Harmonizome 3.0

UFM1-specific peptidase 1 (non-functional)

This gene encodes a protein that is similar to other Ufm1-specific proteases. Studies in mouse determined that Ufsp1 releases Ufm1 (ubiquitin-fold modifier 1) from its bound conjugated complexes which also makes it into an active form. Because the human UFSP1 protein is shorter on the N-terminus and lacks a conserved Cys active site, it is predicted to be non-functional.[provided by RefSeq, Nov 2009]

immunoglobulin heavy variable 1-38-4 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor beta variable 6-7 (non-functional)

Predicted to be involved in cell surface receptor signaling pathway. Predicted to be part of T cell receptor complex. Predicted to be active in plasma membrane. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy diversity 3/OR15-3B (non-functional)

immunoglobulin heavy diversity 3/OR15-3A (non-functional)

thymopoietin pseudogene 2 (functional)

T cell receptor beta variable 23/OR9-2 (non-functional)

immunoglobulin lambda variable 5-48 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy variable 3-35 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy variable 3-38 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor beta variable 7-1 (non-functional)

Predicted to be involved in cell surface receptor signaling pathway. Predicted to be part of T cell receptor complex. Predicted to be active in plasma membrane. [provided by Alliance of Genome Resources, Mar 2025]

ATP-binding cassette, sub-family C, member 6 pseudogene 1 (functional)

immunoglobulin kappa variable 3-7 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor alpha joining 25 (non-functional)

T cell receptors recognize foreign antigens which have been processed as small peptides and bound to major histocompatibility complex (MHC) molecules at the surface of antigen presenting cells (APC). Each T cell receptor is a dimer consisting of one alpha and one beta chain or one delta and one gamma chain. In a single cell, the T cell receptor loci are rearranged and expressed in the order delta, gamma, beta, and alpha. If both delta and gamma rearrangements produce functional chains, the cell expresses delta and gamma. If not, the cell proceeds to rearrange the beta and alpha loci. This region represents the germline organization of the T cell receptor alpha and delta loci. Both the alpha and delta loci include V (variable), J (joining), and C (constant) segments and the delta locus also includes diversity (D) segments. The delta locus is situated within the alpha locus, between the alpha V and J segments. During T cell development, the delta chain is synthesized by a recombination event at the DNA level joining a D segment with a J segment; a V segment is then joined to the D-J gene. The alpha chain is synthesized by recombination joining a single V segment with a J segment. For both chains, the C segment is later joined by splicing at the RNA level. Recombination of many different V segments with several J segments provides a wide range of antigen recognition. Additional diversity is attained by junctional diversity, resulting from the random additional of nucleotides by terminal deoxynucleotidyltransferase. Five variable segments can be used in either alpha or delta chains and are described by TRAV/DV symbols. Several V and J segments of the alpha locus are known to be incapable of encoding a protein and are considered pseudogenes. [provided by RefSeq, Aug 2016]

adenosine deaminase, RNA-specific, B2 (non-functional)

This gene encodes a member of the double-stranded RNA adenosine deaminase family of RNA-editing enzymes and may play a regulatory role in RNA editing. [provided by RefSeq, Jul 2008]

immunoglobulin heavy variable 3/OR16-13 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin kappa variable 2D-24 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor gamma variable 10 (non-functional)

Predicted to be involved in adaptive immune response. Predicted to be located in plasma membrane. Predicted to be part of T cell receptor complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy variable 1/OR15-1 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy variable 1/OR15-9 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy constant gamma P (non-functional)

SUMO1 pseudogene 3 (functional)

phosphatase and tensin homolog pseudogene 1 (functional)

PTENP1 represents a highly homologous processed pseudogene of PTEN (phosphatase and tensin homolog), a protein that encodes a tumor suppressor that functions by negatively regulating the AKT/PKB signaling pathway. PTENP1 is found on chromosome 9 and regulates PTEN by both sense and antisense RNAs (Gene ID: 101243555). This long-noncoding RNA (lncRNA) acts as a decoy for PTEN targeting microRNAs and also exerts a tumor suppressive activity. [provided by RefSeq, Jun 2020]

1-aminocyclopropane-1-carboxylate synthase homolog (Arabidopsis)(non-functional)-like

