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Items: 1 to 20 of 43

1.

Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study.

de Vries PS, Sabater-Lleal M, Chasman DI, Trompet S, Ahluwalia TS, Teumer A, Kleber ME, Chen MH, Wang JJ, Attia JR, Marioni RE, Steri M, Weng LC, Pool R, Grossmann V, Brody JA, Venturini C, Tanaka T, Rose LM, Oldmeadow C, Mazur J, Basu S, Frånberg M, Yang Q, Ligthart S, Hottenga JJ, Rumley A, Mulas A, de Craen AJ, Grotevendt A, Taylor KD, Delgado GE, Kifley A, Lopez LM, Berentzen TL, Mangino M, Bandinelli S, Morrison AC, Hamsten A, Tofler G, de Maat MP, Draisma HH, Lowe GD, Zoledziewska M, Sattar N, Lackner KJ, Völker U, McKnight B, Huang J, Holliday EG, McEvoy MA, Starr JM, Hysi PG, Hernandez DG, Guan W, Rivadeneira F, McArdle WL, Slagboom PE, Zeller T, Psaty BM, Uitterlinden AG, de Geus EJ, Stott DJ, Binder H, Hofman A, Franco OH, Rotter JI, Ferrucci L, Spector TD, Deary IJ, März W, Greinacher A, Wild PS, Cucca F, Boomsma DI, Watkins H, Tang W, Ridker PM, Jukema JW, Scott RJ, Mitchell P, Hansen T, O'Donnell CJ, Smith NL, Strachan DP, Dehghan A.

PLoS One. 2017 Jan 20;12(1):e0167742. doi: 10.1371/journal.pone.0167742. eCollection 2017.

2.

The Arab genome: Health and wealth.

Zayed H.

Gene. 2016 Nov 5;592(2):239-43. doi: 10.1016/j.gene.2016.07.007. Epub 2016 Jul 5. Review.

PMID:
27393651
3.

Ancestry informative markers for distinguishing between Thai populations based on genome-wide association datasets.

Vongpaisarnsin K, Listman JB, Malison RT, Gelernter J.

Leg Med (Tokyo). 2015 Jul;17(4):245-50. doi: 10.1016/j.legalmed.2015.02.004. Epub 2015 Feb 25.

4.

Addressing population-specific multiple testing burdens in genetic association studies.

Sobota RS, Shriner D, Kodaman N, Goodloe R, Zheng W, Gao YT, Edwards TL, Amos CI, Williams SM.

Ann Hum Genet. 2015 Mar;79(2):136-47. doi: 10.1111/ahg.12095. Epub 2015 Jan 22.

5.

Predictor performance with stratified data and imbalanced classes.

Stone EA.

Nat Methods. 2014 Aug;11(8):782-3. doi: 10.1038/nmeth.3045. No abstract available.

PMID:
25075902
6.

Reply to: "Proper reporting of predictor performance".

Kumar S, Ye J, Liu L.

Nat Methods. 2014 Aug;11(8):781-2. doi: 10.1038/nmeth.3039. No abstract available.

PMID:
25075901
7.

Proper reporting of predictor performance.

Vihinen M.

Nat Methods. 2014 Aug;11(8):781. doi: 10.1038/nmeth.3032. No abstract available.

PMID:
25075900
8.

[Analysis of the HapMap data on SNPs in SUMO1 and association study of rs7599810 in trios with non-syndromic cleft lip with or without cleft palate].

Yue Q, Wang H, Zhang B, Zhao KP.

Beijing Da Xue Xue Bao Yi Xue Ban. 2014 Apr 18;46(2):258-63. Chinese.

9.

Inactive alleles of cytochrome P450 2C19 may be positively selected in human evolution.

Janha RE, Worwui A, Linton KJ, Shaheen SO, Sisay-Joof F, Walton RT.

BMC Evol Biol. 2014 Apr 1;14:71. doi: 10.1186/1471-2148-14-71.

10.

Pharmacogenomics: historical perspective and current status.

Charlab R, Zhang L.

Methods Mol Biol. 2013;1015:3-22. doi: 10.1007/978-1-62703-435-7_1.

PMID:
23824846
11.

Breakdown of methods for phasing and imputation in the presence of double genotype sharing.

Nettelblad C.

PLoS One. 2013;8(3):e60354. doi: 10.1371/journal.pone.0060354. Epub 2013 Mar 28.

12.

Characterization of the Metabochip in diverse populations from the International HapMap Project in the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) project.

Crawford DC, Goodloe R, Brown-Gentry K, Wilson S, Roberson J, Gillani NB, Ritchie MD, Dilks HH, Bush WS.

Pac Symp Biocomput. 2013:188-99.

13.

Small Ancestry Informative Marker panels for complete classification between the original four HapMap populations.

Setsirichok D, Piroonratana T, Assawamakin A, Usavanarong T, Limwongse C, Wongseree W, Aporntewan C, Chaiyaratana N.

Int J Data Min Bioinform. 2012;6(6):651-74.

PMID:
23356013
14.

HGDP and HapMap analysis by Ancestry Mapper reveals local and global population relationships.

Magalhães TR, Casey JP, Conroy J, Regan R, Fitzpatrick DJ, Shah N, Sobral J, Ennis S.

PLoS One. 2012;7(11):e49438. doi: 10.1371/journal.pone.0049438. Epub 2012 Nov 26.

15.

Unexpected relationships and inbreeding in HapMap phase III populations.

Stevens EL, Baugher JD, Shirley MD, Frelin LP, Pevsner J.

PLoS One. 2012;7(11):e49575. doi: 10.1371/journal.pone.0049575. Epub 2012 Nov 19.

16.

Genetic variation in TLR genes in Ugandan and South African populations and comparison with HapMap data.

Baker AR, Qiu F, Randhawa AK, Horne DJ, Adams MD, Shey M, Barnholtz-Sloan J, Mayanja-Kizza H, Kaplan G, Hanekom WA, Boom WH, Hawn TR, Stein CM; Tuberculosis Research Unit and South African Tuberculosis Vaccine Initiative Team.

PLoS One. 2012;7(10):e47597. doi: 10.1371/journal.pone.0047597. Epub 2012 Oct 24.

17.

Exploring genomic structure differences and similarities between the Greek and European HapMap populations: implications for association studies.

Stathias V, Sotiris GR, Karagiannidis I, Bourikas G, Martinis G, Papazoglou D, Tavridou A, Papanas N, Maltezos E, Theodoridis M, Vargemezis V, Manolopoulos VG, Speed WC, Kidd JR, Kidd KK, Drineas P, Paschou P.

Ann Hum Genet. 2012 Nov;76(6):472-83. doi: 10.1111/j.1469-1809.2012.00730.x.

18.

Evaluating coverage of exons by HapMap SNPs.

Dong X, Zhong T, Xu T, Xia Y, Li B, Li C, Yuan L, Ding G, Li Y.

Genomics. 2013 Jan;101(1):20-3. doi: 10.1016/j.ygeno.2012.09.003. Epub 2012 Sep 19.

19.

Haplogrouping mitochondrial DNA sequences in Legal Medicine/Forensic Genetics.

Bandelt HJ, van Oven M, Salas A.

Int J Legal Med. 2012 Nov;126(6):901-16. doi: 10.1007/s00414-012-0762-y. Epub 2012 Sep 1.

PMID:
22940763
20.

Evolutionary diagnosis method for variants in personal exomes.

Kumar S, Sanderford M, Gray VE, Ye J, Liu L.

Nat Methods. 2012 Sep;9(9):855-6. doi: 10.1038/nmeth.2147. No abstract available.

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