Cell type-associated traits map for the [Braga_2020_lung_Alveolar cells type 1][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 [Braga_2020_lung_Alveolar cells type 1]. 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) |
---|---|---|---|---|---|---|---|---|
ADHD | Attention Deficit Hyperactivity Disorder | ETC | Demontis | 2017 | 19099 | 34194 | 1.00e-4 | 4.33e-2 |
ADHD | Attention Deficit Hyperactivity Disorder | MTC | Middeldorp | 2016 | NA | 17666 | 1.00e-2 | 1.60e-2 |
ADHD | Attention Deficit Hyperactivity Disorder | MTC | Middeldorp | 2016 | NA | 17666 | 1.00e-3 | 7.18e-3 |
Age At Death | Age At Death | MTC | Pilling | 2016 | NA | 45627 | 5.00e-2 | 2.70e-2 |
Age At Death | Age At Death | MTC | Pilling | 2016 | NA | 45627 | 1.00e-2 | 4.29e-2 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-3 | 2.70e-2 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-4 | 2.89e-2 |
Alzheimers | Alzheimer's Disease | MTC | Jansen | 2019 | 71880 | 383378 | 1.00e-5 | 3.44e-2 |
Alzheimers | Alzheimer's Disease | ETC | Lambert | 2013 | 17008 | 37154 | 1.00e-3 | 1.10e-2 |
Amyotrophic Lateral Sclerosis | Amyotrophic Lateral Sclerosis | MTC | van-Rheenen | 2016 | 12577 | 23475 | 1.00e-3 | 3.33e-2 |
Anorexia Nervosa | Anorexia Nervosa | MTC | Boraska | 2014 | 2907 | 14860 | 1.00e-2 | 4.02e-2 |
Anorexia Nervosa | Anorexia Nervosa | MTC | Boraska | 2014 | 2907 | 14860 | 1.00e-3 | 4.36e-2 |
BMI Childhood | BMI Childhood | MTC | Felix | 2015 | NA | 34744 | 5.00e-2 | 5.06e-4 |
Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-3 | 1.21e-2 |
Bone Mineral Density | Bone Mineral Density | MTC | Styrkarsdottir | 2008 | 4657 | 207514 | 5.00e-2 | 2.10e-2 |
CAD | Coronary Artery Disease | MTC | C4D | 2011 | 64762 | 22233 | 5.00e-2 | 3.45e-2 |
Gout | Gout | MTC | Kottgen | 2013 | 2115 | 67259 | 1.00e-2 | 1.74e-2 |
Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-5 | 4.61e-2 |
Longevity | Longevity | MTC | Broer | 2015 | 6036 | 3757 | 1.00e-3 | 7.18e-3 |
MDD | Major Depressive Disorder | ETC | Wray | 2018 | 16823 | 25632 | 1.00e-4 | 1.64e-2 |
MS | Multiple Sclerosis | MTC | Hafler | 2007 | 931 | 2431 | 5.00e-2 | 1.85e-2 |
Offspring Birth Weight | Offspring Birth Weight | MTC | Beaumont | 2018 | NA | 68258 | 1.00e-4 | 1.73e-2 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 5.00e-2 | 1.88e-2 |
Self Rated Health | Self Rated Health | MTC | Harris | 2016 | NA | 111749 | 1.00e-2 | 3.17e-2 |
Tetralogy Of Fallot | Tetralogy Of Fallot | MTC | Cordell | 2013 | 835 | 5159 | 5.00e-2 | 3.60e-2 |
Tiredness | Tiredness | MTC | Deary | 2018 | NA | 108976 | 5.00e-2 | 2.97e-3 |
Tiredness | Tiredness | MTC | Deary | 2018 | NA | 108976 | 1.00e-2 | 4.11e-2 |
Albuminuria | Microalbuminuria | MTC | Boger | 2011 | NA | 31580 | 5.00e-2 | 4.01e-2 |
Albuminuria | Microalbuminuria | MTC | Boger | 2011 | NA | 31580 | 1.00e-2 | 1.01e-2 |
Albuminuria | Microalbuminuria | MTC | Boger | 2011 | NA | 31580 | 1.00e-3 | 6.96e-4 |
Albuminuria | Microalbuminuria | MTC | Teumer | 2016 | NA | 54116 | 1.00e-2 | 3.25e-2 |
Alzheimers Protein Levels | Phosphorylated Tau Position 181 | MTC | Ramirez | 2014 | NA | 363 | 5.00e-2 | 4.07e-3 |
Alzheimers Protein Levels | Phosphorylated Tau Position 181 | MTC | Ramirez | 2014 | NA | 363 | 1.00e-2 | 2.37e-3 |
Alzheimers Protein Levels | Phosphorylated Tau Position 181 | MTC | Ramirez | 2014 | NA | 363 | 1.00e-3 | 3.91e-5 |
Anthropometrics Sex Stratified | Body Mass Index Women | MTC | Randall | 2013 | NA | 73137 | 5.00e-2 | 3.73e-2 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 5.00e-2 | 1.19e-2 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-2 | 8.58e-3 |
Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-3 | 1.06e-4 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-2 | 9.55e-3 |
Anthropometrics Sex Stratified | Waist Circumference Adjusted For BMI Men | MTC | Randall | 2013 | NA | 36231 | 1.00e-3 | 2.37e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Women | MTC | Randall | 2013 | NA | 42969 | 1.00e-4 | 2.71e-3 |
Anthropometrics Sex Stratified | Waist Hip Ratio Men | MTC | Randall | 2013 | NA | 34629 | 1.00e-3 | 2.57e-2 |
Anthropometrics Sex Stratified | Waist Hip Ratio Women | MTC | Randall | 2013 | NA | 42969 | 1.00e-3 | 2.71e-2 |
Anthropometrics Sex Stratified | Weight Men | MTC | Randall | 2013 | NA | 60856 | 1.00e-3 | 2.29e-2 |
Anthropometrics Sex Stratified | Weight Men | MTC | Randall | 2013 | NA | 60856 | 1.00e-4 | 4.91e-2 |
Anthropometrics Sex Stratified | Weight Men | MTC | Randall | 2013 | NA | 60856 | 1.00e-5 | 2.47e-3 |
Anthropometrics Sex Stratified | Weight Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 4.95e-2 |
Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 5.00e-2 | 4.18e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 1.31e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 4.41e-2 |
Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 2.97e-2 |
BMI Age Stratified | BMI Men Age Under 50 | MTC | Winkler | 2015 | NA | 51625 | 5.00e-2 | 2.27e-2 |
BMI Age Stratified | BMI Men Age Under 50 | MTC | Winkler | 2015 | NA | 51625 | 1.00e-2 | 3.07e-2 |
BMI Age Stratified | BMI Women Age Under 50 | MTC | Winkler | 2015 | NA | 60654 | 1.00e-5 | 3.95e-2 |
BMI Physical Activity Interaction | BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 1.87e-2 |
BMI Physical Activity Interaction | BMI Active European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-4 | 2.87e-2 |
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 Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-5 | 3.86e-2 |
BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 1.00e-2 | 3.16e-2 |
BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Adjusted For Physical Activity European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 3.39e-2 |
BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Men European | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 4.04e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 32961 | 1.00e-4 | 4.36e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 32961 | 1.00e-5 | 1.88e-2 |
Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 5.00e-2 | 4.53e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 30 to 45 | MTC | Medina-Gomez | 2018 | NA | 10062 | 5.00e-2 | 2.20e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 30 to 45 | MTC | Medina-Gomez | 2018 | NA | 10062 | 1.00e-2 | 2.59e-2 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 5.00e-2 | 3.34e-3 |
Bone Mineral Density Lifecourse | Total Body Bone Mineral Density All | MTC | Medina-Gomez | 2018 | NA | 56284 | 5.00e-2 | 2.25e-3 |
Bone Mineral Density | Femoral Neck Bone Mineral Density | ETC | Zheng | 2015 | NA | 26320 | 5.00e-2 | 3.16e-2 |
Bone Mineral Density | Femoral Neck Bone Mineral Density | ETC | Zheng | 2015 | NA | 26320 | 1.00e-2 | 1.22e-2 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-2 | 3.39e-2 |
Breast Cancer | Breast Cancer | MTC | Milne | 2017 | 14135 | 58126 | 1.00e-4 | 4.79e-2 |
Cognitive Functions | College | MTC | Davies | 2016 | NA | 111114 | 5.00e-2 | 2.02e-2 |
Cognitive Functions | Verbal Numeric Reasoning | MTC | Davies | 2016 | NA | 36035 | 5.00e-2 | 1.94e-2 |
Cognitive Functions | Verbal Numeric Reasoning | MTC | Davies | 2016 | NA | 36035 | 1.00e-2 | 3.10e-2 |
