THADA Gene

Name	thyroid adenoma associated
Description	This gene is the target of 2p21 choromosomal aberrations in benign thyroid adenomas. Single nucleotide polymorphisms (SNPs) in this gene may be associated with type 2 diabetes and polycystic ovary syndrome. The encoded protein is likely involved in the death receptor pathway and apoptosis. [provided by RefSeq, Sep 2016]
Summary	{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nTHADA was first characterized in thyroid adenomas as a gene encoding a death receptor–interacting protein, discovered through chromosomal rearrangements in benign thyroid lesions."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " Genome‐wide studies later implicated common variants in THADA in predisposition to metabolic and endocrine disorders. For example, robust associations of THADA variants have been observed with type 2 diabetes risk"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": "and alterations in insulin secretion and beta‐cell function."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " Moreover, THADA has emerged as one of the susceptibility loci for polycystic ovary syndrome (PCOS) in several populations"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": ", with additional studies reporting associations with PCOS in Asian and Indian cohorts."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "6", "end_ref": "8"}]}, {"type": "t", "text": " A THADA variant has even been linked to prostate cancer risk in a Chinese population."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "9"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nFunctional and mechanistic studies have further illuminated the role of THADA. In the thyroid, chromosomal breakpoints disrupt THADA, and recurrent fusion events involving this gene lead to the overexpression of oncogenic factors such as IGF2BP3, which in turn enhance IGF1 receptor signaling and promote cell proliferation in thyroid cancers."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "10"}]}, {"type": "t", "text": " Investigations in model organisms have provided additional insights: knockout of THADA in Drosophila results in obesity, hyperphagia, decreased energy production, and increased cold sensitivity owing to THADA’s ability to bind and uncouple the sarco/endoplasmic reticulum Ca²⁺ ATPase (SERCA)."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "11"}]}, {"type": "t", "text": " In contrast, studies examining preeclampsia and gestational diabetes have not found significant associations with THADA variants."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "12"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn addition to its genetic associations, THADA appears to mediate critical cellular processes. Epigenetic analyses in skeletal muscle reveal that exercise can decrease methylation at THADA promoter regions, suggesting a potential role in modulating insulin, calcium, and muscle signaling pathways."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "14"}]}, {"type": "t", "text": " Furthermore, in cancer cell studies, treatment with cardiac glycosides reduces THADA expression; RNA interference of THADA similarly suppresses proliferation, an effect reversible by re‐expression of THADA and linked to reductions in the amino acid transporter LAT1."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "15"}]}, {"type": "t", "text": " Collectively, these findings underscore THADA’s emerging role as a regulator of energy homeostasis and endocrine function—a gene that, through both its genetic variants and its involvement in cellular signaling cascades, contributes to the susceptibility to type 2 diabetes, PCOS, thyroid neoplasia, and certain cancers."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "4"}, {"type": "fg_f", "ref": "14"}, {"type": "fg_f", "ref": "5"}, {"type": "fg_fs", "start_ref": "9", "end_ref": "12"}, {"type": "fg_fs", "start_ref": "6", "end_ref": "8"}, {"type": "fg_f", "ref": "13"}, {"type": "fg_f", "ref": "15"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Volkhard Rippe, Norbert Drieschner, Maren Meiboom, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of a gene rearranged by 2p21 aberrations in thyroid adenomas."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncogene (2003)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/sj.onc.1206867"}], "href": "https://doi.org/10.1038/sj.onc.1206867"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "12955091"}], "href": "https://pubmed.ncbi.nlm.nih.gov/12955091"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Eleftheria Zeggini, Laura J Scott, Richa Saxena, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Nat Genet (2008)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/ng.120"}], "href": "https://doi.org/10.1038/ng.120"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "18372903"}], "href": "https://pubmed.ncbi.nlm.nih.gov/18372903"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Niels Grarup, Gitte Andersen, Nikolaj T Krarup, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Association testing of novel type 2 diabetes risk alleles in the JAZF1, CDC123/CAMK1D, TSPAN8, THADA, ADAMTS9, and NOTCH2 loci with insulin release, insulin sensitivity, and obesity in a population-based sample of 4,516 glucose-tolerant middle-aged Danes."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Diabetes (2008)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.2337/db08-0436"}], "href": "https://doi.org/10.2337/db08-0436"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "18567820"}], "href": "https://pubmed.ncbi.nlm.nih.gov/18567820"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Mark O Goodarzi, Michelle R Jones, Xiaohui Li, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Replication of association of DENND1A and THADA variants with polycystic ovary syndrome in European cohorts."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Med Genet (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1136/jmedgenet-2011-100427"}], "href": "https://doi.org/10.1136/jmedgenet-2011-100427"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22180642"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22180642"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Linlin Cui, Han Zhao, Bo Zhang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Genotype-phenotype correlations of PCOS susceptibility SNPs identified by GWAS in a large cohort of Han Chinese women."