Jian Gu

Dr. Jian Gu

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Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

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

Representative Publications

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2 April 2008 in Nature Genetics
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CAChristopher I Amos
Christopher I Amos
XWXifeng Wu
Xifeng Wu
PBPeter Broderick
Peter Broderick
IGIvan P Gorlov
Ivan P Gorlov
JGJian Gu
Jian Gu
Richard HoulstonRichard Houlston
Richard Houlston

1 June 2014 in Nature Genetics
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Journal Article
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YWYufei Wang
Yufei Wang
JMJames D McKay
James D McKay
TRThorunn Rafnar
Thorunn Rafnar
ZWZhaoming Wang
Zhaoming Wang
MTMaria N Timofeeva
Maria N Timofeeva
CAChristopher I Amos
Christopher I Amos
Richard Houlston, Maria Teresa Landi and colleagues report the identification of large-effect associations for squamous lung cancer with rare variants in BRCA2 and CHEK2. We conducted imputation to the 1000 Genomes Project of four genome-wide association studies of lung cancer in populations of European ancestry (11,348 cases and 15,861 controls) and genotyped an additional 10,246 cases and 38,295 controls for follow-up. We identified large-effect genome-wide associations for squamous lung cancer with the rare variants BRCA2 p.Lys3326X (rs11571833, odds ratio (OR) = 2.47, P = 4.74 × 10−20) and CHEK2 p.Ile157Thr (rs17879961, OR = 0.38, P = 1.27 × 10−13). We also showed an association between common variation at 3q28 (TP63, rs13314271, OR = 1.13, P = 7.22 × 10−10) and lung adenocarcinoma that had been previously reported only in Asians. These findings provide further evidence for inherited genetic susceptibility to lung cancer and its biological basis. Additionally, our analysis demonstrates that imputation can identify rare disease-causing variants with substantive effects on cancer risk from preexisting genome-wide association study data.

2 August 2009 in Nature Genetics
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XWXifeng Wu
Xifeng Wu
YYYuanqing Ye
Yuanqing Ye
LKLambertus A Kiemeney
Lambertus A Kiemeney
PSPatrick Sulem
Patrick Sulem
TRThorunn Rafnar
Thorunn Rafnar
JGJian Gu
Jian Gu
Xifeng Wu and colleagues show that a common variant in the prostate stem cell antigen (PSCA) gene on 8q24 is associated with susceptibility to urinary bladder cancer. The risk allele truncates the amino terminus of the PSCA gene product and reduces PSCA promoter activity in bladder cancer cell lines. We conducted a genome-wide association study on 969 bladder cancer cases and 957 controls from Texas. For fast-track validation, we evaluated 60 SNPs in three additional US populations and validated the top SNP in nine European populations. A missense variant (rs2294008) in the PSCA gene showed consistent association with bladder cancer in US and European populations. Combining all subjects (6,667 cases, 39,590 controls), the overall P-value was 2.14 × 10−10 and the allelic odds ratio was 1.15 (95% confidence interval 1.10–1.20). rs2294008 alters the start codon and is predicted to cause truncation of nine amino acids from the N-terminal signal sequence of the primary PSCA translation product. In vitro reporter gene assay showed that the variant allele significantly reduced promoter activity. Resequencing of the PSCA genomic region showed that rs2294008 is the only common missense SNP in PSCA. Our data identify rs2294008 as a new bladder cancer susceptibility locus.

