Cell type-associated traits map for the [FetalKidney_Primordial germ cell][link to cell ontology]. Due to the large number of UKBB panel traits, this figure shows the non-UKBB traits with a CSEA p (chi2) < 1e-04 as default, and users can change it to 1e-03, 1e-05, or 1e-06. For each cell type and trait association pair (shown as an edge in the figure), there may be multiple TAG sets, each defined at a different threshold. The pair with the minimum p-value is shown in the figure, with the p-value showing along each edge. The number of edges in the figure is thus less than (or equal to) the number of entries in the table below.” The association association is listed in the table at bottom, Because each trait might have multiple TAG sets defined at different thresholds, multiple rows for each cell type and trait pair with different "TAG Set Threshold" and " CSEA p (chi2)" (the last two columns).
Table. List of Cell type-associated traits pairs for [FetalKidney_Primordial germ cell]. If the network above is too complicated. the users could obtain the association information from the table at bottom. Because each trait has multiple TAG sets defined at different thresholds, there may be multiple rows for each cell type and trait pair with different "TAG Set Threshold" and " CSEA p (chi2)" (the last two columns). Users could identify the most significant association by sorting “CSAE p (chi2)” column.
Trait Name |
Trait Full Name |
Panel |
Author |
Year |
Cases* |
Controls |
TAG Set Threshold |
CSEA p (chi2) |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-5 | 4.64e-2 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-4 | 4.80e-2 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-5 | 1.07e-2 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 1.00e-3 | 1.33e-2 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 1.00e-4 | 3.23e-2 |
Depressive Symptoms | Depressive Symptoms | ETC | Okbay | 2016 | 122210 | 58835 | 1.00e-4 | 2.97e-2 |
Head Circumference | Head Circumference | MTC | Taal | 2012 | NA | 10768 | 1.00e-2 | 7.94e-4 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-2 | 3.11e-2 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-3 | 1.11e-3 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-4 | 3.44e-2 |
Serum Urate | Serum Urate | MTC | Kottgen | 2013 | NA | 110347 | 1.00e-5 | 1.88e-2 |
Subjective Well Being | Subjective Well Being | ETC | Okbay | 2016 | NA | 298420 | 1.00e-3 | 4.89e-3 |
Type 2 Diabetes | Type 2 Diabetes | MTC | Wood | 2016 | 4040 | 113735 | 1.00e-2 | 3.20e-2 |
Alcohol Consumption | Alcohol Consumption All Continuous | MTC | Schumann | 2016 | NA | 70460 | 5.00e-2 | 1.87e-2 |
Alcohol Consumption | Alcohol Consumption All Continuous | MTC | Schumann | 2016 | NA | 70460 | 1.00e-2 | 3.06e-2 |
Alcohol Consumption | Alcohol Consumption Women Continuous | MTC | Schumann | 2016 | NA | 42900 | 5.00e-2 | 1.24e-2 |
Anthropometric Extremes | Extreme BMI | MTC | Berndt | 2013 | 7962 | 8106 | 1.00e-4 | 3.23e-2 |
Anthropometric Extremes | Extreme Waist Hip Ratio | MTC | Berndt | 2013 | 4774 | 5481 | 5.00e-2 | 4.15e-2 |
Anthropometric Extremes | Obesity Class 2 | MTC | Berndt | 2013 | 9889 | 65840 | 1.00e-5 | 4.90e-2 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-4 | 1.08e-2 |
Blood Cells | Mean Corpuscular Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 5.00e-2 | 3.18e-2 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-4 | 3.42e-2 |
BMI Physical Activity Interaction | BMI Active European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 5.94e-3 |
BMI Physical Activity Interaction | BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-5 | 3.40e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European | MTC | GIANT | 2017 | NA | 234069 | 1.00e-5 | 3.16e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-3 | 2.14e-2 |
BMI Physical Activity Interaction | BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-4 | 3.16e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European | MTC | GIANT | 2017 | NA | 234069 | 5.00e-2 | 4.17e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 2.53e-2 |
Facial Shape | Mod10 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.58e-2 |
