rs10160518 - EMSY - LINC02757

Magnitude 2.8 · 3 studies on file

Reported associations

  • A cross-population atlas of genetic associations for 220 human phenotypes. - Nature genetics (2021) · Sakaue S, Kanai M, Tanigawa Y, Karjalainen J, Kurki M, Koshiba S, Narita A, Konuma T, Yamamoto K, Akiyama M, Ishigaki K, Suzuki A, Suzuki K, Obara W, Yamaji K, Takahashi K, Asai S, Takahashi Y, Suzuki T, Shinozaki N, Yamaguchi H, Minami S, Murayama S, Yoshimori K, Nagayama S, Obata D, Higashiyama M, Masumoto A, Koretsune Y, Ito K, Terao C, Yamauchi T, Komuro I, Kadowaki T, Tamiya G, Yamamoto M, Nakamura Y, Kubo M, Murakami Y, Yamamoto K, Kamatani Y, Palotie A, Rivas MA, Daly MJ, Matsuda K, Okada Y · PubMed 34594039

    Current genome-wide association studies do not yet capture sufficient diversity in populations and scope of phenotypes. To expand an atlas of genetic associations in non-European populations, we conducted 220 deep-phenotype genome-wide association studies (diseases, biomarkers and medication usage) in BioBank Japan (n = 179,000), by incorporating past medical history and text-mining of electronic medical records. Meta-analyses with the UK Biobank and FinnGen (n = 628,000) identified ~5,000 new loci, which improved the resolution of the genomic map of human traits. This atlas elucidated the landscape of pleiotropy as represented by the major histocompatibility complex locus, where we conducted HLA fine-mapping. Finally, we performed statistical decomposition of matrices of phenome-wid

  • A large-scale genetic analysis reveals a strong contribution of the HLA class II region to giant cell arteritis susceptibility. - American journal of human genetics (2015) · Carmona FD, Mackie SL, Martín JE, Taylor JC, Vaglio A, Eyre S, Bossini-Castillo L, Castañeda S, Cid MC, Hernández-Rodríguez J, Prieto-González S, Solans R, Ramentol-Sintas M, González-Escribano MF, Ortiz-Fernández L, Morado IC, Narváez J, Miranda-Filloy JA, Beretta L, Lunardi C, Cimmino MA, Gianfreda D, Santilli D, Ramirez GA, Soriano A, Muratore F, Pazzola G, Addimanda O, Wijmenga C, Witte T, Schirmer JH, Moosig F, Schönau V, Franke A, Palm Ø, Molberg Ø, Diamantopoulos AP, Carette S, Cuthbertson D, Forbess LJ, Hoffman GS, Khalidi NA, Koening CL, Langford CA, McAlear CA, Moreland L, Monach PA, Pagnoux C, Seo P, Spiera R, Sreih AG, Warrington KJ, Ytterberg SR, Gregersen PK, Pease CT, Gough A, Green M, Hordon L, Jarrett S, Watts R, Levy S, Patel Y, Kamath S, Dasgupta B, Worthington J, Koeleman BP, de Bakker PI, Barrett JH, Salvarani C, Merkel PA, González-Gay MA, Morgan AW, Martín J · PubMed 25817017

    We conducted a large-scale genetic analysis on giant cell arteritis (GCA), a polygenic immune-mediated vasculitis. A case-control cohort, comprising 1,651 case subjects with GCA and 15,306 unrelated control subjects from six different countries of European ancestry, was genotyped by the Immunochip array. We also imputed HLA data with a previously validated imputation method to perform a more comprehensive analysis of this genomic region. The strongest association signals were observed in the HLA region, with rs477515 representing the highest peak (p = 4.05 × 10(-40), OR = 1.73). A multivariate model including class II amino acids of HLA-DRβ1 and HLA-DQα1 and one class I amino acid of HLA-B explained most of the HLA association with GCA, consistent with previously reported associations

  • Inflammatory and infectious upper respiratory diseases associate with 41 genomic loci and type 2 inflammation - Unknown journal (n.d.) · Unknown authors · PubMed 36653354

    ABSTRACT: Inflammatory and infectious upper respiratory diseases (ICD-10: J30-J39), such as diseases of the sinonasal tract, pharynx and larynx, are growing health problems yet their genomic similarity is not known. We analyze genome-wide association to eight upper respiratory diseases (61,195 cases) among 260,405 FinnGen participants, meta-analyzing diseases in four groups based on an underlying genetic correlation structure. Aiming to understand which genetic loci contribute to susceptibility to upper respiratory diseases in general and its subtypes, we detect 41 independent genome-wide significant loci, distinguishing impact on sinonasal or pharyngeal diseases, or both. Fine-mapping implicated non-synonymous variants in nine genes, including three linked to immune-related diseases. Phen


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