Igfbp2 Gene Detail

Summary

• Symbol
  Igfbp2
• Name
  insulin-like growth factor binding protein 2
• Synonyms
  Igfbp-2, IGFBP-2

• Feature Type
  protein coding gene
• IDs
  MGI:96437
  NCBI Gene: 16008
• Alliance
  gene page
• Transcription Start Sites
  30 TSS
• Candidate for QTL
  8 QTL

Location &
Maps

• Sequence Map
  Chr1:72863662-72891633 bp, + strand

  From Ensembl annotation of GRCm39
  

• View this region in JBrowse
  

• Genome Browsers
  Ensembl | UCSC | NCBI

• Genetic Map
  Chromosome 1, 36.94 cM
• Mapping Data
  10 experiments

Strain
Comparison

• SNPs within 2kb
  1019 from dbSNP Build 142
• Strain Annotations
  18
• RFLP
  2

Strain	Gene Model ID	Feature Type	Coordinates
C57BL/6J	MGI_C57BL6J_96437	protein coding gene	Chr1:72863650-72891633 (+)
129S1/SvImJ	MGP_129S1SvImJ_G0016136	protein coding gene	Chr1:73364158-73393013 (+)
A/J	MGP_AJ_G0016119	protein coding gene	Chr1:70776780-70804606 (+)
AKR/J	MGP_AKRJ_G0016076	protein coding gene	Chr1:72772126-72803052 (+)
BALB/cJ	MGP_BALBcJ_G0016074	protein coding gene	Chr1:70859714-70887452 (+)
C3H/HeJ	MGP_C3HHeJ_G0015905	protein coding gene	Chr1:73081943-73112447 (+)
C57BL/6NJ	MGP_C57BL6NJ_G0016527	protein coding gene	Chr1:76203355-76234032 (+)
CAROLI/EiJ	MGP_CAROLIEiJ_G0014248	protein coding gene	Chr1:66435088-66462176 (+)
CAST/EiJ	MGP_CASTEiJ_G0015489	protein coding gene	Chr1:72375672-72470489 (+)
CBA/J	MGP_CBAJ_G0015878	protein coding gene	Chr1:78700510-78733924 (+)
DBA/2J	MGP_DBA2J_G0015979	protein coding gene	Chr1:70122857-70151925 (+)
FVB/NJ	MGP_FVBNJ_G0015982	protein coding gene	Chr1:69310107-69337305 (+)
LP/J	MGP_LPJ_G0016051	protein coding gene	Chr1:74418977-74451890 (+)
NOD/ShiLtJ	MGP_NODShiLtJ_G0016002	protein coding gene	Chr1:82138114-82170249 (+)
NZO/HlLtJ	MGP_NZOHlLtJ_G0016574	protein coding gene	Chr1:72794986-72825714 (+)
PWK/PhJ	MGP_PWKPhJ_G0015276	protein coding gene	Chr1:69576363-69665409 (+)
SPRET/EiJ	MGP_SPRETEiJ_G0015054	protein coding gene	Chr1:72155031-72188868 (+)
WSB/EiJ	MGP_WSBEiJ_G0015551	protein coding gene	Chr1:72624062-72653675 (+)

Homology

• Human Ortholog
  IGFBP2, insulin like growth factor binding protein 2

• Vertebrate Orthologs
  4

Vertebrate Orthology Source

Alliance of Genome Resources

• Human Ortholog
  IGFBP2, insulin like growth factor binding protein 2
  
• Synonyms
  IBP2, IGF-BP53
• Links
  HGNC:5471

  NCBI Gene ID: 3485

  neXtProt AC: NX_P18065

  UniProt: P18065

  
  
• Chr Location
  2q35; chr2:216632828-216664436 (+)  GRCh38

---

• MGI Vertebrate Homology
  Igfbp2 stringent orthology
  1 human;1 mouse;1 rat;2 zebrafish
  
• HCOP
  vertebrate homology predictions: IGFBP2
• Gene Tree
  Igfbp2
  

Human Diseases

• Diseases
  1 with human IGFBP2 associations

				Human Disease	Mouse Models
				obesity IDs obesity       DOID:9970 EFO:0001073 ICD10CM:E66.9 ICD9CM:278.00 MESH:D009765 NCI:C159658 OMIM:601665 UMLS_CUI:C0028754

Click on a disease name to see all genes associated with that disease.

