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Feng Q He, Markus Ollert
Identification of key genes for a given physiological or pathological process is an essential but still very challenging task for the entire biomedical research community. Statistics-based approaches, such as genome-wide association study (GWAS)- or quantitative trait locus (QTL)-related analysis have already made enormous contributions to identifying key genes associated with a given disease or phenotype, the success of which is however very much dependent on a huge number of samples. Recent advances in network biology, especially network inference directly from genome-scale data and the following-up network analysis, opens up new avenues to predict key genes driving a given biological process or cellular function...
October 26, 2016: Advances in Biochemical Engineering/biotechnology
Christine Langlois, Arkan Abadi, Jesus Peralta-Romero, Akram Alyass, Fernando Suarez, Jaime Gomez-Zamudio, Ana I Burguete-Garcia, Fereshteh T Yazdi, Miguel Cruz, David Meyre
Genome wide association studies (GWAS) have identified single-nucleotide polymorphisms (SNPs) that are associated with fasting plasma glucose (FPG) in adult European populations. The contribution of these SNPs to FPG in non-Europeans and children is unclear. We studied the association of 15 GWAS SNPs and a genotype score (GS) with FPG and 7 metabolic traits in 1,421 Mexican children and adolescents from Mexico City. Genotyping of the 15 SNPs was performed using TaqMan Open Array. We used multivariate linear regression models adjusted for age, sex, body mass index standard deviation score, and recruitment center...
October 26, 2016: Scientific Reports
Shuai Wang, James B Meigs, Josée Dupuis
In recent years, improved genotyping and sequencing technologies have enabled the discovery of new loci associated with various diseases or traits. For instance, by testing the association with each single-nucleotide variant (SNV) separately, genome-wide association studies (GWAS) have achieved tremendous success in identifying SNVs associated with specific traits. However, little is known about the common genetic basis of multiple traits owing to lack of efficient methods. With the use of extended quasi-likelihood, a Wald test has been proposed to perform a bivariate analysis of a continuous and a binary trait in unrelated samples...
October 26, 2016: European Journal of Human Genetics: EJHG
José A Cornejo-García, Abderrahim Oussalah, Miguel Blanca, Rosa-María Guéant-Rodríguez, Cristobalina Mayorga, Julie Waton, Annick Barbaud, Francesco Gaeta, Antonino Romano, Jean-Louis Guéant
Our knowledge of genetic predisposing factors of drug hypersensitivity reactions (DHRs) is still scarce. The analysis of the genetic basis of these reactions may contribute to dissect the underlying mechanisms. We will outline current knowledge of the genetic predictors of most common DHRs, including reactions to betalactam antibiotics (BLs), nonsteroidal anti-inflammatory drugs (NSAIDs) and biological agents. The predictors of DHRs to BLs are mostly linked to IgE-class switching, IgE pathway and atopy (IL4R, NOD2, LGALS3) in replicated candidate gene studies, and to antigen presentation (HLA-DRA) in the single replicated GWAS performed so far...
September 27, 2016: Current Pharmaceutical Design
Lianghua Bin, Donald Y M Leung
BACKGROUND: Atopic dermatitis (AD) is a chronic inflammatory disease caused by the complex interaction of genetic, immune and environmental factors. There have many recent discoveries involving the genetic and epigenetic studies of AD. METHODS: A retrospective PubMed search was carried out from June 2009 to June 2016 using the terms "atopic dermatitis", "association", "eczema", "gene", "polymorphism", "mutation", "variant", "genome wide association study", "microarray" "gene profiling", "RNA sequencing", "epigenetics" and "microRNA"...
2016: Allergy, Asthma, and Clinical Immunology
M-L Wong, M Arcos-Burgos, S Liu, J I Vélez, C Yu, B T Baune, M C Jawahar, V Arolt, U Dannlowski, A Chuah, G A Huttley, R Fogarty, M D Lewis, S R Bornstein, J Licinio
Major depressive disorder (MDD) affects around 350 million people worldwide; however, the underlying genetic basis remains largely unknown. In this study, we took into account that MDD is a gene-environment disorder, in which stress is a critical component, and used whole-genome screening of functional variants to investigate the 'missing heritability' in MDD. Genome-wide association studies (GWAS) using single- and multi-locus linear mixed-effect models were performed in a Los Angeles Mexican-American cohort (196 controls, 203 MDD) and in a replication European-ancestry cohort (499 controls, 473 MDD)...
October 25, 2016: Molecular Psychiatry
Xinyang Li, Jun Shen, Zhihua Ran
Inflammatory bowel disease (IBD) is an autoimmune disorder characterized by chronic, relapsing intestinal inflammation. Autoimmune liver disease (AILD) may be involved in IBD as an extra-intestinal manifestation (EIM). Epidemiologic and anatomic evidence have demonstrated an intimate crosstalk between the gut and the liver. In this review, we briefly introduced nine groups of susceptibility loci shared by inflammatory bowel and autoimmune liver disease for the first time. The genome-wide association studies (GWAS) evidence of pathways involving crosstalk between the gut and the liver is clarified and explained...
