Browsing by Subject "Endophenotype"

Now showing 1 - 4 of 4
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    Genetic Correlation between Alcohol Preference and Motor Impulsivity with Genetically Selected High-Alcohol and Low-Alcohol Preferring Lines of Mice
    (2012-09-20) Novotney, Devon Michael; Grahame, Nicholas J.; Czachowski, Cristine; Boehm II, Stephen L.
    Alcohol related problems and abuse continue to be serious problems in the U.S. today affecting nearly 17.6 million Americans. Understanding of the specific genes and related behaviors associated with alcohol use may provide substantial preventative measures for those who are at an increased risk. Genetically selected lines such as the high-alcohol preferring (HAP) and low-alcohol preferring (LAP) mice have been created to examine which endophenotypes co-segregate with alcohol preference. One behavioral trait that has been commonly associated with alcohol related problems is impulsivity. Impulsivity is the inability to withhold a response (motor impulsivity) or to act without forethought (cognitive impulsivity). The latter comprises much of the research and literature today using delay discounting models to tease out differences in subject’s wiliness to discount larger reinforcers for smaller immediate reinforcers. This study utilized relatively two newer paradigms associated with motor impulsivity in attempt to test differences in response disinhibition between two independent replicate HAP and LAP lines. It is hypothesized that the genes responsible for alcohol preference would be genetically correlated with motor impulsivity as HAP mice would display a greater degree of response disinhibition. Two independent replicates consisting of 48 mice (24 HAP II and 24 LAP II, representing the 37th generation; 24 HAP III and 24 LAP III, representing the 13th generation) were tested in two separate identical experiments. Each experiment was comprised of three phases. Phase I utilized a fixed interval (FI) 120s procedure for 30 days. After the 30 days of FI exposure mice were immediately moved to phase II for 10 days which implored a differential reinforcement of low rate procedure (DRL) at a time interval of 20s. Phase III used the same procedures as Phase II except the DRL was increased to 32s. As hypothesized, there was a moderate genetic correlation between alcohol preference and impulsivity as the HAP II mice displayed greater response disinhibition throughout all three phases compared to the LAP II mice. No differences were observed amongst the replicate III mice in any of the three phases. The findings from this study provide additional support that a genetic correlation between alcohol preference and impulsivity exists as seen in the delay discounting literature. Though this was observed in only one of the two replicates, interpretations must be taken at caution as the replicate III mice are still in the early stages of selection. It is possible at this stage in the selection process that increases in alcohol over successive generations are associated with selecting for taste until a threshold is met where selection shifts to pharmacologic drinking relevance. Until later generations of replicate III mice are studied where pharmacologic drinking occurs, conclusions from this study provide a moderate genetic correlation between alcohol preference and impulsivity.
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    Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept
    (SpringerNature, 2016-03) Franke, Barbara; Stein, Jason L.; Ripke, Stephan; Anttila, Verneri; Hibar, Derrek P.; van Hulzen, Kimm J.; Arias-Vasquez, Alejandro; Smoller, Jordan W.; Nichols, Thomas E.; Neale, Michael C.; McIntosh, Andrew M.; Lee, Phil; McMahon, Francis J.; Meyer-Lindenberg, Andreas; Mattheisen, Manuel; Andreassen, Ole A.; Gruber, Oliver; Sachdev, Perminder S.; Roiz-Santiañez, Roberto; Saykin, Andrew J.; Ehrlich, Stefan; Mather, Karen A.; Turner, Jessica A.; Schwarz, Emanuel; Thalamuthu, Anbupalam; Shugart, Yin Yao; Ho, Yvonne Y.W.; Martin, Nicholas G.; Wright, Margaret J.; O'Donovan, Michael C.; Thompson, Paul M.; Neale, Benjamin M.; Medland, Sarah E.; Sullivan, Patrick F.; Department of Medical and Molecular Genetics, IU School of Medicine
    Schizophrenia is a devastating psychiatric illness with high heritability. Brain structure and function differ, on average, between people with schizophrenia and healthy individuals. As common genetic associations are emerging for both schizophrenia and brain imaging phenotypes, we can now use genome-wide data to investigate genetic overlap. Here we integrated results from common variant studies of schizophrenia (33,636 cases, 43,008 controls) and volumes of several (mainly subcortical) brain structures (11,840 subjects). We did not find evidence of genetic overlap between schizophrenia risk and subcortical volume measures either at the level of common variant genetic architecture or for single genetic markers. These results provide a proof of concept (albeit based on a limited set of structural brain measures) and define a roadmap for future studies investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders.
