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

HG011966

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

ENCODE

HG011972

Stanford Center for Connecting DNA Variants to Function and Phenotype

HG012079

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

HG012047

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

HG012003

Systematic in vivo characterization of disease-associated regulatory variants

HG012041

Linking genome variation to transcriptional network dynamics in human B cells

HG011969

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

HG012022

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

HG012076

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

Community

HG011996

Multiscale functional characterization of genomic variation in human developmental disorders

HG012039

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

HG012077

Center for Mouse Genomic Variation at Single Cell Resolution

HG012051

Genomic control of gene regulatory networks governing early human lineage decisions

HG012064

Predictive Modeling of the Functional and Phenotypic Impacts of Genetic Variants

HG012009

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

HG012070

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

HG012069

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

R00HG012203

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

HG012010

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

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

HG011952

Predicting the Impact of Genomic Variation on Cellular States

HG012059

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

HG011967

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

HG011986

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

affiliate

IGVF affiliate

general-help

Khine Lin

General Help[nopanel]

stephen-montgomery

Stephen Montgomery, Stanford

alan-boyle

Alan Boyle, UMich

anshul-kundaje

Anshul Kundaje, Stanford

jesse-engreitz

Jesse Engreitz, Stanford

luca-pinello

Luca Pinello, MGH

jishnu-das

Jishnu Das, University of Pittsburgh

noah-zaitlen

Noah Zaitlen, UCSF

hyejung-won

Hyejung Won, UNC

feng-yue

Feng Yue, WashU

tom-norman

Tom Norman, MSKCC

anna-katerina-hadjantonakis

Anna-Katerina Hadjantonakis, MSKCC

michael-bassik

Michael Bassik, Stanford

marc-vidal

Marc Vidal, DFCI

mikko-taipale

Mikko Taipale, UToronto

chongyuan-luo

Chongyuan Luo, UCLA

danwei-huangfu

Danwei Huangfu, MSKCC

kim-green

Kim Green, UCI

bing-ren

Bing Ren, UCSD

robert-steiner

Robert Steiner, PreventionGenetics

shamil-sunyaev

Shamil Sunyaev, Brigham and Women's Hospital

harinder-singh

Harinder Singh, University of Pittsburgh

zhiping-weng

Zhiping Weng, UMass

hannah-carter

Hannah Carter, UCSD

michael-love

Michael Love, UNC

jun-wu

Jun Wu, UT

ting-wang

Ting Wang, WashU

axel-visel

Axel Visel, Lawrence Berkeley

anne-carpenter

Anne Carpenter, Broad

maureen-sartor

Maureen Sartor, UMich

predrag-radivojac

Predrag Radivojac, Northeastern

ryan-mills

Ryan Mills, UMich

ansuman-satpathy

Ansuman Satpathy, Stanford

hao-wu

Hao Wu, UPenn

lea-starita

Lea Starita, UW

jill-moore

Jill Moore, UMass

lars-steinmetz

Lars Steinmetz, Stanford

benjamin-kleinstiver

Benjamin Kleinstiver, MGH

michael-beer

Michael Beer, JHU

gregory-crawford

Gregory Crawford, Duke

vikas-pejaver

Vikas Pejaver, MSSM

kushal-dey

Kushal Dey, MSKCC

steven-gazal

Steven Gazal, USC

judy-cho

Judy Cho, Ichan School of Medicine at Mount Sinai

len-pennacchio

Len Pennacchio, Lawrence Berkeley

guillaume-lettre

Guillaume Lettre, MHI

jonathan-pritchard

Jonathan Pritchard, Stanford

joshua-welch

Joshua Welch, UMich

charles-gersbach

Charles Gersbach, Duke

livnat-jerby

Livnat Jerby, Stanford

andrew-allen

Andrew Allen, Duke

community

External Lab, Community

raluca-gordan

Raluca Gordan, Duke

richard-sherwood

Richard Sherwood, Brigham and Women's Hospital

thomas-quertermous

Thomas Quertermous, Stanford

grant-macgregor

Grant MacGregor, UCI

christina-leslie

Christina Leslie, MSKCC

mark-craven

Mark Craven, UW Madison

ali-mortazavi

Ali Mortazavi, UCI

guillaume-bourque

Guillaume Bourque, McGill

hilary-finucane

Hilary Finucane, Broad

encode

ENCODE Project, NHGRI

lior-pachter

Lior Pachter, Caltech

jason-ernst

Jason Ernst, UCLA

jay-shendure

Jay Shendure, UW

xihong-lin

Xihong Lin, HSPH

gary-hon

Gary Hon, UT

alexis-battle

Alexis Battle, JHU

ryan-corces

Ryan Corces, Gladstone Institute UCSF