Predicted to enable transaminase activity. Predicted to be involved in amino acid metabolic process. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor alpha joining 19 (non-functional)

T cell receptors recognize foreign antigens which have been processed as small peptides and bound to major histocompatibility complex (MHC) molecules at the surface of antigen presenting cells (APC). Each T cell receptor is a dimer consisting of one alpha and one beta chain or one delta and one gamma chain. In a single cell, the T cell receptor loci are rearranged and expressed in the order delta, gamma, beta, and alpha. If both delta and gamma rearrangements produce functional chains, the cell expresses delta and gamma. If not, the cell proceeds to rearrange the beta and alpha loci. This region represents the germline organization of the T cell receptor alpha and delta loci. Both the alpha and delta loci include V (variable), J (joining), and C (constant) segments and the delta locus also includes diversity (D) segments. The delta locus is situated within the alpha locus, between the alpha V and J segments. During T cell development, the delta chain is synthesized by a recombination event at the DNA level joining a D segment with a J segment; a V segment is then joined to the D-J gene. The alpha chain is synthesized by recombination joining a single V segment with a J segment. For both chains, the C segment is later joined by splicing at the RNA level. Recombination of many different V segments with several J segments provides a wide range of antigen recognition. Additional diversity is attained by junctional diversity, resulting from the random additional of nucleotides by terminal deoxynucleotidyltransferase. Five variable segments can be used in either alpha or delta chains and are described by TRAV/DV symbols. Several V and J segments of the alpha locus are known to be incapable of encoding a protein and are considered pseudogenes. [provided by RefSeq, Aug 2016]

immunoglobulin lambda variable 1-50 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor beta joining 2-2P (non-functional)

myosin light chain kinase pseudogene 1 (functional)

immunoglobulin heavy diversity 1-14 (non-functional)

immunoglobulin heavy diversity 4-11 (non-functional)

immunoglobulin heavy diversity 2/OR15-2B (non-functional)

immunoglobulin heavy diversity 2/OR15-2A (non-functional)

immunoglobulin kappa variable 6D-41 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy variable 4/OR15-8 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin lambda variable 3-32 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor beta variable 17 (non-functional)

Predicted to be involved in cell surface receptor signaling pathway. Predicted to be part of T cell receptor complex. Predicted to be active in plasma membrane. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy variable 3-16 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

vimentin 2, pseudogene (functional)

immunoglobulin heavy diversity 4/OR15-4B (non-functional)

immunoglobulin heavy variable 3/OR16-12 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy variable 3/OR16-10 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor alpha joining 35 (non-functional)

T cell receptors recognize foreign antigens which have been processed as small peptides and bound to major histocompatibility complex (MHC) molecules at the surface of antigen presenting cells (APC). Each T cell receptor is a dimer consisting of one alpha and one beta chain or one delta and one gamma chain. In a single cell, the T cell receptor loci are rearranged and expressed in the order delta, gamma, beta, and alpha. If both delta and gamma rearrangements produce functional chains, the cell expresses delta and gamma. If not, the cell proceeds to rearrange the beta and alpha loci. This region represents the germline organization of the T cell receptor alpha and delta loci. Both the alpha and delta loci include V (variable), J (joining), and C (constant) segments and the delta locus also includes diversity (D) segments. The delta locus is situated within the alpha locus, between the alpha V and J segments. During T cell development, the delta chain is synthesized by a recombination event at the DNA level joining a D segment with a J segment; a V segment is then joined to the D-J gene. The alpha chain is synthesized by recombination joining a single V segment with a J segment. For both chains, the C segment is later joined by splicing at the RNA level. Recombination of many different V segments with several J segments provides a wide range of antigen recognition. Additional diversity is attained by junctional diversity, resulting from the random additional of nucleotides by terminal deoxynucleotidyltransferase. Five variable segments can be used in either alpha or delta chains and are described by TRAV/DV symbols. Several V and J segments of the alpha locus are known to be incapable of encoding a protein and are considered pseudogenes. [provided by RefSeq, Aug 2016]

olfactory receptor, family 10, subfamily D, member 3 (non-functional)