Mutations,
Alleles, and
Phenotypes

• Phenotype Summary
  5 phenotypes from 2 alleles in 2 genetic backgrounds
  32 phenotype references
  

• All Mutations and Alleles
  35
• Chemically induced (other)
  1
• Endonuclease-mediated
  7
• Gene trapped
  23
• Radiation induced
  1
• Targeted
  3
• Genomic Mutations
  2 involving Igfbp2
• Incidental Mutations
  Mutagenetix , APF
• Find Mice (IMSR)
  23 strains or lines available
• Comparison Matrix
  Gene Expression + Phenotype

Homozygous mutation of this gene results in reduced spleen, heart and kidney size and increased liver weight. Homozygotes for another allele exhibit a normal phenotype.

Gene Ontology
(GO)
Classifications

• All GO Annotations
  35
• GO References
  8

Expression

• Assay Results
  1048
• Tissues
  249
• cDNA Data
  199
• Literature Summary
  53

Images

Tissue x Stage Matrix

Comparison Matrix

Gene Expression + Phenotype

• Other Mouse Links
  Allen Institute
  GENSAT
  GEO
  Expression Atlas
• Other Vertebrate Links
  GEISHA IGFBP2
  Xenbase igfbp2
  ZFIN igfbp2a, igfbp2b

Sequences &
Gene Models

• All Sequences
  45
• RefSeq
  8
• UniProt
  3
• CCDS
  CCDS15036.1, CCDS78613.1

• Ensembl
  ENSMUSG00000039323 (Evidence)
• NCBI Gene
  16008

Representative Sequences			Length	Strain/Species
genomic	ENSMUSG00000039323	Ensembl Gene Model | MGI Sequence Detail	27972	C57BL/6J
transcript	ENSMUST00000047328	Ensembl | MGI Sequence Detail	1307	Not Applicable
polypeptide	ENSMUSP00000046610	Ensembl | MGI Sequence Detail	305	Not Applicable

Protein
Information

• UniProt
  3 Sequences
• Protein Ontology
  PR:000008948 insulin-like growth factor-binding protein 2
  (term hierarchy)
• InterPro Domains
  IPR009030 Growth factor receptor cysteine-rich domain superfamily
  IPR012210 Insulin-like growth factor binding protein 2
  IPR022321 Insulin-like growth factor-binding protein family 1-6, chordata
  IPR000867 Insulin-like growth factor-binding protein, IGFBP
  IPR017891 Insulin-like growth factor binding protein, N-terminal, Cys-rich conserved site
  IPR000716 Thyroglobulin type-1
  IPR036857 Thyroglobulin type-1 superfamily

Molecular
Reagents

• All nucleic 218

  Genomic 2

  cDNA 204

  Primer pair 10

  Other 2

  
  

  Microarray probesets 3

Other
Accession IDs

MGD-MRK-11232, MGD-MRK-11234, MGI:2138183

References

• Summaries
  All 155

  Developmental Gene Expression 53

  Gene Ontology 8

  Phenotypes 32
• Earliest
  J:134667 Roderick TH, et al., Two radiation-induced chromosomal inversions in mice (Mus musculus). Proc Natl Acad Sci U S A. 1970 Oct;67(2):961-7
• Latest
  J:350272 Chin C, et al., Loss of IGFBP2 mediates alveolar type 2 cell senescence and promotes lung fibrosis. Cell Rep Med. 2023 Mar 21;4(3):100945

TSS for Igfbp2:

(View these features in JBrowse)

