Inpp5d MGI Mouse Gene Detail - MGI:107357 - inositol polyphosphate-5-phosphatase D

Strain	Gene Model ID	Feature Type	Coordinates
C57BL/6J	MGI_C57BL6J_107357	protein coding gene	Chr1:87548034-87648232 (+)
129S1/SvImJ	MGP_129S1SvImJ_G0016268	protein coding gene	Chr1:88989928-89095540 (+)
A/J	MGP_AJ_G0016249	protein coding gene	Chr1:85651449-85755146 (+)
AKR/J	MGP_AKRJ_G0016210	protein coding gene	Chr1:88177855-88294420 (+)
BALB/cJ	MGP_BALBcJ_G0016206	protein coding gene	Chr1:85773211-85874387 (+)
C3H/HeJ	MGP_C3HHeJ_G0016034	protein coding gene	Chr1:88440251-88547198 (+)
C57BL/6NJ	MGP_C57BL6NJ_G0016663	protein coding gene	Chr1:92287740-92394361 (+)
CAROLI/EiJ	MGP_CAROLIEiJ_G0014384	protein coding gene	Chr1:80101586-80204782 (+)
CAST/EiJ	MGP_CASTEiJ_G0015619	protein coding gene	Chr1:87655514-87762683 (+)
CBA/J	MGP_CBAJ_G0016010	protein coding gene	Chr1:95234712-95350750 (+)
DBA/2J	MGP_DBA2J_G0016113	protein coding gene	Chr1:84949716-85050812 (+)
FVB/NJ	MGP_FVBNJ_G0016112	protein coding gene	Chr1:84010752-84114624 (+)
LP/J	MGP_LPJ_G0016184	protein coding gene	Chr1:90034436-90137181 (+)
NOD/ShiLtJ	MGP_NODShiLtJ_G0016138	protein coding gene	Chr1:98510750-98620305 (+)
NZO/HlLtJ	MGP_NZOHlLtJ_G0016705	protein coding gene	Chr1:88295217-88407241 (+)
PWK/PhJ	MGP_PWKPhJ_G0015406	protein coding gene	Chr1:84246646-84360769 (+)
SPRET/EiJ	MGP_SPRETEiJ_G0015186	protein coding gene	Chr1:87199046-87300107 (+)
WSB/EiJ	MGP_WSBEiJ_G0015683	protein coding gene	Chr1:87962599-88074365 (+)

Length	Strain/Species	Flank
genomic	ENSMUSG00000026288	Ensembl Gene Model \| MGI Sequence Detail	100196	C57BL/6J	± kb
transcript	ENSMUST00000169754	Ensembl \| MGI Sequence Detail	4937	Not Applicable
polypeptide	ENSMUSP00000127941	Ensembl \| MGI Sequence Detail	1191	Not Applicable

TSS for Inpp5d:

(View these features in JBrowse)

Transcription Start Site	Location	Distance from Gene 5'-end
Tssr7860	Chr1:87548028-87548045 (+)	3 bp
Tssr7861	Chr1:87548056-87548123 (+)	56 bp
Tssr7862	Chr1:87548153-87548160 (+)	123 bp
Tssr151	Chr1:87548177-87548185 (+)	147 bp
Tssr7863	Chr1:87553233-87553253 (+)	5,209 bp
Tssr7864	Chr1:87554402-87554412 (+)	6,373 bp
Tssr7865	Chr1:87563684-87563700 (+)	15,658 bp
Tssr7866	Chr1:87564847-87564852 (+)	16,816 bp
Tssr7867	Chr1:87565229-87565234 (+)	17,198 bp
Tssr7868	Chr1:87568421-87568470 (+)	20,412 bp
Tssr7869	Chr1:87568897-87568900 (+)	20,865 bp
Tssr7870	Chr1:87574332-87574367 (+)	26,316 bp
Tssr7871	Chr1:87581035-87581048 (+)	33,008 bp
Tssr7872	Chr1:87581053-87581064 (+)	33,025 bp
Tssr7873	Chr1:87589843-87589847 (+)	41,811 bp
Tssr7874	Chr1:87601924-87601936 (+)	53,896 bp
Tssr7875	Chr1:87603362-87603393 (+)	55,344 bp
Tssr7876	Chr1:87603916-87603931 (+)	55,890 bp
Tssr7877	Chr1:87603952-87604002 (+)	55,943 bp
Tssr7878	Chr1:87604005-87604028 (+)	55,983 bp
Tssr7879	Chr1:87604170-87604189 (+)	56,146 bp
Tssr7880	Chr1:87604205-87604217 (+)	56,177 bp
Tssr7881	Chr1:87622586-87622592 (+)	74,555 bp
Tssr7882	Chr1:87625868-87625879 (+)	77,840 bp
Tssr7883	Chr1:87628119-87628128 (+)	80,090 bp
Tssr7884	Chr1:87628807-87628815 (+)	80,777 bp
Tssr7885	Chr1:87628872-87628890 (+)	80,847 bp
Tssr7886	Chr1:87628918-87628919 (+)	80,885 bp
Tssr7887	Chr1:87628965-87628974 (+)	80,936 bp
Tssr7888	Chr1:87628981-87628987 (+)	80,950 bp
Tssr7889	Chr1:87630045-87630095 (+)	82,036 bp
Tssr7890	Chr1:87644693-87644697 (+)	96,661 bp

Inpp5d 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

early conceptus	embryo ectoderm	embryo endoderm	embryo mesoderm	embryo mesenchyme	extraembryonic component	alimentary system	auditory system	branchial arches	cardiovascular system	connective tissue	endocrine system	exocrine system	hemolymphoid system	integumental system	limbs	liver and biliary system	musculoskeletal system	nervous system	olfactory system	reproductive system	respiratory system	urinary system	visual system

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