Igfbp2 MGI Mouse Gene Detail - MGI:96437 - insulin-like growth factor binding protein 2

Strain	Gene Model ID	Feature Type	Coordinates
C57BL/6J	MGI_C57BL6J_96437	protein coding gene	Chr1:72863650-72891633 (+)
129S1/SvImJ	ENSMUSG00200004288	protein coding gene	Chr1:70526115-70554082 (+)
A/J	ENSMUSG00195029691	protein coding gene	Chr1:69939696-69967835 (+)
AKR/J	ENSMUSG00220034431	protein coding gene	Chr1:70091790-70119786 (+)
BALB/cJ	ENSMUSG00180028687	protein coding gene	Chr1:70204624-70232599 (+)
C3H/HeJ	ENSMUSG00175000749	protein coding gene	Chr1:70335009-70363146 (+)
C57BL/6NJ	ENSMUSG00215018008	protein coding gene	Chr1:70250425-70278395 (+)
CAROLI/EiJ	MGP_CAROLIEiJ_G0014248	protein coding gene	Chr1:66435088-66462176 (+)
CAST/EiJ	ENSTCUG00005020191	protein coding gene	Chr1:69997640-70025042 (+)
CBA/J	ENSMUSG00210003057	protein coding gene	Chr1:70032598-70060559 (+)
DBA/2J	ENSMUSG00185004811	protein coding gene	Chr1:71122608-71150562 (+)
FVB/NJ	ENSMUSG00205012761	protein coding gene	Chr1:69759254-69787224 (+)
JF1/MsJ	ENSUMUG00000003461	protein coding gene	Chr1:70033540-70060695 (+)
LP/J	ENSMUSG00230002046	protein coding gene	Chr1:71117325-71145285 (+)
NOD/ShiLtJ	ENSMUSG00190013479	protein coding gene	Chr1:70249517-70277591 (+)
NZO/HlLtJ	ENSMUSG00225039769	protein coding gene	Chr1:74332442-74360406 (+)
PWK/PhJ	ENSLUMG00010007376	protein coding gene	Chr1:69632375-69659921 (+)
SPRET/EiJ	ENSMSPG00010019004	protein coding gene	Chr1:71707248-71734967 (+)
WSB/EiJ	ENSIUOG00005028327	protein coding gene	Chr1:69902061-69930152 (+)

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

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

adipose tissue	behavior/neurological	cardiovascular system	cellular	craniofacial	digestive/alimentary system	embryo	endocrine/exocrine glands	growth/size/body	hearing/vestibular/ear	hematopoietic system	homeostasis/metabolism	integument	immune system	limbs/digits/tail	liver/biliary system	mortality/aging	muscle	nervous system	pigmentation	renal/urinary system	reproductive system	respiratory system	skeleton	taste/olfaction	neoplasm	vision/eye

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