Facial Shape | Mod11 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 2.03e-2 |
Facial Shape | Mod32 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.78e-2 |
Facial Shape | Mod33 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.03e-2 |
Facial Shape | Mod45 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.50e-2 |
Facial Shape | Mod45 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.73e-2 |
Gestational Weight Gain | Late Gestational Weight Gain Maternal Variants | MTC | Warrington | 2017 | NA | 8641 | 5.00e-2 | 4.56e-2 |
Gestational Weight Gain | Late Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 7681 | 5.00e-2 | 2.51e-2 |
Hemoglobin A1c | Hemoglobin A1c European | MTC | Wheeler | 2017 | NA | 159940 | 5.00e-2 | 3.66e-2 |
Lean Body Mass | Appendicular Lean Mass | MTC | Zillikens | 2017 | NA | 28330 | 1.00e-2 | 1.39e-2 |
Lean Body Mass | Whole Body Lean Mass | MTC | Zillikens | 2017 | NA | 38292 | 1.00e-2 | 3.72e-3 |
Lymphocyte Subsets | CD8 Level | MTC | Ferreira | 2010 | NA | 2538 | 1.00e-2 | 4.49e-2 |
Reproductive Behavior | Number Children Even Born Pooled | MTC | Barban | 2016 | NA | 329139 | 1.00e-3 | 2.14e-3 |
Reproductive Behavior | Number Children Even Born Pooled | MTC | Barban | 2016 | NA | 329139 | 1.00e-4 | 8.76e-3 |
Reproductive Behavior | Number Children Even Born Pooled | MTC | Barban | 2016 | NA | 329139 | 1.00e-5 | 2.56e-3 |
Reproductive Behavior | Number Children Ever Born Female | MTC | Barban | 2016 | NA | 225230 | 1.00e-2 | 1.39e-2 |
Reproductive Behavior | Number Children Ever Born Male | MTC | Barban | 2016 | NA | 103909 | 5.00e-2 | 3.80e-2 |
Reproductive Behavior | Number Children Ever Born Male | MTC | Barban | 2016 | NA | 103909 | 1.00e-3 | 4.79e-2 |
Waist Format 1 | Hip Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 1.85e-2 |
Waist Format 1 | Hip Circumference Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 2.90e-2 |
Waist Format 1 | Waist Circumference European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 4.39e-2 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-2 | 5.48e-3 |
Waist Format 2 | Waist Hip Ratio European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 1.73e-2 |
T1D CA | Type1Diabetes (Childhood adiposity age < 17) | ETC | Censin | 2017 | 5913 | 8828 | 1.00e-3 | 7.87e-3 |
Sleep | Sleep duration | ETC | Jones | 2019 | NA | 85449 | 1.00e-5 | 8.30e-3 |
Alcohol consumption | Alcohol consumption, drinks-per-week | ETC | Liua | 2019 | NA | 941280 | 1.00e-5 | 3.80e-2 |
Presubiculum volume | Presubiculum volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 3.96e-2 |
Subiculum volume | Subiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.11e-2 |
Hippocampal volume | Hippocampal subfield CA3 volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-4 | 1.59e-2 |
Na/C | Urinary sodium to creatinine ratio | ETC | Zanetti | 2019 | NA | 218450 | 1.00e-5 | 1.68e-2 |
Medication use | Medication use (antithrombotic agents) | ETC | Wu Y | 2019 | 67,653 | 85,986 | 1.00e-2 | 2.00e-2 |
Medication use | Medication use (adrenergics, inhalants) | ETC | Wu Y | 2019 | 28,880 | 147,565 | 5.00e-2 | 3.11e-2 |
Longevity | Longevity (age >90th survival percentile) | ETC | Deelen J | 2019 | 11,262 | 25,483 | 1.00e-3 | 3.94e-2 |
Birth | Spontaneous preterm birth (preterm birth) | ETC | Liu X | 2019 | 4,775 | 60,148 | 1.00e-3 | 1.35e-2 |
Alcohol consumption | Alcohol consumption | ETC | Evangelou E | 2019 | NA | 480,842 | 1.00e-5 | 4.37e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 5.00e-2 | 1.23e-2 |
Body fat percentage | Body fat percentage variance | ETC | Wang H | 2019 | NA | 341,632 | 1.00e-2 | 1.97e-2 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-4 | 2.67e-3 |
Waist circumference | Waist circumference variance | ETC | Wang H | 2019 | NA | 347,158 | 1.00e-3 | 1.55e-2 |
BMI by age | BMI at 1.5 years old | ETC | Helgeland O | 2019 | NA | 6,800 | 5.00e-2 | 3.80e-2 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 1.00e-2 | 5.30e-3 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-5 | 2.72e-2 |
* If the number of cases is 0/NA, it means the phenotype is a continuous data type and the number of controls is the total number of samples.