Cognitive Functions | Verbal Numeric Reasoning | MTC | Davies | 2016 | NA | 36035 | 1.00e-3 | 6.29e-3 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 8.83e-3 |
Coronary Artery Disease | Coronary Artery Disease Additive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 3.42e-2 |
Diarrhoeal Disease | Diarrhea Doctor Diagnosed Age 1 | MTC | Bustamante | 2016 | 1339 | 5064 | 1.00e-2 | 9.53e-3 |
Ectopic Fat Traits | Pericardial Adipose Tissue Volume Adjusted For Height Weight All | MTC | Chu | 2017 | NA | 7324 | 5.00e-2 | 2.14e-2 |
Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 1.00e-2 | 3.59e-2 |
Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation All | MTC | Chu | 2017 | NA | 11398 | 5.00e-2 | 4.89e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation All | MTC | Chu | 2017 | NA | 11478 | 5.00e-2 | 2.04e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Men | MTC | Chu | 2017 | NA | 5749 | 5.00e-2 | 4.05e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Attenutation Men | MTC | Chu | 2017 | NA | 5749 | 1.00e-2 | 8.68e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 5.00e-2 | 2.84e-2 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14863 | 1.00e-2 | 5.76e-3 |
Ectopic Fat Traits | Visceral Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7432 | 5.00e-2 | 1.64e-3 |
Facial Shape | Mod1 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 4.89e-2 |
Facial Shape | Mod19 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 2.66e-2 |
Facial Shape | Mod35 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.88e-2 |
Facial Shape | Mod36 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.13e-2 |
Facial Shape | Mod4 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 1.55e-2 |
Facial Shape | Mod41 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 8.53e-3 |
Facial Shape | Mod44 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.51e-2 |
Facial Shape | Mod45 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.57e-2 |
Facial Shape | Mod61 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.20e-2 |
Facial Shape | Mod62 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.40e-2 |
Forced Expiratory Volume | Forced Vital Capacity | MTC | Soler-Artigas | 2015 | NA | 38199 | 5.00e-2 | 1.32e-2 |
Glucose Stimulated Insulin Secretion | AUC Insulin | MTC | Prokopenko | 2014 | NA | 10837 | 1.00e-3 | 3.95e-2 |
Insulin Secretion | Acute Insulin Response | MTC | Wood | 2017 | NA | 2087 | 5.00e-2 | 7.56e-3 |
Insulin Secretion | Insulin Secretion Rate | MTC | Wood | 2017 | NA | 527 | 1.00e-2 | 2.31e-2 |
Ischaemic Stroke | All Stroke | MTC | Traylor | 2012 | 10210 | 12285 | 1.00e-2 | 3.87e-2 |
Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 5.00e-2 | 1.03e-4 |
Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 1.00e-2 | 5.66e-5 |
Kidney Function | eGFR Decline With Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 1.00e-2 | 2.70e-2 |
Kidney Function | eGFR Decline With Chronic Kidney Disease | MTC | Gorski | 2015 | NA | 45530 | 1.00e-3 | 4.36e-2 |
TBLH BMD | Total body less head bone mineral density | MTC | Medina-Gomez | 2017 | NA | 10414 | 5.00e-2 | 3.87e-2 |
TBLH BMD | Total body less head bone mineral density | MTC | Medina-Gomez | 2017 | NA | 10414 | 1.00e-2 | 3.45e-2 |
Pubertal Anthropometrics | Total Pubertal Height Increase Males | MTC | Cousminer | 2013 | NA | 10799 | 1.00e-3 | 2.74e-3 |
Shoulder Dislocation | Shoulder Dislocation, European Or Latino | MTC | Kim | 2017 | 662 | 82602 | 1.00e-3 | 2.97e-2 |
Stroke (ischemic) | All Ischemic Stroke | MTC | Traylor | 2017 | 12389 | 62004 | 1.00e-2 | 4.53e-2 |
Stroke (ischemic) | Cardioembolic Stroke | MTC | Traylor | 2017 | 2365 | 62004 | 1.00e-2 | 4.64e-2 |
