Prioritizing complex disease risk genes by integrating multiple data-Reference-Cited by-同舟云学术

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Prioritizing complex disease risk genes by integrating multiple data

Published:2019-07 Issue:4 Volume:111 Page:590-597
ISSN:0888-7543
Container-title:Genomics
language:en
Short-container-title:Genomics

Author:

Guo Shanshan,Wei Benliang,Dong Bingchen,Li Wan,Wu Song,He Yuehan,Wang Yahui,Zhao Xilei,Chen Lina^ORCID,He Weiming

Funder

National Natural Science Foundation of China

Health and Family Planning Commission Scientific Research Subject of Heilongjiang Province

Fundamental research project

Harbin Applied Technology Research and Development Project

University Student Innovation and Entrepreneurship Training Program

Publisher

Elsevier BV

Subject

Genetics

Reference66 articles.

1. Finding common susceptibility variants for complex disease: past, present and future;Panoutsopoulou;Brief. Funct. Genom. Proteome,2009

2. Detecting gene-gene interactions that underlie human diseases;Cordell;Nat. Rev. Genet.,2009

3. Association of plasma small-molecule intermediate metabolites with age and body mass index across six diverse study populations;Kraus;J. Gerontol. A Biol. Sci. Med. Sci.,2016

4. Advances in the science, treatment, and prevention of the disease of obesity: reflections from a diabetes care Editors' expert forum;Cefalu;Diabetes Care,2015

5. Obesity: an overview of possible role(s) of gut hormones, lipid sensing and gut microbiota;Mishra;Metab. Clin. Exp.,2016

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1. Candidate gene prioritization for chronic obstructive pulmonary disease using expression information in protein–protein interaction networks;BMC Pulmonary Medicine;2021-09-04

2. Corrigendum to <’title of article:Prioritizing complex disease risk genes by integrating multiple data’>. <[Journal Title volume (year) start page–end page:Genomics，Volume 111, Issue 4, July 2019, Pages 590–597]>;Genomics;2021-01

3. A novel association of rs13334070 in the RPGRIP1L gene with adiposity factors discovered by joint linkage and linkage disequilibrium analysis in Iranian pedigrees: Tehran Cardiometabolic Genetic Study (TCGS);Genetic Epidemiology;2018-12-30

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