29 July 2008 in JNCI: Journal of the National Cancer Institute
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JXJinliang Xing
Jinliang Xing
MCMeng Chen
Meng Chen
CWChristopher G. Wood
Christopher G. Wood
JLJie Lin
Jie Lin
MSMargaret R. Spitz
Margaret R. Spitz
XWXifeng Wu
Xifeng Wu
The extent to which mitochondrial DNA (mtDNA) content (also termed mtDNA copy number) in normal human cells is influenced by genetic factors has yet to be established. In addition, whether inherited variation of mtDNA content in normal cells contributes to cancer susceptibility remains unclear. Renal cell carcinoma accounts for 85% of all renal cancers. No studies have investigated the association between mtDNA content and the risk of renal cell carcinoma. We first used a classic twin study design to estimate the genetic contribution to the determination of mtDNA content. mtDNA content was measured by quantitative real-time polymerase chain reaction in peripheral blood lymphocytes from 250 monozygotic twins, 92 dizygotic twins, and 33 siblings (ie, individual siblings of a pair of twins). We used biometric genetic modeling to estimate heritability of mtDNA content. We then used a case–control study with 260 case patients with renal cell carcinoma and 281 matched control subjects and multivariable logistic regression analysis to examine the association between mtDNA content in peripheral blood lymphocytes and the risk of renal cell carcinoma. All statistical tests were two-sided. The heritability (ie, proportion of phenotypic variation in a population that is attributable to genetic variation among individuals) of mtDNA content was 65% (95% confidence interval [CI] = 50% to 72%; P < .001). Case patients with renal cell carcinoma had a statistically significantly lower mtDNA content (1.18 copies) than control subjects (1.29 copies) (difference = 0.11, 95% CI = 0.03 to 0.17; P = .006). Low mtDNA content (ie, less than the median in control subjects) was associated with a statistically significantly increased risk of renal cell carcinoma, compared with high content (odds ratio = 1.53, 95% CI = 1.07 to 2.19). In a trend analysis, a statistically significant dose–response relationship was detected between lower mtDNA content and increasing risk of renal cell carcinoma ( P for trend <.001). mtDNA content appears to have high heritability. Low mtDNA content appears to be associated with increased risk of renal cell carcinoma.

1 March 2006 in The American Journal of Human Genetics
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Journal Article
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XWXifeng Wu
Xifeng Wu
JGJian Gu
Jian Gu
HGH. Barton Grossman
H. Barton Grossman
CAChristopher I. Amos
Christopher I. Amos
CECarol Etzel
Carol Etzel
MSMargaret R. Spitz
Margaret R. Spitz

1 December 2008 in Clinical Cancer Research
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YHYohei Horikawa
Yohei Horikawa
CWChristopher G. Wood
Christopher G. Wood
HYHushan Yang
Hushan Yang
HZHua Zhao
Hua Zhao
YYYuanqing Ye
Yuanqing Ye
XWXifeng Wu
Xifeng Wu
Purpose: MicroRNAs (miRNA) are a class of small noncoding RNA molecules that have been implicated in a wide variety of basic cellular functions through posttranscriptional regulations on their target genes. Compelling evidence has shown that miRNAs are involved in cancer initiation and progression. We hypothesized that genetic variations of the miRNA machinery genes could be associated with the risk of renal cell carcinoma. Experimental Design: We genotyped 40 single nucleotide polymorphisms (SNP) from 11 miRNA processing genes (DROSHA, DGCR8, XPO5, RAN, DICER1, TARBP2, AGO1, AGO2, GEMIN3, GEMIN4, HIWI) and 15 miRNA genes in 279 Caucasian patients with renal cell carcinoma and 278 matched controls. Results: We found that two SNPs in the GEMIN4 gene were significantly associated with altered renal cell carcinoma risks. The variant-containing genotypes of Asn929Asp and Cys1033Arg exhibited significantly reduced risks, with odds ratios (OR) of 0.67 [95% confidence interval (95% CI), 0.47-0.96] and 0.68 (95% CI, 0.47-0.98), respectively. Haplotype analysis showed that a common haplotype of GEMIN4 was associated with a significant reduction in the risk of renal cell carcinoma (OR, 0.66; 95% CI, 0.45-0.97). We also conducted a combined unfavorable genotype analysis including five promising SNPs showing at least a borderline significant risk association. Compared with the low-risk reference group with one unfavorable genotype, the median-risk and high-risk groups exhibited a 1.55-fold (95% CI, 0.96-2.50) and a 2.49-fold (95% CI, 1.58-3.91) increased risk of renal cell carcinoma, respectively (P for trend < 0.001). Conclusions: Our results suggested that genetic polymorphisms of the miRNA-machinery genes may affect renal cell carcinoma susceptibility individually and jointly.