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    A genome wide association study of fast beta EEG in families of European ancestry
    (Elsevier, 2017-05) Meyers, Jacquelyn L.; Zhang, Jian; Manz, Niklas; Rangaswamy, Madhavi; Kamarajan, Chella; Wetherill, Leah; Chorlian, David B.; Kang, Sun J.; Bauer, Lance; Hesselbrock, Victor; Kramer, John; Kuperman, Samuel; Nurnberger, John I., Jr.; Tischfield, Jay; Wang, Jen Chyong; Edenberg, Howard J.; Goate, Alison; Foroud, Tatiana; Porjesz, Bernice; Medical and Molecular Genetics, School of Medicine
    BACKGROUND: Differences in fast beta (20-28Hz) electroencephalogram (EEG) oscillatory activity distinguish some individuals with psychiatric and substance use disorders, suggesting that it may be a useful endophenotype for studying the genetics of disorders characterized by neural hyper-excitability. Despite the high heritability estimates provided by twin and family studies, there have been relatively few genetic studies of beta EEG, and to date only one genetic association finding has replicated (i.e., GABRA2). METHOD: In a sample of 1564 individuals from 117 families of European Ancestry (EA) drawn from the Collaborative Study on the Genetics of Alcoholism (COGA), we performed a Genome-Wide Association Study (GWAS) on resting-state fronto-central fast beta EEG power, adjusting regression models for family relatedness, age, sex, and ancestry. To further characterize genetic findings, we examined the functional and behavioral significance of GWAS findings. RESULTS: Three intronic variants located within DSE (dermatan sulfate epimerase) on 6q22 were associated with fast beta EEG at a genome wide significant level (p<5×10-8). The most significant SNP was rs2252790 (p<2.6×10-8; MAF=0.36; β=0.135). rs2252790 is an eQTL for ROS1 expressed most robustly in the temporal cortex (p=1.2×10-6) and for DSE/TSPYL4 expressed most robustly in the hippocampus (p=7.3×10-4; β=0.29). Previous studies have indicated that DSE is involved in a network of genes integral to membrane organization; gene-based tests indicated that several variants within this network (i.e., DSE, ZEB2, RND3, MCTP1, and CTBP2) were also associated with beta EEG (empirical p<0.05), and of these genes, ZEB2 and CTBP2 were associated with DSM-V Alcohol Use Disorder (AUD; empirical p<0.05).' DISCUSSION: In this sample of EA families enriched for AUDs, fast beta EEG is associated with variants within DSE on 6q22; the most significant SNP influences the mRNA expression of DSE and ROS1 in hippocampus and temporal cortex, brain regions important for beta EEG activity. Gene-based tests suggest evidence of association with related genes, ZEB2, RND3, MCTP1, CTBP2, and beta EEG. Converging data from GWAS, gene expression, and gene-networks presented in this study provide support for the role of genetic variants within DSE and related genes in neural hyperexcitability, and has highlighted two potential candidate genes for AUD and/or related neurological conditions: ZEB2 and CTBP2. However, results must be replicated in large, independent samples.
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    Genome-wide association study identifies four novel loci associated with Alzheimer's endophenotypes and disease modifiers
    (Springer Verlag, 2017-05) Deming, Yuetiva; Li, Zeran; Kapoor, Manav; Harari, Oscar; Del-Aguila, Jorge L.; Black, Kathleen; Carrell, David; Cai, Yefei; Fernandez, Maria Victoria; Budde, John; Ma, Shengmei; Saef, Benjamin; Howells, Bill; Huang, Kuanlin; Bertelsen, Sarah; Fagan, Anne M.; Holtzman, David M.; Morris, John C.; Kim, Sungeun; Saykin, Andrew J.; De Jager, Philip L.; Albert, Marilyn; Moghekar, Abhay; O’Brien, Richard; Riemenschneider, Matthias; Petersen, Ronald C.; Blennow, Kaj; Zetterberg, Henrik; Minthon, Lennart; Van Deerlin, Vivianna M.; Lee, Virginia Man-Yee; Shaw, Leslie M.; Trojanowski, John Q.; Schellenberg, Gerard; Haines, Jonathan L.; Mayeux, Richard; Pericak-Vance, Margaret A.; Farrer, Lindsay A.; Peskind, Elaine R.; Li, Ge; Di Narzo, Antonio F.; Alzheimer’s Disease Neuroimaging Initiative (ADGC). The Alzheimer Disease Genetic Consortium (ADGC); Kauwe, John S. K.; Goate, Alison M.; Cruchaga, Carlos; Medicine, School of Medicine
    More than 20 genetic loci have been associated with risk for Alzheimer's disease (AD), but reported genome-wide significant loci do not account for all the estimated heritability and provide little information about underlying biological mechanisms. Genetic studies using intermediate quantitative traits such as biomarkers, or endophenotypes, benefit from increased statistical power to identify variants that may not pass the stringent multiple test correction in case-control studies. Endophenotypes also contain additional information helpful for identifying variants and genes associated with other aspects of disease, such as rate of progression or onset, and provide context to interpret the results from genome-wide association studies (GWAS). We conducted GWAS of amyloid beta (Aβ42), tau, and phosphorylated tau (ptau181) levels in cerebrospinal fluid (CSF) from 3146 participants across nine studies to identify novel variants associated with AD. Five genome-wide significant loci (two novel) were associated with ptau181, including loci that have also been associated with AD risk or brain-related phenotypes. Two novel loci associated with Aβ42 near GLIS1 on 1p32.3 (β = -0.059, P = 2.08 × 10-8) and within SERPINB1 on 6p25 (β = -0.025, P = 1.72 × 10-8) were also associated with AD risk (GLIS1: OR = 1.105, P = 3.43 × 10-2), disease progression (GLIS1: β = 0.277, P = 1.92 × 10-2), and age at onset (SERPINB1: β = 0.043, P = 4.62 × 10-3). Bioinformatics indicate that the intronic SERPINB1 variant (rs316341) affects expression of SERPINB1 in various tissues, including the hippocampus, suggesting that SERPINB1 influences AD through an Aβ-associated mechanism. Analyses of known AD risk loci suggest CLU and FERMT2 may influence CSF Aβ42 (P = 0.001 and P = 0.009, respectively) and the INPP5D locus may affect ptau181 levels (P = 0.009); larger studies are necessary to verify these results. Together the findings from this study can be used to inform future AD studies.