Transcription Start Site	Location	Distance from Gene 5'-end
Tssr7312	Chr1:72863641-72863660 (+)	-11 bp
Tssr7313	Chr1:72863672-72863681 (+)	15 bp
Tssr7314	Chr1:72863689-72863700 (+)	33 bp
Tssr7315	Chr1:72863705-72863716 (+)	49 bp
Tssr7316	Chr1:72863725-72863736 (+)	69 bp
Tssr7317	Chr1:72865733-72865742 (+)	2,076 bp
Tssr7318	Chr1:72865777-72865791 (+)	2,122 bp
Tssr7319	Chr1:72867790-72867801 (+)	4,134 bp
Tssr7320	Chr1:72872052-72872055 (+)	8,392 bp
Tssr7321	Chr1:72888238-72888245 (+)	24,580 bp
Tssr7322	Chr1:72888267-72888303 (+)	24,623 bp
Tssr7323	Chr1:72888310-72888342 (+)	24,664 bp
Tssr7324	Chr1:72888359-72888373 (+)	24,704 bp
Tssr7325	Chr1:72888374-72888393 (+)	24,722 bp
Tssr7326	Chr1:72888404-72888428 (+)	24,754 bp
Tssr7327	Chr1:72888433-72888449 (+)	24,779 bp
Tssr7328	Chr1:72888736-72888768 (+)	25,090 bp
Tssr7329	Chr1:72888771-72888780 (+)	25,114 bp
Tssr7330	Chr1:72888785-72888813 (+)	25,137 bp
Tssr7331	Chr1:72891154-72891163 (+)	27,497 bp
Tssr7332	Chr1:72891183-72891219 (+)	27,539 bp
Tssr7333	Chr1:72891228-72891235 (+)	27,570 bp
Tssr7334	Chr1:72891243-72891254 (+)	27,587 bp
Tssr7335	Chr1:72891259-72891263 (+)	27,599 bp
Tssr7336	Chr1:72891313-72891321 (+)	27,655 bp
Tssr7337	Chr1:72891334-72891348 (+)	27,679 bp
Tssr7338	Chr1:72891374-72891381 (+)	27,716 bp
Tssr7339	Chr1:72891398-72891403 (+)	27,739 bp
Tssr7340	Chr1:72891463-72891475 (+)	27,807 bp
Tssr7341	Chr1:72891580-72891591 (+)	27,924 bp

Igfbp2 is Candidate Gene for:

QTL	Genetic Location*	Genome Location (GRCm39)	Reference	QTL Note
Insq2	Chr1, syntenic		J:99477	Authors used novel data mining tool ExQuest to identify novel candidate genes for existing diabesity QTLs. Next, candidate gene expression in the liver, adipose, and pancreas of diabesity-prone Tally Ho mice and diabesity-resistant C57BL/6J mice was assessed by quantitative PCR analysis. Several potential candidate genes, some with no previous association to diabesity QTLs, were identified. Since QTL intervals may be large and could contain hundreds or thousands of potential candidate genes, this method allows researchers to focus on those with strong potential as well as identify novel candidate genes. A potential candidate gene for Obq2 at 15 cM on mouse Chromosome 1 as identified by ExQuest is Gsta3. For QTLs Obq7 (28.7 cM), Wt6q1 (27 cM), Insq2 (36cM), and Insq6 (37 cM), potential candidate genes Aox1 (23.2 cM), Fn1 (36.1 cM), Pecr, Igfbp2 (36.1 cM), Plcd4 (39.2 cM), Scg2 (43.6 cM), Irs1, and Inpp5d (57 cM) were identified. For QTL Nidd6 (77 cM), potential candidate gene Qscn6 was identified. For QTL Obq9 (88.4 cM), potential candidate genes Fmo1, Fmo3, and Apoa2 (92.6 cM) were identified. For QTL Wt6q2 (108 cM), potential candidate gene Hsd11b1 was identified.
Insq6	Chr1, 38.01 cM	Chr1:73726922-73727077	J:99477	Authors used novel data mining tool ExQuest to identify novel candidate genes for existing diabesity QTLs. Next, candidate gene expression in the liver, adipose, and pancreas of diabesity-prone Tally Ho mice and diabesity-resistant C57BL/6J mice was assessed by quantitative PCR analysis. Several potential candidate genes, some with no previous association to diabesity QTLs, were identified. Since QTL intervals may be large and could contain hundreds or thousands of potential candidate genes, this method allows researchers to focus on those with strong potential as well as identify novel candidate genes. A potential candidate gene for Obq2 at 15 cM on mouse Chromosome 1 as identified by ExQuest is Gsta3. For QTLs Obq7 (28.7 cM), Wt6q1 (27 cM), Insq2 (36cM), and Insq6 (37 cM), potential candidate genes Aox1 (23.2 cM), Fn1 (36.1 cM), Pecr, Igfbp2 (36.1 cM), Plcd4 (39.2 cM), Scg2 (43.6 cM), Irs1, and Inpp5d (57 cM) were identified. For QTL Nidd6 (77 cM), potential candidate gene Qscn6 was identified. For QTL Obq9 (88.4 cM), potential candidate genes Fmo1, Fmo3, and Apoa2 (92.6 cM) were identified. For QTL Wt6q2 (108 cM), potential candidate gene Hsd11b1 was identified.
Nidd6	Chr1, 65.11 cM		J:99477	Authors used novel data mining tool ExQuest to identify novel candidate genes for existing diabesity QTLs. Next, candidate gene expression in the liver, adipose, and pancreas of diabesity-prone Tally Ho mice and diabesity-resistant C57BL/6J mice was assessed by quantitative PCR analysis. Several potential candidate genes, some with no previous association to diabesity QTLs, were identified. Since QTL intervals may be large and could contain hundreds or thousands of potential candidate genes, this method allows researchers to focus on those with strong potential as well as identify novel candidate genes. A potential candidate gene for Obq2 at 15 cM on mouse Chromosome 1 as identified by ExQuest is Gsta3. For QTLs Obq7 (28.7 cM), Wt6q1 (27 cM), Insq2 (36cM), and Insq6 (37 cM), potential candidate genes Aox1 (23.2 cM), Fn1 (36.1 cM), Pecr, Igfbp2 (36.1 cM), Plcd4 (39.2 cM), Scg2 (43.6 cM), Irs1, and Inpp5d (57 cM) were identified. For QTL Nidd6 (77 cM), potential candidate gene Qscn6 was identified. For QTL Obq9 (88.4 cM), potential candidate genes Fmo1, Fmo3, and Apoa2 (92.6 cM) were identified. For QTL Wt6q2 (108 cM), potential candidate gene Hsd11b1 was identified.
Obq2	Chr1, 6.50 cM	Chr1:20941620-20941887	J:99477	Authors used novel data mining tool ExQuest to identify novel candidate genes for existing diabesity QTLs. Next, candidate gene expression in the liver, adipose, and pancreas of diabesity-prone Tally Ho mice and diabesity-resistant C57BL/6J mice was assessed by quantitative PCR analysis. Several potential candidate genes, some with no previous association to diabesity QTLs, were identified. Since QTL intervals may be large and could contain hundreds or thousands of potential candidate genes, this method allows researchers to focus on those with strong potential as well as identify novel candidate genes. A potential candidate gene for Obq2 at 15 cM on mouse Chromosome 1 as identified by ExQuest is Gsta3. For QTLs Obq7 (28.7 cM), Wt6q1 (27 cM), Insq2 (36cM), and Insq6 (37 cM), potential candidate genes Aox1 (23.2 cM), Fn1 (36.1 cM), Pecr, Igfbp2 (36.1 cM), Plcd4 (39.2 cM), Scg2 (43.6 cM), Irs1, and Inpp5d (57 cM) were identified. For QTL Nidd6 (77 cM), potential candidate gene Qscn6 was identified. For QTL Obq9 (88.4 cM), potential candidate genes Fmo1, Fmo3, and Apoa2 (92.6 cM) were identified. For QTL Wt6q2 (108 cM), potential candidate gene Hsd11b1 was identified.
