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13304 results for ""pdc"+"heritage+language"+census+study"

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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 hiseq x five hiseq x ten human cardio metabochip human clariom d arrays human genome u219 array plate humanht-12 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 hiseq 1000 illumina hiseq 1500 illumina hiseq 2000 illumina hiseq 2500 illumina hiseq 3000 illumina hiseq 4000 illumina hiseq x 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 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 ion genestudio s5 ion torrent pgm ion torrent proton ion torrent s5 xl llumina 2.5-8 minion nextseq 2000 nextseq 500 nextseq 550 nimblegen hg18 cgh 385k omniexpress omniexpress-24 v1.1 pacbio rs ii 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:0000084 CL:0000094 CL:0000235 CL:0000576 CL:0000837 CL:0000863 CL:0000890 CL:0002057 EFO:0000094 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:0000565 EFO:0000574 EFO:0000586 EFO:0000609 EFO:0000632 EFO:0000637 EFO:0000693 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: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: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 HP:0000126 HP:0000137 HP:0000138 HP:0000152 HP:0000153 HP:0000154 HP:0000157 HP:0000159 HP:0000160 HP:0000161 HP:0000162 HP:0000163 HP:0000164 HP:0000168 HP:0000172 HP:0000174 HP:0000175 HP:0000176 HP:0000177 HP:0000178 HP:0000179 HP:0000185 HP:0000193 HP:0000202 HP:0000212 HP:0000215 HP:0000218 HP:0000219 HP:0000220 HP:0000233 HP:0000234 HP:0000235 HP:0000236 HP:0000238 HP:0000239 HP:0000240 HP:0000243 HP:0000248 HP:0000252 HP:0000253 HP:0000256 HP:0000260 HP:0000268 HP:0000270 HP:0000271 HP:0000276 HP:0000277 HP:0000278 HP:0000280 HP:0000284 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Duo

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

Clear

Type 2 Diabetes Genetic Exploration by Next-generation Sequencing in Multi-Ethnic Samples (T2D-GENES) Follow up Study: Pakistan Genomic Resource (PGR)

The ~52,000 sample Type 2 Diabetes Exome Sequencing project is a collaboration of six consortia with various funding mechanisms that have joined together to investigate genetic variants for type 2 diabetes (T2D) using the largest T2D case/control sample set compiled to date. This includes samples from: Type 2 Diabetes Genetic Exploration by Next-generation sequencing in Multi-Ethnic Samples (T2D-GENES) Genetics of Type 2 Diabetes (GoT2D) Exome Sequencing Project (ESP) Slim Initiative in Genomic Medicine for the Americas (SIGMA) Lundbeck Foundation Centre for Applied Medical Genomics in Personalised Disease Prediction, Prevention, and Care (LuCAMP) Progress in Diabetes Genetics in Youth (ProDIGY) This data generated from the Pakistan Genomic Resource (PGR) cohort was part of the T2-GENES (Type 2 Diabetes Genetic Exploration by Next-generation sequencing in multi-Ethnic Samples) consortium, which is a NIDDK-funded international research consortium that seeks to identify genetic variants for type 2 diabetes (T2D) through multiethnic sequencing studies. The T2D-GENES Project is a multi-ethnic sequencing study designed to assess whether less common variants play a role in T2D risk and to assess similarities and differences in the distribution of T2D risk variants across ancestry groups. The individuals were obtained from over 20 cohorts across the 6 consortia that are listed in Table 1. The strategy was to perform deep exome sequencing of individuals, 24,991 with T2D and 24,953 controls, divided among five ancestry groups: Europeans, East Asians, South Asians, American Hispanics, and African Americans. The T2D-GENES, ProDIGY and SIGMA studies, sequencing was performed at the Broad Institute using the Agilent v2 capture reagent or Illumina Rapid Capture on Illumina HiSeq machines. Please note that while we summarize the full sample list in publications and below, two of the cohorts below are not in dbGAP, due to the samples not being consented for deposition. This includes the Kooperative Gesundheitsforschung in der Region Augsburg (KORA) study and Lundbeck Foundation Centre for Applied Medical Genomics in Personalised Disease Prediction, Prevention, and Care (LuCamp) study. The Exome Sequencing Project (ESP) was deposited in dbGAP as part of their initial study and the phs numbers for that project can be found here: https://esp.gs.washington.edu/drupal/dbGaP_Releases. Table 1. 52,000 sample T2D Case/Control Whole Exome Sequencing Studies Ancestry Consortia Study Countries of Origin # Cases # Controls African American T2D-GENES Project 1 Jackson Heart Study US 502 527 African American T2D-GENES Project 1 Wake Forest School of Medicine Study US 518 532 African American ESP Exome Sequencing Project (ESP) US 467 1374 African American T2D-GENES Follow-Up Study BioMe Biobank Program (BioMe) US 1297 1256 East Asian T2D-GENES Project 1 Korea Association Research Project Korea 526 561 East Asian T2D-GENES Project 1 and Follow-Up Study Singapore Diabetes Cohort Study; Singapore Prospective Study Program Singapore (Chinese) 1486 1568 East Asian T2D-GENES Follow-Up Study Korea SNUH South Korea 450 475 East Asian T2D-GENES Follow-Up Study Research Studies in Hong Kong (Hong Kong) Hong Kong 493 485 European T2D-GENES Project 1 Ashkenazi US, Israel 506 355 European T2D-GENES Project 1 Metabolic Syndrome in Men Study (METSIM) Finland 484 498 European GoT2D Finland-United States Investigation of NIDDM Genetics (FUSION) Study Finland 472 476 European GoT2D Kooperative Gesundheitsforschung in der Region Augsburg (KORA) Germany 97 90 European GoT2D UK Type 2 Diabetes Genetics Consortium (UKT2D) UK 322 320 European GoT2D Malmö-Botnia Study Finland, Sweden 478 443 European LuCamp Lundbeck Foundation Centre for Applied Medical Genomics in Personalised Disease Prediction, Prevention, and Care (LuCamp) Denmark 997 997 European ESP Exome Sequencing Project (ESP) US 390 2843 European T2D-GENES Follow-Up Study Genetics of Diabetes and Audit Research Tayside Study (GoDARTS) Scotland, UK 960 966 European T2D-GENES Follow-Up Study Framingham Heart Study (FHS) US 396 596 Hispanic T2D-GENES Project 1 San Antonio Family Heart Study, San Antonio Family Diabetes/ Gallbladder Study, Veterans Administration Genetic Epidemiology Study, and the Investigation of Nephropathy and Diabetes Study Family Component US 272 218 Hispanic T2D-GENES Project 1 and SIGMA v2 Starr County, Texas US 1762 1738 Hispanic SIGMA v1 Mexico City Diabetes Study Mexico 281 549 Hispanic SIGMA v1 and SIGMA v2 Multiethnic Cohort (MEC) US 1476 1443 Hispanic SIGMA v1 and SIGMA v2 UNAM/INCMNSZ Diabetes Study (UIDS) Mexico 1998 1977 Hispanic SIGMA v1 and SIGMA v2 Diabetes in Mexico Study (DMS) Mexico 1522 1546 Multiethnic ProDIGY Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) US 3097 0 Multiethnic ProDIGY SEARCH for Diabetes in Youth (SEARCH) US 553 0 South Asian T2D-GENES Project 1 London Life Sciences Population Study (LOLIPOP) UK (Indian Asian) 531 538 South Asian T2D-GENES Project 1 and Follow-Up Study Singapore Indian Eye Study Singapore (Indian Asian) 1640 1478 South Asian T2D-GENES Follow-Up Study Pakistan Genomic Resource (PGR) Pakistan 903 930 The PGR study contributed 903 cases and 930 controls to T2D-GENES Follow-Up Study.
Study phs001552
Somatic_mutation_and_clonal_evolution_in_the_human_bladder_WES_NOVASEQ

