Jirong Long

ORCID: 0000-0002-7433-9766
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Research Areas
  • Genetic Associations and Epidemiology
  • BRCA gene mutations in cancer
  • Nutrition, Genetics, and Disease
  • RNA modifications and cancer
  • Cancer-related molecular mechanisms research
  • Epigenetics and DNA Methylation
  • Genetic factors in colorectal cancer
  • Bioinformatics and Genomic Networks
  • Ovarian cancer diagnosis and treatment
  • Cancer Genomics and Diagnostics
  • Cancer, Lipids, and Metabolism
  • Gene expression and cancer classification
  • Estrogen and related hormone effects
  • Metabolomics and Mass Spectrometry Studies
  • Molecular Biology Techniques and Applications
  • RNA Research and Splicing
  • Gut microbiota and health
  • Genomic variations and chromosomal abnormalities
  • Genomics and Chromatin Dynamics
  • Cancer-related gene regulation
  • Endometrial and Cervical Cancer Treatments
  • Liver Disease Diagnosis and Treatment
  • Lipoproteins and Cardiovascular Health
  • Genetic and phenotypic traits in livestock
  • Bone health and osteoporosis research

Vanderbilt University Medical Center
2016-2025

Peking University
2025

Hunan University of Science and Technology
2025

Nanchong Central Hospital
2025

Capital Medical University
2025

Vanderbilt University
2015-2024

Vanderbilt-Ingram Cancer Center
2008-2024

National Cancer Institute
2011-2023

Division of Cancer Epidemiology and Genetics
2013-2023

Breast Cancer Research Foundation
2023

Jihua Chen Cassandra N. Spracklen Gaëlle Marenne Arushi Varshney Laura J. Corbin and 95 more Jian’an Luan Sara M. Willems Ying Wu Xiaoshuai Zhang Momoko Horikoshi Thibaud Boutin Reedik Mägi Johannes Waage Ruifang Li‐Gao Kei Hang Katie Chan Jie Yao Mila Desi Anasanti Audrey Y. Chu Annique Claringbould Jani Heikkinen Jaeyoung Hong Jouke‐Jan Hottenga Shaofeng Huo Marika Kaakinen Tin Louie Winfried März Hortensia Moreno-Macías Anne Ndungu Sarah C. Nelson Ilja M. Nolte Kari E. North Chelsea K. Raulerson Debashree Ray Rebecca Rohde Denis Rybin Claudia Schurmann Xueling Sim Lorraine Southam Isobel D. Stewart Carol A. Wang Yujie Wang Peitao Wu Weihua Zhang Tarunveer S. Ahluwalia Emil V. R. Appel Lawrence F. Bielak Jennifer A. Brody Noël P. Burtt Claudia Cabrera Brian E. Cade Jin Fang Chai Xiaoran Chai Li-Ching Chang Chien-Hsiun Chen Brian H. Chen Kumaraswamy Naidu Chitrala Yen‐Feng Chiu Hugoline G. de Haan Graciela E. Delgado Ayşe Demirkan Qing Duan Jorgen Engmann Segun Fatumo Javier Gayán Franco Giulianini Jung Ho Gong Stefan Gustafsson Yang Hai Fernando Pires Hartwig Jing He Yoriko Heianza Tao Huang Alicia Huerta-Chagoya Mi Yeong Hwang Richard A. Jensen Takahisa Kawaguchi Katherine A. Kentistou Young Jin Kim Marcus E. Kleber Ishminder K. Kooner Shuiqing Lai Leslie A. Lange Carl D. Langefeld Marie Lauzon Man Li Symen Ligthart Jun Liu Marie Loh Jirong Long Valeriya Lyssenko Massimo Mangino Carola Marzi May E. Montasser Abhishek Nag Masahiro Nakatochi Damia Noce Raymond Noordam Giorgio Pistis Michael Preuß Laura M. Raffield

10.1038/s41588-021-00852-9 article EN Nature Genetics 2021-05-31

Abstract Motivation: An important question that has emerged from the recent success of genome-wide association studies (GWAS) is how to detect genetic signals beyond single markers/genes in order explore their combined effects on mediating complex diseases and traits. Integrative testing GWAS data with prior-knowledge databases proteome recently gained attention. These methodologies may hold promise for comprehensively examining interactions between genes underlying pathogenesis diseases....

