دورية أكاديمية

Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations

التفاصيل البيبلوغرافية
العنوان: Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations
المؤلفون: Boer C.G., Hatzikotoulas K., Southam L., Stefánsdóttir L., Zhang Y., Coutinho de Almeida R., Wu T.T., Zheng J., Hartley A., Teder-Laving M., Skogholt A.H., Terao C., Zengini E., Alexiadis G., Barysenka A., Bjornsdottir G., Gabrielsen M.E., Gilly A., Ingvarsson T., Johnsen M.B., Jonsson H., Kloppenburg M., Luetge A., Lund S.H., Mägi R., Mangino M., Nelissen R.R.G.H.H., Shivakumar M., Steinberg J., Takuwa H., Thomas L.F., Tuerlings M., Loughlin J., Arden N., Birrell F., Carr A., Deloukas P., Doherty M., McCaskie A.W., Ollier W.E.R., Rai A., Ralston S.H., Spector T.D., Wallis G.A., Martinsen A.E., Willer C., Fors E.A., Mundal I., Hagen K., Nilsen K.B., Lie M.U., Børte S., Brumpton B., Nielsen J.B., Fritsche L.G., Zhou W., Heuch I., Storheim K., Tyrpenou E., Koukakis A., Chytas D., Evangelopoulos D.S., Efstathios C., Pneumaticos S., Nikolaou V.S., Malizos K., Anastasopoulou L., Abecasis G., Baras A., Cantor M., Coppola G., Deubler A., Economides A., Lotta L.A., Overton J.D., Reid J.G., Shuldiner A., Karalis K., Siminovitch K., Beechert C., Forsythe C., Fuller E.D., Gu Z., Lattari M., Lopez A., Schleicher T.D., Padilla M.S., Widom L., Wolf S.E., Pradhan M., Manoochehri K., Bai X., Balasubramanian S., Boutkov B., Eom G., Habegger L., Hawes A., Krasheninina O., Lanche R., Mansfield A.J., Maxwell E.K., Nafde M., O'Keeffe S., Orelus M., Panea R., Polanco T., Rasool A., Salerno W., Staples J.C., Li D., Sharma D., Banerjee I., Bovijn J., Locke A., Verweij N., Haas M., Hindy G., De T., Akbari P., Sosina O., Ferreira M.A.R., Jones M.B., Mighty J., LeBlanc M.G., Mitnaul L.J., Babis G.C., Cheung J.P.Y., Kang J.H., Kraft P., Lietman S.A., Samartzis D., Slagboom P.E., Stefansson K., Thorsteinsdottir U., Tobias J.H., Uitterlinden A.G., Winsvold B., Zwart J.-A., Davey Smith G., Sham P.C., Thorleifsson G., Gaunt T.R., Morris A.P., Valdes A.M., Tsezou A., Cheah K.S.E., Ikegawa S., Hveem K., Esko T., Wilkinson J.M., Meulenbelt I., Lee M.T.M., van Meurs J.B.J., Styrkársdóttir U., Zeggini E., arcOGEN Consortium, HUNT All-In Pain, ARGO Consortium, Regeneron Genetics Center
المصدر: Cell ; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114044916&doi=10.1016%2fj.cell.2021.07.038&partnerID=40&md5=958bb69a64c7c97b8d68ca77740ad43cTest
سنة النشر: 2021
المجموعة: University of Thessaly Institutional Repository / Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
مصطلحات موضوعية: arthralgia, Article, articular cartilage, functional genomics, gene expression, gene identification, gene locus, genetic association, genetic correlation, genetic linkage, genetic risk, genetic variability, genetics, genome-wide association study, human, meta analysis, nonhuman, onset age, osteoarthritis, osteophyte, pathogenesis, phenotype, spondylosis, study design, subchondral bone, weight bearing, female, genetic predisposition, population genetics, risk factor
الوصف: Osteoarthritis affects over 300 million people worldwide. Here, we conduct a genome-wide association study meta-analysis across 826,690 individuals (177,517 with osteoarthritis) and identify 100 independently associated risk variants across 11 osteoarthritis phenotypes, 52 of which have not been associated with the disease before. We report thumb and spine osteoarthritis risk variants and identify differences in genetic effects between weight-bearing and non-weight-bearing joints. We identify sex-specific and early age-at-onset osteoarthritis risk loci. We integrate functional genomics data from primary patient tissues (including articular cartilage, subchondral bone, and osteophytic cartilage) and identify high-confidence effector genes. We provide evidence for genetic correlation with phenotypes related to pain, the main disease symptom, and identify likely causal genes linked to neuronal processes. Our results provide insights into key molecular players in disease processes and highlight attractive drug targets to accelerate translation. © 2021 The Authors
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 00928674
العلاقة: http://hdl.handle.net/11615/71733Test
DOI: 10.1016/j.cell.2021.07.038
الإتاحة: https://doi.org/10.1016/j.cell.2021.07.038Test
http://hdl.handle.net/11615/71733Test
رقم الانضمام: edsbas.3CEFD1DE
قاعدة البيانات: BASE
الوصف
تدمد:00928674
DOI:10.1016/j.cell.2021.07.038