Tissue-Trait Association Map for [Ovary]. Due to the large number of UKBB panel traits, this figure only shows the non-UKBB traits with a deTS p (chi2) < 0.05. For each tissue-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. Edge width is proportional to the deTS p (chi2). The number of edges in the figure is thus less than (or equal to) the number of entries in the table below.
Table. List of Tissue-Trait Association Pairs for [Ovary]. Because each trait has multiple TAG sets defined at different thresholds, there may be multiple rows for each tissue-trait pair with different "TAG Set Threshold" and "deTS p (chi2)" (the last two columns).
For a full list of traits including all panels, please check here. (Warning: the loading time may be long.)
Trait ID | Trait Name | Trait Full Name | Panel | Author | Year | Cases* | Controls | TAG Set Threshold |
deTS p (chi2) |
---|---|---|---|---|---|---|---|---|---|
4652 | Alzheimers Protein Levels | Amyloid Beta 1 42 | Multi-Trait Collection (MTC) | Ramirez | 2014 | 0 | 363 | 0.05 | 0.04 |
4653 | Alzheimers Protein Levels | Phosphorylated Tau Position 181 | Multi-Trait Collection (MTC) | Ramirez | 2014 | 0 | 363 | 0.05 | 0.02 |
4653 | Alzheimers Protein Levels | Phosphorylated Tau Position 181 | Multi-Trait Collection (MTC) | Ramirez | 2014 | 0 | 363 | 0.01 | 0.00796 |
4653 | Alzheimers Protein Levels | Phosphorylated Tau Position 181 | Multi-Trait Collection (MTC) | Ramirez | 2014 | 0 | 363 | 0.001 | 0.02 |
4541 | Anorexia Nervosa | Anorexia Nervosa | Multi-Trait Collection (MTC) | Boraska | 2014 | 2907 | 14860 | 0.01 | 0.05 |
4657 | Anthropometric Extremes | Obesity Class 1 | Multi-Trait Collection (MTC) | Berndt | 2013 | 32858 | 65840 | 0.01 | 0.04 |
4661 | Anthropometrics Sex Stratified | Body Mass Index Men | Multi-Trait Collection (MTC) | Randall | 2013 | 60586 | 60856 | 0.05 | 0.02 |
4677 | Anthropometrics Sex Stratified | Weight Men | Multi-Trait Collection (MTC) | Randall | 2013 | 0 | 60856 | 0.001 | 0.00901 |
4677 | Anthropometrics Sex Stratified | Weight Men | Multi-Trait Collection (MTC) | Randall | 2013 | 0 | 60856 | 1E-04 | 0.03 |
4700 | Blood Cells | Red Blood Cell Counts | Multi-Trait Collection (MTC) | Ferreira | 2009 | 0 | 6015 | 0.001 | 0.01 |
4704 | Blood Lipids | Low Density Lipoprotein | Expanded Trait Collection (ETC) | Teslovich | 2010 | 0 | 95454 | 0.01 | 0.04 |
4704 | Blood Lipids | Low Density Lipoprotein | Expanded Trait Collection (ETC) | Teslovich | 2010 | 0 | 95454 | 0.001 | 0.02 |
4705 | Blood Lipids | Total Cholesterol | Expanded Trait Collection (ETC) | Teslovich | 2010 | 0 | 100184 | 0.05 | 0.04 |
4705 | Blood Lipids | Total Cholesterol | Expanded Trait Collection (ETC) | Teslovich | 2010 | 0 | 100184 | 0.01 | 0.02 |
4709 | Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | Multi-Trait Collection (MTC) | Willer | 2013 | 0 | 94595 | 0.001 | 0.00564 |
4709 | Blood Lipids | Low Density Lipoprotein GWAS and Metabochip | Multi-Trait Collection (MTC) | Willer | 2013 | 0 | 94595 | 1E-04 | 0.02 |
4711 | Blood Lipids | Total Cholesterol GWAS and Metabochip | Multi-Trait Collection (MTC) | Willer | 2013 | 0 | 94595 | 0.05 | 0.01 |
4711 | Blood Lipids | Total Cholesterol GWAS and Metabochip | Multi-Trait Collection (MTC) | Willer | 2013 | 0 | 94595 | 0.01 | 0.03 |