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Hum Reprod (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/humrep/des424"}], "href": "https://doi.org/10.1093/humrep/des424"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23208300"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23208300"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Sunmin Park, Meiling Liu, Ting Zhang "}, {"type": "b", "children": [{"type": "t", "text": "THADA_rs13429458 Minor Allele Increases the Risk of Polycystic Ovary Syndrome in Asian, but Not in Caucasian Women: A Systematic Review and Meta-Analysis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Horm Metab Res (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1055/a-0969-1872"}], "href": "https://doi.org/10.1055/a-0969-1872"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31487746"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31487746"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Deepa Switha Vishnubotla, Aaji Pasha Shek, Sujatha Madireddi "}, {"type": "b", "children": [{"type": "t", "text": "Pooled genetic analysis identifies variants that confer enhanced susceptibility to PCOS in Indian ethnicity."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Gene (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.gene.2020.144760"}], "href": "https://doi.org/10.1016/j.gene.2020.144760"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32416252"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32416252"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Roshan Dadachanji, Divya Sawant, Anushree Patil, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Replication study of "}, {"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "THADA"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": " rs13429458 variant with PCOS susceptibility and its related traits in Indian women."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Gynecol Endocrinol (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1080/09513590.2021.1906854"}], "href": "https://doi.org/10.1080/09513590.2021.1906854"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33779462"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33779462"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Fan Zhao, Yong Xu, Kuo Yang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "THADA gene polymorphism and prostate cancer risk: a meta-analysis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncol Res Treat (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1159/000360206"}], "href": "https://doi.org/10.1159/000360206"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24685913"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24685913"}]}, {"type": "r", "ref": 10, "children": [{"type": "t", "text": "Federica Panebianco, Lindsey M Kelly, Pengyuan Liu, et al. "}, {"type": "b", "children": [{"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "THADA"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": " fusion is a mechanism of IGF2BP3 activation and IGF1R signaling in thyroid cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Proc Natl Acad Sci U S A (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1073/pnas.1614265114"}], "href": "https://doi.org/10.1073/pnas.1614265114"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28193878"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28193878"}]}, {"type": "r", "ref": 11, "children": [{"type": "t", "text": "Alexandra Moraru, Gulcin Cakan-Akdogan, Katrin Strassburger, et al. "}, {"type": "b", "children": [{"type": "t", "text": "THADA Regulates the Organismal Balance between Energy Storage and Heat Production."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Dev Cell (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.devcel.2017.03.016"}], "href": "https://doi.org/10.1016/j.devcel.2017.03.016"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28399403"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28399403"}]}, {"type": "r", "ref": 12, "children": [{"type": "t", "text": "Ya-Jie Zhang, Lei Li, Zhen-Jing Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Association study between variants in "}, {"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "LHCGR DENND1A"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": " and "}, {"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "THADA"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": " with preeclampsia risk in Han Chinese populations."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Matern Fetal Neonatal Med (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1080/14767058.2018.1472228"}], "href": "https://doi.org/10.1080/14767058.2018.1472228"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29727258"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29727258"}]}, {"type": "r", "ref": 13, "children": [{"type": "t", "text": "Przemysław Ustianowski, Damian Malinowski, Michał Czerewaty, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "Impact of an exercise intervention on DNA methylation in skeletal muscle from first-degree relatives of patients with type 2 diabetes."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Diabetes (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.2337/db11-1653"}], "href": "https://doi.org/10.2337/db11-1653"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23028138"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23028138"}]}, {"type": "r", "ref": 15, "children": [{"type": "t", "text": "Mizuki Katoh, Takuto Fujii, Yoshiaki Tabuchi, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Negative regulation of thyroid adenoma-associated protein (THADA) in the cardiac glycoside-induced anti-cancer effect."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Physiol Sci (2024)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/s12576-024-00914-7"}], "href": "https://doi.org/10.1186/s12576-024-00914-7"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "38561668"}], "href": "https://pubmed.ncbi.nlm.nih.gov/38561668"}]}]}]}
Synonyms	ARMC13, GITA
Proteins	THADA_HUMAN
NCBI Gene ID	63892
API
Download Associations
Predicted Functions
Co-expressed Genes
Expression in Tissues and Cell Lines

