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Integrating common and rare genetic variation in diverse human populations.
International HapMap 3 Consortium, Altshuler DM, Gibbs RA, Peltonen L, Altshuler DM, Gibbs RA, Peltonen L, Dermitzakis E, Schaffner SF, Yu F, Peltonen L, Dermitzakis E, Bonnen PE, Altshuler DM, Gibbs RA, de Bakker PI, Deloukas P, Gabriel SB, Gwilliam R, Hunt S, Inouye M, Jia X, Palotie A, Parkin M, Whittaker P, Yu F, Chang K, Hawes A, Lewis LR, Ren Y, Wheeler D, Gibbs RA, Muzny DM, Barnes C, Darvishi K, Hurles M, Korn JM, Kristiansson K, Lee C, McCarrol SA, Nemesh J, Dermitzakis E, Keinan A, Montgomery SB, Pollack S, Price AL, Soranzo N, Bonnen PE, Gibbs RA, Gonzaga-Jauregui C, Keinan A, Price AL, Yu F, Anttila V, Brodeur W, Daly MJ, Leslie S, McVean G, Moutsianas L, Nguyen H, Schaffner SF, Zhang Q, Ghori MJ, McGinnis R, McLaren W, Pollack S, Price AL, Schaffner SF, Takeuchi F, Grossman SR, Shlyakhter I, Hostetter EB, Sabeti PC, Adebamowo CA, Foster MW, Gordon DR, Licinio J, Manca MC, Marshall PA, Matsuda I, Ngare D, Wang VO, Reddy D, Rotimi CN, Royal CD, Sharp RR, Zeng C, Brooks LD, McEwen JE. International HapMap 3 Consortium, et al. Nature. 2010 Sep 2;467(7311):52-8. doi: 10.1038/nature09298. Nature. 2010. PMID: 20811451 Free PMC article.
This integrated data set of common and rare alleles, called 'HapMap 3', includes both SNPs and copy number polymorphisms (CNPs). ...This expanded public resource of genome variants in global populations supports deeper interrogation of genomic varia
This integrated data set of common and rare alleles, called 'HapMap 3', includes both SNPs and copy number polymorphism …
An integrated map of genetic variation from 1,092 human genomes.
1000 Genomes Project Consortium, Abecasis GR, Auton A, Brooks LD, DePristo MA, Durbin RM, Handsaker RE, Kang HM, Marth GT, McVean GA. 1000 Genomes Project Consortium, et al. Nature. 2012 Nov 1;491(7422):56-65. doi: 10.1038/nature11632. Nature. 2012. PMID: 23128226 Free PMC article.
By characterizing the geographic and functional spectrum of human genetic variation, the 1000 Genomes Project aims to build a resource to help to understand the genetic contribution to disease. ...This resource, which captures up to 98% of accessible s …
By characterizing the geographic and functional spectrum of human genetic variation, the 1000 Genomes Project aims to b …
Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016.
