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Expression quantitative trait loci ( eQTLs )

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https://www.readbyqxmd.com/read/28703219/genome-wide-association-and-expression-quantitative-trait-loci-studies-identify-multiple-susceptibility-loci-for-thyroid-cancer
#1
Ho-Young Son, Yul Hwangbo, Seong-Keun Yoo, Sun-Wha Im, San Duk Yang, Soo-Jung Kwak, Min Seon Park, Soo Heon Kwak, Sun Wook Cho, Jun Sun Ryu, Jeongseon Kim, Yuh-Seog Jung, Tae Hyun Kim, Su-Jin Kim, Kyu Eun Lee, Do Joon Park, Nam Han Cho, Joohon Sung, Jeong-Sun Seo, Eun Kyung Lee, Young Joo Park, Jong-Il Kim
Thyroid cancer is the most common cancer in Korea. Several susceptibility loci of differentiated thyroid cancer (DTC) were identified by previous genome-wide association studies (GWASs) in Europeans only. Here we conducted a GWAS and a replication study in Koreans using a total of 1,085 DTC cases and 8,884 controls, and validated these results using expression quantitative trait loci (eQTL) analysis and clinical phenotypes. The most robust associations were observed in the NRG1 gene (rs6996585, P=1.08 × 10(-10)) and this SNP was also associated with NRG1 expression in thyroid tissues...
July 13, 2017: Nature Communications
https://www.readbyqxmd.com/read/28664150/coexpression-and-expression-quantitative-trait-loci-analyses-of-the-angiogenesis-gene-gene-interaction-network-in-prostate-cancer
#2
Hui-Yi Lin, Chia-Ho Cheng, Dung-Tsa Chen, Y Ann Chen, Jong Y Park
BACKGROUND: Prostate cancer (PCa) shows a substantial clinical heterogeneity. The existing risk classification for PCa prognosis based on clinical factors is not sufficient. Although some biomarkers for PCa aggressiveness have been identified, their underlying functional mechanisms are still unclear. We previously reported a gene-gene interaction network associated with PCa aggressiveness based on single nucleotide polymorphism (SNP)-SNP interactions in the angiogenesis pathway. The goal of this study is to investigate potential functional evidence of the involvement of the genes in this gene-gene interaction network...
October 2016: Translational Cancer Research
https://www.readbyqxmd.com/read/28656603/a-genetic-variant-near-gata3-implicated-in-inherited-susceptibility-and-etiology-of-benign-prostatic-hyperplasia-bph-and-lower-urinary-tract-symptoms-luts
#3
Rong Na, Brian T Helfand, Haitao Chen, Carly A Conran, Susan E Crawford, Simon W Hayward, Teuvo L J Tammela, Judy Hoffman-Bolton, Siqun L Zheng, Patrick C Walsh, Johanna Schleutker, Elizabeth A Platz, William B Isaacs, Jianfeng Xu
BACKGROUND: Benign prostatic hyperplasia (BPH) and associated lower urinary tract symptoms (LUTS) are common conditions. Little is known about their etiologies except that studies have suggested a substantial heritable component. Our objective is to provide a comprehensive, genome-wide evaluation of inherited risks and possible mechanisms of etiology in BPH. METHODS: We performed a three-stage, genome-wide association study (GWAS) of men from three independent populations, the REduction by DUtasteride of prostate Cancer Events (REDUCE) trial, the CLUE II cohort, and a Finnish hospital-based population...
June 28, 2017: Prostate
https://www.readbyqxmd.com/read/28643332/integrative-eqtl-analysis-of-tumor-and-host-omics-data-in-individuals-with-bladder-cancer
#4
Silvia Pineda, Kristel Van Steen, Núria Malats
Integrative analyses of several omics data are emerging. The data are usually generated from the same source material (i.e., tumor sample) representing one level of regulation. However, integrating different regulatory levels (i.e., blood) with those from tumor may also reveal important knowledge about the human genetic architecture. To model this multilevel structure, an integrative-expression quantitative trait loci (eQTL) analysis applying two-stage regression (2SR) was proposed. This approach first regressed tumor gene expression levels with tumor markers and the adjusted residuals from the previous model were then regressed with the germline genotypes measured in blood...