10.1093/bioinformatics/btq615 article EN Bioinformatics 2010-11-02
Tracy A. O’Mara Dylan M. Glubb Frédéric Amant Daniela Annibali Katie A. Ashton and 95 more John Attia Paul L. Auer Matthias W. Beckmann Amanda Black Manjeet K. Bolla Hiltrud Brauch Hermann Brenner Louise A. Brinton Daniel D. Buchanan Barbara Burwinkel Jenny Chang‐Claude Stephen J. Chanock Chu Chen Maxine Chen Timothy Cheng Christine L. Clarke Mark Clendenning Linda S. Cook Fergus J. Couch Angela Cox Marta Crous‐Bou Kamila Czene Felix R. Day Joe Dennis Jeroen Depreeuw Jennifer A. Doherty Thilo Dörk Sean C. Dowdy Matthias Dürst Arif B. Ekici Peter A. Fasching Brooke L. Fridley Christine M. Friedenreich Lin Fritschi Jenny N. Fung Montserrat García‐Closas Mia M. Gaudet Graham G. Giles Ellen L. Goode Maggie Gorman Christopher A. Haiman Per Hall Susan E. Hankison Catherine S. Healey Alexander Hein Peter Hillemanns Shirley Hodgson Erling A. Høivik Elizabeth Holliday John L. Hopper David J. Hunter Angela Jones Camilla Krakstad Vessela N. Kristensen Diether Lambrechts Loı̈c Le Marchand Xiaolin Liang Annika Lindblom Jolanta Lissowska Jirong Long Lingeng Lu Anthony M. Magliocco Lynn Martin Mark McEvoy Alfons Meindl Kyriaki Michailidou Roger L. Milne Miriam Mints Grant W. Montgomery Rami Nassir Håkan Olsson Irene Orlow Geoffrey Otton Claire Palles John R. B. Perry Julian Peto Loreall Pooler Jennifer Prescott Tony Proietto Timothy R. Rebbeck Harvey A. Risch Peter A. W. Rogers Matthias Rübner Ingo B. Runnebaum Carlotta Sacerdote Gloria E. Sarto Fredrick R. Schumacher Rodney J. Scott Veronica Wendy Setiawan Mitul Shah Xin Sheng Xiao‐Ou Shu Melissa C. Southey Anthony J. Swerdlow Emma Tham

Endometrial cancer is the most commonly diagnosed of female reproductive tract in developed countries. Through genome-wide association studies (GWAS), we have previously identified eight risk loci for endometrial cancer. Here, present an expanded meta-analysis 12,906 cases and 108,979 controls (including new genotype data 5624 cases) identify nine novel significant loci, including a locus on 12q24.12 by meta-GWAS colorectal At five expression quantitative trait (eQTL) analyses candidate...