Srivastava AK, Wang Y, Huang R, Skinner C, Thompson T, Pollard L, Wood T, Luo F, Stevenson R, Polimanti R, Gelernter J, Lin X, Lim IY, Wu Y, Teh AL, Chen L, Aris IM, Soh SE, Tint MT, MacIsaac JL, Yap F, Kwek K, Saw SM, Kobor MS, Meaney MJ, Godfrey KM, Chong YS, Holbrook JD, Lee YS, Gluckman PD, Karnani N; GUSTO study group, Kapoor A, Lee D, Chakravarti A, Maercker C, Graf F, Boutros M, Stamoulis G, Santoni F, Makrythanasis P, Letourneau A, Guipponi M, Panousis N, Garieri M, Ribaux P, Falconnet E, Borel C, Antonarakis SE, Kumar S, Curran J, Blangero J, Chatterjee S, Kapoor A, Akiyama J, Auer D, Berrios C, Pennacchio L, Chakravarti A, Donti TR, Cappuccio G, Miller M, Atwal P, Kennedy A, Cardon A, Bacino C, Emrick L, Hertecant J, Baumer F, Porter B, Bainbridge M, Bonnen P, Graham B, Sutton R, Sun Q, Elsea S, Hu Z, Wang P, Zhu Y, Zhao J, Xiong M, Bennett DA, Hidalgo-Miranda A, Romero-Cordoba S, Rodriguez-Cuevas S, Rebollar-Vega R, Tagliabue E, Iorio M, D’Ippolito E, Baroni S, Kaczkowski B, Tanaka Y, Kawaji H, Sandelin A, Andersson R, Itoh M, Lassmann T; The FANTOM5 Consortium, Hayashizaki Y, Carninci P, Forrest ARR, Semple CA, Rosenthal EA, Shirts B, Amendola L, Gallego C, Horike-Pyne M, Burt A, Robertson P, Beyers P, Nefcy C, Veenstra D, Hisama F, Bennett R, Dorschner M, Nickerson D, Smith J, Patterson K, Crosslin D, Nassir R, Zubair N, Harrison T, Peters U, Jarvik G; NHLBI GO Exome Sequencing Project, Menghi F, Inaki K, Woo X, Kumar P, Grzeda K, Malhotra A, Kim H, Ucar D, Shreckengast P, Karuturi K, Keck J, Chuang J, Liu ET, Ji B, Tyler A, Ananda G, Carter G, Nikbakht H, Montagne M, Zeinieh M, Harutyunyan A, Mcconechy M, Jabado N, Lavigne P, Majewski J, Goldstein JB, Overman M, Varadhachary G, Shroff R, Wolff R, Javle M, Futreal A, Fogelman D, Bravo L, Fajardo W, Gomez H, Castaneda C, Rolfo C, Pinto JA, Akdemir KC, Chin L, Futreal A; ICGC PCAWG Structural Alterations Group, Patterson S, Statz C, Mockus S, Nikolaev SN, Bonilla XI, Parmentier L, King B, Bezrukov F, Kaya G, Zoete V, Seplyarskiy V, Sharpe H, McKee T, Letourneau A, Ribaux P, Popadin K, Basset-Seguin N, Chaabene RB, Santoni F, Andrianova M, Guipponi M, Garieri M, Verdan C, Grosdemange K, Sumara O, Eilers M, Aifantis I, Michielin O, de Sauvage F, Antonarakis S, Likhitrattanapisal S, Lincoln S, Kurian A, Desmond A, Yang S, Kobayashi Y, Ford J, Ellisen L, Peters TL, Alvarez KR, Hollingsworth EF, Lopez-Terrada DH, Hastie A, Dzakula Z, Pang AW, Lam ET, Anantharaman T, Saghbini M, Cao H; BioNano Genomics, Gonzaga-Jauregui C, Ma L, King A, Rosenzweig EB, Krishnan U, Reid JG, Overton JD, Dewey F, Chung WK, Small K, DeLuca A, Cremers F, Lewis RA, Puech V, Bakall B, Silva-Garcia R, Rohrschneider K, Leys M, Shaya FS, Stone E, Sobreira NL, Schiettecatte F, Ling H, Pugh E, Witmer D, Hetrick K, Zhang P, Doheny K, Valle D, Hamosh A, Jhangiani SN, Akdemir ZC, Bainbridge MN, Charng