Microbial genes outperform species and SNVs as diagnostic markers for Crohn’s disease on multicohort fecal metagenomes empowered by artificial intelligence

Author:

Gao Sheng1ORCID,Gao Xiang1,Zhu Ruixin1ORCID,Wu Dingfeng2,Feng Zhongsheng1,Jiao Na2,Sun Ruicong1,Gao Wenxing1ORCID,He Qing3,Liu Zhanju4,Zhu Lixin56

Affiliation:

1. Department of Gastroenterology, the Shanghai Tenth People’s Hospital, School of Medicine, School of Life Sciences and Technology, Tongji University, Shanghai, P. R. China

2. National Clinical Research Center for Child Health, the Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, P. R. China

3. Departments of Gastroenterology and Nutrition, the Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, P.R. China

4. Center for IBD Research, Department of Gastroenterology, the Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, P. R. China

5. Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases; Biomedical Innovation Center, Sun Yat-Sen University, Guangzhou, P. R. China

6. Department of General Surgery, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P. R. China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Guangdong Province “Pearl River Talent Plan” Innovation and Entrepreneurship Team Project

Program of Guangdong Provincial Clinical Research Center for Digestive Diseases

National Key Clinical Discipline

Publisher

Informa UK Limited

Subject

Infectious Diseases,Microbiology (medical),Gastroenterology,Microbiology

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