Cell type-associated traits map for the [FetalStomach_Smooth muscle 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 [FetalStomach_Smooth muscle 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) |
|---|---|---|---|---|---|---|---|---|
| ADHD | Attention Deficit Hyperactivity Disorder | ETC | Demontis | 2017 | 19099 | 34194 | 1.00e-4 | 3.56e-2 |
| Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-2 | 3.01e-2 |
| Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-3 | 1.27e-2 |
| Bone Mineral Density Estimated | Bone Mineral Density Estimated | MTC | Kemp | 2017 | NA | 142487 | 1.00e-4 | 3.38e-2 |
| Gout | Gout | MTC | Kottgen | 2013 | 2115 | 67259 | 1.00e-3 | 3.15e-2 |
| Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-3 | 1.12e-2 |
| Intelligence | Intelligence | MTC | Sniekers | 2017 | NA | 78308 | 1.00e-4 | 2.69e-2 |
| MDD | Major Depressive Disorder | MTC | PGC | 2013 | 9240 | 9519 | 5.00e-2 | 1.45e-2 |
| MDD | Major Depressive Disorder | MTC | PGC | 2013 | 9240 | 9519 | 1.00e-3 | 4.43e-2 |
| Neuroticism Symptoms | Neuroticism Symptoms | ETC | Okbay | 2016 | NA | 170911 | 5.00e-2 | 5.81e-3 |
| Alcohol Consumption | Alcohol Consumption Men Continuous | MTC | Schumann | 2016 | NA | 27560 | 5.00e-2 | 2.88e-2 |
| Alzheimers Protein Levels | Phosphorylated Tau Position 181 | MTC | Ramirez | 2014 | NA | 363 | 1.00e-3 | 3.58e-2 |
| Anthropometric Extremes | Extreme BMI | MTC | Berndt | 2013 | 7962 | 8106 | 1.00e-3 | 4.34e-2 |
| Anthropometric Extremes | Extreme Height | MTC | Berndt | 2013 | 8097 | 8099 | 1.00e-5 | 3.88e-2 |
| Anthropometrics Sex Stratified | Height Men | MTC | Randall | 2013 | NA | 60856 | 1.00e-5 | 4.37e-2 |
| Anthropometrics Sex Stratified | Height Women | MTC | Randall | 2013 | NA | 73137 | 1.00e-2 | 3.54e-2 |
| Anthropometrics Sex Stratified | Hip Circumference Adjusted For BMI Women | MTC | Randall | 2013 | NA | 43316 | 1.00e-2 | 2.88e-2 |
| Anthropometrics Sex Stratified | Hip Circumference Men | MTC | Randall | 2013 | NA | 34942 | 1.00e-3 | 1.28e-2 |
| Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Men | MTC | Randall | 2013 | NA | 34629 | 5.00e-2 | 2.18e-2 |
| Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Women | MTC | Randall | 2013 | NA | 42969 | 1.00e-2 | 3.35e-2 |
| Anthropometrics Sex Stratified | Waist Hip Ratio Adjusted For BMI Women | MTC | Randall | 2013 | NA | 42969 | 1.00e-3 | 7.87e-3 |
| Anthropometrics Sex Stratified | Waist Hip Ratio Men | MTC | Randall | 2013 | NA | 34629 | 1.00e-3 | 1.59e-2 |
| Anthropometrics Sex Stratified | Weight Men | MTC | Randall | 2013 | NA | 60856 | 1.00e-2 | 4.18e-2 |
| Anxiety | Anxiety Continuous | ETC | Otowa | 2016 | NA | 18186 | 5.00e-2 | 3.04e-2 |
| Blood Cells | Basophil Counts | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-2 | 4.58e-2 |
| Blood Cells | Total Blood Hemoglobin | MTC | Ferreira | 2009 | NA | 6015 | 1.00e-3 | 2.29e-2 |
| Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-2 | 4.40e-2 |
| Blood Lipids | High Density Lipoprotein | ETC | Teslovich | 2010 | NA | 99900 | 1.00e-3 | 1.39e-2 |
| Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 1.00e-2 | 3.24e-2 |
| Blood Lipids | Triglycerides | ETC | Teslovich | 2010 | NA | 96598 | 1.00e-3 | 4.75e-2 |
| Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 3.56e-2 |
| Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-3 | 4.05e-3 |
| Blood Lipids | High Density Lipoprotein GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-4 | 1.68e-2 |
| Blood Lipids | Triglycerides GWAS and Metabochip | MTC | Willer | 2013 | NA | 94595 | 1.00e-2 | 1.52e-2 |
| BMI Age Stratified | Waist Hip Ratio Adjusted For BMI Women Under 50 | MTC | Winkler | 2015 | NA | 50526 | 5.00e-2 | 1.14e-2 |
| BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Active European Men | MTC | GIANT | 2017 | NA | 104666 | 5.00e-2 | 3.38e-2 |
| BMI Physical Activity Interaction | Waist Circumference Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 1.93e-2 |
| BMI Physical Activity Interaction | Waist Hip Ratio Adjusted For BMI Inactive European Women | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 3.11e-2 |