W, Wiszniewski W, Gambin T, Karaca E, Bayram Y, Eldomery MK, Posey J, Doddapaneni H, Hu J, Sutton VR, Muzny DM, Boerwinkle EA, Valle D, Lupski JR, Gibbs RA, Shekar S, Salerno W, English A, Mangubat A, Bruestle J, Thorogood A, Knoppers BM; Global Alliance for Genomics and Health - Regulatory and Ethics Working Group, Takahashi H, Nitta KR, Kozhuharova A, Suzuki AM, Sharma H, Cotella D, Santoro C, Zucchelli S, Gustincich S, Carninci P, Mulvihill JJ, Baynam G, Gahl W, Groft SC, Kosaki K, Lasko P, Melegh B, Taruscio D, Ghosh R, Plon S, Scherer S, Qin X, Sanghvi R, Walker K, Chiang T, Muzny D, Wang L, Black J, Boerwinkle E, Weinshilboum R, Gibbs R, Karpinets T, Calderone T, Wani K, Yu X, Creasy C, Haymaker C, Forget M, Nanda V, Roszik J, Wargo J, Haydu L, Song X, Lazar A, Gershenwald J, Davies M, Bernatchez C, Zhang J, Futreal A, Woodman S, Chesler EJ, Reynolds T, Bubier JA, Phillips C, Langston MA, Baker EJ, Xiong M, Ma L, Lin N, Amos C, Lin N, Wang P, Zhu Y, Zhao J, Calhoun V, Xiong M, Dobretsberger O, Egger M, Leimgruber F, Sadedin S, Oshlack A; Melbourne Genomics Health Alliance, Antonio VAA, Ono N; Clark Kendrick C. Go, Ahmed Z, Bolisetty M, Zeeshan S, Anguiano E, Ucar D, Sarkar A, Nandineni MR, Zeng C, Shao J, Cao H, Hastie A, Pang AW, Lam ET, Liang T, Pham K, Saghbini M, Dzakula Z, Chee-Wei Y, Dongsheng L, Lai-Ping W, Lian D, Hee ROT, Yunus Y, Aghakhanian F, Mokhtar SS, Lok-Yung CV, Bhak J, Phipps M, Shuhua X, Yik-Ying T, Kumar V, Boon-Peng H, Campbell I, Young MA, James P; Lifepool, Rain M, Mohammad G, Kukreti R, Pasha Q, Akilzhanova AR, Guelly C, Abilova Z, Rakhimova S, Akhmetova A, Kairov U, Trajanoski S, Zhumadilov Z, Bekbossynova M, Schumacher C, Sandhu S, Harkins T, Makarov V, Doddapaneni H, Glenn R, Momin Z, Dilrukshi B, Chao H, Meng Q, Gudenkauf B, Kshitij R, Jayaseelan J, Nessner C, Lee S, Blankenberg K, Lewis L, Hu J, Han Y, Dinh H, Jireh S, Walker K, Boerwinkle E, Muzny D, Gibbs R, Hu J, Walker K, Buhay C, Liu X, Wang Q, Sanghvi R, Doddapaneni H, Ding Y, Veeraraghavan N, Yang Y, Boerwinkle E, Beaudet AL, Eng CM, Muzny DM, Gibbs RA, Worley KCC, Liu Y, Hughes DST, Murali SC, Harris RA, English AC, Qin X, Hampton OA, Larsen P, Beck C, Han Y, Wang M, Doddapaneni H, Kovar CL, Salerno WJ, Yoder A, Richards S, Rogers J, Lupski JR, Muzny DM, Gibbs RA, Meng Q, Bainbridge M, Wang M, Doddapaneni H, Han Y, Muzny D, Gibbs R, Harris RA, Raveenedran M, Xue C, Dahdouli M, Cox L, Fan G, Ferguson B, Hovarth J, Johnson Z, Kanthaswamy S, Kubisch M, Platt M, Smith D, Vallender E, Wiseman R, Liu X, Below J, Muzny D, Gibbs R, Yu F, Rogers J, Lin J, Zhang Y, Ouyang Z, Moore A, Wang Z, Hofmann J, Purdue M, Stolzenberg-Solomon R, Weinstein S, Albanes D, Liu CS, Cheng WL, Lin TT, Lan Q, Rothman N, Berndt S, Chen ES, Bahrami H, Khoshzaban A, Keshal SH, Bahrami H, Khoshzaban A, Keshal SH, Alharbi KKR, Zhalbinova M, Akilzhanova A, Rakhimova S, Bekbosynova