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13390 results for ""60+mice"+"6+weeks"+diet+study+2014+2017+DOI"

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General Study Dataset

Type

blog dac dataset documentation study

Repository

dbgap ega jga

Federated ega

finland norway poland spain sweden

Study type

affected sib pairs aggregate genomic data amplicon sequencing atac sequencing cancer genomics case set case-cohort case-control clinical cohort clinical diagnostic testing clinical genetic testing clinical trial cohort collection community control set controlled trial copy number variation (cnv) cross-sectional double-blind electronic medical records epigenetics eqtl exome sequencing extended pedigrees family family linkage forensic or paleo-genomics full transcriptome sequencing gene regulation study genotype genotype/expression genotype/expression array gwas individual-level genomic data interventional longitudinal longitudinal cohort marker discovery mendelian meta-analysis metagenomics metastasis methods development mixed multicenter multiplex families nested case-control nuclear families observational other parent-offspring parent-offspring trios partial factorial randomized phase iii placebo-controlled pooled clone sequencing population population genomics population-based control set probands prospective quantitative cross-sectional randomized randomized controlled clinical trial reference set resequencing rna sequencing rnaseq sequencing sibling cohort single cell analysis single cell rna sequence single cell rna sequencing single patient snp array analysis stem cell lines synthetic genomics targeted capture sequence transcriptome analysis transcriptome sequencing transcriptome sequencing (tumor only) tumor tumor vs. matched-normal twin virus capture sequencing whole genome sequencing whole-genome bisulfite sequencing xenograft

Dataset types

amplicon sequencing chip-seq chromatin accessibility profiling by high-throughput sequencing exome sequencing genomic variant calling genotyping by array histone modification profiling by high-throughput sequencing methylation binding domain sequencing methylation profiling by high-throughput sequencing phenotype information study summary information transcriptome profiling by array transcriptome profiling by high-throughput sequencing whole genome sequencing

Dataset technologies

ab 3730xl genetic analyzer ab 5500xl genetic analyzer ab solid 4 system affy mirna 3.0 array affymetrics axiom snp array 2.0 affymetrix affymetrix 6.0 array affymetrix 6.0; cytoscan affymetrix axiom genome-wide asi 1 array affymetrix axiom genome-wide human origins array affymetrix biobank array affymetrix oncoscan ffpe express affymetrix, thermo fisher scientific agilent human mirna microarray axiom uk biobank array bgiseq-500 clariomâ„¢ d human assay complete genomics coreexome illumina snp chip array dnbseq-g400 dnbseq-t7 epic beadchip h and e image hiseq x five hiseq x ten human cardio metabochip human clariom d arrays human genome u219 array plate humanht-12 illumina illumina (epic array) illumina 450k illumina cardio-metabochip illumina genome analyzer illumina genome analyzer ii illumina genome analyzer iix illumina global screening array illumina gsa v1.0 illumina hiscansq illumina hiseq 1000 illumina hiseq 1500 illumina hiseq 2000 illumina hiseq 2500 illumina hiseq 3000 illumina hiseq 4000 illumina hiseq x illumina human core exome 12v1-1_a illumina human omni1-quad beadchip. illumina humancoreexome beadchip array illumina humancoreexome-12v1-1_a illumina humancoreexome-24v1-0 illumina humancoreexome-24v1-1 illumina humanmethylation450 illumina humanomni1-quad_v1-0 illumina humanomni1-quad_v1-0, humanomniexpress-12-v1-0, humanomniexpress-24-v1-1, humanomni25-8v1-2_a1 illumina humanomni2-5_8v1_a illumina humanomni2-5m-8v1-1_b illumina humanomni2.5 illumina humanomni2.5-8 illumina humanomni5-quad and exome sequencing illumina humanomniexpress-12 illumina humanomniexpress-12-v1-0 illumina humanomniexpress-24-v1-1 illumina humanwg-6 illumina humanwg-6 version 3 or illumina humanht-12 expression bead chip, combined on identical nucleotide universal identifiers. illumina infinium epic illumina infinium h3africa (v2) with custom add-ons illumina infinium immunochip illumina infiniumomniexpressexome-8 illumina mega array illumina methylationepic v2.0 illumina miniseq illumina miseq illumina novaseq 6000 illumina novaseq x illumina novaseq x plus illumina omni 2.5 illumina omni 2.5m illumina oncoarray illumina sangerddd_omniexplusv1_15019773 infinium gsa infinium methylationepic array infinium omniexpressexome-8 v.1.3 beadchip ion genestudio s5 ion torrent pgm ion torrent proton ion torrent s5 xl llumina 2.5-8 massarrayiplex genotyping assay using the iplex gold genotyping kit minion nanostring technology nextseq 2000 nextseq 500 nextseq 550 nimblegen hg18 cgh 385k omniexpress omniexpress-24 v1.1 pacbio rs ii pcr-based kasp assay promethion qexactive plus sanger sequencing sequel sequel ii sequel iie sequenom massarray (agena bioscience) somascan 1.3k proteomic assay uk biobank axiomâ„¢ array unspecified

