Search Results - "OTT, JURG"

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  1. 1

    Machine learning approaches to explore digenic inheritance by Okazaki, Atsuko, Ott, Jurg

    Published in Trends in genetics (01-10-2022)
    “…Some rare genetic disorders, such as retinitis pigmentosa or Alport syndrome, are caused by the co-inheritance of DNA variants at two different genetic loci…”
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  2. 2

    Genetic linkage analysis in the age of whole-genome sequencing by Ott, Jurg, Wang, Jing, Leal, Suzanne M.

    Published in Nature reviews. Genetics (01-05-2015)
    “…Key Points Genetic linkage analysis can be used as a tool for estimating the genetic distance between two loci. In family data, a small recombination fraction…”
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    Population genetics: past, present, and future by Okazaki, Atsuko, Yamazaki, Satoru, Inoue, Ituro, Ott, Jurg

    Published in Human genetics (01-02-2021)
    “…We present selected topics of population genetics and molecular phylogeny. As several excellent review articles have been published and generally focus on…”
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  5. 5

    Analyses of polymorphisms of intron 2 of OPRK1 (kappa-opioid receptor gene) in association with opioid and cocaine dependence diagnoses in an African-American population by Yuferov, Vadim, Butelman, Eduardo R., Randesi, Matthew, Ott, Jürg, Kreek, Mary Jeanne

    Published in Neuroscience letters (18-01-2022)
    “…•The kappa-opioid receptor (KOR)/dynorphin system is regulated by stress and heavy exposure to drugs including opioid and cocaine.•Activation of the KOR system…”
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    A multi-threaded approach to genotype pattern mining for detecting digenic disease genes by Zhang, Qingrun, Bhatia, Muskan, Park, Taesung, Ott, Jurg

    Published in Frontiers in genetics (24-08-2023)
    “…To locate disease-causing DNA variants on the human gene map, the customary approach has been to carry out a genome-wide association study for one variant…”
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    Implication of Melanocortin Receptor Genes in the Familial Comorbidity of Type 2 Diabetes and Depression by Amin, Mutaz, Ott, Jurg, Wu, Rongling, Postolache, Teodor T., Gragnoli, Claudia

    “…The melanocortin receptors are G-protein-coupled receptors, which are essential components of the hypothalamic–pituitary–adrenal axis, and they mediate the…”
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  8. 8

    A 3' UTR SNP rs885863, a cis-eQTL for the circadian gene VIPR2 and lincRNA 689, is associated with opioid addiction by Levran, Orna, Randesi, Matthew, Rotrosen, John, Ott, Jurg, Adelson, Miriam, Kreek, Mary Jeanne

    Published in PloS one (05-11-2019)
    “…There is a reciprocal relationship between the circadian and the reward systems. Polymorphisms in several circadian rhythm-related (clock) genes were…”
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  9. 9

    AprioriGWAS, a new pattern mining strategy for detecting genetic variants associated with disease through interaction effects by Zhang, Qingrun, Long, Quan, Ott, Jurg

    Published in PLoS computational biology (01-06-2014)
    “…Identifying gene-gene interaction is a hot topic in genome wide association studies. Two fundamental challenges are: (1) how to smartly identify combinations…”
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  10. 10

    Comorbidity of Novel CRHR2 Gene Variants in Type 2 Diabetes and Depression by Amin, Mutaz, Ott, Jurg, Gordon, Derek, Wu, Rongling, Postolache, Teodor T., Vergare, Michael, Gragnoli, Claudia

    “…The corticotropin-releasing hormone receptor 2 (CRHR2) gene encodes CRHR2, contributing to the hypothalamic–pituitary–adrenal stress response and to…”
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    Mathematical multi-locus approaches to localizing complex human trait genes by Ott, Jurg, Hoh, Josephine

    Published in Nature reviews. Genetics (01-09-2003)
    “…Statistical analysis methods for gene mapping originated in counting recombinant and non-recombinant offspring, but have now progressed to sophisticated…”
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    Distribution and characterization of regulatory elements in the human genome by Majewski, Jacek, Ott, Jurg

    Published in Genome research (01-12-2002)
    “…The regulation of transcription and subsequent gene splicing are crucial to correct gene expression. Although a number of regulatory sequences involved in both…”
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    Genotype Pattern Mining for Pairs of Interacting Variants Underlying Digenic Traits by Okazaki, Atsuko, Horpaopan, Sukanya, Zhang, Qingrun, Randesi, Matthew, Ott, Jurg

    Published in Genes (28-07-2021)
    “…Some genetic diseases ("digenic traits") are due to the interaction between two DNA variants, which presumably reflects biochemical interactions. For example,…”
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  16. 16

    Re-evaluation of the KMSK scales, rapid dimensional measures of self-exposure to specific drugs: Gender-specific features by Butelman, Eduardo R., Chen, Carina Y., Fry, Rebecca S., Kimani, Rachel, Levran, Orna, Ott, Jürg, Correa da Rosa, Joel, Kreek, Mary Jeanne

    Published in Drug and alcohol dependence (01-09-2018)
    “…•KMSK scales for cannabis, alcohol, cocaine and heroin are rapidly administered.•KMSK scales provide a dimensional measure of maximal self-exposure to each…”
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    Genome-wide association scan in north Indians reveals three novel HLA-independent risk loci for ulcerative colitis by Juyal, Garima, Negi, Sapna, Sood, Ajit, Gupta, Aditi, Prasad, Pushplata, Senapati, Sabyasachi, Zaneveld, Jacques, Singh, Shalini, Midha, Vandana, van Sommeren, Suzanne, Weersma, Rinse K, Ott, Jurg, Jain, Sanjay, Juyal, Ramesh C, Thelma, B K

    Published in Gut (01-04-2015)
    “…Over 100 ulcerative colitis (UC) loci have been identified by genome-wide association studies (GWASs) primarily in Caucasians (CEUs). Many of them have weak…”
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    Drug Addiction and Stress‐Response Genetic Variability: Association Study in African Americans by Levran, Orna, Randesi, Matthew, Li, Yi, Rotrosen, John, Ott, Jurg, Adelson, Miriam, Jeanne Kreek, Mary

    Published in Annals of human genetics (01-07-2014)
    “…Summary Stress is a significant risk factor in the development of drug addictions and in addiction relapse susceptibility. This hypothesis‐driven study was…”
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  20. 20

    Multilocus association mapping using generalized ridge logistic regression by Liu, Zhe, Shen, Yuanyuan, Ott, Jurg

    Published in BMC bioinformatics (29-09-2011)
    “…In genome-wide association studies, it is widely accepted that multilocus methods are more powerful than testing single-nucleotide polymorphisms (SNPs) one at…”
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