M, Myrzakhmetova S, Matar M, Mili N, Molinari R, Ma Y, Guerrier S, Elhawary N, Tayeb M, Bogari N, Qotb N, McClymont SA, Hook PW, Goff LA, McCallion A, Kong Y, Charette JR, Hicks WL, Naggert JK, Zhao L, Nishina PM, Edrees BM, Athar M, Al-Allaf FA, Taher MM, Khan W, Bouazzaoui A, Harbi NA, Safar R, Al-Edressi H, Anazi A, Altayeb N, Ahmed MA, Alansary K, Abduljaleel Z, Kratz A, Beguin P, Poulain S, Kaneko M, Takahiko C, Matsunaga A, Kato S, Suzuki AM, Bertin N, Lassmann T, Vigot R, Carninci P, Plessy C, Launey T, Graur D, Lee D, Kapoor A, Chakravarti A, Friis-Nielsen J, Izarzugaza JM, Brunak S, Chakraborty A, Basak J, Mukhopadhyay A, Soibam BS, Das D, Biswas N, Das S, Sarkar S, Maitra A, Panda C, Majumder P, Morsy H, Gaballah A, Samir M, Shamseya M, Mahrous H, Ghazal A, Arafat W, Hashish M, Gruber JJ, Jaeger N, Snyder M, Patel K, Bowman S, Davis T, Kraushaar D, Emerman A, Russello S, Henig N, Hendrickson C, Zhang K, Rodriguez-Dorantes M, Cruz-Hernandez CD, Garcia-Tobilla CDP, Solorzano-Rosales S, Jäger N, Chen J, Haile R, Hitchins M, Brooks JD, Snyder M, Jiménez-Morales S, Ramírez M, Nuñez J, Bekker V, Leal Y, Jiménez E, Medina A, Hidalgo A, Mejía J, Halytskiy V, Naggert J, Collin GB, DeMauro K, Hanusek R, Nishina PM, Belhassa K, Belhassan K, Bouguenouch L, Samri I, Sayel H, moufid FZ, El Bouchikhi I, Trhanint S, Hamdaoui H, Elotmani I, Khtiri I, Kettani O, Quibibo L, Ahagoud M, Abbassi M, Ouldim K, Marusin AV, Kornetov AN, Swarovskaya M, Vagaiceva K, Stepanov V, De La Paz EMC, Sy R, Nevado J, Reganit P, Santos L, Magno JD, Punzalan FE, Ona D, Llanes E, Santos-Cortes RL, Tiongco R, Aherrera J, Abrahan L, Pagauitan-Alan P; The Philippine Cardiogenomics Study Group, Morelli KH, Domire JS, Pyne N, Harper S, Burgess R, Zhalbinova M, Akilzhanova A, Rakhimova S, Bekbosynova M, Myrzakhmetova S, Gari MA, Dallol A, Alsehli H, Gari A, Gari M, Abuzenadah A, Thomas M, Sukhai M, Garg S, Misyura M, Zhang T, Schuh A, Stockley T, Kamel-Reid S, Sherry S, Xiao C, Slotta D, Rodarmer K, Feolo M, Kimelman M, Godynskiy G, O’Sullivan C, Yaschenko E, Xiao C, Yaschenko E, Sherry S, Rangel-Escareño C, Rueda-Zarate H, Tayubi IA, Mohammed R; on behalf of 1, Ahmed I, Ahmed T, Seth S, Amin S, Song X, Mao X, Sun H, Verhaak RG, Futreal A, Zhang J, Whiite SJ, Chiang T, English A, Farek J, Kahn Z, Salerno W, Veeraraghavan N, Boerwinkle E, Gibbs R, Kasukawa T, Lizio M, Harshbarger J, Hisashi S, Severin J, Imad A, Sahin S, Freeman TC, Baillie K, Sandelin A, Carninci P, Forrest ARR, Kawaji H; The FANTOM Consortium, Salerno W, English A, Shekar SN, Mangubat A, Bruestle J, Boerwinkle E, Gibbs RA, Salem AH, Ali M, Ibrahim A, Ibrahim M, Barrera HA, Garza L, Torres JA, Barajas V, Ulloa-Aguirre A, Kershenobich D, Mortaji S, Guizar P, Loera E, Moreno K, De León A, Monsiváis D, Gómez J, Cardiel R, Fernandez-Lopez JC, Bonifaz-Peña V, Rangel-Escareño C, Hidalgo-Miranda A, Contreras