Obq7	Chr1, 33.31 cM		J:99477	Authors used novel data mining tool ExQuest to identify novel candidate genes for existing diabesity QTLs. Next, candidate gene expression in the liver, adipose, and pancreas of diabesity-prone Tally Ho mice and diabesity-resistant C57BL/6J mice was assessed by quantitative PCR analysis. Several potential candidate genes, some with no previous association to diabesity QTLs, were identified. Since QTL intervals may be large and could contain hundreds or thousands of potential candidate genes, this method allows researchers to focus on those with strong potential as well as identify novel candidate genes. A potential candidate gene for Obq2 at 15 cM on mouse Chromosome 1 as identified by ExQuest is Gsta3. For QTLs Obq7 (28.7 cM), Wt6q1 (27 cM), Insq2 (36cM), and Insq6 (37 cM), potential candidate genes Aox1 (23.2 cM), Fn1 (36.1 cM), Pecr, Igfbp2 (36.1 cM), Plcd4 (39.2 cM), Scg2 (43.6 cM), Irs1, and Inpp5d (57 cM) were identified. For QTL Nidd6 (77 cM), potential candidate gene Qscn6 was identified. For QTL Obq9 (88.4 cM), potential candidate genes Fmo1, Fmo3, and Apoa2 (92.6 cM) were identified. For QTL Wt6q2 (108 cM), potential candidate gene Hsd11b1 was identified.
Obq9	Chr1, 74.68 cM		J:99477	Authors used novel data mining tool ExQuest to identify novel candidate genes for existing diabesity QTLs. Next, candidate gene expression in the liver, adipose, and pancreas of diabesity-prone Tally Ho mice and diabesity-resistant C57BL/6J mice was assessed by quantitative PCR analysis. Several potential candidate genes, some with no previous association to diabesity QTLs, were identified. Since QTL intervals may be large and could contain hundreds or thousands of potential candidate genes, this method allows researchers to focus on those with strong potential as well as identify novel candidate genes. A potential candidate gene for Obq2 at 15 cM on mouse Chromosome 1 as identified by ExQuest is Gsta3. For QTLs Obq7 (28.7 cM), Wt6q1 (27 cM), Insq2 (36cM), and Insq6 (37 cM), potential candidate genes Aox1 (23.2 cM), Fn1 (36.1 cM), Pecr, Igfbp2 (36.1 cM), Plcd4 (39.2 cM), Scg2 (43.6 cM), Irs1, and Inpp5d (57 cM) were identified. For QTL Nidd6 (77 cM), potential candidate gene Qscn6 was identified. For QTL Obq9 (88.4 cM), potential candidate genes Fmo1, Fmo3, and Apoa2 (92.6 cM) were identified. For QTL Wt6q2 (108 cM), potential candidate gene Hsd11b1 was identified.
Wt6q1	Chr1, syntenic		J:99477	Authors used novel data mining tool ExQuest to identify novel candidate genes for existing diabesity QTLs. Next, candidate gene expression in the liver, adipose, and pancreas of diabesity-prone Tally Ho mice and diabesity-resistant C57BL/6J mice was assessed by quantitative PCR analysis. Several potential candidate genes, some with no previous association to diabesity QTLs, were identified. Since QTL intervals may be large and could contain hundreds or thousands of potential candidate genes, this method allows researchers to focus on those with strong potential as well as identify novel candidate genes. A potential candidate gene for Obq2 at 15 cM on mouse Chromosome 1 as identified by ExQuest is Gsta3. For QTLs Obq7 (28.7 cM), Wt6q1 (27 cM), Insq2 (36cM), and Insq6 (37 cM), potential candidate genes Aox1 (23.2 cM), Fn1 (36.1 cM), Pecr, Igfbp2 (36.1 cM), Plcd4 (39.2 cM), Scg2 (43.6 cM), Irs1, and Inpp5d (57 cM) were identified. For QTL Nidd6 (77 cM), potential candidate gene Qscn6 was identified. For QTL Obq9 (88.4 cM), potential candidate genes Fmo1, Fmo3, and Apoa2 (92.6 cM) were identified. For QTL Wt6q2 (108 cM), potential candidate gene Hsd11b1 was identified.
Wt6q2	Chr1, syntenic		J:99477	Authors used novel data mining tool ExQuest to identify novel candidate genes for existing diabesity QTLs. Next, candidate gene expression in the liver, adipose, and pancreas of diabesity-prone Tally Ho mice and diabesity-resistant C57BL/6J mice was assessed by quantitative PCR analysis. Several potential candidate genes, some with no previous association to diabesity QTLs, were identified. Since QTL intervals may be large and could contain hundreds or thousands of potential candidate genes, this method allows researchers to focus on those with strong potential as well as identify novel candidate genes. A potential candidate gene for Obq2 at 15 cM on mouse Chromosome 1 as identified by ExQuest is Gsta3. For QTLs Obq7 (28.7 cM), Wt6q1 (27 cM), Insq2 (36cM), and Insq6 (37 cM), potential candidate genes Aox1 (23.2 cM), Fn1 (36.1 cM), Pecr, Igfbp2 (36.1 cM), Plcd4 (39.2 cM), Scg2 (43.6 cM), Irs1, and Inpp5d (57 cM) were identified. For QTL Nidd6 (77 cM), potential candidate gene Qscn6 was identified. For QTL Obq9 (88.4 cM), potential candidate genes Fmo1, Fmo3, and Apoa2 (92.6 cM) were identified. For QTL Wt6q2 (108 cM), potential candidate gene Hsd11b1 was identified.

*cM position of peak correlated region/marker