10.1038/s41467-018-05427-7 article EN cc-by Nature Communications 2018-08-03
Lang Wu Yaohua Yang Xingyi Guo Xiao‐Ou Shu Qiuyin Cai and 95 more Xiang Shu Bingshan Li Ran Tao Chong Wu Jason B. Nikas Yanfa Sun Jingjing Zhu Monique J. Roobol Graham G. Giles Hermann Brenner Esther M. John Judith A. Clements Eli Marie Grindedal Jong Y. Park Janet L. Stanford Zsofia Kote‐Jarai Christopher A. Haiman Rosalind A. Eeles Wei Zheng Jirong Long Rosalind A. Eeles Brian E. Henderson Christopher A. Haiman Zsofia Kote‐Jarai Fredrick R. Schumacher Douglas F. Easton Sara Benlloch Ali Amin Al Olama Kenneth Muir Sonja I. Berndt David V. Conti Fredrik Wiklund Stephen J. Chanock Susan M. Gapstur Victoria L. Stevens Catherine M. Tangen Jyotsna Batra Judith A. Clements Henrik Grönberg Nora Pashayan Johanna Schleutker Demetrius Albanes Stephanie J. Weinstein Alicja Wolk Catharine West Lorelei A. Mucci Géraldine Cancel‐Tassin Stella Koutros Karina D. Sørensen Eli Marie Grindedal David E. Neal Freddie C. Hamdy Jenny Donovan Ruth C. Travis Robert J. Hamilton Sue A. Ingles Barry S. Rosenstein Yong‐Jie Lu Graham G. Giles Adam S. Kibel Ana Vega Manolis Kogevinas Kathryn L. Penney Jong Y. Park Janet L. Stanford Cezary Cybulski Børge G. Nordestgaard Hermann Brenner Christiane Maier Jeri Kim Esther M. John Manuel R. Teixeira Susan L. Neuhausen Kim De Ruyck Azad Hassan Abdul Razack Lisa F. Newcomb Marija Gamulin Radka Kaneva Nawaid Usmani Frank Claessens Paul A. Townsend Manuela Gago Dominguez Monique J. Roobol F. Ménégaux Kay‐Tee Khaw Lisa Cannon‐Albright Hardev Pandha Stephen N. Thibodeau David J. Hunter William J. Blot Elio Ríboli Rosalind A. Eeles Zsofia Kote‐Jarai Catharine West David E. Neal

Abstract It remains elusive whether some of the associations identified in genome-wide association studies prostate cancer (PrCa) may be due to regulatory effects genetic variants on CpG sites, which further influence expression PrCa target genes. To search for sites associated with risk, here we establish models predict methylation (N = 1,595) and conduct analyses risk (79,194 cases 61,112 controls). We identify 759 showing an association, including 15 located at novel loci. Among those 42...

10.1038/s41467-020-17673-9 article EN cc-by Nature Communications 2020-08-06
Lang Wu Wei Shi Jirong Long Xingyi Guo Kyriaki Michailidou and 95 more Jonathan Beesley Manjeet K. Bolla Xiao‐Ou Shu Yingchang Lu Qiuyin Cai Fares Al‐Ejeh Esdy Rozali Qin Wang Joe Dennis Bingshan Li Chenjie Zeng Helian Feng Alexander Gusev Richard Barfield Irene L. Andrulis Hoda Anton‐Culver Volker Arndt Kristan J. Aronson Paul L. Auer Myrto Barrdahl Caroline Baynes Matthias W. Beckmann Javier Benı́tez Marina Bermisheva Carl Blomqvist Natalia Bogdanova Stig E. Bojesen Hiltrud Brauch Hermann Brenner Louise A. Brinton Per Broberg Sara Y. Brucker Barbara Burwinkel Trinidad Caldés Federico Canzian Brian D. Carter Jose E. Castelao Jenny Chang‐Claude Xiaohong Chen Ting‐Yuan David Cheng Hans Christiansen Christine L. Clarke Margriet Collée Sten Cornelissen Fergus J. Couch David G. Cox Angela Cox Simon S. Cross Julie M. Cunningham Kamila Czene Mary B. Daly Peter Devilee Kimberly F. Doheny Thilo Dörk Isabel dos‐Santos‐Silva Martine Dumont Miriam Dwek Diana Eccles Ursula Eilber A. Heather Eliassen Christoph Engel Mikael Eriksson Laura Fachal Peter A. Fasching Jonine D. Figueroa Dieter Flesch‐Janys Olivia Fletcher Henrik Flyger Lin Fritschi Marike Gabrielson Manuela Gago‐Dominguez Susan M. Gapstur Montserrat García‐Closas Mia M. Gaudet Maya Ghoussaini Graham G. Giles Mark S. Goldberg David E. Goldgar Anna González‐Neira Pascal Guénel Eric Hahnen Christopher A. Haiman Niclas Håkansson Per Hall Emily Hallberg Ute Hamann Patricia Harrington Alexander Hein Belynda Hicks Peter Hillemanns Antoinette Hollestelle Robert N. Hoover John L. Hopper Guanmengqian Huang Keith Humphreys

