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Insulin’s Weighted Model m arker chr pos.cM pos.Mb weights Insulin.lods # m apped with lod<=5 # m apped percentage rs13476801 2 91.68 138.17 1 5.531 40 174 22.99 rs13476803 2 91.68 138.79 0.9999 19 39 48.72 rs13480335 9 53.05 89.47 0.4396 2 15 13.33 rs13480337 9 53.14 89.83 0.5321 2 8 25.00 rs13480339 9 53.14 90.21 0.5322 0 0 rs6202847 9 53.61 91.50 1 3.543 2 10 20.00 rs13481350 12 6.48 25.25 0.8844 31 77 40.26 rs4229259 12 6.48 25.26 0.8845 0 0 rs4229283 12 6.59 25.68 1 4.529 236 382 61.78 rs13481352 12 7.27 25.89 0.3221 18 37 48.65 rs3665818 12 7.27 26.07 0.322 2 2 100.00 rs4230209 14 7.15 20.77 1 3.957 100 129 77.52 rs6175633 14 7.15 20.98 0.9999 55 60 91.67 rs13482093 14 7.15 21.16 0.9998 1 1 100.00 rs13482094 14 7.61 21.30 0.532 8 15 53.33 rs13482096 14 7.80 21.51 0.347 12 22 54.55 rs3663370 16 22.90 35.63 1 3.445 172 200 86.00 rs3700924 17 8.36 26.84 1 2.887 108 339 31.86 rs13483660 19 36.54 50.56 0.7196 37 148 25.00 rs13483664 19 36.82 51.00 1 13.358 29 74 39.19 rs13483666 19 37.47 51.43 0.3443 43 243 17.70 rs13483667 19 37.66 51.89 0.1599 2 6 33.33 ranscripts’ weighted models overlap with insulin’s weighted m Ping Wang

Insulin’s Weighted Model

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Ping Wang. Insulin’s Weighted Model. 1984 transcripts’ weighted models overlap with insulin’s weighted model. Ping Wang. Insulin linkage via scanone. Ping Wang. Insulin’s Model Plots. How many islet transcripts show this same genetic dependence at these loci?. Ping Wang. - PowerPoint PPT Presentation

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Page 1: Insulin’s Weighted Model

Insulin’s Weighted Modelmarker chr pos.cM pos.Mb weights Insulin.lods

# mapped with lod<=5 # mapped percentage

rs13476801 2 91.68 138.17 1 5.531 40 174 22.99

rs13476803 2 91.68 138.79 0.9999 19 39 48.72

rs13480335 9 53.05 89.47 0.4396 2 15 13.33

rs13480337 9 53.14 89.83 0.5321 2 8 25.00

rs13480339 9 53.14 90.21 0.5322 0 0

rs6202847 9 53.61 91.50 1 3.543 2 10 20.00

rs13481350 12 6.48 25.25 0.8844 31 77 40.26

rs4229259 12 6.48 25.26 0.8845 0 0

rs4229283 12 6.59 25.68 1 4.529 236 382 61.78

rs13481352 12 7.27 25.89 0.3221 18 37 48.65

rs3665818 12 7.27 26.07 0.322 2 2 100.00

rs4230209 14 7.15 20.77 1 3.957 100 129 77.52

rs6175633 14 7.15 20.98 0.9999 55 60 91.67

rs13482093 14 7.15 21.16 0.9998 1 1 100.00

rs13482094 14 7.61 21.30 0.532 8 15 53.33

rs13482096 14 7.80 21.51 0.347 12 22 54.55

rs3663370 16 22.90 35.63 1 3.445 172 200 86.00

rs3700924 17 8.36 26.84 1 2.887 108 339 31.86

rs13483660 19 36.54 50.56 0.7196 37 148 25.00

rs13483664 19 36.82 51.00 1 13.358 29 74 39.19

rs13483666 19 37.47 51.43 0.3443 43 243 17.70

rs13483667 19 37.66 51.89 0.1599 2 6 33.33

1984 transcripts’ weighted models overlap with insulin’s weighted model

Ping Wang

Page 2: Insulin’s Weighted Model

Insulin linkage via scanonePing Wang

Page 3: Insulin’s Weighted Model

Insulin’s Model PlotsPing Wang

How many islettranscripts showthis same geneticdependence at these loci?