4754 | BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European | Multi-Trait Collection (MTC) | GIANT | 2017 | 0 | 234069 | 0.05 | 0.01 |
4760 | BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Adjusted For Physical Activity European | Multi-Trait Collection (MTC) | GIANT | 2017 | 0 | 234069 | 0.05 | 0.02 |
4771 | BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European | Multi-Trait Collection (MTC) | GIANT | 2017 | 0 | 234069 | 0.05 | 0.00794 |
4772 | BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Active European Men | Multi-Trait Collection (MTC) | GIANT | 2017 | 0 | 104666 | 0.05 | 0.01 |
4777 | BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European | Multi-Trait Collection (MTC) | GIANT | 2017 | 0 | 234069 | 0.05 | 0.02 |
4802 | BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking European | Multi-Trait Collection (MTC) | GIANT | 2017 | 0 | 234069 | 0.05 | 0.04 |
4819 | Bone Mineral Density | Femoral Neck Bone Mineral Density | Expanded Trait Collection (ETC) | Zheng | 2015 | 0 | 26320 | 0.001 | 0.03 |
4573 | Depressive Symptoms | Depressive Symptoms | Expanded Trait Collection (ETC) | Okbay | 2016 | 122210 | 58835 | 0.01 | 0.05 |
4580 | Head Circumference | Head Circumference | Multi-Trait Collection (MTC) | Taal | 2012 | 0 | 10768 | 0.01 | 0.00288 |
4594 | MDD | Major Depressive Disorder | Expanded Trait Collection (ETC) | Wray | 2018 | 16823 | 25632 | 0.01 | 0.05 |
4612 | Prostate Cancer | Prostate Cancer | Multi-Trait Collection (MTC) | Yeager | 2007 | 1172 | 1157 | 0.05 | 0.03 |
4624 | Tiredness | Tiredness | Multi-Trait Collection (MTC) | Deary | 2018 | 0 | 108976 | 0.001 | 0.02 |
4624 | Tiredness | Tiredness | Multi-Trait Collection (MTC) | Deary | 2018 | 0 | 108976 | 1E-04 | 0.04 |
4820 | Bone Mineral Density | Forearm Bone Mineral Density | Expanded Trait Collection (ETC) | Zheng | 2015 | 0 | 6627 | 0.01 | 0.04 |
4842 | Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | Multi-Trait Collection (MTC) | Chu | 2017 | 0 | 14668 | 0.05 | 0.00866 |
4842 | Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI All | Multi-Trait Collection (MTC) | Chu | 2017 | 0 | 14668 | 0.01 | 0.00218 |
4845 | Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | Multi-Trait Collection (MTC) | Chu | 2017 | 0 | 14668 | 0.05 | 0.04 |
4845 | Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | Multi-Trait Collection (MTC) | Chu | 2017 | 0 | 14668 | 0.01 | 0.02 |
4850 | Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Women | Multi-Trait Collection (MTC) | Chu | 2017 | 0 | 5699 | 0.01 | 0.02 |
4850 | Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Women | Multi-Trait Collection (MTC) | Chu | 2017 | 0 | 5699 | 0.001 | 0.04 |
4854 | Ectopic Fat Traits | Visceral Adipose Tissue Attenutation All | Multi-Trait Collection (MTC) | Chu | 2017 | 0 | 11478 | 0.05 | 0.01 |
4856 | Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Women | Multi-Trait Collection (MTC) | Chu | 2017 | 0 | 5729 | 0.01 | 0.00172 |
4874 | Estimated Glomerular Filtration Rate | Serum Creatinine African Americans Only | Multi-Trait Collection (MTC) | Pattaro | 2016 | 0 | 133413 | 0.01 | 0.03 |
4882 | Facial Shape | Mod16 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.001 | 0.02 |