Olfactory receptors interact with odorant molecules in the nose, to initiate a neuronal response that triggers the perception of a smell. The olfactory receptor proteins are members of a large family of G-protein-coupled receptors (GPCR) arising from single coding-exon genes. Olfactory receptors share a 7-transmembrane domain structure with many neurotransmitter and hormone receptors and are responsible for the recognition and G protein-mediated transduction of odorant signals. The olfactory receptor gene family is the largest in the genome. [provided by RefSeq, Jul 2008]

immunoglobulin lambda variable 2-33 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor beta variable 20/OR9-2 (non-functional)

Predicted to be involved in cell surface receptor signaling pathway. Predicted to be active in plasma membrane. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy diversity 4/OR15-4A (non-functional)

immunoglobulin kappa variable 1/OR2-0 (non-functional)

immunoglobulin heavy variable 3/OR16-9 (non-functional)

Predicted to be involved in adaptive immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy variable 3/OR16-8 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy variable 1/OR15-5 (non-functional)

immunoglobulin kappa variable 6D-21 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

high mobility group AT-hook 1 pseudogene 8 (functional)

T cell receptor gamma variable 1 (non-functional)

Predicted to be involved in adaptive immune response. Predicted to be located in plasma membrane. Predicted to be part of T cell receptor complex. Predicted to be active in external side of plasma membrane. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin kappa variable 1D-37 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor alpha joining 58 (non-functional)

T cell receptors recognize foreign antigens which have been processed as small peptides and bound to major histocompatibility complex (MHC) molecules at the surface of antigen presenting cells (APC). Each T cell receptor is a dimer consisting of one alpha and one beta chain or one delta and one gamma chain. In a single cell, the T cell receptor loci are rearranged and expressed in the order delta, gamma, beta, and alpha. If both delta and gamma rearrangements produce functional chains, the cell expresses delta and gamma. If not, the cell proceeds to rearrange the beta and alpha loci. This region represents the germline organization of the T cell receptor alpha and delta loci. Both the alpha and delta loci include V (variable), J (joining), and C (constant) segments and the delta locus also includes diversity (D) segments. The delta locus is situated within the alpha locus, between the alpha V and J segments. During T cell development, the delta chain is synthesized by a recombination event at the DNA level joining a D segment with a J segment; a V segment is then joined to the D-J gene. The alpha chain is synthesized by recombination joining a single V segment with a J segment. For both chains, the C segment is later joined by splicing at the RNA level. Recombination of many different V segments with several J segments provides a wide range of antigen recognition. Additional diversity is attained by junctional diversity, resulting from the random additional of nucleotides by terminal deoxynucleotidyltransferase. Five variable segments can be used in either alpha or delta chains and are described by TRAV/DV symbols. Several V and J segments of the alpha locus are known to be incapable of encoding a protein and are considered pseudogenes. [provided by RefSeq, Aug 2016]

immunoglobulin kappa variable 1/OR2-108 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

1-aminocyclopropane-1-carboxylate synthase homolog (Arabidopsis)(non-functional)

Enables identical protein binding activity. Predicted to be involved in amino acid metabolic process. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor alpha joining 61 (non-functional)

T cell receptors recognize foreign antigens which have been processed as small peptides and bound to major histocompatibility complex (MHC) molecules at the surface of antigen presenting cells (APC). Each T cell receptor is a dimer consisting of one alpha and one beta chain or one delta and one gamma chain. In a single cell, the T cell receptor loci are rearranged and expressed in the order delta, gamma, beta, and alpha. If both delta and gamma rearrangements produce functional chains, the cell expresses delta and gamma. If not, the cell proceeds to rearrange the beta and alpha loci. This region represents the germline organization of the T cell receptor alpha and delta loci. Both the alpha and delta loci include V (variable), J (joining), and C (constant) segments and the delta locus also includes diversity (D) segments. The delta locus is situated within the alpha locus, between the alpha V and J segments. During T cell development, the delta chain is synthesized by a recombination event at the DNA level joining a D segment with a J segment; a V segment is then joined to the D-J gene. The alpha chain is synthesized by recombination joining a single V segment with a J segment. For both chains, the C segment is later joined by splicing at the RNA level. Recombination of many different V segments with several J segments provides a wide range of antigen recognition. Additional diversity is attained by junctional diversity, resulting from the random additional of nucleotides by terminal deoxynucleotidyltransferase. Five variable segments can be used in either alpha or delta chains and are described by TRAV/DV symbols. Several V and J segments of the alpha locus are known to be incapable of encoding a protein and are considered pseudogenes. [provided by RefSeq, Aug 2016]

