Xingyi Guo

Dr. Xingyi Guo


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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20 December 2022 in Nature Genetics
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Journal Article
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Ceres Fernández-RozadillaCeres Fernández-Rozadilla
Ceres Fernández-Rozadilla
MTMaria Timofeeva
Maria Timofeeva
ZCZhishan Chen
Zhishan Chen
PLPhilip Law
Philip Law
MTMinta Thomas
Minta Thomas
UPUlrike Peters
Ulrike Peters

18 June 2018 in Nature Genetics
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Journal Article
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NCNbcs Collaborators
Nbcs Collaborators
LWLang Wu
Lang Wu
KIkConFab/AOCS Investigators
kConFab/AOCS Investigators
WSWei Shi
Wei Shi
JLJirong Long
Jirong Long
WZWei Zheng
Wei Zheng
The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas. Of the 8,597 genes evaluated, significant associations were identified for 48 at a Bonferroni-corrected threshold of P < 5.82 × 10−6, including 14 genes at loci not yet reported for breast cancer. We silenced 13 genes and showed an effect for 11 on cell proliferation and/or colony-forming efficiency. Our study provides new insights into breast cancer genetics and biology.

1 June 2016 in Gastroenterology
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Journal Article
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CZChenjie Zeng
Chenjie Zeng
KMKoichi Matsuda
Koichi Matsuda
WJWei-Hua Jia
Wei-Hua Jia
JCJiang Chang
Jiang Chang
SKSun-Seog Kweon
Sun-Seog Kweon
WZWei Zheng
Wei Zheng
Background & Aims Known genetic factors explain only a small fraction of genetic variation in colorectal cancer (CRC). We conducted a genome-wide association study to identify risk loci for CRC. Methods This discovery stage included 8027 cases and 22,577 controls of East-Asian ancestry. Promising variants were evaluated in studies including as many as 11,044 cases and 12,047 controls. Tumor-adjacent normal tissues from 188 patients were analyzed to evaluate correlations of risk variants with expression levels of nearby genes. Potential functionality of risk variants were evaluated using public genomic and epigenomic databases. Results We identified 4 loci associated with CRC risk; P values for the most significant variant in each locus ranged from 3.92 × 10−8 to 1.24 × 10−12: 6p21.1 (rs4711689), 8q23.3 (rs2450115, rs6469656), 10q24.3 (rs4919687), and 12p13.3 (rs11064437). We also identified 2 risk variants at loci previously associated with CRC: 10q25.2 (rs10506868) and 20q13.3 (rs6061231). These risk variants, conferring an approximate 10%–18% increase in risk per allele, are located either inside or near protein-coding genes that include transcription factor EB (lysosome biogenesis and autophagy), eukaryotic translation initiation factor 3, subunit H (initiation of translation), cytochrome P450, family 17, subfamily A, polypeptide 1 (steroidogenesis), splA/ryanodine receptor domain and SOCS box containing 2 (proteasome degradation), and ribosomal protein S2 (ribosome biogenesis). Gene expression analyses showed a significant association (P < .05) for rs4711689 with transcription factor EB, rs6469656 with eukaryotic translation initiation factor 3, subunit H, rs11064437 with splA/ryanodine receptor domain and SOCS box containing 2, and rs6061231 with ribosomal protein S2. Conclusions We identified susceptibility loci and genes associated with CRC risk, linking CRC predisposition to steroid hormone, protein synthesis and degradation, and autophagy pathways and providing added insight into the mechanism of CRC pathogenesis.

1 May 2018 in The American Journal of Human Genetics
Verified
Journal Article
Closed access
XGXingyi Guo
Xingyi Guo
WLWeiqiang Lin
Weiqiang Lin
JBjiandong bao
jiandong bao
QCQiuyin Cai
Qiuyin Cai
XPXiao Pan
Xiao Pan
WZWei Zheng
Wei Zheng

15 December 2022 in Cancer Discovery
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Journal Article
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AHAndreana Holowatyj
Andreana Holowatyj
WWWanqing Wen
Wanqing Wen
TGTimothy Gibbs
Timothy Gibbs
HSHannah M. Seagle
Hannah M. Seagle
SKSamantha R. Keller
Samantha R. Keller
XGXingyi Guo
Xingyi Guo
Molecular features underlying colorectal cancer disparities remain uncharacterized. Here, we investigated somatic mutation patterns by race/ethnicity and sex among 5,856 non-Hispanic white (NHW), 535 non-Hispanic Black (NHB), and 512 Asian/Pacific Islander (API) patients with colorectal cancer (2,016 early-onset colorectal cancer patients: sequencing age <50 years). NHB patients with early-onset nonhypermutated colorectal cancer, but not API patients, had higher adjusted tumor mutation rates than NHW patients. There were significant differences for LRP1B, FLT4, FBXW7, RNF43, ATRX, APC, and PIK3CA mutation frequencies in early-onset nonhypermutated colorectal cancers between racial/ethnic groups. Heterogeneities by race/ethnicity were observed for the effect of APC, FLT4, and FAT1 between early-onset and late-onset nonhypermutated colorectal cancer. By sex, heterogeneity was observed for the effect of EP300, BRAF, WRN, KRAS, AXIN2, and SMAD2. Males and females with nonhypermutated colorectal cancer had different trends in EP300 mutations by age group. These findings define genomic patterns of early-onset nonhypermutated colorectal cancer by race/ethnicity and sex, which yields novel biological clues into early-onset colorectal cancer disparities. Significance: NHBs, but not APIs, with early-onset nonhypermutated colorectal cancer had higher adjusted tumor mutation rates versus NHWs. Differences for FLT4, FBXW7, RNF43, LRP1B, APC, PIK3CA, and ATRX mutation rates between racial/ethnic groups and EP300, KRAS, AXIN2, WRN, BRAF, and LRP1B mutation rates by sex were observed in tumors of young patients. See related commentary by Shen et al., p. 530 . This article is highlighted in the In This Issue feature, p. 517

13 May 2024 in Nature Genetics
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Journal Article
Closed access
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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