October 21, 2016: Clinical Immunology: the Official Journal of the Clinical Immunology Society
Sergey V Malov, Alexey Antonik, Minzhong Tang, Alexandre Berred, Yi Zeng, Stephen J O'Brien
A new approach for statistical association signal identification is developed in this paper. We consider a strategy for nonprecise signal identification by extending the well-known signal detection and signal identification methods applicable to the multiple testing problem. Collection of statistical instruments under the presented approach is much broader than under the traditional signal identification methods, allowing more efficient signal discovery. Further assessments of maximal value and average statistics in signal discovery are improved...
October 24, 2016: Biometrical Journal. Biometrische Zeitschrift
Hillary T Graham, Daniel M Rotroff, Skylar W Marvel, John B Buse, Tammy M Havener, Alyson G Wilson, Michael J Wagner, Alison A Motsinger-Reif
Given the high costs of conducting a drug-response trial, researchers are now aiming to use retrospective analyses to conduct genome-wide association studies (GWAS) to identify underlying genetic contributions to drug-response variation. To prevent confounding results from a GWAS to investigate drug response, it is necessary to account for concomitant medications, defined as any medication taken concurrently with the primary medication being investigated. We use data from the Action to Control Cardiovascular Disease (ACCORD) trial in order to implement a novel scoring procedure for incorporating concomitant medication information into a linear regression model in preparation for GWAS...
2016: Frontiers in Genetics
Sohee Oh, Iksoo Huh, Seung Yeoun Lee, Taesung Park
Most genome-wide association studies (GWAS) have been conducted by focusing on one phenotype of interest for identifying genetic variants associated with common complex phenotypes. However, despite many successful results from GWAS, only a small number of genetic variants tend to be identified and replicated given a very stringent genome-wide significance criterion, and explain only a small fraction of phenotype heritability. In order to improve power by using more information from data, we propose an alternative multivariate approach, which considers multiple related phenotypes simultaneously...
September 9, 2016: Journal of Bioinformatics and Computational Biology
M H Kuniholm, X Xie, K Anastos, X Xue, L Reimers, A L French, S J Gange, S G Kassaye, A Kovacs, T Wang, B E Aouizerat, H D Strickler
Human leucocyte antigen (HLA) genes play a central role in response to pathogens and in autoimmunity. Research to understand the effects of HLA genes on health has been limited because HLA genotyping protocols are labour intensive and expensive. Recently, algorithms to impute HLA genotype data using genome-wide association study (GWAS) data have been published. However, imputation accuracy for most of these algorithms was based primarily on training data sets of European ancestry individuals. We considered performance of two HLA-dedicated imputation algorithms - SNP2HLA and HIBAG - in a multiracial population of n = 1587 women with HLA genotyping data by gold standard methods...
October 24, 2016: International Journal of Immunogenetics
Anatoliy I Yashin, Konstantin G Arbeev, Deqing Wu, Liubov Arbeeva, Alexander Kulminski, Irina Kulminskaya, Igor Akushevich, Svetlana V Ukraintseva
BACKGROUND AND OBJECTIVE: To clarify mechanisms of genetic regulation of human aging and longevity traits, a number of genome-wide association studies (GWAS) of these traits have been performed. However, the results of these analyses did not meet expectations of the researchers. Most detected genetic associations have not reached a genome-wide level of statistical significance, and suffered from the lack of replication in the studies of independent populations. The reasons for slow progress in this research area include low efficiency of statistical methods used in data analyses, genetic heterogeneity of aging and longevity related traits, possibility of pleiotropic (e...
2016: North American Actuarial Journal: NAAJ
Hee Kim Dong, Jeong-An Gim, Seung Hyeon Yeo, Heui-Soo Kim
Late onset Alzheimer's disease (LOAD) is the most common type of dementia and is characterized by decreased amyloid-β (Aβ) clearance from the brain. Cholesterol regulates the production and clearance of Aβ. Genome-wide association study (GWAS) suggests that at least 20 genes are associated with LOAD. The genes APOE, CLU, SORL1, PICALM, and BIN1 have a relatively high LOAD susceptibility. Additional experimental and bioinformatic approaches to integrate data from genetics, epigenetics, and molecular networks may further increase our understanding of LOAD in relation to cholesterol metabolism and trafficking...
October 20, 2016: Gene
Adam M Leventhal, Matthew G Kirkpatrick, Mollie S Pester, John E McGeary, Robert M Swift, Steve Sussman, Christopher W Kahler
RATIONALE: A previous genome-wide association study (GWAS) in a predominately Caucasian sample of healthy young adults linked greater amphetamine-induced rewarding effects with the rs3784943 G allele of the cadherin 13 (CDH13; i.e., a cell adhesion molecule implicated in neuronal connectivity) gene. This association has not been subsequently examined, nor has it been studied in Asian populations, which may have greater frequencies of the risk allele. OBJECTIVE: The objective of this study was to examine the association of rs3784943 with amphetamine response in a racially heterogeneous sample (37 % Asian) of healthy young adults...