Phenotypes

[CHEBI:33699] [CL:0000037] [CL:0000041] [CL:0000049] [CL:0000050] [CL:0000051] [CL:0000057] [CL:0000084] [CL:0000094] [CL:0000096] [CL:0000235] [CL:0000236] [CL:0000557] [CL:0000576] [CL:0000624] [CL:0000625] [CL:0000765] [CL:0000786] [CL:0000837] [CL:0000842] [CL:0000844] [CL:0000863] [CL:0000890] [CL:0000945] [CL:0002026] [CL:0002057] [CL:2000006] [DOID:0050756] [EFO:0000094] [EFO:0000174] [EFO:0000209] [EFO:0000211] [EFO:0000220] [EFO:0000222] [EFO:0000272] [EFO:0000275] [EFO:0000280] [EFO:0000285] [EFO:0000309] [EFO:0000322] [EFO:0000330] [EFO:0000339] [EFO:0000349] [EFO:0000403] [EFO:0000478] [EFO:0000519] [EFO:0000540] [EFO:0000565] [EFO:0000574] [EFO:0000586] [EFO:0000609] [EFO:0000632] [EFO:0000637] [EFO:0000693] [EFO:0000761] [EFO:0000980] [EFO:0001461] [EFO:0001663] [EFO:0001905] [EFO:0002001] [EFO:0002002] [EFO:0002422] [EFO:0002499] [EFO:0002508] [EFO:0002539] [EFO:0002759] [EFO:0002939] [EFO:0002966] [EFO:0003025] [EFO:0003094] [EFO:0003885] [EFO:0003897] [EFO:0003940] [EFO:0004281] [EFO:0004905] [EFO:0005023] [EFO:0005543] [EFO:0005699] [EFO:0005704] [EFO:0005705] [EFO:0005706] [EFO:0005707] [EFO:0005708] [EFO:0005709] [EFO:0005710] [EFO:0005711] [EFO:0005712] [EFO:0005740] [EFO:0005803] [EFO:0005922] [EFO:0006545] [EFO:0009119] [EFO:0009121] [EFO:0009443] [EFO:0010064] [EFO:1000028] [EFO:1000042] [EFO:1000068] [EFO:1000069] [EFO:1000177] [EFO:1000180] [EFO:1000231] [EFO:1000238] [EFO:1000327] [EFO:1000490] [EFO:1001480] [EFO:1001514] [EFO:1001515] [EFO:1001830] [EFO:1001956] [EFO:1001958] [EFO:1002008] [HP:0000001] [HP:0000002] [HP:0000008] [HP:0000009] [HP:0000010] [HP:0000014] [HP:0000020] [HP:0000022] [HP:0000023] [HP:0000028] [HP:0000032] [HP:0000035] [HP:0000036] [HP:0000045] [HP:0000047] [HP:0000049] [HP:0000062] [HP:0000069] [HP:0000073] [HP:0000076] [HP:0000077] [HP:0000078] [HP:0000079] [HP:0000085] [HP:0000086] [HP:0000089] [HP:0000098] [HP:0000100] [HP:0000104] [HP:0000107] [HP:0000110] [HP:0000118] [HP:0000119] [HP:0000121] [HP:0000125] 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[HP:0002031] [HP:0002032] [HP:0002034] [HP:0002037] [HP:0002058] [HP:0002059] [HP:0002060] [HP:0002061] [HP:0002063] [HP:0002070] [HP:0002072] [HP:0002073] [HP:0002079] [HP:0002086] [HP:0002087] [HP:0002088] [HP:0002090] [HP:0002092] [HP:0002093] [HP:0002094] [HP:0002098] [HP:0002099] [HP:0002104] [HP:0002109] [HP:0002115] [HP:0002118] [HP:0002119] [HP:0002121] [HP:0002123] [HP:0002126] [HP:0002127] [HP:0002132] [HP:0002133] [HP:0002134] [HP:0002143] [HP:0002148] [HP:0002162] [HP:0002164] [HP:0002167] [HP:0002170] [HP:0002186] [HP:0002187] [HP:0002188] [HP:0002194] [HP:0002197] [HP:0002202] [HP:0002205] [HP:0002208] [HP:0002209] [HP:0002212] [HP:0002219] [HP:0002232] [HP:0002236] [HP:0002240] [HP:0002242] [HP:0002247] [HP:0002250] [HP:0002251] [HP:0002263] [HP:0002265] [HP:0002275] [HP:0002281] [HP:0002283] [HP:0002286] [HP:0002307] [HP:0002308] [HP:0002311] [HP:0002315] [HP:0002342] [HP:0002352] [HP:0002353] [HP:0002360] [HP:0002366] [HP:0002370] [HP:0002371] [HP:0002373] [HP:0002376] [HP:0002394] [HP:0002410] [HP:0002414] [HP:0002418] [HP:0002421] [HP:0002435] [HP:0002438] [HP:0002450] [HP:0002453] [HP:0002470