diff --git a/PhenopacketStoreStats.ipynb b/PhenopacketStoreStats.ipynb
index 78473a82..b7158a85 100644
--- a/PhenopacketStoreStats.ipynb
+++ b/PhenopacketStoreStats.ipynb
@@ -61,7 +61,7 @@
"import zipfile\n",
"from ppktstore.model import PhenopacketStore\n",
"\n",
- "release_tag = '0.1.19'\n",
+ "release_tag = '0.1.20'\n",
"\n",
"input_zip = 'all_phenopackets.zip'\n",
"with zipfile.ZipFile(input_zip) as zf:\n",
@@ -133,24 +133,24 @@
"
\n",
" \n",
" 69 | \n",
- " Family 1 proband | \n",
+ " Family 2 proband | \n",
" AAGAB | \n",
" OMIM:148600 | \n",
" Keratoderma, palmoplantar, punctate type IA | \n",
" AAGAB | \n",
- " NM_024666.5:c.505_506dup | \n",
+ " NM_024666.5:c.473del | \n",
" | \n",
" PMID:28239884 | \n",
" all_phenopackets.zip/../../.. | \n",
"
\n",
" \n",
" 70 | \n",
- " Family 2 proband | \n",
+ " Family 1 proband | \n",
" AAGAB | \n",
" OMIM:148600 | \n",
" Keratoderma, palmoplantar, punctate type IA | \n",
" AAGAB | \n",
- " NM_024666.5:c.473del | \n",
+ " NM_024666.5:c.505_506dup | \n",
" | \n",
" PMID:28239884 | \n",
" all_phenopackets.zip/../../.. | \n",
@@ -181,14 +181,14 @@
"
\n",
" \n",
" 84 | \n",
- " II-2 | \n",
+ " P18 | \n",
" ABCB7 | \n",
" OMIM:301310 | \n",
" Anemia, sideroblastic, and spinocerebellar ataxia | \n",
" ABCB7 | \n",
- " NM_001271696.3:c.1297G>A | \n",
+ " NM_001271696.3:c.2021A>G | \n",
" | \n",
- " PMID:11050011 | \n",
+ " PMID:34354969 | \n",
" all_phenopackets.zip/../../.. | \n",
"
\n",
" \n",
@@ -197,11 +197,11 @@
],
"text/plain": [
" patient_id cohort disease_id \\\n",
- "69 Family 1 proband AAGAB OMIM:148600 \n",
- "70 Family 2 proband AAGAB OMIM:148600 \n",
+ "69 Family 2 proband AAGAB OMIM:148600 \n",
+ "70 Family 1 proband AAGAB OMIM:148600 \n",
"71 Family 3 proband AAGAB OMIM:148600 \n",
"72 II.2 ABCA4 OMIM:601718 \n",
- "84 II-2 ABCB7 OMIM:301310 \n",
+ "84 P18 ABCB7 OMIM:301310 \n",
"\n",
" disease gene \\\n",
"69 Keratoderma, palmoplantar, punctate type IA AAGAB \n",
@@ -211,11 +211,11 @@
"84 Anemia, sideroblastic, and spinocerebellar ataxia ABCB7 \n",
"\n",
" allele_1 allele_2 PMID \\\n",
- "69 NM_024666.5:c.505_506dup PMID:28239884 \n",
- "70 NM_024666.5:c.473del PMID:28239884 \n",
+ "69 NM_024666.5:c.473del PMID:28239884 \n",
+ "70 NM_024666.5:c.505_506dup PMID:28239884 \n",
"71 NM_024666.5:c.870+1G>A PMID:28239884 \n",
"72 NM_000350.3:c.1938-1G>A PMID:10874631 \n",
- "84 NM_001271696.3:c.1297G>A PMID:11050011 \n",
+ "84 NM_001271696.3:c.2021A>G PMID:34354969 \n",
"\n",
" filename \n",
"69 all_phenopackets.zip/../../.. \n",
@@ -278,16 +278,16 @@
" \n",
" \n",
" 0 | \n",
- " PMID_15266616_80-80 | \n",
- " FEMALE | \n",
- " 4928.25 | \n",
- " 13.492813 | \n",
+ " PMID_15266616_35-35 | \n",
+ " MALE | \n",
+ " 1095.75 | \n",
+ " 3.0 | \n",
" None | \n",
"
\n",
" \n",
" 1 | \n",
- " PMID_15266616_128-128 | \n",
- " MALE | \n",
+ " PMID_15266616_148-148 | \n",
+ " FEMALE | \n",
" NaN | \n",
" NaN | \n",
" None | \n",
@@ -298,8 +298,8 @@
],
"text/plain": [
" id sex age_in_days age_in_years vital_status\n",
- "0 PMID_15266616_80-80 FEMALE 4928.25 13.492813 None\n",
- "1 PMID_15266616_128-128 MALE NaN NaN None"