| BMI Smoking Adjusted | Waist Circumference Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 5.00e-2 | 4.97e-2 |
| BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-2 | 4.92e-2 |
| BMI Smoking Adjusted | Waist Hip Ratio Adjusted BMI Adjusted Smoking Women European | MTC | GIANT | 2017 | NA | 132115 | 1.00e-3 | 1.66e-2 |
| Bone Mineral Density | Femoral Neck Bone Mineral Density Women | MTC | Estrada | 2012 | NA | 32961 | 1.00e-2 | 1.83e-2 |
| Bone Mineral Density | Lumbar Spine Bone Mineral Density All | MTC | Estrada | 2012 | NA | 31800 | 1.00e-3 | 2.97e-2 |
| Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 5.00e-2 | 4.21e-2 |
| Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-2 | 5.24e-3 |
| Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-3 | 2.89e-2 |
| Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-4 | 2.95e-2 |
| Bone Mineral Density Lifecourse | Total Body Bone Mineral Density 45 to 60 | MTC | Medina-Gomez | 2018 | NA | 18805 | 1.00e-5 | 3.72e-2 |
| Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 1.00e-2 | 1.66e-2 |
| Bone Mineral Density | Forearm Bone Mineral Density | ETC | Zheng | 2015 | NA | 6627 | 1.00e-3 | 3.15e-2 |
| Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 1.00e-2 | 4.39e-3 |
| Bone Mineral Density | Lumbar Spine Bone Mineral Density | MTC | Zheng | 2015 | NA | 23699 | 1.00e-3 | 3.98e-2 |
| Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 5.00e-2 | 3.38e-2 |
| Coronary Artery Disease | Coronary Artery Disease Recessive Model | MTC | Nikpay | 2015 | 42096 | 99121 | 1.00e-2 | 8.23e-4 |
| Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Adjusted For BMI Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 4.97e-2 |
| Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14668 | 5.00e-2 | 4.97e-2 |
| Ectopic Fat Traits | Ratio Of Visceral To Subcutaneous Adipose Tissue Volume Men | MTC | Chu | 2017 | NA | 7050 | 5.00e-2 | 3.17e-2 |
| Ectopic Fat Traits | Subcutaneous Adipose Tissue Attenuation Men | MTC | Chu | 2017 | NA | 5699 | 5.00e-2 | 3.92e-3 |
| Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume All | MTC | Chu | 2017 | NA | 14780 | 1.00e-3 | 1.78e-3 |
| Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7399 | 1.00e-2 | 3.55e-2 |
| Ectopic Fat Traits | Subcutaneous Adipose Tissue Volume Women | MTC | Chu | 2017 | NA | 7399 | 1.00e-3 | 2.89e-2 |
| Facial Shape | Mod23 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.06e-2 |
| Facial Shape | Mod28 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 3.12e-2 |
| Facial Shape | Mod31 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 3.07e-2 |
| Facial Shape | Mod42 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 1.28e-2 |
| Facial Shape | Mod46 | MTC | Claes | 2018 | NA | 2329 | 1.00e-2 | 4.58e-2 |
| Facial Shape | Mod46 | MTC | Claes | 2018 | NA | 2329 | 1.00e-3 | 7.12e-3 |
| Facial Shape | Mod53 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 1.60e-2 |
| Facial Shape | Mod56 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 2.79e-2 |
| Facial Shape | Mod61 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 4.40e-2 |
| Facial Shape | Mod63 | MTC | Claes | 2018 | NA | 2329 | 5.00e-2 | 9.60e-3 |
| Gestational Weight Gain | Early Gestational Weight Gain Offspring Variants | MTC | Warrington | 2017 | NA | 8559 | 1.00e-2 | 4.46e-2 |
| Glycemic Traits | HOMA IR | MTC | Dupuis | 2010 | NA | 37037 | 5.00e-2 | 2.22e-3 |
| Insulin Secretion | Disposition Index | MTC | Wood | 2017 | NA | 2042 | 5.00e-2 | 2.80e-2 |
| Insulin Secretion | Disposition Index Adjusted For BMI | MTC | Wood | 2017 | NA | 2042 | 5.00e-2 | 1.22e-2 |
| Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 5.00e-2 | 3.89e-2 |
| Intracerebral Hemorrhage | All ICH | MTC | Woo | 2014 | 1545 | 1481 | 1.00e-2 | 9.13e-3 |
| Intracerebral Hemorrhage | Nonlobar ICH | MTC | Woo | 2014 | 881 | 1481 | 5.00e-2 | 8.57e-3 |
| Ischaemic Stroke | Cardioembolic Stroke | MTC | Traylor | 2012 | 1715 | 12285 | 1.00e-2 | 2.83e-2 |
| Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 2.69e-2 |
| Statin Efficacy | Delta LDL | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 3.64e-2 |