T cell receptor alpha variable 8-7 (non-functional)

T cell receptors recognize foreign antigens which have been processed as small peptides and bound to major histocompatibility complex (MHC) molecules at the surface of antigen presenting cells (APC). Each T cell receptor is a dimer consisting of one alpha and one beta chain or one delta and one gamma chain. In a single cell, the T cell receptor loci are rearranged and expressed in the order delta, gamma, beta, and alpha. If both delta and gamma rearrangements produce functional chains, the cell expresses delta and gamma. If not, the cell proceeds to rearrange the beta and alpha loci. This region represents the germline organization of the T cell receptor alpha and delta loci. Both the alpha and delta loci include V (variable), J (joining), and C (constant) segments and the delta locus also includes diversity (D) segments. The delta locus is situated within the alpha locus, between the alpha V and J segments. During T cell development, the delta chain is synthesized by a recombination event at the DNA level joining a D segment with a J segment; a V segment is then joined to the D-J gene. The alpha chain is synthesized by recombination joining a single V segment with a J segment. For both chains, the C segment is later joined by splicing at the RNA level. Recombination of many different V segments with several J segments provides a wide range of antigen recognition. Additional diversity is attained by junctional diversity, resulting from the random additional of nucleotides by terminal deoxynucleotidyltransferase. Five variable segments can be used in either alpha or delta chains and are described by TRAV/DV symbols. Several V and J segments of the alpha locus are known to be incapable of encoding a protein and are considered pseudogenes. [provided by RefSeq, Aug 2016]

T cell receptor beta variable 5-7 (non-functional)

Predicted to be involved in cell surface receptor signaling pathway. Predicted to be part of T cell receptor complex. Predicted to be active in plasma membrane. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor beta variable 5-3 (non-functional)

Predicted to be involved in cell surface receptor signaling pathway. Predicted to be part of T cell receptor complex. Predicted to be active in plasma membrane. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin kappa variable 6-21 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy variable 2/OR16-5 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy diversity 4-23 (non-functional)

immunoglobulin heavy variable 7-81 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy diversity 5/OR15-5B (non-functional)

immunoglobulin heavy diversity 5/OR15-5A (non-functional)

immunoglobulin heavy diversity 1/OR15-1B (non-functional)

immunoglobulin heavy diversity 1/OR15-1A (non-functional)

metallothionein 1D, pseudogene (functional)

Predicted to enable metal ion binding activity. Predicted to be involved in several processes, including cellular response to zinc ion; detoxification of copper ion; and intracellular zinc ion homeostasis. Predicted to be active in cytoplasm and nucleus. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin heavy variable 1/OR21-1 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

fer-1-like family member 4, pseudogene (functional)

Predicted to enable metal ion binding activity. Predicted to be located in membrane. [provided by Alliance of Genome Resources, Mar 2025]

solute carrier organic anion transporter family, member 1B7 (non-functional)

Predicted to enable bile acid transmembrane transporter activity and sodium-independent organic anion transmembrane transporter activity. Predicted to be involved in bile acid and bile salt transport and sodium-independent organic anion transport. Predicted to be located in plasma membrane. Predicted to be active in basolateral plasma membrane. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin kappa variable 1-37 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor beta variable 23-1 (non-functional)

Predicted to be involved in cell surface receptor signaling pathway. Predicted to be located in immunological synapse. Predicted to be part of T cell receptor complex. Predicted to be active in plasma membrane. [provided by Alliance of Genome Resources, Mar 2025]

T cell receptor alpha joining 59 (non-functional)