Stroke (ischemic) | Small Vessel Stroke | MTC | Traylor | 2017 | 1894 | 62004 | 1.00e-2 | 3.49e-2 |
Smoking | Current Vs Former Discrete | MTC | Furberg | 2010 | 20619 | 15226 | 1.00e-3 | 1.58e-2 |
Smoking | Log Age Onset Smoking | MTC | Furberg | 2010 | NA | 22438 | 1.00e-2 | 1.92e-2 |
Smoking | Log Age Onset Smoking | MTC | Furberg | 2010 | NA | 22438 | 1.00e-3 | 1.58e-2 |
Social Deprivation | Household Income | MTC | Hill | 2016 | NA | 112005 | 1.00e-2 | 5.21e-3 |
Social Deprivation | Household Income One Person Per Household | MTC | Hill | 2016 | NA | 112005 | 1.00e-2 | 3.21e-2 |
Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 9.58e-3 |
Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 4.96e-2 |
Tanner Stage | Tanner Stage Males | MTC | Cousminer | 2014 | NA | 3769 | 1.00e-3 | 4.36e-2 |
Waist Format 1 | Hip Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-4 | 9.68e-3 |
Waist Format 1 | Hip Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-5 | 9.35e-3 |
Waist Format 1 | Waist Circumference Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-5 | 3.86e-3 |
Waist Format 2 | Hip Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 3.68e-2 |
Waist Format 2 | Waist Circumference Adjusted For BMI Males European | MTC | Shungin | 2015 | NA | 56910 | 1.00e-4 | 3.81e-2 |
SLE | Systemic Lupus Erythematosus | ETC | Bentham | 2015 | 7219 | 15991 | 1.00e-4 | 4.19e-2 |
Handedness | Handedness, right-handed vs non-right-handed | ETC | Kovel | 2019 | 293857 | 37180 | 1.00e-3 | 4.29e-2 |
Active | Time to most active 10 hours | ETC | Jones | 2019 | NA | 85670 | 5.00e-2 | 4.01e-2 |
Neuroticism | Worry-vulnerability-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-2 | 3.77e-2 |
Neuroticism | Anxiety-tension-special-factor-of-neuroticism | ETC | Hill | 2019 | NA | 270059 | 1.00e-2 | 3.77e-2 |
Obesity | Obesity, extreme obese children vs control adult | ETC | McKay | 2019 | 1456 | 6460 | 5.00e-2 | 4.60e-3 |
Obesity | Obesity, extreme obese children vs control adult | ETC | McKay | 2019 | 1456 | 6460 | 1.00e-2 | 4.95e-3 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 5.00e-2 | 2.87e-6 |
Osteoarthritis | Osteoarthritis | ETC | Tachmazidou | 2019 | 77052 | 378169 | 1.00e-2 | 6.26e-3 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 5.00e-2 | 8.06e-4 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-2 | 9.70e-3 |
Osteoarthritis | Osteoarthritis of the hip or knee | ETC | Tachmazidou | 2019 | 39427 | 378169 | 1.00e-3 | 1.51e-2 |
Osteoarthritis | Osteoarthritis hip | ETC | Tachmazidou | 2019 | 15704 | 378169 | 5.00e-2 | 3.20e-2 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 5.00e-2 | 4.65e-2 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 1.00e-2 | 4.11e-2 |
Psoriatic arthritis | Psoriatic arthritis | ETC | Aterido | 2018 | 744 | 1454 | 1.00e-3 | 1.06e-3 |
Physical activity | Physical activity, moderate intensity activity duration | ETC | Doherty | 2018 | NA | 91105 | 1.00e-2 | 2.17e-2 |
Fimbria volume | Fimbria volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.40e-3 |
Fimbria volume | Fimbria volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 6.89e-3 |
Fimbria volume | Fimbria volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 9.69e-3 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 5.00e-2 | 5.16e-3 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-2 | 2.61e-2 |
IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-3 | 9.54e-4 |
Medication use | Medication use (drugs for peptic ulcer and gastro-oesophageal reflux disease) | ETC | Wu Y | 2019 | 53,137 | 79,230 | 1.00e-3 | 2.66e-2 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 5.00e-2 | 2.72e-2 |