+ "0 PMID_15266616_35-35 MALE 1095.75 3.0 None\n",
+ "1 PMID_15266616_148-148 FEMALE NaN NaN None"
]
},
"execution_count": 5,
@@ -333,7 +333,7 @@
{
"data": {
"text/plain": [
- "{'males': 2663, 'females': 2377, 'unknown': 1628}"
+ "{'males': 2975, 'females': 2663, 'unknown': 1744}"
]
},
"execution_count": 6,
@@ -358,7 +358,7 @@
{
"data": {
"text/plain": [
- "'5040 (75.6%) had the sex specified (52.8% males, 47.2% females)'"
+ "'5638 (76.4%) had the sex specified (52.8% males, 47.2% females)'"
]
},
"execution_count": 7,
@@ -392,8 +392,8 @@
{
"data": {
"text/plain": [
- "{'individuals with no age': '2330 (34.9%)',\n",
- " 'individuals with age': '4338 (65.1%)'}"
+ "{'individuals with no age': '2480 (33.6%)',\n",
+ " 'individuals with age': '4903 (66.4%)'}"
]
},
"execution_count": 8,
@@ -425,7 +425,7 @@
"outputs": [
{
"data": {
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",
"text/plain": [
"
\n",
"\n",
@@ -679,40 +679,40 @@
],
"text/plain": [
" item value\n",
- "0 version 0.1.19\n",
- "1 phenopackets 6668\n",
- "2 diseases 475\n",
- "3 genes 423\n",
- "4 alleles 3834\n",
- "5 PMIDs 959\n",
+ "0 version 0.1.20\n",
+ "1 phenopackets 7383\n",
+ "2 diseases 481\n",
+ "3 genes 429\n",
+ "4 alleles 4062\n",
+ "5 PMIDs 1030\n",
"6 individuals per gene (max) 463\n",
"7 individuals per gene (min) 1\n",
- "8 individuals per gene (mean) 15.763593\n",
- "9 individuals per gene (median) 4.0\n",
+ "8 individuals per gene (mean) 17.20979\n",
+ "9 individuals per gene (median) 5.0\n",
"10 individuals per disease (max) 463\n",
"11 individuals per disease (min) 1\n",
- "12 individuals per disease (mean) 14.037895\n",
+ "12 individuals per disease (mean) 15.349272\n",
"13 individuals per disease (median) 5.0\n",
- "14 genes associated with a single disease 387\n",
+ "14 genes associated with a single disease 393\n",
"15 genes associated with two diseases 25\n",
"16 genes associated with multiple diseases 11\n",
"17 gene(s) with maximum number of diseases FBN1 with 6 associated diseases\n",
- "18 total HPO terms used 115291\n",
- "19 present HPO terms used 53693\n",
- "20 excluded HPO terms used 61598\n",
- "21 unique HPO terms used 3292\n",
- "22 present HPO terms per cohort (mean) 127.234597\n",
- "23 present HPO terms per cohort (median) 37.0\n",
+ "18 total HPO terms used 130465\n",
+ "19 present HPO terms used 58189\n",
+ "20 excluded HPO terms used 72276\n",
+ "21 unique HPO terms used 3369\n",
+ "22 present HPO terms per cohort (mean) 135.955607\n",
+ "23 present HPO terms per cohort (median) 38.5\n",
"24 present HPO terms per cohort (min) 2.0\n",
"25 present HPO terms per cohort (max) 4130.0\n",
- "26 excluded HPO terms per cohort (mean) 145.966825\n",
- "27 excluded HPO terms per cohort (median) 17.0\n",
+ "26 excluded HPO terms per cohort (mean) 168.869159\n",
+ "27 excluded HPO terms per cohort (median) 18.0\n",
"28 excluded HPO terms per cohort (min) 0.0\n",
- "29 excluded HPO terms per cohort (max) 4844.0\n",
- "30 total HPO terms per cohort (mean) 273.201422\n",
- "31 total HPO terms per cohort (median) 57.0\n",
