The goals of the IGVF Data Administrative and Coordinating Center (DACC) are to support the IGVF Consortium by defining and establishing a strategy that connects all participants to the project’s science. By creating avenues of access that distribute these data to the greater biological research community, the DACC provides a critical connection between scientific producers and consumers.

HG012012

A Data and Administrative Coordinating Center for the Impact of Genomic Variation on Function Consortium

j-michael-cherry

Corinn Small

J. Michael Cherry, Stanford

J. Michael Cherry

HG011972

Stanford Center for Connecting DNA Variants to Function and Phenotype

HG012010

Comprehensive characterization of variants underlying heart and blood diseases with CRISPR base editing

HG011996

Multiscale functional characterization of genomic variation in human developmental disorders

HG011989

Molecular phenotyping of ~100,000 coding variants across Mendelian disease genes

HG012103

Deciphering the Genomics of Gene Network Regulation of T Cell and Fibroblast States in Autoimmune Inflammation

HG012053

High-Throughput Functional Annotation of Gene Regulatory Elements and Variants Critical to Complex Cellular Phenotypes

HG012077

Center for Mouse Genomic Variation at Single Cell Resolution

HG012070

WashU-Northwestern Genomic Variation and Function Data and Administrative Coordinating Center

HG012079

Leveraging genetic variation to dissect gene regulatory networks of reprogramming to pluripotency

HG011966

Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systems

HG011952

Predicting the Impact of Genomic Variation on Cellular States

HG012047

Defining causal roles of genomic variants on gene regulatory networks with spatiotemporally-resolved single-cell multiomics

HG012064

Predictive Modeling of the Functional and Phenotypic Impacts of Genetic Variants

HG011986

A foundational resource of functional elements, TF footprints and gene regulatory interactions

HG011969

The Center for Actionable Variant Analysis; measuring variant function at scale

R00HG012203

New Approaches for leveraging single-cell data to identify disease-critical genes and gene sets

HG012022

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

HG012039

Linking Variants to Multi-scale Phenotypes via a Synthesis of Subnetwork Inference and Deep Learning

HG012003

Systematic in vivo characterization of disease-associated regulatory variants

HG012051

Genomic control of gene regulatory networks governing early human lineage decisions

HG012009

Predicting the impact of genetic variants, genes and pathways on human disease

HG012041

Linking genome variation to transcriptional network dynamics in human B cells

HG012069

Predicting context-specific molecular and phenotypic effects of genetic variation through the lens of the cis-regulatory code

HG012076

Single-cell Mapping Center for Human Regulatory Elements and Gene Activity

Community

ENCODE

HG011967

Design, prediction, and prioritization of systematic perturbations of the human genome

affiliate

IGVF affiliate

HG012059

The impact of genomic variation on environment-induced changes in pancreatic beta-cell states

data-submission

Khine Lin

Data Submission[nopanel]

frederick-roth

Frederick Roth, UToronto

maureen-sartor

Maureen Sartor, UMich

jason-ernst

Jason Ernst, UCLA

alkes-price

Alkes Price, Harvard

lars-steinmetz

Lars Steinmetz, Stanford

grant-macgregor

Grant MacGregor, UCI

predrag-radivojac

Predrag Radivojac, Northeastern

danwei-huangfu

Danwei Huangfu, MSKCC

sreeram-kannan

Sreeram Kannan, UPenn

kyle-gaulton

Kyle Gaulton, UCSD

maike-sander

Maike Sander, UCSD

jie-liu

Jie Liu, UMich

encode

ENCODE Project, NHGRI

anshul-kundaje

Anshul Kundaje, Stanford

thomas-quertermous

Thomas Quertermous, Stanford

daniel-bauer

Daniel Bauer, HSCI

martin-kircher

Martin Kircher, BIH

zhiping-weng

Zhiping Weng, UMass

leif-ludwig

Leif Ludwig, MDC

jimmie-ye

Jimmie Ye, UCSF

community

External Lab, Community

robert-steiner

Robert Steiner, PreventionGenetics

christina-leslie

Christina Leslie, MSKCC

lior-pachter

Lior Pachter, Caltech

ali-mortazavi

Ali Mortazavi, UCI

charles-gersbach

Charles Gersbach, Duke

andrew-allen

Andrew Allen, Duke

doug-fowler

Doug Fowler, UW

ryan-corces

Ryan Corces, Gladstone Institute UCSF

anne-carpenter

Anne Carpenter, Broad

david-hill

David Hill, DFCI

qiongshi-lu

Qiongshi Lu, UW Madison

vikas-pejaver

Vikas Pejaver, MSSM

ansuman-satpathy

Ansuman Satpathy, Stanford

kushal-dey

Kushal Dey, MSKCC

laura-donlin

Laura Donlin, HSS

bill-majoros

Bill Majoros, Duke

len-pennacchio

Len Pennacchio, Lawrence Berkeley

gary-hon

Gary Hon, UT

anna-katerina-hadjantonakis

Anna-Katerina Hadjantonakis, MSKCC

alexander-rudensky

Alexander Rudensky, MSKCC

gregory-crawford

Gregory Crawford, Duke

w-lee-kraus

William Kraus, UT

xihong-lin

Xihong Lin, HSPH

hongjun-song

Hongjun Song, UPenn

alexis-battle

Alexis Battle, JHU

steven-gazal

Steven Gazal, USC

hilary-finucane

Hilary Finucane, Broad

nhgri

Mike Pazin, NHGRI

soumya-raychaudhuri

Soumya Raychaudhuri, Brigham and Women's Hospital

shamil-sunyaev

Shamil Sunyaev, Brigham and Women's Hospital

mark-craven

Mark Craven, UW Madison

mikko-taipale

Mikko Taipale, UToronto

livnat-jerby

Livnat Jerby, Stanford

manuel-garber

Manuel Garber, UMass

jay-shendure

Jay Shendure, UW

alan-boyle

Alan Boyle, UMich

michael-bassik

Michael Bassik, Stanford

benjamin-kleinstiver

Benjamin Kleinstiver, MGH

jesse-engreitz

Jesse Engreitz, Stanford

jonathan-pritchard

Jonathan Pritchard, Stanford

stephen-montgomery

Stephen Montgomery, Stanford

noah-zaitlen

Noah Zaitlen, UCSF

bradley-bernstein

Bradley Bernstein, Broad

ting-wang

Ting Wang, WashU

tim-reddy

Tim Reddy, Duke

jill-moore

Jill Moore, UMass

harinder-singh

Harinder Singh, University of Pittsburgh