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Modules for 1984 transcripts with similar genetic architecture as insulin

contains the insulin trait

Ping Wang

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Set Pvalue Qvalue Count Size TermMF 5.04E-08 3.18E-05 115 5332 cytoplasmMF 7.41E-08 3.18E-05 77 3036 cytoplasmic partMF 6.20E-06 0.00177 30 863 mitochondrionMF 2.17E-05 0.00464 147 8175 intracellular partMF 4.27E-05 0.007319 150 8478 intracellularBP 0.000503 0.046341 30 1068 biosynthetic processMF 0.000491 0.046341 122 6796 organelle

CC 0.000541 0.046341 5 48oxidoreductase activity, acting on the CH-CH group of donors

BP 0.000604 0.04704 18 511 cellular lipid metabolic process

Ping Wang Mapping by BIM

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Ping Wang

Set Pvalue Qvalue Count Size TermMF 5.04E-08 3.18E-05 115 5332 cytoplasmMF 7.41E-08 3.18E-05 77 3036 cytoplasmic partMF 6.20E-06 0.00177 30 863 mitochondrionMF 2.17E-05 0.00464 147 8175 intracellular partMF 4.27E-05 0.007319 150 8478 intracellularBP 0.000503 0.046341 30 1068 biosynthetic processMF 0.000491 0.046341 122 6796 organelle

CC 0.000541 0.046341 5 48oxidoreductase activity, acting on the CH-CH group of donors

BP 0.000604 0.04704 18 511 cellular lipid metabolic process

Mapping by BIM

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Set Pvalue Qvalue Count Size TermMF 1.74E-05 0.003307 6 93 extracellular matrix part

CC 1.61E-05 0.003307 4 29extracellular matrix structural constituent conferring tensile strength

MF 6.31E-05 0.007993 4 37 collagenMF 0.000225 0.017286 8 278 proteinaceous extracellular matrixMF 0.000248 0.017286 8 282 extracellular matrixCC 0.000273 0.017286 4 59 extracellular matrix structural constituentBP 0.000842 0.04571 4 76 phosphate transport

Ping Wang Mapping by BIM

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Set Pvalue Qvalue Count Size Term

BP 0.001121 0.016514 7 2769nucleobase, nucleoside, nucleotide and nucleic acid metabolic process

MF 0.001297 0.016514 11 6792 intracellular organelleMF 0.001305 0.016514 11 6796 organelleMF 0.003364 0.021528 4 830 cytoskeletonBP 0.008255 0.024184 1 11 pyrimidine ribonucleotide metabolic process

BP 0.008255 0.024184 1 11pyrimidine ribonucleotide biosynthetic process

BP 0.008255 0.024184 1 11 regulation of protein stabilityMF 0.008504 0.024184 11 8175 intracellular part

BP 0.009003 0.024687 1 12transcription initiation from RNA polymerase II promoter

Ping Wang Mapping by BIM

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Set Pvalue Qvalue Count Size TermBP 0.007756 0.013822 2 68 sensory perception of soundBP 0.00937 0.013822 2 75 sensory perception of mechanical stimulusMF 0.005081 0.013822 2 61 basement membrane

Ping Wang Mapping by BIM

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Set Pvalue Qvalue Count Size TermMF 4.63E-07 3.96E-05 5 63 chromosome, pericentric regionBP 2.54E-05 0.001088 7 313 cell cycle processBP 0.000147 0.00404 5 179 microtubule-based processBP 0.000425 0.00404 5 225 mitotic cell cycleBP 0.000451 0.00404 5 228 M phaseBP 0.00056 0.00404 5 239 cell divisionMF 0.000329 0.00404 2 11 condensed chromosome, pericentric regionMF 0.000515 0.00404 11 1428 non-membrane-bound organelleMF 0.000515 0.00404 11 1428 intracellular non-membrane-bound organelleMF 0.000618 0.00404 14 2243 intracellular organelle partMF 0.000642 0.00404 14 2251 organelle partMF 0.000701 0.00404 5 288 chromosomal part

Ping Wang Mapping by BIM

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Ping Wang Mapping by BIM

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Set Pvalue Qvalue Count Size TermMF 0.000168 0.046728 6 120 anchored to membrane

Ping Wang Mapping by BIM

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Set Pvalue Qvalue Count Size TermMF 7.41E-05 0.01147 23 2037 extracellular region partMF 7.53E-05 0.01147 26 2483 extracellular regionMF 8.99E-05 0.01147 22 1919 extracellular space

Ping Wang Mapping by BIM

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Set Pvalue Qvalue Count Size TermBP 0.005719 0.144188 4 96 response to pheromone

Ping Wang Mapping by BIM

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Ping Wang Mapping by BIM

qvalue Pvalue Count Size Term0.0619 0.00167 2 13 steroid hormone receptor signaling pathway

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Set Pvalue Qvalue Count Size Term

BP 0.000198 0.083007 17 279enzyme linked receptor protein signaling pathway

Ping Wang Mapping by BIM

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Set Pvalue Qvalue Count Size TermBP 0.000412 0.060848 2 14 vesicle organization and biogenesis

Ping Wang Mapping by BIM

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Set Pvalue Qvalue Count Size TermBP 0.000412 0.060848 2 14 vesicle organization and biogenesis

Ping Wang Mapping by BIM

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Ping Wang Mapping by BIM