June 23, 2017: Genetic Epidemiology
https://www.readbyqxmd.com/read/28642272/networks-underpinning-symbiosis-revealed-through-cross-species-eqtl-mapping
#5
Yuelong Guo, Sylwia Fudali, Jacinta Gimeno, Peter DiGennaro, Stella Chang, Valerie M Williamson, David McK Bird, Dahlia M Nielsen
Organisms engage in extensive cross-species molecular dialogue, yet the underlying molecular actors are known for only a few interactions. Many techniques have been designed to uncover genes involved in signaling between organisms. Typically, these focus on only one of the partners. We developed an expression quantitative trait locus (eQTL) mapping-based approach to identify cause-and-effect relationships between genes from two partners engaged in an interspecific interaction. We demonstrated the approach by assaying expression of ninety-eight isogenic plants (Medicago truncatula), each inoculated with a genetically distinct line of the diploid parasitic nematode Meloidogyne hapla With this design, systematic differences in gene expression across host plants could be mapped to genetic polymorphisms of their infecting parasites...
June 22, 2017: Genetics
https://www.readbyqxmd.com/read/28635624/effects-of-type-1-diabetes-risk-alleles-on-immune-cell-gene-expression
#6
REVIEW
Ramesh Ram, Grant Morahan
Genetic studies have identified 61 variants associated with the risk of developing Type 1 Diabetes (T1D). The functions of most of the non-HLA (Human Leukocyte Antigen) genetic variants remain unknown. We found that only 16 of these risk variants could potentially be linked to a protein-coding change. Therefore, we investigated whether these variants affected susceptibility by regulating changes in gene expression. To do so, we examined whole transcriptome profiles of 600 samples from the Type 1 Diabetes Genetics Consortium (T1DGC)...
June 21, 2017: Genes
https://www.readbyqxmd.com/read/28626070/potential-susceptibility-loci-identified-for-renal-cell-carcinoma-by-targeting-obesity-related-genes
#7
Xiang Shu, Mark P Purdue, Yuanqing Ye, Huakang Tu, Christopher G Wood, Nizar M Tannir, Zhaoming Wang, Demetrius Albanes, Susan M Gapstur, Victoria L Stevens, Nathaniel Rothman, Stephen J Chanock, Xifeng Wu
BACKGROUND: Obesity is an established risk factor for renal cell carcinoma (RCC). Although genome-wide association studies (GWAS) of RCC have identified several susceptibility loci, additional variants might be missed due to the highly conservative selection. METHODS: We conducted a multiphase study utilizing three independent genome-wide scans at MD Anderson Cancer Center (MDA RCC GWAS and MDA RCC OncoArray) and National Cancer Institute (NCI RCC GWAS), which consisted of a total of 3,530 cases and 5,714 controls, to investigate genetic variations in obesity-related genes and RCC risk...
June 16, 2017: Cancer Epidemiology, Biomarkers & Prevention
https://www.readbyqxmd.com/read/28613276/genetic-loci-associated-with-heart-rate-variability-and-their-effects-on-cardiac-disease-risk
#8