Medication use | Medication use (beta blocking agents) | ETC | Wu Y | 2019 | 31,700 | 192,324 | 1.00e-2 | 2.26e-2 |
Medication use | Medication use (anti-inflammatory and antirheumatic products, non-steroids) | ETC | Wu Y | 2019 | 74,150 | 90,370 | 1.00e-3 | 3.97e-2 |
Medication use | Medication use (opioids) | ETC | Wu Y | 2019 | 22,982 | 55,826 | 5.00e-2 | 4.79e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-2 | 1.28e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-4 | 1.40e-2 |
Medication use | Medication use (salicylic acid and derivatives) | ETC | Wu Y | 2019 | 61,583 | 50,427 | 1.00e-5 | 8.45e-3 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 5.00e-2 | 2.08e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-2 | 2.85e-2 |
Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-4 | 4.93e-2 |
Glomerular filtration rate | Estimated glomerular filtration rate | ETC | Wuttke M | 2019 | NA | 567,460 | 1.00e-5 | 4.99e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 5.00e-2 | 1.47e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-2 | 1.80e-2 |
CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 1.00e-3 | 4.54e-2 |
Renal cell carcinoma | Renal cell carcinoma female | ETC | Laskar RS | 2019 | 1,992 | 3,095 | 5.00e-2 | 8.17e-3 |
Renal cell carcinoma | Renal cell carcinoma female | ETC | Laskar RS | 2019 | 1,992 | 3,095 | 1.00e-2 | 2.25e-2 |
Renal cell carcinoma | Renal cell carcinoma male | ETC | Laskar RS | 2019 | 3,227 | 4,916 | 5.00e-2 | 4.32e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 5.00e-2 | 1.39e-2 |
Periodontal disease | Periodontal disease related phenotype (PCT4) | ETC | Offenbacher S | 2016 | NA | 975 | 1.00e-2 | 3.12e-2 |
Stress sensitivity | Stress sensitivity (neuroticism score x major depressive disorder status interaction) | ETC | Arnau-Soler A | 2018 | 2,010 | 5,145 | 5.00e-2 | 3.72e-2 |
Longevity | Longevity (age >90th survival percentile) | ETC | Deelen J | 2019 | 11,262 | 25,483 | 1.00e-4 | 4.36e-2 |
Longevity | Longevity (age >99th survival percentile) | ETC | Deelen J | 2019 | 3,484 | 25,483 | 1.00e-3 | 1.12e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 5.00e-2 | 3.47e-2 |
same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 1.00e-2 | 6.60e-3 |
Occipital lobe volume | Occipital lobe volume | ETC | van der Lee SJ | 2019 | NA | 15,269 | 5.00e-2 | 4.27e-2 |
Visceral adipose tissue | Predicted visceral adipose tissue Male | ETC | Karlsson T | 2019 | NA | 163,984 | 1.00e-2 | 3.78e-2 |
Birth | Gestational age at birth (child effect) | ETC | Liu X | 2019 | NA | 84,689 | 1.00e-2 | 2.13e-2 |
Birth | Early spontaneous preterm birth | ETC | Liu X | 2019 | 1,139 | 60,148 | 5.00e-2 | 4.62e-2 |
Birth | Spontaneous preterm birth (preterm birth) | ETC | Liu X | 2019 | 4,775 | 60,148 | 5.00e-2 | 3.54e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 5.00e-2 | 2.46e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-4 | 1.51e-2 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Teumer A | 2019 | NA | 547,361 | 1.00e-5 | 3.11e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-4 | 3.83e-2 |
Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-5 | 6.96e-3 |
AD | Alzheimer's disease | ETC | Moreno-Grau S | 2019 | 4,120 | 3,289 | 1.00e-3 | 5.83e-3 |
Basal metabolic rate | Basal metabolic rate variance | ETC | Wang H | 2019 | NA | 341,584 | 1.00e-3 | 3.01e-2 |
BMI | Body mass index variance | ETC | Wang H | 2019 | NA | 346,393 | 1.00e-5 | 9.69e-3 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-4 | 3.25e-2 |
Hip circumference | Hip circumference variance | ETC | Wang H | 2019 | NA | 346,781 | 1.00e-5 | 1.32e-2 |
