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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

HCA_Thymus_Disease_DiGeorge_Transplant_Alex_Kreins_Wellcome_Fellowship_Spatial

Spatial transcriptomics study of thymic transplant biopsies
Study EGAS00001006437
Genetics of Congenital Anomalies of the Kidney and Urinary Tract

The Genetics of Congenital Anomalies of the Kidney and Urinary Tract (CAKUT) contributes data from unrelated individuals who were recruited at the Columbia University Medical Center (New York, USA), the Polish Registry of Congenital Malformations (Poland), the Universities of Parma, Bari, and Brescia, and the Gaslini Institute (Italy), the University of Skopje (Macedonia), and VUMC of Amsterdam (Netherlands). These individuals consented to share their data for scientific discovery. The purpose of the study is to investigate the genetic architecture of CAKUT.  Additionally, part of the data in this study was generated from 418 DNA samples from the Randomized Intervention for Children with Vesicoureteral Reflux (RIVUR) study, and supplied by the NIDDK Central Repository. The RIVUR study was conducted by the RIVUR study investigators, and supported by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). The Genetics of CAKUT study was not conducted in collaboration with investigators of the RIVUR study and does not necessarily reflect the opinions or views of the RIVUR study, the NIDDK Central Repository, or the NIDDK. Genomic DNA samples were genotyped on Illumina Multi-Ethnic Global Arrays.
Study phs001749
NHLBI TOPMed: Boston-Brazil Sickle Cell Disease (SCD) Cohort

This study involves sequencing of patients with a diagnosis of sickle cell disease from Brazil. No exclusionary criteria were employed and any eligible patients that consented to this study were recruited.
Study phs001599
Veterans Administration (VA) Million Veteran Program (MVP) Summary Results from Omics Studies

MVP is an ongoing prospective cohort study and mega-biobank in the Department of Veterans Affairs Healthcare System designed to study genetic influences on health and disease among veterans.
Study phs001672
NHLBI TOPMed: Children's Health Study (CHS) Effects of Air Pollution on the Development of Obesity in Children (Meta-AIR)

The Effects of Air Pollution on the Development of Obesity in Children (Meta-AIR) study was proposed to study a subset of the Children's Health Study (CHS) participants representing the extremes of long-term traffic-related air pollution exposure occurring in Southern California CHS communities. The primary aim of the Meta-AIR study was to investigate whether lifetime exposure to air pollution increases risk for obesity and metabolic dysfunction at 17-18 years of age. A total of 56 Hispanic White participants (16 asthma cases and 40 controls) were included in the TOPMed project.
Study phs001604
Test Study for EGA using data from 1000 Genomes Project - Big CRAM, BAM, VCF and BCF files used for testing

This is a test study for EGA using data from 1000 Genomes Project, specifically created to add more diversity to the existing dataset EGAD00001003338. This Test Study should NOT be confused with the real study of 1000 Genomes Project - Phase 3. Specifically, this study encompasses 4 CRAM, 4 BAM, 2 VCF and 2 BCF files, of different sizes (all above 1 GB), used for testing downloads and monitoring services. It also contains their respective indexes: crai for crams, bai for bams, tbi for vcfs and csi for bcfs.
Study EGAS00001006718
High-Risk Breast Cancer GWAS