10.1038/s41588-018-0132-x article EN Nature Genetics 2018-06-18

The oral microbiome may help to maintain systemic health, including how it affects blood glucose levels; however, direct evidence linking the with diabetes is lacking.We compared profiles of 98 participants incident diabetes, 99 obese non-diabetics and 97 normal weight non-diabetics, via deep sequencing 16S rRNA gene.We found that phylum Actinobacteria was present significantly less abundant among patients than controls (p = 3.9 × 10-3 ); odds ratio (OR) 95% confidence interval (CI) 0.27...

10.1111/jre.12432 article EN Journal of Periodontal Research 2017-02-08
Ken Suzuki Konstantinos Hatzikotoulas Lorraine Southam Henry J. Taylor Xianyong Yin and 95 more Kimberly Lorenz Ravi Mandla Alicia Huerta-Chagoya Giorgio Melloni Stavroula Kanoni Nigel W. Rayner Ozvan Bocher Ana Luiza Arruda Kyuto Sonehara Shinichi Namba Simon S. K. Lee Michael Preuß Lauren E. Petty Philip Schroeder Brett Vanderwerff Mart Kals Fiona Bragg Kuang Lin Xiuqing Guo Weihua Zhang Jie Yao Young Jin Kim Mariaelisa Graff Fumihiko Takeuchi Jana Nano Amel Lamri Masahiro Nakatochi Sanghoon Moon Robert A. Scott James P. Cook Jung‐Jin Lee Ian Pan Daniel Taliun Esteban J. Parra Jin Fang Chai Lawrence F. Bielak Yasuharu Tabara Yang Hai Guðmar Þorleifsson Niels Grarup Tamar Sofer Matthias Wuttke Chloé Sarnowski Christian Gieger Darryl Nousome Stella Trompet Soo‐Heon Kwak Jirong Long Meng Sun Tong Lin Wei‐Min Chen Suraj S. Nongmaithem Raymond Noordam Victor Lim Claudia H.T. Tam Yoonjung Yoonie Joo Chien-Hsiun Chen Laura M. Raffield Bram P. Prins Aude Nicolas Lisa R. Yanek Guanjie Chen Jennifer A. Brody Edmond K. Kabagambe Ping An Anny H. Xiang Hyeok Sun Choi Brian E. Cade Jingyi Tan K. Alaine Broadaway Alice Williamson Zoha Kamali Jinrui Cui Manonanthini Thangam Linda S. Adair Adebowale Adeyemo Carlos A. Aguilar‐Salinas Tarunveer S. Ahluwalia Sonia S. Anand Alain G. Bertoni Jette Bork‐Jensen Ivan Brandslund Thomas A. Buchanan Charles Burant Adam S. Butterworth Mickaël Canouil Juliana C.N. Chan Li-Ching Chang Miao-Li Chee Chen Ji Shyh‐Huei Chen Yuan‐Tsong Chen Zhengming Chen Lee‐Ming Chuang Mary Cushman

Abstract Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes 1,2 and molecular mechanisms are often specific to cell type 3,4 . Here, characterize the genetic contribution these across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases T2D. We identify 1,289 independent signals at significance ( P < 5 × 10 −8 ) map 611 loci, which 145...

