaohua Yang
RTRan Tao
Ran Tao
WZWei Zheng
Wei Zheng

15 December 2014 in Proceedings of the National Academy of Sciences
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Journal Article
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MYMing-Kun Yang
Ming-Kun Yang
YYYaohua Yang
Yaohua Yang
ZCZhuo Chen
Zhuo Chen
JZJia Zhang
Jia Zhang
YLYan Lin
Yan Lin
JZJin-Dong Zhao
Jin-Dong Zhao
Significance: Proteogenomics is the application of mass spectrometry-derived proteomic data for testing and refining predicted genetic models. Cyanobacteria, the only prokaryotes capable of oxygenic photosynthesis, are the ancestor of chloroplasts in plants and play crucial roles in global carbon and nitrogen cycles. An integrated proteogenomic workflow was developed, and we tested this system on a model cyanobacterium, Synechococcus 7002, grown under various conditions. We obtained a nearly complete genome translational profile of this model organism. In addition, a holistic view of posttranslational modification (PTM) events is provided using the same dataset, and the results provide insights into photosynthesis. The entire proteogenomics pipeline is applicable to any sequenced prokaryotes and could be applied as a standard part of genome annotation projects.