T cell receptors recognize foreign antigens which have been processed as small peptides and bound to major histocompatibility complex (MHC) molecules at the surface of antigen presenting cells (APC). Each T cell receptor is a dimer consisting of one alpha and one beta chain or one delta and one gamma chain. In a single cell, the T cell receptor loci are rearranged and expressed in the order delta, gamma, beta, and alpha. If both delta and gamma rearrangements produce functional chains, the cell expresses delta and gamma. If not, the cell proceeds to rearrange the beta and alpha loci. This region represents the germline organization of the T cell receptor alpha and delta loci. Both the alpha and delta loci include V (variable), J (joining), and C (constant) segments and the delta locus also includes diversity (D) segments. The delta locus is situated within the alpha locus, between the alpha V and J segments. During T cell development, the delta chain is synthesized by a recombination event at the DNA level joining a D segment with a J segment; a V segment is then joined to the D-J gene. The alpha chain is synthesized by recombination joining a single V segment with a J segment. For both chains, the C segment is later joined by splicing at the RNA level. Recombination of many different V segments with several J segments provides a wide range of antigen recognition. Additional diversity is attained by junctional diversity, resulting from the random additional of nucleotides by terminal deoxynucleotidyltransferase. Five variable segments can be used in either alpha or delta chains and are described by TRAV/DV symbols. Several V and J segments of the alpha locus are known to be incapable of encoding a protein and are considered pseudogenes. [provided by RefSeq, Aug 2016]

immunoglobulin heavy variable 3-38-3 (non-functional)

Predicted to enable antigen binding activity. Predicted to be involved in immunoglobulin mediated immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin lambda variable 11-55 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

immunoglobulin lambda joining 5 (non-functional)

immunoglobulin lambda joining 4 (non-functional)

immunoglobulin kappa variable 3/OR2-268 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

dipeptidyl-peptidase 10 (non-functional)

This gene encodes a single-pass type II membrane protein that is a member of the S9B family in clan SC of the serine proteases. This protein has no detectable protease activity, most likely due to the absence of the conserved serine residue normally present in the catalytic domain of serine proteases. However, it does bind specific voltage-gated potassium channels and alters their expression and biophysical properties. Mutations in this gene have been associated with asthma. Alternate transcriptional splice variants, encoding different isoforms, have been characterized. [provided by RefSeq, Jul 2008]

1-aminocyclopropane-1-carboxylate synthase homolog (Arabidopsis)(non-functional)-like pseudogene

immunoglobulin heavy diversity 5-24 (non-functional)

T cell receptor beta variable 29/OR9-2 (non-functional)

Kirsten rat sarcoma viral oncogene homolog pseudogene 1 (functional)

T cell receptor gamma variable 11 (non-functional)

Predicted to be involved in adaptive immune response. Predicted to be located in external side of plasma membrane. Predicted to be part of T cell receptor complex. [provided by Alliance of Genome Resources, Mar 2025]

flavin containing monooxygenase 2 (non-functional)

This gene encodes a flavin-containing monooxygenase family member. It is an NADPH-dependent enzyme that catalyzes the N-oxidation of some primary alkylamines through an N-hydroxylamine intermediate. However, some human populations contain an allele (FMO2*2A) with a premature stop codon, resulting in a protein that is C-terminally-truncated, has no catalytic activity, and is likely degraded rapidly. This gene is found in a cluster with other related family members on chromosome 1. Alternative splicing results in multiple transcript variants. [provided by RefSeq, Aug 2014]

zinc finger protein 300 pseudogene 1 (functional)

T cell receptor alpha joining 1 (non-functional)

T cell receptors recognize foreign antigens which have been processed as small peptides and bound to major histocompatibility complex (MHC) molecules at the surface of antigen presenting cells (APC). Each T cell receptor is a dimer consisting of one alpha and one beta chain or one delta and one gamma chain. In a single cell, the T cell receptor loci are rearranged and expressed in the order delta, gamma, beta, and alpha. If both delta and gamma rearrangements produce functional chains, the cell expresses delta and gamma. If not, the cell proceeds to rearrange the beta and alpha loci. This region represents the germline organization of the T cell receptor alpha and delta loci. Both the alpha and delta loci include V (variable), J (joining), and C (constant) segments and the delta locus also includes diversity (D) segments. The delta locus is situated within the alpha locus, between the alpha V and J segments. During T cell development, the delta chain is synthesized by a recombination event at the DNA level joining a D segment with a J segment; a V segment is then joined to the D-J gene. The alpha chain is synthesized by recombination joining a single V segment with a J segment. For both chains, the C segment is later joined by splicing at the RNA level. Recombination of many different V segments with several J segments provides a wide range of antigen recognition. Additional diversity is attained by junctional diversity, resulting from the random additional of nucleotides by terminal deoxynucleotidyltransferase. Five variable segments can be used in either alpha or delta chains and are described by TRAV/DV symbols. Several V and J segments of the alpha locus are known to be incapable of encoding a protein and are considered pseudogenes. [provided by RefSeq, Aug 2016]