] [HP:0002475] [HP:0002500] [HP:0002507] [HP:0002518] [HP:0002539] [HP:0002553] [HP:0002557] [HP:0002558] [HP:0002564] [HP:0002575] [HP:0002577] [HP:0002583] [HP:0002589] [HP:0002591] [HP:0002597] [HP:0002607] [HP:0002633] [HP:0002644] [HP:0002645] [HP:0002648] [HP:0002650] [HP:0002652] [HP:0002664] [HP:0002665] [HP:0002683] [HP:0002705] [HP:0002715] [HP:0002719] [HP:0002721] [HP:0002744] [HP:0002748] [HP:0002756] [HP:0002757] [HP:0002761] [HP:0002763] [HP:0002777] [HP:0002778] [HP:0002779] [HP:0002780] [HP:0002783] [HP:0002788] [HP:0002793] [HP:0002795] [HP:0002803] [HP:0002804] [HP:0002808] [HP:0002813] [HP:0002814] [HP:0002815] [HP:0002817] [HP:0002818] [HP:0002823] [HP:0002825] [HP:0002827] [HP:0002857] [HP:0002907] [HP:0002921] [HP:0002926] [HP:0002937] [HP:0002943] [HP:0002944] [HP:0002949] [HP:0002967] [HP:0002974] [HP:0002977] [HP:0002979] [HP:0002981] [HP:0002991] [HP:0003011] [HP:0003019] [HP:0003026] [HP:0003028] [HP:0003038] [HP:0003043] [HP:0003072] [HP:0003074] [HP:0003111] [HP:0003117] [HP:0003121] [HP:0003128] [HP:0003186] [HP:0003189] [HP:0003196] [HP:0003201] [HP:0003202] [HP:0003271] [HP:0003272] [HP:0003312] [HP:0003316] [HP:0003319] [HP:0003330] [HP:0003336] [HP:0003366] [HP:0003368] [HP:0003393] [HP:0003422] [HP:0003468] [HP:0003498] [HP:0003502] [HP:0003508] [HP:0003510] [HP:0003549] [HP:0003693] [HP:0003763] [HP:0003781] [HP:0003808] [HP:0003839] [HP:0004050] [HP:0004097] [HP:0004099] [HP:0004207] [HP:0004209] [HP:0004233] [HP:0004275] [HP:0004279] [HP:0004297] [HP:0004298] [HP:0004299] [HP:0004305] [HP:0004322] [HP:0004323] [HP:0004324] [HP:0004325] [HP:0004328] [HP:0004329] [HP:0004348] [HP:0004349] [HP:0004360] [HP:0004363] [HP:0004370] [HP:0004372] [HP:0004375] [HP:0004378] [HP:0004383] [HP:0004384] [HP:0004386] [HP:0004387] [HP:0004397] [HP:0004404] [HP:0004414] [HP:0004425] [HP:0004442] [HP:0004467] [HP:0004470] 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[HP:0100545] [HP:0100547] [HP:0100555] [HP:0100556] [HP:0100559] [HP:0100594] [HP:0100627] [HP:0100656] [HP:0100659] [HP:0100660] [HP:0100665] [HP:0100704] [HP:0100705] [HP:0100736] [HP:0100737] [HP:0100738] [HP:0100742] [HP:0100746] [HP:0100755] [HP:0100763] [HP:0100764] [HP:0100790] [HP:0100806] [HP:0100807] [HP:0100817] [HP:0100836] [HP:0100851] [HP:0100852] [HP:0100871] [HP:0100876] [HP:0100886] [HP:0100887] [HP:0200006] [HP:0200007] [HP:0200013] [HP:0200021] [HP:0200053] [HP:0200055] [MONDO:0002598] [MONDO:0002627] [MONDO:0002631] [MONDO:0002728] [MONDO:0003478] [MONDO:0003537] [MONDO:0004050] [MONDO:0004301] [MONDO:0005072] [MONDO:0013296] [MONDO:0016642] [MONDO:0016690] [MONDO:0016691] [MONDO:0016700] [MONDO:0018177] [MONDO:0019470] [MONDO:0019474] [MONDO:0020511] [MONDO:0020560] [MONDO:0100096] [MONDO:0100342] [NCIT:C0549184] [NCIT:C115935] [NCIT:C200033] [NCIT:C27204] [NCIT:C2952] [NCIT:C3099] [NCIT:C3468] [NCIT:C4737] [NCIT:C4873] [Orphanet:110] [Orphanet:183518] [Orphanet:217569] [Orphanet:2322] [Orphanet:3095] [Orphanet:552] [Orphanet:63] [Orphanet:791] [Orphanet:886] [Orphanet:98664] [Orphanet:98892] [PATO:0000461] [UBERON:0001968] [UBERON:0002046] [UBERON:0002371] [UBERON:0002372] [UBERON:0010393] [UBERON:0012168] [UBERON:0013756]