Ilja M Nolte, M Loretto Munoz, Vinicius Tragante, Azmeraw T Amare, Rick Jansen, Ahmad Vaez, Benedikt von der Heyde, Christy L Avery, Joshua C Bis, Bram Dierckx, Jenny van Dongen, Stephanie M Gogarten, Philippe Goyette, Jussi Hernesniemi, Ville Huikari, Shih-Jen Hwang, Deepali Jaju, Kathleen F Kerr, Alexander Kluttig, Bouwe P Krijthe, Jitender Kumar, Sander W van der Laan, Leo-Pekka Lyytikäinen, Adam X Maihofer, Arpi Minassian, Peter J van der Most, Martina Müller-Nurasyid, Michel Nivard, Erika Salvi, James D Stewart, Julian F Thayer, Niek Verweij, Andrew Wong, Delilah Zabaneh, Mohammad H Zafarmand, Abdel Abdellaoui, Sulayma Albarwani, Christine Albert, Alvaro Alonso, Foram Ashar, Juha Auvinen, Tomas Axelsson, Dewleen G Baker, Paul I W de Bakker, Matteo Barcella, Riad Bayoumi, Rob J Bieringa, Dorret Boomsma, Gabrielle Boucher, Annie R Britton, Ingrid Christophersen, Andrea Dietrich, George B Ehret, Patrick T Ellinor, Markku Eskola, Janine F Felix, John S Floras, Oscar H Franco, Peter Friberg, Maaike G J Gademan, Mark A Geyer, Vilmantas Giedraitis, Catharina A Hartman, Daiane Hemerich, Albert Hofman, Jouke-Jan Hottenga, Heikki Huikuri, Nina Hutri-Kähönen, Xavier Jouven, Juhani Junttila, Markus Juonala, Antti M Kiviniemi, Jan A Kors, Meena Kumari, Tatiana Kuznetsova, Cathy C Laurie, Joop D Lefrandt, Yong Li, Yun Li, Duanping Liao, Marian C Limacher, Henry J Lin, Cecilia M Lindgren, Steven A Lubitz, Anubha Mahajan, Barbara McKnight, Henriette Meyer Zu Schwabedissen, Yuri Milaneschi, Nina Mononen, Andrew P Morris, Mike A Nalls, Gerjan Navis, Melanie Neijts, Kjell Nikus, Kari E North, Daniel T O'Connor, Johan Ormel, Siegfried Perz, Annette Peters, Bruce M Psaty, Olli T Raitakari, Victoria B Risbrough, Moritz F Sinner, David Siscovick, Johannes H Smit, Nicholas L Smith, Elsayed Z Soliman, Nona Sotoodehnia, Jan A Staessen, Phyllis K Stein, Adrienne M Stilp, Katarzyna Stolarz-Skrzypek, Konstantin Strauch, Johan Sundström, Cees A Swenne, Ann-Christine Syvänen, Jean-Claude Tardif, Kent D Taylor, Alexander Teumer, Timothy A Thornton, Lesley E Tinker, André G Uitterlinden, Jessica van Setten, Andreas Voss, Melanie Waldenberger, Kirk C Wilhelmsen, Gonneke Willemsen, Quenna Wong, Zhu-Ming Zhang, Alan B Zonderman, Daniele Cusi, Michele K Evans, Halina K Greiser, Pim van der Harst, Mohammad Hassan, Erik Ingelsson, Marjo-Riitta Järvelin, Stefan Kääb, Mika Kähönen, Mika Kivimaki, Charles Kooperberg, Diana Kuh, Terho Lehtimäki, Lars Lind, Caroline M Nievergelt, Chris J O'Donnell, Albertine J Oldehinkel, Brenda Penninx, Alexander P Reiner, Harriëtte Riese, Arie M van Roon, John D Rioux, Jerome I Rotter, Tamar Sofer, Bruno H Stricker, Henning Tiemeier, Tanja G M Vrijkotte, Folkert W Asselbergs, Bianca J J M Brundel, Susan R Heckbert, Eric A Whitsel, Marcel den Hoed, Harold Snieder, Eco J C de Geus
Reduced cardiac vagal control reflected in low heart rate variability (HRV) is associated with greater risks for cardiac morbidity and mortality. In two-stage meta-analyses of genome-wide association studies for three HRV traits in up to 53,174 individuals of European ancestry, we detect 17 genome-wide significant SNPs in eight loci. HRV SNPs tag non-synonymous SNPs (in NDUFA11 and KIAA1755), expression quantitative trait loci (eQTLs) (influencing GNG11, RGS6 and NEO1), or are located in genes preferentially expressed in the sinoatrial node (GNG11, RGS6 and HCN4)...