Functional Associations

THADA has 6,628 functional associations with biological entities spanning 8 categories (molecular profile, organism, functional term, phrase or reference, chemical, disease, phenotype or trait, structural feature, cell line, cell type or tissue, gene, protein or microRNA) extracted from 107 datasets.

Click the + buttons to view associations for THADA from the datasets below.

If available, associations are ranked by standardized value

Harmonizome 3.0

THADA Gene

Functional Associations

Please acknowledge the Harmonizome in your publications by citing the following reference(s):

	Dataset	Summary
	Achilles Cell Line Gene Essentiality Profiles	cell lines with fitness changed by THADA gene knockdown relative to other cell lines from the Achilles Cell Line Gene Essentiality Profiles dataset.
	Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles	tissues with high or low expression of THADA gene relative to other tissues from the Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles dataset.
	Allen Brain Atlas Adult Mouse Brain Tissue Gene Expression Profiles	tissues with high or low expression of THADA gene relative to other tissues from the Allen Brain Atlas Adult Mouse Brain Tissue Gene Expression Profiles dataset.
	Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles	tissue samples with high or low expression of THADA gene relative to other tissue samples from the Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles dataset.
	Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray	tissue samples with high or low expression of THADA gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray dataset.
	Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq	tissue samples with high or low expression of THADA gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq dataset.
	Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles	tissues with high or low expression of THADA gene relative to other tissues from the Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles dataset.
	BioGPS Cell Line Gene Expression Profiles	cell lines with high or low expression of THADA gene relative to other cell lines from the BioGPS Cell Line Gene Expression Profiles dataset.
	BioGPS Human Cell Type and Tissue Gene Expression Profiles	cell types and tissues with high or low expression of THADA gene relative to other cell types and tissues from the BioGPS Human Cell Type and Tissue Gene Expression Profiles dataset.
	BioGPS Mouse Cell Type and Tissue Gene Expression Profiles	cell types and tissues with high or low expression of THADA gene relative to other cell types and tissues from the BioGPS Mouse Cell Type and Tissue Gene Expression Profiles dataset.
	CCLE Cell Line Gene CNV Profiles	cell lines with high or low copy number of THADA gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset.
	CCLE Cell Line Gene Expression Profiles	cell lines with high or low expression of THADA gene relative to other cell lines from the CCLE Cell Line Gene Expression Profiles dataset.
	CCLE Cell Line Proteomics	Cell lines associated with THADA protein from the CCLE Cell Line Proteomics dataset.
	CellMarker Gene-Cell Type Associations	cell types associated with THADA gene from the CellMarker Gene-Cell Type Associations dataset.
	ChEA Transcription Factor Binding Site Profiles	transcription factor binding site profiles with transcription factor binding evidence at the promoter of THADA gene from the CHEA Transcription Factor Binding Site Profiles dataset.
	ChEA Transcription Factor Targets	transcription factors binding the promoter of THADA gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets dataset.
	ChEA Transcription Factor Targets 2022	transcription factors binding the promoter of THADA gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets 2022 dataset.