10.1038/s41586-024-07019-6 article EN cc-by Nature 2024-02-19

Although more than 20 genetic susceptibility loci have been reported for type 2 diabetes (T2D), most variants small to moderate effects and account only a proportion of the heritability T2D, suggesting that majority inter-person variation in this disease remains be determined. We conducted multistage, genome-wide association study (GWAS) within Asian Consortium Diabetes search T2D markers. From 590,887 SNPs genotyped 1,019 cases 1,710 controls selected from Chinese women Shanghai, we top...

10.1371/journal.pgen.1001127 article EN cc-by PLoS Genetics 2010-09-16

Genetic factors play an important role in the etiology of both sporadic and familial breast cancer. We aimed to discover novel genetic susceptibility loci for conducted a four-stage genome-wide association study (GWAS) 19,091 cases 20,606 controls East-Asian descent including Chinese, Korean, Japanese women. After analyzing 690,947 SNPs 2,918 2,324 controls, we evaluated 5,365 replication 3,972 3,852 controls. Ninety-four were further 5,203 5,138 finally top 22 investigated up 17,423...

10.1371/journal.pgen.1002532 article EN cc-by PLoS Genetics 2012-02-23
Qibin Qi Tuomas O. Kilpeläinen Mary K. Downer Toshiko Tanaka Caren E. Smith and 95 more Ivonne Sluijs Emily Sonestedt Audrey Y. Chu Frida Renström Xiaochen Lin Lars Ängquist Jinyan Huang Zhonghua Liu Yanping Li Muhammad Asif Ali Min Xu Tarunveer S. Ahluwalia Jolanda M.A. Boer Peng Chen Makoto Daimon Johan G. Eriksson Markus Perola Yechiel Friedlander Yu-Tang Gao Denise H. M. Heppe John W. Holloway Denise K. Houston Stavroula Kanoni Yu‐Mi Kim Maarit A. Laaksonen Tiina Jääskeläinen Sang Lee Terho Lehtimäki Rozenn N. Lemaître Wei Lu Robert Luben Ani Manichaikul Satu Männistö Pedro Marques‐Vidal Keri L. Monda Julius S. Ngwa Louis Pérusse Frank J.A. van Rooij Yong-Bing Xiang Wanqing Wen Mary K. Wojczynski Jingwen Zhu Ingrid B. Borecki Claude Bouchard Qiuyin Cai Cyrus Cooper George Dedoussis Panos Deloukas Luigi Ferrucci Nita G. Forouhi Torben Hansen Lene Christiansen Albert Hofman Ingegerd Johansson Torben Jørgensen Shigeru Karasawa Kay‐Tee Khaw Mi Kyung Kim Kati Kristiansson Huaixing Li Lin Xu Yongmei Liu Kurt K. Lohman Jirong Long Vera Mikkilä Dariush Mozaffarian Kari E. North Oluf Pedersen Olli T. Raitakari Harri Rissanen Jaakko Tuomilehto Yvonne T. van der Schouw André G. Uitterlinden M. Carola Zillikens Oscar H. Franco E Shyong Tai Xiao Ou Shu David S. Siscovick Ulla Toft W. M. Monique Verschuren Péter Vollenweider Nicholas J. Wareham Jacqueline C.M. Witteman Wei Zheng Paul M. Ridker Jae‐Heon Kang Liming Liang Majken K. Jensen Gary C. Curhan Louis R. Pasquale David J. Hunter Karen L. Mohlke Matti Uusitupa L. Adrienne Cupples Tuomo Rankinen

FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest potential roles of regulating food intake. The interactive relation among variants, dietary intake and body mass index (BMI) complex results from previous often small-scale humans are highly inconsistent. We performed large-scale analyses based on data 177 330 adults (154 439 Whites, 5776 African Americans 17 115 Asians) 40 to examine: (i) association between FTO-rs9939609 variant (or...

10.1093/hmg/ddu411 article EN Human Molecular Genetics 2014-08-07
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