June 14, 2017: Nature Communications
https://www.readbyqxmd.com/read/28604730/large-scale-association-analysis-identifies-new-lung-cancer-susceptibility-loci-and-heterogeneity-in-genetic-susceptibility-across-histological-subtypes
#9
James D McKay, Rayjean J Hung, Younghun Han, Xuchen Zong, Robert Carreras-Torres, David C Christiani, Neil E Caporaso, Mattias Johansson, Xiangjun Xiao, Yafang Li, Jinyoung Byun, Alison Dunning, Karen A Pooley, David C Qian, Xuemei Ji, Geoffrey Liu, Maria N Timofeeva, Stig E Bojesen, Xifeng Wu, Loic Le Marchand, Demetrios Albanes, Heike Bickeböller, Melinda C Aldrich, William S Bush, Adonina Tardon, Gad Rennert, M Dawn Teare, John K Field, Lambertus A Kiemeney, Philip Lazarus, Aage Haugen, Stephen Lam, Matthew B Schabath, Angeline S Andrew, Hongbing Shen, Yun-Chul Hong, Jian-Min Yuan, Pier Alberto Bertazzi, Angela C Pesatori, Yuanqing Ye, Nancy Diao, Li Su, Ruyang Zhang, Yonathan Brhane, Natasha Leighl, Jakob S Johansen, Anders Mellemgaard, Walid Saliba, Christopher A Haiman, Lynne R Wilkens, Ana Fernandez-Somoano, Guillermo Fernandez-Tardon, Henricus F M van der Heijden, Jin Hee Kim, Juncheng Dai, Zhibin Hu, Michael P A Davies, Michael W Marcus, Hans Brunnström, Jonas Manjer, Olle Melander, David C Muller, Kim Overvad, Antonia Trichopoulou, Rosario Tumino, Jennifer A Doherty, Matt P Barnett, Chu Chen, Gary E Goodman, Angela Cox, Fiona Taylor, Penella Woll, Irene Brüske, H-Erich Wichmann, Judith Manz, Thomas R Muley, Angela Risch, Albert Rosenberger, Kjell Grankvist, Mikael Johansson, Frances A Shepherd, Ming-Sound Tsao, Susanne M Arnold, Eric B Haura, Ciprian Bolca, Ivana Holcatova, Vladimir Janout, Milica Kontic, Jolanta Lissowska, Anush Mukeria, Simona Ognjanovic, Tadeusz M Orlowski, Ghislaine Scelo, Beata Swiatkowska, David Zaridze, Per Bakke, Vidar Skaug, Shanbeh Zienolddiny, Eric J Duell, Lesley M Butler, Woon-Puay Koh, Yu-Tang Gao, Richard S Houlston, John McLaughlin, Victoria L Stevens, Philippe Joubert, Maxime Lamontagne, David C Nickle, Ma'en Obeidat, Wim Timens, Bin Zhu, Lei Song, Linda Kachuri, María Soler Artigas, Martin D Tobin, Louise V Wain, Thorunn Rafnar, Thorgeir E Thorgeirsson, Gunnar W Reginsson, Kari Stefansson, Dana B Hancock, Laura J Bierut, Margaret R Spitz, Nathan C Gaddis, Sharon M Lutz, Fangyi Gu, Eric O Johnson, Ahsan Kamal, Claudio Pikielny, Dakai Zhu, Sara Lindströem, Xia Jiang, Rachel F Tyndale, Georgia Chenevix-Trench, Jonathan Beesley, Yohan Bossé, Stephen Chanock, Paul Brennan, Maria Teresa Landi, Christopher I Amos
Although several lung cancer susceptibility loci have been identified, much of the heritability for lung cancer remains unexplained. Here 14,803 cases and 12,262 controls of European descent were genotyped on the OncoArray and combined with existing data for an aggregated genome-wide association study (GWAS) analysis of lung cancer in 29,266 cases and 56,450 controls. We identified 18 susceptibility loci achieving genome-wide significance, including 10 new loci. The new loci highlight the striking heterogeneity in genetic susceptibility across the histological subtypes of lung cancer, with four loci associated with lung cancer overall and six loci associated with lung adenocarcinoma...
July 2017: Nature Genetics
https://www.readbyqxmd.com/read/28575649/genetic-variation-driven-gene-expression-changes-highlight-genes-with-important-functions-for-kidney-disease
#10
Yi-An Ko, Huiguang Yi, Chengxiang Qiu, Shizheng Huang, Jihwan Park, Nora Ledo, Anna Köttgen, Hongzhe Li, Daniel J Rader, Michael A Pack, Christopher D Brown, Katalin Susztak
Chronic kidney disease (CKD) is a complex gene-environmental disease affecting close to 10% of the US population. Genome-wide association studies (GWASs) have identified sequence variants, localized to non-coding genomic regions, associated with kidney function. Despite these robust observations, the mechanism by which variants lead to CKD remains a critical unanswered question. Expression quantitative trait loci (eQTL) analysis is a method to identify genetic variation associated with gene expression changes in specific tissue types...
June 1, 2017: American Journal of Human Genetics
https://www.readbyqxmd.com/read/28575251/hierarchical-probabilistic-models-for-multiple-gene-variant-associations-based-on-next-generation-sequencing-data
#11
Dimitrios V Vavoulis, Jenny C Taylor, Anna Schuh
Motivation: The identification of genetic variants influencing gene expression (known as expression quantitative trait loci or eQTLs ) is important in unravelling the genetic basis of complex traits. Detecting multiple eQTLs simultaneously in a population based on paired DNA-seq and RNA-seq assays employs two competing types of models: models which rely on appropriate transformations of RNA-seq data (and are powered by a mature mathematical theory), or count-based models , which represent digital gene expression explicitly, thus rendering such transformations unnecessary...