AV, Polfus L; CHARGE and NHLBI Exome Sequence Project Working Groups, Wang X, Philip V, Carter G, Abuzenadah AA, Gari M, Turki R, Dallol A, Uyar A, Kaygun A, Zaman S, Marquez E, George J, Ucar D, Hendrickson CL, Emerman A, Kraushaar D, Bowman S, Henig N, Davis T, Russello S, Patel K, Starr DB, Baird M, Kirkpatrick B, Sheets K, Nitsche R, Prieto-Lafuente L, Landrum M, Lee J, Rubinstein W, Maglott D, Thavanati PKR, de Dios AE, Hernandez REN, Aldrate MEA, Mejia MRR, Kanala KRR, Abduljaleel Z, Khan W, Al-Allaf FA, Athar M, Taher MM, Shahzad N, Bouazzaoui A, Huber E, Dan A, Al-Allaf FA, Herr W, Sprotte G, Köstler J, Hiergeist A, Gessner A, Andreesen R, Holler E, Al-Allaf F, Alashwal A, Abduljaleel Z, Taher M, Bouazzaoui A, Abalkhail H, Al-Allaf A, Bamardadh R, Athar M, Filiptsova O, Kobets M, Kobets Y, Burlaka I, Timoshyna I, Filiptsova O, Kobets MN, Kobets Y, Burlaka I, Timoshyna I, Filiptsova O, Kobets MN, Kobets Y, Burlaka I, Timoshyna I, Al-allaf FA, Mohiuddin MT, Zainularifeen A, Mohammed A, Abalkhail H, Owaidah T, Bouazzaoui A. Srivastava AK, et al. Hum Genomics. 2016 May 26;10 Suppl 1(Suppl 1):12. doi: 10.1186/s40246-016-0063-5. Hum Genomics. 2016. PMID: 27294413 Free PMC article.
Bahrami, A. Khoshzaban, S. Heidari Keshal P5 Obesity and the incidence of apolipoprotein E polymorphisms in an assorted population from Saudi Arabia population K. ...Davis, R. Xu, S. Gebeab, P Riestra, A Gaye, R. Khan, J. Wilson, A. Bidulescu P49 Co
Bahrami, A. Khoshzaban, S. Heidari Keshal P5 Obesity and the incidence of apolipoprotein E polymorphisms in an assorted population
Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study.
Li Z, Xia Y, Feng LN, Chen JR, Li HM, Cui J, Cai QQ, Sim KS, Nairismägi ML, Laurensia Y, Meah WY, Liu WS, Guo YM, Chen LZ, Feng QS, Pang CP, Chen LJ, Chew SH, Ebstein RP, Foo JN, Liu J, Ha J, Khoo LP, Chin ST, Zeng YX, Aung T, Chowbay B, Diong CP, Zhang F, Liu YH, Tang T, Tao M, Quek R, Mohamad F, Tan SY, Teh BT, Ng SB, Chng WJ, Ong CK, Okada Y, Raychaudhuri S, Lim ST, Tan W, Peng RJ, Khor CC, Bei JX. Li Z, et al. Lancet Oncol. 2016 Sep;17(9):1240-7. doi: 10.1016/S1470-2045(16)30148-6. Epub 2016 Jul 25. Lancet Oncol. 2016. PMID: 27470079 Free PMC article.
BACKGROUND: Extranodal natural killer T-cell lymphoma (NKTCL), nasal type, is a rare and aggressive malignancy that occurs predominantly in Asian and Latin American populations. Although Epstein-Barr virus infection is a known risk factor, other risk factors and the …
BACKGROUND: Extranodal natural killer T-cell lymphoma (NKTCL), nasal type, is a rare and aggressive malignancy that occurs predominan …
Genetic variability and population diversity of the human SLCO (OATP) transporter family.
Zhang B, Lauschke VM. Zhang B, et al. Pharmacol Res. 2019 Jan;139:550-559. doi: 10.1016/j.phrs.2018.10.017. Epub 2018 Oct 22. Pharmacol Res. 2019. PMID: 30359687 Free article.
