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  • Genetic matching potentially provides a means to alleviate the effects of incomplete Mendelian randomization in population-based gene-disease association studies. We therefore evaluated the genetic-matched pair study design on the basis of genome-wide SNP data (309 790 markers; Affymetrix GeneChip Human Mapping 500K Array) from 2457 individuals, sampled at 23 different recruitment sites across Europe. Using pair-wise identity-by-state (IBS) as a matching criterion, we tried to derive a subset of markers that would allow identification of the best overall matching (BOM) partner for a given individual, based on the IBS status for the subset alone. However, our results suggest that, by following this approach, the prediction accuracy is only notably improved by the first 20 markers selected, and increases proportionally to the marker number thereafter. Furthermore, in a considerable proportion of cases (76.0%), the BOM of a given individual, based on the complete marker set, came from a different recruit
  • Genetic matching potentially provides a means to alleviate the effects of incomplete Mendelian randomization in population-based gene-disease association studies. We therefore evaluated the genetic-matched pair study design on the basis of genome-wide SNP data (309 790 markers; Affymetrix GeneChip Human Mapping 500K Array) from 2457 individuals, sampled at 23 different recruitment sites across Europe. Using pair-wise identity-by-state (IBS) as a matching criterion, we tried to derive a subset of markers that would allow identification of the best overall matching (BOM) partner for a given individual, based on the IBS status for the subset alone. However, our results suggest that, by following this approach, the prediction accuracy is only notably improved by the first 20 markers selected, and increases proportionally to the marker number thereafter. Furthermore, in a considerable proportion of cases (76.0%), the BOM of a given individual, based on the complete marker set, came from a different recruit (en)
Title
  • An evaluation of the genetic-matched pair study design using genome-wide SNP data from the European population
  • An evaluation of the genetic-matched pair study design using genome-wide SNP data from the European population (en)
skos:prefLabel
  • An evaluation of the genetic-matched pair study design using genome-wide SNP data from the European population
  • An evaluation of the genetic-matched pair study design using genome-wide SNP data from the European population (en)
skos:notation
  • RIV/00216208:11130/09:5338!RIV10-MZ0-11130___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(NR9448), Z(MZ0FNM2005)
http://linked.open...iv/cisloPeriodika
  • 7
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 302720
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11130/09:5338
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • population structure; matching; association; ancestry; microarray; disease association; genotype data (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [DBA477D2639E]
http://linked.open...i/riv/nazevZdroje
  • European Journal of Human Genetics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 17
http://linked.open...iv/tvurceVysledku
  • Macek, Milan
  • Balaščaková, Miroslava
  • Wichmann, HE
  • Schreiber, S.
  • Nurnberg, P.
  • Comas, D.
  • Kayser, M.
  • Kouvatsi, A.
  • Lao, O.
  • Gieger, C.
  • Hofman, A.
  • Lu, TT
  • Becker, C.
  • Bertranpetit, J.
  • Bindoff, LA
  • Caliebe, A.
  • Freitag-Wolf, S.
  • Gether, U.
  • Holmlund, G.
  • Junge, O.
  • Krawczak, M.
  • Mollet, I.
  • Nelson, M. R.
  • Nielsen, F.
  • Nothnagel, M.
  • Palo, J.
  • Parson, W.
  • Ploski, R.
  • Rivadeneira, F.
  • Ruether, A.
  • Sajantila, A.
  • Tagliabracci, A.
  • Uitterlinden, AG
  • Werge, T.
http://linked.open...ain/vavai/riv/wos
  • 000267141600017
http://linked.open...n/vavai/riv/zamer
issn
  • 1018-4813
number of pages
http://localhost/t...ganizacniJednotka
  • 11130
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