May 31, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28567521/comprehensive-evaluation-of-disease-and-trait-specific-enrichment-for-eight-functional-elements-among-gwas-identified-variants
#12
Christina A Markunas, Eric O Johnson, Dana B Hancock
Genome-wide association study (GWAS)-identified variants are enriched for functional elements. However, we have limited knowledge of how functional enrichment may differ by disease/trait and tissue type. We tested a broad set of eight functional elements for enrichment among GWAS-identified SNPs (p < 5×10(-8)) from the NHGRI-EBI Catalog across seven disease/trait categories: cancer, cardiovascular disease, diabetes, autoimmune disease, psychiatric disease, neurological disease, and anthropometric traits...
May 31, 2017: Human Genetics
https://www.readbyqxmd.com/read/28564610/effect-of-human-genetic-variability-on-gene-expression-in-dorsal-root-ganglia-and-association-with-pain-phenotypes
#13
Marc Parisien, Samar Khoury, Anne-Julie Chabot-Doré, Susana G Sotocinal, Gary D Slade, Shad B Smith, Roger B Fillingim, Richard Ohrbach, Joel D Greenspan, William Maixner, Jeffrey S Mogil, Inna Belfer, Luda Diatchenko
Dorsal root ganglia (DRG) relay sensory information to the brain, giving rise to the perception of pain, disorders of which are prevalent and burdensome. Here, we mapped expression quantitative trait loci (eQTLs) in a collection of human DRGs. DRG eQTLs were enriched within untranslated regions of coding genes of low abundance, with some overlapping with other brain regions and blood cell cis-eQTLs. We confirm functionality of identified eQTLs through their significant enrichment within open chromatin and highly deleterious SNPs, particularly at the exon level, suggesting substantial contribution of eQTLs to alternative splicing regulation...
May 30, 2017: Cell Reports
https://www.readbyqxmd.com/read/28553958/polygenic-burdens-on-cell-specific-pathways-underlie-the-risk-of-rheumatoid-arthritis
#14
Kazuyoshi Ishigaki, Yuta Kochi, Akari Suzuki, Yumi Tsuchida, Haruka Tsuchiya, Shuji Sumitomo, Kensuke Yamaguchi, Yasuo Nagafuchi, Shinichiro Nakachi, Rika Kato, Keiichi Sakurai, Hirofumi Shoda, Katsunori Ikari, Atsuo Taniguchi, Hisashi Yamanaka, Fuyuki Miya, Tatsuhiko Tsunoda, Yukinori Okada, Yukihide Momozawa, Yoichiro Kamatani, Ryo Yamada, Michiaki Kubo, Keishi Fujio, Kazuhiko Yamamoto
Recent evidence suggests that a substantial portion of complex disease risk alleles modify gene expression in a cell-specific manner. To identify candidate causal genes and biological pathways of immune-related complex diseases, we conducted expression quantitative trait loci (eQTL) analysis on five subsets of immune cells (CD4(+) T cells, CD8(+) T cells, B cells, natural killer (NK) cells and monocytes) and unfractionated peripheral blood from 105 healthy Japanese volunteers. We developed a three-step analytical pipeline comprising (i) prediction of individual gene expression using our eQTL database and public epigenomic data, (ii) gene-level association analysis and (iii) prediction of cell-specific pathway activity by integrating the direction of eQTL effects...
May 29, 2017: Nature Genetics
https://www.readbyqxmd.com/read/28552732/integrating-genome-wide-association-study-and-expression-quantitative-trait-loci-data-identifies-multiple-genes-and-gene-set-associated-with-neuroticism
#15
Qianrui Fan, Wenyu Wang, Jingcan Hao, Awen He, Yan Wen, Xiong Guo, Cuiyan Wu, Yujie Ning, Xi Wang, Sen Wang, Feng Zhang
Neuroticism is a fundamental personality trait with significant genetic determinant. To identify novel susceptibility genes for neuroticism, we conducted an integrative analysis of genomic and transcriptomic data of genome wide association study (GWAS) and expression quantitative trait locus (eQTL) study. GWAS summary data was driven from published studies of neuroticism, totally involving 170,906 subjects. eQTL dataset containing 927,753 eQTLs were obtained from an eQTL meta-analysis of 5311 samples. Integrative analysis of GWAS and eQTL data was conducted by summary data-based Mendelian randomization (SMR) analysis software...