	CM4AI U2OS Cell Map Protein Localization Assemblies	assemblies containing THADA protein from integrated AP-MS and IF data from the CM4AI U2OS Cell Map Protein Localization Assemblies dataset.
	CMAP Signatures of Differentially Expressed Genes for Small Molecules	small molecule perturbations changing expression of THADA gene from the CMAP Signatures of Differentially Expressed Genes for Small Molecules dataset.
	COMPARTMENTS Curated Protein Localization Evidence Scores 2025	cellular components containing THADA protein from the COMPARTMENTS Curated Protein Localization Evidence Scores 2025 dataset.
	COMPARTMENTS Text-mining Protein Localization Evidence Scores	cellular components co-occuring with THADA protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores dataset.
	COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025	cellular components co-occuring with THADA protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 dataset.
	COSMIC Cell Line Gene CNV Profiles	cell lines with high or low copy number of THADA gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset.
	COSMIC Cell Line Gene Mutation Profiles	cell lines with THADA gene mutations from the COSMIC Cell Line Gene Mutation Profiles dataset.
	CTD Gene-Chemical Interactions	chemicals interacting with THADA gene/protein from the curated CTD Gene-Chemical Interactions dataset.
	CTD Gene-Disease Associations	diseases associated with THADA gene/protein from the curated CTD Gene-Disease Associations dataset.
	dbGAP Gene-Trait Associations	traits associated with THADA gene in GWAS and other genetic association datasets from the dbGAP Gene-Trait Associations dataset.
	DepMap CRISPR Gene Dependency	cell lines with fitness changed by THADA gene knockdown relative to other cell lines from the DepMap CRISPR Gene Dependency dataset.
	DISEASES Curated Gene-Disease Association Evidence Scores 2025	diseases involving THADA gene from the DISEASES Curated Gene-Disease Association Evidence Scores 2025 dataset.
	DISEASES Experimental Gene-Disease Association Evidence Scores	diseases associated with THADA gene in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores dataset.
	DISEASES Experimental Gene-Disease Association Evidence Scores 2025	diseases associated with THADA gene in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores 2025 dataset.
	DISEASES Text-mining Gene-Disease Association Evidence Scores	diseases co-occuring with THADA gene in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.
	DISEASES Text-mining Gene-Disease Association Evidence Scores 2025	diseases co-occuring with THADA gene in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.
	DisGeNET Gene-Disease Associations	diseases associated with THADA gene in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.
	DisGeNET Gene-Phenotype Associations	phenotypes associated with THADA gene in GWAS and other genetic association datasets from the DisGeNET Gene-Phenoptype Associations dataset.
	ENCODE Histone Modification Site Profiles	histone modification site profiles with high histone modification abundance at THADA gene from the ENCODE Histone Modification Site Profiles dataset.
	ENCODE Transcription Factor Binding Site Profiles	transcription factor binding site profiles with transcription factor binding evidence at the promoter of THADA gene from the ENCODE Transcription Factor Binding Site Profiles dataset.
	ENCODE Transcription Factor Targets	transcription factors binding the promoter of THADA gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset.
	ESCAPE Omics Signatures of Genes and Proteins for Stem Cells	PubMedIDs of publications reporting gene signatures containing THADA from the ESCAPE Omics Signatures of Genes and Proteins for Stem Cells dataset.
	GAD Gene-Disease Associations	diseases associated with THADA gene in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.