Blar i St. Olavs hospital på tidsskrift "Cell Genomics"

Viser treff 1-5 av 5

    • Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts 

      Wang, Ying; Lopera, Esteban; Namba, Shinichi; Kerminen, Sini; Tsuo, Kristin; Läll, Kristi; Kanai, Masahiro; Zhou, Wei; Wu, Kuan-Han; Favé, Marie-Julie; Bhatta, Laxmi; Awadalla, Philip; Brumpton, Ben Michael; Deelen, Patrick; Hveem, Kristian; Faro, Valeria Lo; Mägi, Reedik; Murakami, Yoshinori; Sanna, Serena; Smoller, Jordan W.; Uzunovic, Jasmina; Wolford, Brooke N.; GBMI, .; Willer, Cristen; Gamazon, Eric R.; Cox, Nancy J.; Surakka, Ida; Okada, Yukinori; Martin, Alicia R.; Hirbo, Jibril B. (Peer reviewed; Journal article, 2023)
      Polygenic risk scores (PRSs) have been widely explored in precision medicine. However, few studies have thoroughly investigated their best practices in global populations across different diseases. We here utilized data ...

    • The HUNT study: A population-based cohort for genetic research 

      Brumpton, Ben Michael; Graham, Sarah; Surakka, Ida; Skogholt, Anne Heidi; Løset, Mari; Fritsche, Lars G.; Wolford, Brooke; Zhou, Wei; Nielsen, Jonas Bille; Holmen, Oddgeir Lingaas; Gabrielsen, Maiken Elvestad; Thomas, Laurent; Bhatta, Laxmi; Rasheed, Humaira; Zhang, He; Kang, Hyun Min; Hornsby, Whitney; Moksnes, Marta Riise; Coward, Eivind; Melbye, Mads; Giskeødegård, Guro F.; Fenstad, Jørn; Krokstad, Steinar; Næss, Marit; Langhammer, Arnulf; Boehnke, Michael; Abecasis, Gonçalo R.; Åsvold, Bjørn Olav; Hveem, Kristian; Willer, Cristen J. (Peer reviewed; Journal article, 2022)
      The Trøndelag Health Study (HUNT) is a population-based cohort of ∼229,000 individuals recruited in four waves beginning in 1984 in Trøndelag County, Norway. Approximately 88,000 of these individuals have available genetic ...

    • Identification of a regulatory pathway governing TRAF1 via an arthritis-associated non-coding variant 

      Wang, Qiang; Martínez-Bonet, Marta; Kim, Taehyeung; Sparks, Jeffrey A.; Ishigaki, Kazuyoshi; Chen, Xiaoting; Sudman, Marc; Aguiar, Vitor; Sim, Sangwan; Hernandez, Marcos Chiñas; Chiu, Darren J.; Wactor, Alexandra; Wauford, Brian; Marion, Miranda C.; Gutierrez-Arcelus, Maria; Bowes, John; Eyre, Stephen; Nordal, Ellen Berit; Prahalad, Sampath; Rygg, Marite; Videm, Vibeke; Raychaudhuri, Soumya; Weirauch, Matthew T.; Langefeld, Carl D.; Thompson, Susan D.; Nigrovic, Peter A. (Peer reviewed; Journal article, 2023)
      TRAF1/C5 was among the first loci shown to confer risk for inflammatory arthritis in the absence of an associated coding variant, but its genetic mechanism remains undefined. Using Immunochip data from 3,939 patients with ...

    • Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries 

      Surakka, Ida; Wu, Kuan-Han; Hornsby, Whitney; Wolford, Brooke N.; Shen, Fred; Zhou, Wei; Huffman, Jennifer E.; Pandit, Anita; Hu, Yao; Brumpton, Ben Michael; Skogholt, Anne Heidi; Gabrielsen, Maiken Elvestad; Walters, Robin G.; Hveem, Kristian; Kooperberg, Charles; Zöllner, Sebastian; Wilson, Peter W.F.; Sutton, Nadia R.; Daly, Mark J.; Neale, Benjamin M.; Willer, Cristen J. (Peer reviewed; Journal article, 2023)
      Stroke is the second leading cause of death and disability worldwide. Stroke prevalence varies by sex and ancestry, possibly due to genetic heterogeneity between subgroups. We performed a genome-wide meta-analysis of 16 ...

    • Proteome-wide Mendelian randomization in global biobank meta-analysis reveals multi-ancestry drug targets for common diseases 

      Zhao, Huiling; Rasheed, Humaria; Nøst, Therese Haugdahl; Cho, Yoonsu; Liu, Yi; Bhatta, Laxmi; Bhattacharya, Arjun; Hemani, Gibran; Davey Smith, George; Brumpton, Ben Michael; Zhou, Wei; Neale, Benjamin M.; Gaunt, Tom R.; Zheng, Jie (Peer reviewed; Journal article, 2022)
      Proteome-wide Mendelian randomization (MR) shows value in prioritizing drug targets in Europeans but with limited evidence in other ancestries. Here, we present a multi-ancestry proteome-wide MR analysis based on ...