T cell receptor alpha joining 2 (non-functional)

T cell receptors recognize foreign antigens which have been processed as small peptides and bound to major histocompatibility complex (MHC) molecules at the surface of antigen presenting cells (APC). Each T cell receptor is a dimer consisting of one alpha and one beta chain or one delta and one gamma chain. In a single cell, the T cell receptor loci are rearranged and expressed in the order delta, gamma, beta, and alpha. If both delta and gamma rearrangements produce functional chains, the cell expresses delta and gamma. If not, the cell proceeds to rearrange the beta and alpha loci. This region represents the germline organization of the T cell receptor alpha and delta loci. Both the alpha and delta loci include V (variable), J (joining), and C (constant) segments and the delta locus also includes diversity (D) segments. The delta locus is situated within the alpha locus, between the alpha V and J segments. During T cell development, the delta chain is synthesized by a recombination event at the DNA level joining a D segment with a J segment; a V segment is then joined to the D-J gene. The alpha chain is synthesized by recombination joining a single V segment with a J segment. For both chains, the C segment is later joined by splicing at the RNA level. Recombination of many different V segments with several J segments provides a wide range of antigen recognition. Additional diversity is attained by junctional diversity, resulting from the random additional of nucleotides by terminal deoxynucleotidyltransferase. Five variable segments can be used in either alpha or delta chains and are described by TRAV/DV symbols. Several V and J segments of the alpha locus are known to be incapable of encoding a protein and are considered pseudogenes. [provided by RefSeq, Aug 2016]

immunoglobulin kappa variable 1D-42 (non-functional)

Predicted to be involved in immune response. Predicted to be located in extracellular region and plasma membrane. Predicted to be part of immunoglobulin complex. [provided by Alliance of Genome Resources, Mar 2025]

From DisGeNET Gene-Disease Associations

genes associated with the disease Functional Proteinuria in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From ClinVar Gene-Phenotype Associations

genes associated with the Proteinuria, low molecular weight, with hypercalciuria and nephrocalcinosis phenotype from the curated ClinVar Gene-Phenotype Associations dataset.

From CTD Gene-Disease Associations

genes/proteins associated with the disease Low Molecular Weight Proteinuria with Hypercalciuria and Nephrocalcinosis from the curated CTD Gene-Disease Associations dataset.

From CTD Gene-Disease Associations

genes/proteins associated with the disease Proteinuria from the curated CTD Gene-Disease Associations dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease proteinuria in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease orthostatic proteinuria in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From GAD Gene-Disease Associations