Duo

0000001 0000004 0000005 0000006 0000007 0000010 0000011 0000012 0000014 0000015 0000016 0000017 0000018 0000019 0000020 0000021 0000022 0000024 0000025 0000026 0000027 0000028 0000029 0000042 0000043 0000044 0000045 0000046

Clear

Kenya_GWAS-2.5M_b37_2019

EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Kenya
Dataset EGAD00010001742
Malawi_GWAS-2.5M_b37_2019

EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Malawi
Dataset EGAD00010001741
Cameroon_GWAS-2.5M_b37_2019

EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Cameroon
Dataset EGAD00010001740
BurkinaFaso_GWAS-2.5M_b37_2019

EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:BurkinaFaso
Dataset EGAD00010001739
Gambia_GWAS-2.5M_b37_2019

EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Gambia
Dataset EGAD00010001738
Mali_GWAS-2.5M_b37_2019

EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Mali
Dataset EGAD00010001737
Nigeria_GWAS-2.5M_b37_2019

EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Nigeria
Dataset EGAD00010001736
PNG_GWAS-2.5M_b37_2019

EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:PNG
Dataset EGAD00010001735
Ghana_GWAS-2.5M_b37_2019

EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Ghana
Dataset EGAD00010001734
MalariaGEN_GWAS-2.5M_b37_aligned_phased

EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations: phased genotypes
Dataset EGAD00010001748
MalariaGEN_Gambia-HLA_typing

EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations: Gambian trio HLA typing
Dataset EGAD00010001818
Copy Number Arrays for study EGAS00001004165

Copy Number Alterations arrays from 153 samples performed by Affymetrix 6.0 and Oncoscan CNV platforms
Dataset EGAD00010001841
The Genomic Map of Poland in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000092
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000095
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000093
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000118
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000117
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000116
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000115
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000121
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000120
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000119
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000113
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000112
The Genomic Map of Polad in Open Access

The main goal is to prepare and share WGS/WES of Polish population
Study EGAS50000000111

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