Shengjie Nie

Dr. Shengjie Nie


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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19 November 2013 in Journal of Molecular Neuroscience
Verified
Journal Article
Closed access
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BCBifeng Chen
Bifeng Chen
TGTao Gu
Tao Gu
BMBo Ma
Bo Ma
GZGuoqing Zheng
Guoqing Zheng
BKBingxiong Ke
Bingxiong Ke
SNShengjie Nie
Shengjie Nie

1 January 2014 in Genetics and Molecular Research
Verified
Journal Article
Closed access
LTL. Tang
L. Tang
BCB. Chen
B. Chen
BMB. Ma
B. Ma
SNShengjie Nie
Shengjie Nie
In this study, we investigated the association between 5 interferon regulatory factor-5 (IRF5) single nucleotide polymorphisms (SNPs) and autoimmune diseases using the Medline citation index. Twenty-eight studies with 74 comparisons, including 16 rheumatoid arthritis (RA), 43 systemic lupus erythematous (SLE), 2 juvenile idiopathic arthritis (JIA), 6 multiple sclerosis (MS), and 5 systemic sclerosis (SSc) studies, were examined in the meta-analysis. The SNP rs2004640 was significantly associated with SLE, MS, and SSc, but not with JIA [odds ratio (OR)=1.06, 95% confidence interval (CI)=0.90-1.24, P=0.48] or RA (OR=1.03, 95%CI=0.95-1.11, P=0.44). A significant association was observed between rs2280714 and SLE, MS, and SSc, but not RA (OR=1.01, 95%CI=0.94-1.09, P=0.80). Rs10954213 was associated with the pathogenesis of SLE, RA, MS, and SSc. rs2070197 and the exon 6 insertion were significantly associated with SLE. Haplotypes containing rs2004640T and rs2280714T were significantly associated with an increased risk of SLE, but not with RA. This meta-analysis certified that IRF5 polymorphisms confer susceptibility to SLE, MS, and SSc. To further confirm the correlations between polymorphisms of IRF5 and autoimmune disease susceptibility, studies involving a larger number of patients worldwide are necessary.

23 April 2024 in hLife
Verified
Journal Article
Open access
xiangping lixiangping li
xiangping li
MWMengge Wang
Mengge Wang
HSHaoran Su
Haoran Su
SDShuhan Duan
Shuhan Duan
YSYuntao Sun
Yuntao Sun
GHGuanglin He
Guanglin He

13 April 2020 in Journal of Molecular Neuroscience
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Journal Article
Closed access
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LLLinlin Liu
Linlin Liu
Jian WuJian Wu
Jian Wu
LQLili Qing
Lili Qing
JLJiajue Li
Jiajue Li
HYHao Yang
Hao Yang
SNShengjie Nie
Shengjie Nie

4 June 2025 in Genomics, Proteomics & Bioinformatics
Verified
Journal Article
Open access
ZWZhiyong Wang
Zhiyong Wang
KLKaijun Liu
Kaijun Liu
HYHaibing Yuan
Haibing Yuan
SDShuhan Duan
Shuhan Duan
YLYunhui Liu
Yunhui Liu
KZKun Zhou
Kun Zhou
The revolution in large-scale human genomics and advancements in statistical methods have profoundly refined our understanding of genetic diversity and structure within human populations. Y-chromosome variations, with their distinct evolutionary characteristics, play crucial roles in reconstructing the origins and interactions of ancient East Asian paternal lineages. We launched the YanHuang cohort employing a high-resolution capture sequencing panel to explore the evolutionary trajectory of Han Chinese, one of the world’s largest ethnic groups. We generated paternal genomic data for 5020 Han Chinese individuals across 29 Chinese administrative regions. We observed that multiple founding paternal lineages originating from ancient western Eurasia, Siberia, and East Asia contributed significantly to the Han Chinese gene pool. We identified fine-scale paternal genetic structures shaped by interactions among ancient populations and geographic barriers like the Qinling-Huaihe line and the Nanling Mountains. These structures reflect both isolation-enhanced and admixture-driven genetic differentiation, underscoring the complexity of Han Chinese genomic diversity. We observed a strong correlation between the frequency of multiple founding lineages and subsistence-related ancestral sources, including western pastoralists, Holocene Mongolian Plateau populations, and ancient East Asians. This relationship highlights the impact of ancient migrations and admixture on Chinese paternal genomic diversity. We introduced the Weakly-Differentiated Multi-Source Admixture model to clarify the intricate interactions among multiple ancestral sources influencing the Han Chinese paternal landscape. This study provides a comprehensive uniparental genomic resource from the YanHuang cohort, proposes a novel admixture model, and delineates the complex genomic landscape shaped by ancient herders, hunter-gatherers, and farmers integral to Han Chinese ancestry.

1 May 2017 in Forensic Science International: Genetics
Verified
Journal Article
Closed access
XZxiufeng zhang
xiufeng zhang
LHLiping Hu
Liping Hu
LDLei Du
Lei Du
ANAiting Nie
Aiting Nie
MRMin Rao
Min Rao
SNShengjie Nie
Shengjie Nie