October 22, 2016: Psychopharmacology
Jesse Mez, Jaeyoon Chung, Gyungah Jun, Joshua Kriegel, Alexandra P Bourlas, Richard Sherva, Mark W Logue, Lisa L Barnes, David A Bennett, Joseph D Buxbaum, Goldie S Byrd, Paul K Crane, Nilüfer Ertekin-Taner, Denis Evans, M Daniele Fallin, Tatiana Foroud, Alison Goate, Neill R Graff-Radford, Kathleen S Hall, M Ilyas Kamboh, Walter A Kukull, Eric B Larson, Jennifer J Manly, Jonathan L Haines, Richard Mayeux, Margaret A Pericak-Vance, Gerard D Schellenberg, Kathryn L Lunetta, Lindsay A Farrer
INTRODUCTION: African Americans' (AAs) late-onset Alzheimer's disease (LOAD) genetic risk profile is incompletely understood. Including clinical covariates in genetic analyses using informed conditioning might improve study power. METHODS: We conducted a genome-wide association study (GWAS) in AAs employing informed conditioning in 1825 LOAD cases and 3784 cognitively normal controls. We derived a posterior liability conditioned on age, sex, diabetes status, current smoking status, educational attainment, and affection status, with parameters informed by external prevalence information...
October 19, 2016: Alzheimer's & Dementia: the Journal of the Alzheimer's Association
Riin Tamm, Reedik Mägi, Roman Tremmel, Stefan Winter, Evelin Mihailov, Alenka Smid, Anja Möricke, Kathrin Klein, Martin Schrappe, Martin Stanulla, Richard Houlston, Richard Weinshilboum, Irena Mlinarič Raščan, Andres Metspalu, Lili Milani, Matthias Schwab, Elke Schaeffeler
Thiopurine-related hematotoxicity in paediatric acute lymphoblastic leukemia (ALL) and inflammatory bowel diseases has been linked to genetically defined variability in thiopurine S-methyltransferase (TPMT) activity. While gene testing of TPMT is being clinically implemented, it is unclear if additional genetic variation influences TPMT activity with consequences for thiopurine-related toxicity. To examine this possibility, we performed a genome-wide association study (GWAS) of red blood cell TPMT activity in 844 Estonian individuals and 245 paediatric ALL-cases...
October 22, 2016: Clinical Pharmacology and Therapeutics
Jong Wha J Joo, Eun Yong Kang, Elin Org, Nick Furlotte, Brian Parks, Farhad Hormozdiari, Aldons J Lusis, Eleazar Eskin
A typical GWAS tests correlation between a single phenotype and each genotype one at a time. However, single phenotype analysis might miss unmeasured aspects of complex biological networks. Analyzing many phenotypes simultaneously may increase the power to capture these unmeasured aspects and detect more variants. Several multivariate approaches aim to detect variants related to more than one phenotype, but these current approaches do not consider the effects of population structure. As a result, these approaches may result in a significant amount of false positive identifications...
October 21, 2016: Genetics
Hongwu Wang, Kun Li, Xiaojiao Hu, Zhifang Liu, Yujin Wu, Changling Huang
BACKGROUND: Plant digestibility of silage maize (Zea mays L.) has a large influence on nutrition intake for animal feeding. Improving forage quality will enhance the utilization efficiency and feeding value of forage maize. Dissecting the genetic basis of forage quality will improve our understanding of the complex nature of cell wall biosynthesis and degradation, which is also helpful for breeding good quality silage maize. RESULTS: Acid detergent fiber (ADF), neutral detergent fiber (NDF) and in vitro dry matter digestibility (IVDMD) of stalk were evaluated in a diverse maize population, which is comprised of 368 inbred lines and planted across seven environments...
October 21, 2016: BMC Plant Biology
Chunwen Tan, Wangxiong Hu, Yanqin Huang, Jiaojiao Zhou, Shu Zheng
BACKGROUND: Recent genome-wide association studies (GWAS) identified eighteen single-nucleotide polymorphisms (SNPs) to be significantly associated with the risk of colorectal cancer (CRC). However, overall results of the following replications are inconsistent and little is known about whether these associations also exit in colorectal adenomas (CRA). METHODS: The SNP genotyping was performed using a Sequenom MassARRAY to investigate the association of these eighteen SNPs with colorectal neoplasm in a case-control study consisted of 1049 colorectal cancers, 283 adenomas, and 1030 controls...
October 19, 2016: Oncotarget
Si Chen, Xiaoting Wen, Jing Li, Yuan Li, Liubing Li, Xinping Tian, Hui Yuan, Fengchun Zhang, Yongzhe Li
Takayasu arteritis (TA) is a chronic large-vessel vasculitis of unclear pathogenesis. A recent genome-wide association study (GWAS) has revealed that the FCGR2A/FCGR3A, EEFSEC, RPS9/LILRB3, RIPPLY2 and MLX genes confer susceptibility to TA. We investigated the linkage between presumptive TA-related genes (FCGR2A/FCGR3A, EEFSEC, RPS9/LILRB3, RIPPLY2 and MLX) and TA in the Han Chinese population. We performed a large case-control multi-center study of 412 Han Chinese TA patients and 597 ethnically matched healthy controls...
October 18, 2016: Oncotarget
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