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247 related items for PubMed ID: 26977931

  • 1. Minimal SNP overlap among multiple panels of ancestry informative markers argues for more international collaboration.
    Soundararajan U, Yun L, Shi M, Kidd KK.
    Forensic Sci Int Genet; 2016 Jul; 23():25-32. PubMed ID: 26977931
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  • 3. Biogeographic origin prediction of three continental populations through 42 ancestry informative SNPs.
    Jin XY, Cui W, Chen C, Guo YX, Tao YW, Lan Q, Kong TT, Zhu BF.
    Electrophoresis; 2020 Feb; 41(3-4):235-245. PubMed ID: 31743462
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  • 4. Pacifiplex: an ancestry-informative SNP panel centred on Australia and the Pacific region.
    Santos C, Phillips C, Fondevila M, Daniel R, van Oorschot RAH, Burchard EG, Schanfield MS, Souto L, Uacyisrael J, Via M, Carracedo Á, Lareu MV.
    Forensic Sci Int Genet; 2016 Jan; 20():71-80. PubMed ID: 26517174
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  • 5. Inference of biogeographical ancestry across central regions of Eurasia.
    Bulbul O, Filoglu G, Zorlu T, Altuncul H, Freire-Aradas A, Söchtig J, Ruiz Y, Klintschar M, Triki-Fendri S, Rebai A, Phillips C, Lareu MV, Carracedo Á, Schneider PM.
    Int J Legal Med; 2016 Jan; 130(1):73-9. PubMed ID: 26289413
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  • 6. A panel of 74 AISNPs: Improved ancestry inference within Eastern Asia.
    Li CX, Pakstis AJ, Jiang L, Wei YL, Sun QF, Wu H, Bulbul O, Wang P, Kang LL, Kidd JR, Kidd KK.
    Forensic Sci Int Genet; 2016 Jul; 23():101-110. PubMed ID: 27077960
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  • 7. Development and Evaluation of the Ancestry Informative Marker Panel of the VISAGE Basic Tool.
    de la Puente M, Ruiz-Ramírez J, Ambroa-Conde A, Xavier C, Pardo-Seco J, Álvarez-Dios J, Freire-Aradas A, Mosquera-Miguel A, Gross TE, Cheung EYY, Branicki W, Nothnagel M, Parson W, Schneider PM, Kayser M, Carracedo Á, Lareu MV, Phillips C, On Behalf Of The Visage Consortium.
    Genes (Basel); 2021 Aug 22; 12(8):. PubMed ID: 34440458
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  • 8. AIM-SNPtag: A computationally efficient approach for developing ancestry-informative SNP panels.
    Zhao S, Shi CM, Ma L, Liu Q, Liu Y, Wu F, Chi L, Chen H.
    Forensic Sci Int Genet; 2019 Jan 22; 38():245-253. PubMed ID: 30476751
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  • 9. MAPlex - A massively parallel sequencing ancestry analysis multiplex for Asia-Pacific populations.
    Phillips C, McNevin D, Kidd KK, Lagacé R, Wootton S, de la Puente M, Freire-Aradas A, Mosquera-Miguel A, Eduardoff M, Gross T, Dagostino L, Power D, Olson S, Hashiyada M, Oz C, Parson W, Schneider PM, Lareu MV, Daniel R.
    Forensic Sci Int Genet; 2019 Sep 22; 42():213-226. PubMed ID: 31377479
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  • 12. The ancestry inference of Chinese populations using 74-plex SNPs system.
    Liu Y, Sun CC, Ma M, Wang L, Zhao WT, Ma Q, Ji AQ, Liu J, Li CX.
    Yi Chuan; 2020 Mar 20; 42(3):296-308. PubMed ID: 32217515
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  • 13. Establishing a second-tier panel of 18 ancestry informative markers to improve ancestry distinctions among Asian populations.
    Qu S, Zhu J, Wang Y, Yin L, Lv M, Wang L, Jian H, Tan Y, Zhang R, Liu Y, Li F, Huang S, Liang W, Zhang L.
    Forensic Sci Int Genet; 2019 Jul 20; 41():159-167. PubMed ID: 31136932
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  • 15. Ancestry Prediction Comparisons of Different AISNPs for Five Continental Populations and Population Structure Dissection of the Xinjiang Hui Group via a Self-Developed Panel.
    Jin XY, Guo YX, Chen C, Cui W, Liu YF, Tai YC, Zhu BF.
    Genes (Basel); 2020 May 04; 11(5):. PubMed ID: 32375366
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  • 18. Global analysis of population stratification using a smart panel of 27 continental ancestry-informative SNPs.
    Jiang L, Wei YL, Zhao L, Li N, Liu T, Liu HB, Ren LJ, Li JL, Hao HF, Li Q, Li CX.
    Forensic Sci Int Genet; 2018 Jul 04; 35():e10-e12. PubMed ID: 29803513
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  • 19. Massively parallel sequencing of 165 ancestry-informative SNPs and forensic biogeographical ancestry inference in three southern Chinese Sinitic/Tai-Kadai populations.
    He G, Liu J, Wang M, Zou X, Ming T, Zhu S, Yeh HY, Wang C, Wang Z, Hou Y.
    Forensic Sci Int Genet; 2021 May 04; 52():102475. PubMed ID: 33561661
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  • 20. Population relationships based on 170 ancestry SNPs from the combined Kidd and Seldin panels.
    Pakstis AJ, Speed WC, Soundararajan U, Rajeevan H, Kidd JR, Li H, Kidd KK.
    Sci Rep; 2019 Dec 11; 9(1):18874. PubMed ID: 31827153
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