Now showing items 1-9 of 9

    • Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations 

      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 (2021)
      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 ...
    • Genetic diversity and structure of Rhizobium leguminosarum populations associated with clover plants are influenced by local environmental variables 

      Stefan A., Van Cauwenberghe J., Rosu C.M., Stedel C., Labrou N.E., Flemetakis E., Efrose R.C. (2018)
      The identification and conservation of indigenous rhizobia associated with legume plants and their application as biofertilizers is becoming an agricultural worldwide priority. However, little is known about the genetic ...
    • Genetic variation of Marchalina hellenica (Hemiptera: Margarodidae) sampled from different hosts and localities in Greece 

      Margaritopoulos, J. T.; Bacandritsos, N.; Pekas, A. N.; Stamatis, C.; Mamuris, Z.; Tsitsipis, J. A. (2003)
      Random amplified polymorphic DNA (RAPD) analysis was applied to 120 individuals of Marchalina hellenica (Gennadius) representing six populations collected in northern, central and southern mainland Greece. One population ...
    • Genomic diversity and population structure of three autochthonous Greek sheep breeds assessed with genome-wide DNA arrays 

      Michailidou S., Tsangaris G., Fthenakis G.C., Tzora A., Skoufos I., Karkabounas S.C., Banos G., Argiriou A., Arsenos G. (2018)
      In the present study, genome-wide genotyping was applied to characterize the genetic diversity and population structure of three autochthonous Greek breeds: Boutsko, Karagouniko and Chios. Dairy sheep are among the most ...
    • GWAR: Robust analysis and meta-analysis of genome-wide association studies 

      Dimou N.L., Tsirigos K.D., Elofsson A., Bagos P.G. (2017)
      Motivation: In the context of genome-wide association studies (GWAS), there is a variety of statistical techniques in order to conduct the analysis, but, in most cases, the underlying genetic model is usually unknown. Under ...
    • Microsatellite analysis of olive fly populations in the mediterranean indicates a westward expansion of the species 

      Augustinos, A. A.; Mamuris, Z.; Stratikopoulos, E.; D'Amelio, S.; Zacharopoulou, A.; Mathiopoulos, K. D. (2005)
      Bactrocera oleae is the major insect pest of the olive fruit. Twelve microsatellite loci isolated from the genome of this insect were used in a Mediterranean-wide population analysis. These loci were highly polymorphic ...
    • Mitogenomic analysis in European brown hare (Lepus europaeus) proposes genetic and functional differentiation between the distinct lineages 

      Giannoulis T., Stamatis C., Tsipourlianos A., Mamuris Z. (2018)
      European brown hare is a small game species spreading across Europe to Asia Minor, with important economic traits. Population genetics studies using mitochondrial DNA markers have revealed the existence of two major ...
    • Phylogeography of roe deer (Capreolus capreolus) populations: The effects of historical genetic subdivisions and recent nonequilibrium dynamics 

      Randi, E.; Alves, P. C.; Carranza, J.; Milosevic-Zlatanovi, S.; Sfougaris, A.; Mucci, N. (2004)
      We sequenced 704 mitochondrial DNA (mtDNA) control-region nucleotides and genotyped 11 autosomal microsatellites (STR) in 617 European roe deer (Capreolus capreolus) samples, aiming to infer the species' phylogeographical ...
    • Tracking the global dispersal of a cosmopolitan insect pest, the peach potato aphid 

      Margaritopoulos, J. T.; Kasprowicz, L.; Malloch, G. L.; Fenton, B. (2009)
      Background. Global commerce and human transportation are responsible for the range expansion of various insect pests such as the plant sucking aphids. High resolution DNA markers provide the opportunity to examine the ...