4883 | Facial Shape | Mod17 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.05 | 0.05 |
4885 | Facial Shape | Mod19 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.01 | 0.01 |
4885 | Facial Shape | Mod19 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.001 | 0.03 |
4888 | Facial Shape | Mod21 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.01 | 0.03 |
4902 | Facial Shape | Mod34 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.05 | 0.02 |
4902 | Facial Shape | Mod34 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.01 | 0.03 |
4906 | Facial Shape | Mod38 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.01 | 0.03 |
4906 | Facial Shape | Mod38 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.001 | 0.03 |
4897 | Facial Shape | Mod3 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.05 | 0.02 |
4918 | Facial Shape | Mod49 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.05 | 0.03 |
4918 | Facial Shape | Mod49 | Multi-Trait Collection (MTC) | Claes | 2018 | 0 | 2329 | 0.01 | 4.5E-4 |
4978 | Insulin Secretion | Acute Insulin Response | Multi-Trait Collection (MTC) | Wood | 2017 | 0 | 2087 | 0.05 | 0.05 |
4997 | Ischaemic Stroke | Small Vessel Disease | Multi-Trait Collection (MTC) | Traylor | 2012 | 2275 | 12285 | 0.05 | 0.01 |
5037 | Lymphocyte Subsets | CD3 Level | Multi-Trait Collection (MTC) | Ferreira | 2010 | 0 | 2538 | 0.01 | 0.00826 |
5214 | BIP | Bipolar disorder | Expanded Trait Collection (ETC) | Stahl | 2018 | 20352 | 31358 | 1E-04 | 0.02 |
5231 | EOC | Epithelial Ovarian Cancer | Expanded Trait Collection (ETC) | Phelan | 2017 | 25509 | 40941 | 0.001 | 0.05 |
5309 | Alcohol consumption | Alcohol consumption, drinks-per-week | Expanded Trait Collection (ETC) | Liua | 2019 | 0 | 941280 | 1E-05 | 0.01 |
5298 | Body fat distribution | Body fat distribution, leg fat ratio, male | Expanded Trait Collection (ETC) | Andersen | 2019 | 0 | 116138 | 0.01 | 0.02 |
5299 | Body fat distribution | Body fat distribution-trunk-fat-ratio-female | Expanded Trait Collection (ETC) | Andersen | 2019 | 0 | 116138 | 0.001 | 0.02 |
5349 | Hippocampal volume | Hippocampal fissure volume, corrected for total hippocampal volume | Expanded Trait Collection (ETC) | Meer | 2018 | 0 | 21297 | 0.05 | 0.04 |
5332 | Nonischemic cardiomyopathy | Nonischemic cardiomyopathy | Expanded Trait Collection (ETC) | Aragam | 2018 | 1816 | 388326 | 0.01 | 0.03 |
5292 | BMI | Normal body mass index vs thin control, adult vs thin adult | Expanded Trait Collection (ETC) | McKay | 2019 | 6460 | 1471 | 0.05 | 0.02 |
5337 | Parasubiculum volume | Parasubiculum volume | Expanded Trait Collection (ETC) | Meer | 2018 | 0 | 21297 | 0.001 | 0.03 |
5337 | Parasubiculum volume | Parasubiculum volume | Expanded Trait Collection (ETC) | Meer | 2018 | 0 | 21297 | 1E-04 | 0.03 |
5139 | Smoking | Current Vs Former Discrete | Multi-Trait Collection (MTC) | Furberg | 2010 | 20619 | 15226 | 0.01 | 0.04 |
5193 | Waist Format 2 | Waist Hip Ratio Females European | Multi-Trait Collection (MTC) | Shungin | 2015 | 0 | 86570 | 0.05 | 0.01 |
* If the number of cases is 0, it means the phenotype is a continuous data type and the number of controls is the total number of samples.