+ "29 excluded HPO terms per cohort (max) 4920.0\n",
+ "30 total HPO terms per cohort (mean) 304.824766\n",
+ "31 total HPO terms per cohort (median) 59.5\n",
"32 total HPO terms per cohort (min) 2.0\n",
- "33 total HPO terms per cohort (max) 5928.0"
+ "33 total HPO terms per cohort (max) 6081.0"
]
},
"execution_count": 10,
@@ -771,15 +771,15 @@
" \n",
" 0 | \n",
" 11q_terminal_deletion | \n",
- " PMID_15266616_80 | \n",
+ " PMID_15266616_35 | \n",
" HP:0000348 | \n",
" True | \n",
"
\n",
" \n",
" 1 | \n",
" 11q_terminal_deletion | \n",
- " PMID_15266616_80 | \n",
- " HP:0000337 | \n",
+ " PMID_15266616_35 | \n",
+ " HP:0011220 | \n",
" True | \n",
"
\n",
" \n",
@@ -788,8 +788,8 @@
],
"text/plain": [
" cohort pp_id term_id is_present\n",
- "0 11q_terminal_deletion PMID_15266616_80 HP:0000348 True\n",
- "1 11q_terminal_deletion PMID_15266616_80 HP:0000337 True"
+ "0 11q_terminal_deletion PMID_15266616_35 HP:0000348 True\n",
+ "1 11q_terminal_deletion PMID_15266616_35 HP:0011220 True"
]
},
"execution_count": 11,
@@ -848,10 +848,10 @@
{
"data": {
"text/plain": [
- "mean 17.290192\n",
+ "mean 17.673395\n",
"median 12.000000\n",
"min 1.000000\n",
- "max 106.000000\n",
+ "max 190.000000\n",
"dtype: float64"
]
},
@@ -904,12 +904,12 @@
" \n",
" \n",
" mean | \n",
- " 11.782326 | \n",
- " 8.226291 | \n",
+ " 12.235653 | \n",
+ " 8.053841 | \n",
"
\n",
" \n",
" median | \n",
- " 6.000000 | \n",
+ " 7.000000 | \n",
" 7.000000 | \n",
"
\n",
" \n",
@@ -919,7 +919,7 @@
"
\n",
" \n",
" max | \n",
- " 101.000000 | \n",
+ " 173.000000 | \n",
" 66.000000 | \n",
"
\n",
" \n",
@@ -928,10 +928,10 @@
],
"text/plain": [
"is_present False True \n",
- "mean 11.782326 8.226291\n",
- "median 6.000000 7.000000\n",
+ "mean 12.235653 8.053841\n",
+ "median 7.000000 7.000000\n",
"min 1.000000 1.000000\n",
- "max 101.000000 66.000000"
+ "max 173.000000 66.000000"
]
},
"execution_count": 14,
@@ -1115,17 +1115,17 @@
" Excluded | \n",
" \n",
" \n",
- " 11755 | \n",
- " PMID_10077612_Family_A_III_10 | \n",
- " 13 | \n",
- " Total | \n",
- "
\n",
- " \n",
" 1 | \n",
" PMID_10077612_Family_A_III_10 | \n",
" 4 | \n",
" Present | \n",
"
\n",
+ " \n",
+ " 13132 | \n",
+ " PMID_10077612_Family_A_III_10 | \n",
+ " 13 | \n",
+ " Total | \n",
+ "
\n",
" \n",
"\n",
""
@@ -1133,8 +1133,8 @@
"text/plain": [
" pp_id cnt status\n",
"0 PMID_10077612_Family_A_III_10 9 Excluded\n",
- "11755 PMID_10077612_Family_A_III_10 13 Total\n",
- "1 PMID_10077612_Family_A_III_10 4 Present"
+ "1 PMID_10077612_Family_A_III_10 4 Present\n",
+ "13132 PMID_10077612_Family_A_III_10 13 Total"
]
},
"execution_count": 17,
@@ -1156,7 +1156,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "/tmp/ipykernel_45281/3792679578.py:3: FutureWarning: \n",
+ "/var/folders/hq/zttr8hjx127fgvh0bq7h4bc80000gn/T/ipykernel_35777/3792679578.py:3: FutureWarning: \n",
"\n",
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
"\n",
@@ -1165,7 +1165,7 @@
},
{
"data": {
- "image/png": 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",
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",
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