genes associated with the disease glomerulonephritis, iga; iga glomerulonephritides; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease hypertension; pre-eclampsia; pregnancy complications; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease proteinuria; recurrence in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease proteinuria and cardiovascular disease in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease glomerulonephritis membranous; glomerulonephritis, membranous; haematuria; hematuria; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease henoch-schoenlein purpura; kidney diseases; nephrotic syndrome; proteinuria; purpura, schoenlein-henoch in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease gastrointestinal diseases; henoch-schoenlein purpura; joint diseases; kidney diseases; proteinuria; purpura, schoenlein-henoch in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease chronic renal failure; focal segmental glomsclerosis; glomerulosclerosis, focal segmental; kidney failure, chronic; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease glomerulonephritis, iga; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease pre-eclampsia; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease arthritis, rheumatoid; proteinuria; rheumatoid arthritis; rheumatoid nodule; thrombocytopenia in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease complication, cardiovascular pregnancy; hypertension; pregnancy complications, cardiovascular; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease albuminuria; chronic renal failure; diabetes mellitus type ii; diabetes mellitus, insulin-dependent; diabetes mellitus, type 1; diabetes mellitus, type 2; diabetic nephropathies; diabetic nephropathy; glycosuria; kidney failure, chronic; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease chronic renal failure; diabetes mellitus, insulin-dependent; diabetes mellitus, type 1; diabetic nephropathies; diabetic nephropathy; hyperhomocysteinemia; kidney failure, chronic; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease nephrotic syndrome; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease kidney failure, chronic; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease glomerulonephritis, iga; iga glomerulonephritides; nephrotic syndrome; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease arthritis; lupus erythematosus, systemic; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease nephropathy, diabetic; blood pressure, arterial; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease diabetes mellitus, insulin-dependent; diabetes mellitus, type 1; diabetic nephropathies; diabetic nephropathy; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease chronic kidney insufficiency; hypertension, renal; proteinuria; renal hypertension; renal insufficiency, chronic in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease edema; inflammation; pre-eclampsia; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease hypertension, pregnancy-induced; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease proteinuria; purpura, schoenlein-henoch in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease kidney diseases; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease chronic renal failure; glomerulonephritis, iga; iga glomerulonephritides; kidney failure, chronic; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease nephropathy, diabetic; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease diabetes mellitus; diabetic angiopathies; diabetic neuropathies; diabetic retinopathy; glucose intolerance; hemochromatosis; liver cirrhosis; proteinuria in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GeneRIF Biological Term Annotations

genes co-occuring with the biological term proteinuria in literature-supported statements describing functions of genes from the GeneRIF Biological Term Annotations dataset.

From HPO Gene-Disease Associations

genes associated with the low-molecular-weight proteinuria phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the proteinuria phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the mild proteinuria phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Proteinuria phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From OMIM Gene-Disease Associations

genes associated with the proteinuria, low molecular weight, with hypercalciuric nephrocalcinosis phenotype from the curated OMIM Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Low Molecular Weight Proteinuria With Hypercalciuria And Nephrocalcinosis in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Proteinuria in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Low-Molecular-Weight Proteinuria in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Mild Proteinuria in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Heavy Proteinuria in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Febrile Proteinuria in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DISEASES Curated Gene-Disease Association Evidence Scores 2025

genes involed in the disease Proteinuria from the DISEASES Curated Gene-Disease Association Evidence Scores 2025 dataset.

From DISEASES Experimental Gene-Disease Association Evidence Scores 2025

genes associated with the disease Proteinuria in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores 2025 dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores 2025

genes co-occuring with the disease Proteinuria in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores 2025

genes co-occuring with the disease Orthostatic proteinuria in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.

From ClinVar Gene-Phenotype Associations 2025

genes associated with the Nephrotic range proteinuria phenotype from the curated ClinVar Gene-Phenotype Associations 2025 dataset.

From ClinVar Gene-Phenotype Associations 2025

genes associated with the Proteinuria phenotype from the curated ClinVar Gene-Phenotype Associations 2025 dataset.

From ClinVar Gene-Phenotype Associations 2025

genes associated with the Mild proteinuria phenotype from the curated ClinVar Gene-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Proteinuria in chronic kidney disease phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Proteinuria and chronic kidney disease phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Proteinuria (moderate to severe) phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Proteinuria (mild) phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Proteinuria phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Bevacizumab-induced proteinuria phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Bevacizumab-induced composite toxicity (either hypertension or proteinuria) phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From Biocarta Pathways

proteins participating in the ion channels and their functional role in vascular endothelium pathway from the Biocarta Pathways dataset.

From dbGAP Gene-Trait Associations

genes associated with the trait Functional Laterality in GWAS and other genetic association datasets from the dbGAP Gene-Trait Associations dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease functional diarrhea in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease functional gastric disease in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores

genes co-occuring with the disease functional colonic disease in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset.

From GAD Gene-Disease Associations

genes associated with the disease functional laterality in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease unexplained (functional) dyspepsia. in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GAD Gene-Disease Associations

genes associated with the disease functional differences in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset.

From GWAS Catalog SNP-Phenotype Associations

genes associated with the Functional impairment in major depressive disorder, bipolar disorder and schizophrenia phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations dataset.