However, current frequency data of these variants and haplotypes is generally based on few rather heterogenous populations of relatively small sample size. Furthermore, the genetic variability beyond these selected pharmacogenetic biomarkers has not been systematica …
However, current frequency data of these variants and haplotypes is generally based on few rather heterogenous populations of relativ …
sim1000G: a user-friendly genetic variant simulator in R for unrelated individuals and family-based designs.
Dimitromanolakis A, Xu J, Krol A, Briollais L. Dimitromanolakis A, et al. BMC Bioinformatics. 2019 Jan 15;20(1):26. doi: 10.1186/s12859-019-2611-1. BMC Bioinformatics. 2019. PMID: 30646839 Free PMC article.
BACKGROUND: Simulation of genetic variants data is frequently required for the evaluation of statistical methods in the fields of human and animal genetics. ...Its implementation will facilitate the application and development of computational methods for associatio …
BACKGROUND: Simulation of genetic variants data is frequently required for the evaluation of statistical methods in the fields of …
Diverse type 2 diabetes genetic risk factors functionally converge in a phenotype-focused gene network.
Sandor C, Beer NL, Webber C. Sandor C, et al. PLoS Comput Biol. 2017 Oct 23;13(10):e1005816. doi: 10.1371/journal.pcbi.1005816. eCollection 2017 Oct. PLoS Comput Biol. 2017. PMID: 29059180 Free PMC article.
Type 2 Diabetes (T2D) constitutes a global health burden. Efforts to uncover predisposing genetic variation have been considerable, yet detailed knowledge of the underlying pathogenesis remains poor. ...Although convergence was observed at the pathway level, few of …
Type 2 Diabetes (T2D) constitutes a global health burden. Efforts to uncover predisposing genetic variation have been consider …
Exome sequencing reveals novel genetic loci influencing obesity-related traits in Hispanic children.
Sabo A, Mishra P, Dugan-Perez S, Voruganti VS, Kent JW Jr, Kalra D, Cole SA, Comuzzie AG, Muzny DM, Gibbs RA, Butte NF. Sabo A, et al. Obesity (Silver Spring). 2017 Jul;25(7):1270-1276. doi: 10.1002/oby.21869. Epub 2017 May 16. Obesity (Silver Spring). 2017. PMID: 28508493 Free PMC article.
Association analyses of 74 obesity-related traits and exonic variants were performed using SeqMeta software. Rare autosomal variants were analyzed using gene-based association analyses, and common autosomal variants were analyzed at the SNV level. RESULTS: (1) Ra
Association analyses of 74 obesity-related traits and exonic variants were performed using SeqMeta software. Rare autosomal variants …
Genetic epidemiology of pharmacogenetic variants in South East Asian Malays using whole-genome sequences.
Sivadas A, Salleh MZ, Teh LK, Scaria V. Sivadas A, et al. Pharmacogenomics J. 2017 Oct;17(5):461-470. doi: 10.1038/tpj.2016.39. Epub 2016 May 31. Pharmacogenomics J. 2017. PMID: 27241059
Deep whole-genome sequencing of diverse ethnic populations provides a unique opportunity to study rare and common pharmacogenomic markers that often vary in frequency across populations. ...We investigated the allelic diversity of potenti …
Deep whole-genome sequencing of diverse ethnic populations provides a unique opportunity to study rare and common
Population genetics-informed meta-analysis in seven genes associated with risk to dengue fever disease.
Oliveira M, Saraiva DP, Cavadas B, Fernandes V, Pedro N, Casademont I, Koeth F, Alshamali F, Harich N, Cherni L, Sierra B, Guzman MG, Sakuntabhai A, Pereira L. Oliveira M, et al. Infect Genet Evol. 2018 Aug;62:60-72. doi: 10.1016/j.meegid.2018.04.018. Epub 2018 Apr 17. Infect Genet Evol. 2018. PMID: 29673983
Population genetics theory predicted that rare frequent markers would be the main contributors for heritability of complex diseases, but meta-analyses of genome-wide association studies are revealing otherwise common markers, present in all population
Population genetics theory predicted that rare frequent markers would be the main contributors for heritability of complex dis
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