The GWAS includes High Risk Women from the following epidemiological studies of breast cancer, comprising a total of 3,719 cases and 3,642 controls (cases/controls: MEC, 0/200; ABCFR, 326/418; FCCC, 56/3; BCFR-UT, 66/32; CNIO-BC, 87/92; GESBC, 65/0; LIFE, 164/0; MARIE, 41/105; MAYO, 208/210; MNYR, 293/409; MSKCC, 310/0; NC-BCFR, 234/233; OFBCR, 553/560; POSH, 377/0; HBOC, 47/47; BBCS, 612/1333; UPENN, 280/0 This study was funded by a grant CA165038 to Christopher Haiman (University of Southern California) and John Hopper (University of Melbourne) from the National Cancer Institute, National Institute of Health. The contributing studies: Multiethnic Cohort (MEC). This study was supported by grant UM1 CA164973 from the National Cancer Institute, National Institute of Health. Ontario Familial Breast Cancer Registry, the Ontario site of the Breast Cancer Family Registry Cohort (OFBCR). This study was supported by grant UM1 CA164920 from the National Cancer Institute. Utah Breast Cancer Family Registry (BCFR-UT). This study was supported by grant UM1 CA164920 from the National Cancer Institute. New York site of the Breast Cancer Family Registry (MNYR). This study was supported by grant UM1 CA164920 from the National Cancer Institute. Northern California site of the Breast Cancer Family Registry (NC-BCFR). This study was supported by grant UM1 CA164920 from the National Cancer Institute. Australian Breast Cancer Family Registry (ABCFR). This study was supported by grant UM1 CA164920 from the National Cancer Institute. Breast Cancer Study (CNIO-BC). This study has been partially funded by The Spanish Network on Rare Diseases (CIBERER) and the Spanish National Genotyping Center (CEGEN). Genetic Epidemiologic Study of Breast Cancer (GESBC). The GESBC was supported by the Deutsche Krebshilfe e. V. [70492] and German Cancer Research Center (DKFZ). Mammary Carcinoma Risk Factor Study (MARIE). This study was supported by the Deutsche Krebshilfe e.V. [70-2892-BR I, 106332, 108253, 108419], the Hamburg Cancer Society, the German Cancer Research Center (DKFZ) and the Federal Ministry of Education and Research (BMBF) Germany [01KH0402]. Prospective study of Outcomes in Sporadic versus Hereditary breast cancer (POSH). Funding for the POSH study was provided by Cancer Research UK (grant refs A7572, A11699, C22524), the Breast Cancer Campaign (grant number: 2013MayPR044) and from 2003-2006 by a grant from The Wessex Cancer Trust. Prospective study of Outcomes in Sporadic versus Hereditary breast cancer (POSH). Funding for the POSH study was provided by Cancer Research UK (grant refs A7572, A11699, C22524), the Breast Cancer Campaign (grant number: 2013MayPR044) and from 2003-2006 by a grant from The Wessex Cancer Trust. Hereditary Breast and ovarian Cancer: Genetic and Molecular Studies (HBOC). This study was supported by National Cancer Institute grant CA58860 and The Lon V Smith Foundation: LVSF-44528. Mayo Clinic inherited breast and ovarian cancer study (MAYO). This study was supported by the Breast Cancer Research Foundation, NIH grants CA192393, CA176785, and an NIH CA116201 Specialized Program of Research Excellence (SPORE) in Breast Cancer. British Breast Cancer Study (BBCS); Mammographic oestrogens and growth factor study (MOG). The BBCS and the MOG study are funded by Cancer Research UK and Breakthrough Breast Cancer and acknowledge NHS funding to the NIHR Biomedical Research Centre, and the National Cancer Research Network (NCRN). Genotyping of non-BRCA1/2 mutation carriers (UPENN). The study is supported by the Basser Research Center at the University of Pennsylvania, Rooney Family Foundation, NIH grants CA176785 and CA192393, the Breast Cancer Research Foundation, the Susan G. Komen Foundation for the Cure and Macdonald Family Foundation. Clinical Significance of Germline BRCA Mutations (MSKCC). The study is supported by the Robert and Kate Niehaus Clinical Cancer Genetics Research Initiative, The Breast Cancer Research Foundation, and the Cancer Center Support Grant from the National Institute of Health, National Cancer Institute 5P30 CA08748-40. Women's Learning the Influence of Family and Environment (LIFE). This study was supported by grants CA17054 and CA74847 from the National Cancer Institute, National Institutes of Health, No. 4PB-0092 from the California Breast Cancer Research Program of the University of California. Philadelphia site of the Breast Cancer Family Registry at Fox Chase Cancer Center (FCCC). This study is supported by NIH grant CA164920.
Study phs000929
NHGRI Genome Integrity of iPSCs Study

The purpose of this study is to compare mutation load in induced pluripotent stem cells derived from skin fibroblasts.
Study phs001277
WTCCC case-control study for Ankylosing Spondylitis - Combined Controls

WTCCC genome-wide case-control association study for Ankylosing Spondylitis (AS) - Combined Controls.
Study EGAS00000000019
WTCCC case-control study for Autoimmune Thyroid Disease - Combined Controls

WTCCC genome-wide case-control association study for Autoimmune Thyroid Disease (ATD) - Combined Controls.
Study EGAS00000000021

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