May 25, 2017: Progress in Neuro-psychopharmacology & Biological Psychiatry
https://www.readbyqxmd.com/read/28552197/large-scale-identification-of-common-trait-and-disease-variants-affecting-gene-expression
#16
Mads Engel Hauberg, Wen Zhang, Claudia Giambartolomei, Oscar Franzén, David L Morris, Timothy J Vyse, Arno Ruusalepp, Pamela Sklar, Eric E Schadt, Johan L M Björkegren, Panos Roussos
Genome-wide association studies (GWASs) have identified a multitude of genetic loci involved with traits and diseases. However, it is often unclear which genes are affected in such loci and whether the associated genetic variants lead to increased or decreased gene function. To mitigate this, we integrated associations of common genetic variants in 57 GWASs with 24 studies of expression quantitative trait loci (eQTLs) from a broad range of tissues by using a Mendelian randomization approach. We discovered a total of 3,484 instances of gene-trait-associated changes in expression at a false-discovery rate < 0...
June 1, 2017: American Journal of Human Genetics
https://www.readbyqxmd.com/read/28528868/pleiotropic-effects-of-trait-associated-genetic-variation-on-dna-methylation-utility-for-refining-gwas-loci
#17
Eilis Hannon, Mike Weedon, Nicholas Bray, Michael O'Donovan, Jonathan Mill
Most genetic variants identified in genome-wide association studies (GWASs) of complex traits are thought to act by affecting gene regulation rather than directly altering the protein product. As a consequence, the actual genes involved in disease are not necessarily the most proximal to the associated variants. By integrating data from GWAS analyses with those from genetic studies of regulatory variation, it is possible to identify variants pleiotropically associated with both a complex trait and measures of gene regulation...
June 1, 2017: American Journal of Human Genetics
https://www.readbyqxmd.com/read/28527213/sorl1-variants-show-different-association-with-early-onset-and-late-onset-alzheimer-s-disease-risk
#18
Guiyou Liu, Jing-Yi Sun, Meiling Xu, Xiao-Yi Yang, Bao-Liang Sun
A recent study sequenced the full coding region of SORL1 in 1,255 early-onset Alzheimer's disease (EOAD) cases and 1,938 control individuals, and investigated the contribution of genetic variability in SORL1 to EOAD risk in a European cohort. This study identified six common variants and five low frequency variants in the SORL1 coding sequence. However, none of these 11 variants was significantly associated with EOAD risk after adjusting for multiple testing. We consider whether these 11 SORL1 variants identified in European EOAD contribute to late-onset Alzheimer's disease (LOAD) risk in individuals of European ancestry...
2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28515850/dissection-of-z-disc-myopalladin-gene-network-involved-in-the-development-of-restrictive-cardiomyopathy-using-system-genetics-approach
#19
Qingqing Gu, Uzmee Mendsaikhan, Zaza Khuchua, Byron C Jones, Lu Lu, Jeffrey A Towbin, Biao Xu, Enkhsaikhan Purevjav
AIM: To investigate the regulation of Myopalladin (Mypn) and identify its gene network involved in restrictive cardiomyopathy (RCM). METHODS: Gene expression values were measured in the heart of a large family of BXD recombinant inbred (RI) mice derived from C57BL/6J and DBA/2J. The proteomics data were collected from Mypn knock-in and knock-out mice. Expression quantitative trait locus (eQTL) mapping methods and gene enrichment analysis were used to identify Mypn regulation, gene pathway and co-expression networks...
April 26, 2017: World Journal of Cardiology
https://www.readbyqxmd.com/read/28506205/in-silico-pathway-analysis-and-tissue-specific-cis-eqtl-for-colorectal-cancer-gwas-risk-variants
#20
Lenora W M Loo, Mathieu Lemire, Loïc Le Marchand
BACKGROUND: Genome-wide association studies have identified 55 genetic variants associated with colorectal cancer risk to date. However, potential causal genes and pathways regulated by these risk variants remain to be characterized. Therefore, we performed gene ontology enrichment and pathway analyses to determine if there was an enrichment of genes in proximity to the colorectal cancer risk variants that could further elucidate the probable causal genes and pathways involved in colorectal cancer biology...
May 15, 2017: BMC Genomics
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