n this study, we aim to characterise the landscape of mutation and clonal selection in the human bladder. The study includes targeted sequencing of laser-dissected microbiopsies from the bladder. The samples utilised in this study will include urothelium from transplant donors with no history of bladder cancer and cystectomy specimens from patients with bladder cancer.
Study EGAS00001003456
Somatic_mutation_and_clonal_evolution_in_the_human_bladder_TGS

In this study, we aim to characterise the landscape of mutation and clonal selection in the human bladder. The study includes targeted sequencing of laser-dissected microbiopsies from the bladder. The samples utilised in this study will include urothelium from transplant donors with no history of bladder cancer and cystectomy specimens from patients with bladder cancer.
Study EGAS00001002659
Genome Wide Association Study of Subjects with Myalgic Encephalomyelitis (ME)/Chronic Fatigue Syndrome (CFS)

Myalgic encephalomyelitis, also known as chronic fatigue syndrome or ME/CFS, is a complex and heterogeneous disease that severely impacts the health and quality of life of those afflicted. Several lines of evidence support the possibility that ME/CFS development may involve a heritable component. In this pilot study, 42 cases that meet the diagnostic criteria of ME/CFS and 38 healthy controls were consented into this study. The goal of this study was to identify candidate polymorphisms that can be used for a large multi-center screening study.
Study phs001015
ATACseq

ATACseq data for this study.
Study EGAS00001007166
SNParray

SNP array study for UTUC
Study EGAS00001004979
Minnesota Center for Twin and Family Research (MCTFR) Genome-Wide Association Study of Behavioral Disinhibition

This is an epidemiological study of substance abuse and related psychopathology in which the subjects have been drawn from the Minnesota Center for Twin and Family Research (MCTFR). The MCTFR is a large, ongoing, family-based study. It is in part a longitudinal study of two cohorts of adolescent twins and their parents. It additionally includes a parallel longitudinal study of adolescent adoptive siblings, biologically related siblings, and their parents. Over 1500 twin families and 350 adoptive and biological sibling families have been studied, with follow-up assessments occurring approximately every 3 years. The MCTFR gathered detailed, standardized data on study participants including DSM-IIIR and DSM-IV diagnostic interview and questionnaire data. For the Genome-Wide Association Study of Behavioral Disinhibition, parental intake data plus that adolescent data gathered closest to the children 17th birthday (between ages 16.5 and 21) was used.
Study phs000620
CIDR: Discovery, Biology, and Risk of Inherited Variants in Glioma

This is a gliogene brain tumor family study. This study includes glioma cases with a family history of glioma in a first, second, or third degree relative. 
Study phs002250
WTCCC case-control study for Breast cancer - Combined Controls

WTCCC genome-wide case-control association study for Breast cancer (BC) - Combined Controls.
Study EGAS00000000025
Genome-wide association study of severe malaria in Gambian mother-father-child trios

Genome-wide association study of severe malaria in Gambian mother-father-child trios
Study EGAS00000000087

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