Wt6q1 QTL Detail

Summary

• Symbol
  Wt6q1
• Name
  body weight, 6 weeks, QTL 1

• Feature Type
  QTL
• IDs
  MGI:1344348
  NCBI Gene: 112180
• Candidate Genes
  14 Genes

Location &
Maps

• Sequence Map
  Genome coordinates not available from the current reference assembly.

• Genetic Map
  Chromosome 1, cM position of peak correlated region/marker: Syntenic
• Mapping Data
  3 experiments

Mutations,
Alleles, and
Phenotypes

• Phenotype Summary
  1 phenotype from 1 allele in 2 genetic backgrounds
  1 phenotype reference
  

• All Mutations and Alleles
  3
• QTL
  3
• Find Mice (IMSR)
  0 strains or lines available

Sequences &
Gene Models

• NCBI Gene
  112180

References

• Summaries
  All 4

  Phenotypes 1
• Earliest
  J:55483 Moody DE, et al., Identification of quantitative trait loci influencing traits related to energy balance in selection and inbred lines of mice. Genetics. 1999 Jun;152(2):699-711
• Latest
  J:99477 Brown AC, et al., Searching QTL by gene expression: analysis of diabesity. BMC Genet. 2005 Mar 10;6(1):12

Candidate Genes for Wt6q1:

Gene	Genome Location (GRCm39)	Reference	QTL Note
Aox1	Chr1:58069090-58145572 (+)	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.
Apoa2	Chr1:171052623-171053948 (+)	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.
Fmo1	Chr1:162657130-162694170 (-)	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.
Fmo3	Chr1:162781369-162812097 (-)	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.
Fn1	Chr1:71624679-71692359 (-)	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.
Gsta3	Chr1:21310837-21335885 (+)	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.
Hsd11b1	Chr1:192903917-192946345 (-)	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.
Idh1	Chr1:65197775-65225638 (-)	J:91835	The correlation between gene expression and dietary interaction was examined in a population of (BALB/cStCrlfC3H/Nctr x VY/WffC3Hf/Nctr-A(vy)/a)F1 animals. A/a and A/A animals were placed on a 70% (calorie restricted) or 100% (non-restricted) diet andliver mRNA levels were assessed for over 18,000 genes using DNA microarrays. Twenty-eight known genes showing statistically significant differential expression between the 70% and 100% calorie diets and A/a and A/A genotypes mapped near known diabesity QTLs. These genes may be considered further for candidate genes. On mouse Chromosome 1, Idh1 (29.8 cM) showed differential expression between restricted and unrestricted diets on the A/a background. Diabesity QTLs mapping near Idh1 are Dbsty1 (21 cM),Insq2 (36 cM), Wt10q1 (25 cM), Wt6q1 (27 cM), Obq7 (28.7 cM), and Bw5 (36 cM). At another locus, Pea15 (93.8 cM) showed differential expression between restricted and unrestricted diets on the A/a background and F11r (93.3 cM) showed differential expression between A/a and A/A animals on the restricted diet. Diabesity QTL Obq9 (88.4 cM) maps near Pea15 and F11r.
Igfbp2	Chr1:72863662-72891633 (+)	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.
Inpp5d	Chr1:87548034-87648229 (+)	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.
Irs1	Chr1:82210822-82269137 (-)	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.
Pecr	Chr1:72298326-72323473 (-)	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.
Plcd4	Chr1:74581175-74605137 (+)	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.
Scg2	Chr1:79412386-79417837 (-)	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.