Lung function | Lung function (FEV1) variance | ETC | Wang H | 2019 | NA | 317,285 | 5.00e-2 | 4.70e-3 |
Macular degeneration | Disease progression in age-related macular degeneration (adjusted for baseline) | ETC | Yan Q | 2018 | NA | 2,721 | 5.00e-2 | 3.13e-3 |
Uterine fibroids and heavy menstrual bleeding | Uterine fibroids and heavy menstrual bleeding | ETC | Gallagher CS | 2019 | 3,409 | 199,171 | 1.00e-3 | 2.25e-2 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 5.00e-2 | 1.84e-2 |
Cytokine network | Cytokine network levels (multivariate analysis) | ETC | Nath AP | 2019 | NA | 9,263 | 1.00e-2 | 1.84e-2 |
BMI by age | BMI at 6 weeks old | ETC | Helgeland O | 2019 | NA | 6,450 | 5.00e-2 | 1.73e-2 |
BMI by age | BMI at 3 months old | ETC | Helgeland O | 2019 | NA | 7,970 | 5.00e-2 | 1.17e-2 |
BMI by age | BMI at 6 months old | ETC | Helgeland O | 2019 | NA | 8,017 | 5.00e-2 | 5.25e-3 |
BMI by age | BMI at 5 years old | ETC | Helgeland O | 2019 | NA | 4,245 | 5.00e-2 | 3.46e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 5.00e-2 | 1.54e-3 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-2 | 7.58e-3 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-3 | 1.92e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-4 | 1.20e-2 |
Optic cup area | Optic cup area | ETC | Bonnemaijer PWM | 2019 | NA | 24,493 | 1.00e-5 | 1.53e-2 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 5.00e-2 | 1.45e-4 |
Vertical cup to disc ratio | Vertical cup-disc ratio | ETC | Bonnemaijer PWM | 2019 | NA | 25,180 | 1.00e-4 | 3.23e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 5.00e-2 | 2.27e-2 |
Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-2 | 2.70e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-2 | 4.34e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-3 | 1.83e-2 |
Refractive error | Refractive error (autorefraction measured) | ETC | Ghorbani Mojarrad N | 2020 | NA | 95,619 | 1.00e-4 | 3.19e-2 |
Epithelial | epithelial cell adhesion molecule levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 7.07e-3 |
Albumin to creatinine ratio | Urinary albumin-to-creatinine ratio | ETC | Casanova F | 2019 | NA | 437,027 | 1.00e-4 | 1.96e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 5.00e-2 | 2.44e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-2 | 1.93e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-3 | 2.20e-2 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-4 | 5.76e-3 |
Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-5 | 5.87e-3 |
Snoring | Snoring main | ETC | Campos AI | 2020 | 152,302 | 256,015 | 5.00e-2 | 1.62e-2 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 5.00e-2 | 3.63e-3 |
Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-2 | 1.57e-2 |
Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 1.00e-5 | 2.95e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-3 | 3.50e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-4 | 3.22e-2 |
Parental lifespan | Parental lifespan | ETC | Timmers PR | 2019 | NA | 500,193 | 1.00e-5 | 1.48e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 5.00e-2 | 4.15e-2 |
Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-3 | 2.98e-2 |
COVID-19 Host Genetics | predicted covid from self-reported symptoms vs. predicted or self-reported non-covid (EA) | ETC | covid19hg | 2020 | 1865 | 29174 | 5.00e-2 | 4.89e-2 |
COVID-19 | Severe COVID-19 infection with respiratory failure (analysis I) | ETC | Ellinghaus D | 2020 | 1610 | 2205 | 1.00e-3 | 1.78e-2 |
Alzheimer's disease (late onset) | late-onset Alzheimers disease | ETC | Kunkle BW | 2019 | 21982 | 41944 | 1.00e-2 | 4.87e-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.