From GWAS Catalog SNP-Phenotype Associations

genes associated with the Functional MRI phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations dataset.

From GWASdb SNP-Phenotype Associations

genes associated with the functional abnormality of the gastrointestinal tract phenotype in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset.

From GWASdb SNP-Phenotype Associations

genes associated with the functional respiratory abnormality phenotype in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset.

From GWASdb SNP-Phenotype Associations

genes associated with the functional abnormality of male internal genitalia phenotype in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset.

From HPO Gene-Disease Associations

genes associated with the functional motor problems phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the functional abnormality of male internal genitalia phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the functional respiratory abnormality phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the functional abnormality of the bladder phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the functional abnormality of the inner ear phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the functional abnormality of the middle ear phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HPO Gene-Disease Associations

genes associated with the functional abnormality of the gastrointestinal tract phenotype by mapping known disease genes to disease phenotypes from the HPO Gene-Disease Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Hearing Loss, Functional phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Colonic Diseases, Functional phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From HuGE Navigator Gene-Phenotype Associations

genes associated with the Functional Laterality phenotype by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Triple functional domain protein protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Catalase, mono-functional, haem-containing protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From InterPro Predicted Protein Domain Annotations

proteins predicted to have the Catalase, mono-functional, haem-containing, clades 1 and 3 protein domain from the InterPro Predicted Protein Domain Annotations dataset.

From MPO Gene-Phenotype Associations

gene mutations causing the abnormal functional residual capacity phenotype in transgenic mice from the MPO Gene-Phenotype Associations dataset.

From Tabula Sapiens Gene-Cell Associations

genes with high or low expression in Eye-lacrimal gland functional unit cell relative to other cell types from the Tabula Sapiens Gene-Cell Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Functional Diarrhoea (Due To Spastic Colon) in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Functional Gastrointestinal Disorders in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Functional Diarrhea in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Functional Abnormality Of Male Internal Genitalia in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Constipation - Functional in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Colonic Diseases, Functional in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Functional Neurological Symptom Disorder in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Functional Mitral Regurgitation in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Disease Associations

genes associated with the disease Functional Disorder Of Intestine in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Functional Abdominal Pain in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Functional Abnormality Of The Gastrointestinal Tract in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Functional Intestinal Obstruction in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Functional Abnormality Of The Bladder in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Functional Motor Deficit in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Functional Hyposplenism in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Functional Abdominal Pain Syndrome in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From DisGeNET Gene-Phenotype Associations

genes associated with the phenotype Functional Laterality in GWAS and other genetic association datasets from the DisGeNET Gene-Phenotype Associations dataset.

From MGI Mouse Phenotype Associations 2023

gene mutations causing the abnormal functional residual capacity phenotype in transgenic mice from the MGI Mouse Phenotype Associations 2023 dataset.

From CellMarker Gene-Cell Type Associations

genes associated with the Functional myeloid cell_Brain_Mouse cell type from the CellMarker Gene-Cell Type Associations dataset.

From WikiPathways Pathways 2024

proteins participating in the EV release from cardiac cells and their functional effects pathway from the WikiPathways Pathways 2024 dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores 2025

genes co-occuring with the disease Functional gastric disease in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores 2025

genes co-occuring with the disease Functional diarrhea in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.

From DISEASES Text-mining Gene-Disease Association Evidence Scores 2025

genes co-occuring with the disease Functional colonic disease in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.

From ClinVar Gene-Phenotype Associations 2025

genes associated with the Functional motor deficit phenotype from the curated ClinVar Gene-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Rapid functional decline in sporadic amyotrophic lateral sclerosis phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Gut microbiota (functional units) phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the 3-month functional outcome in ischaemic stroke (modified Rankin score) phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the 3-month functional outcome in non-lacunar ischaemic stroke (modified Rankin score) phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the 3-month functional outcome in lacunar ischaemic stroke (modified Rankin score) phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Meningococcal C functional antibody titers post childhood immunization phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Functional impairment in major depressive disorder, bipolar disorder and schizophrenia phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Functional MRI phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.

From GWAS Catalog SNP-Phenotype Associations 2025

genes associated with the Language functional connectivity phenotype in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.