| Statin Efficacy | Delta LDL With Statin | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 3.42e-2 |
| Statin Efficacy | Delta TC | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 4.03e-2 |
| Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 5.00e-2 | 2.34e-2 |
| Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-2 | 2.79e-2 |
| Statin Efficacy | Delta TG | MTC | Barber | 2010 | NA | 3928 | 1.00e-3 | 4.00e-2 |
| Tanner Stage | Tanner Stage Males | MTC | Cousminer | 2014 | NA | 3769 | 1.00e-3 | 2.57e-2 |
| Waist Format 1 | Hip Circumference European | MTC | Shungin | 2015 | NA | 143480 | 5.00e-2 | 1.29e-2 |
| Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-3 | 4.78e-2 |
| Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 4.37e-2 |
| Waist Format 1 | Waist Hip Ratio Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-5 | 1.40e-2 |
| Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-3 | 1.14e-2 |
| Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 2.04e-3 |
| Waist Format 1 | Waist Hip Ratio Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-5 | 4.79e-2 |
| Waist Format 2 | Hip Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 2.68e-2 |
| Waist Format 2 | Hip Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-2 | 3.57e-2 |
| Waist Format 2 | Hip Circumference Adjusted For BMI Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 4.19e-2 |
| Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-2 | 4.81e-2 |
| Waist Format 2 | Waist Circumference Adjusted For BMI European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 2.56e-2 |
| Waist Format 2 | Waist Hip Ratio European | MTC | Shungin | 2015 | NA | 143480 | 1.00e-4 | 1.81e-2 |
| Waist Format 2 | Waist Hip Ratio Females European | MTC | Shungin | 2015 | NA | 86570 | 1.00e-4 | 1.73e-2 |
| COL | SSGAC_College | ETC | Rietveld | 2013 | NA | 101069 | 5.00e-2 | 2.74e-2 |
| CEL | Celiac Disease | ETC | Trynka | 2011 | 12041 | 12228 | 1.00e-2 | 4.63e-2 |
| Ambidextrousness | Ambidextrousness | ETC | Kovel | 2019 | 5324 | 325713 | 1.00e-2 | 4.17e-2 |
| Handedness | Handedness, left-handed vs non-left-handed | ETC | Kovel | 2019 | 31856 | 299181 | 1.00e-2 | 3.77e-2 |
| Sleep | Sleep efficiency | ETC | Jones | 2019 | NA | 84810 | 1.00e-3 | 2.56e-2 |
| Depression | Depressive-symptoms | ETC | Baselmans | 2019 | NA | 1067913 | 1.00e-3 | 3.47e-2 |
| Neuroticism | Neuroticism | ETC | Baselmans | 2019 | NA | 523783 | 5.00e-2 | 3.23e-2 |
| Body fat | Body fat percentage | ETC | Hubel | 2018 | 70700 | 85261 | 5.00e-2 | 1.36e-2 |
| Hippocampal volume | Hippocampal tail volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.33e-2 |
| Hippocampal volume | Hippocampal tail volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 4.90e-2 |
| Hippocampal volume | Total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.27e-2 |
| Hippocampal volume | Total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 2.61e-2 |
| Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.63e-4 |
| Hippocampal volume | Hippocampal tail volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.74e-4 |
| Brain volume | Dentate gyrus molecular layer volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 1.51e-2 |
| Brain volume | Dentate gyrus granule cell layer volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 2.33e-2 |
| Brain volume | Dentate gyrus granule cell layer volume corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.70e-2 |
| Hippocampal volume | Hippocampal subfield CA4 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 3.31e-2 |
| Hippocampal volume | Hippocampal subfield CA4 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 2.34e-2 |
| Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 5.00e-2 | 7.55e-3 |
| Hippocampal volume | Hippocampal subfield CA1 volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-4 | 1.59e-2 |
| Subiculum volume | Subiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-2 | 1.81e-3 |
| Subiculum volume | Subiculum volume, corrected for total hippocampal volume | ETC | Meer | 2018 | NA | 21297 | 1.00e-3 | 3.58e-2 |
| IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 5.00e-2 | 4.37e-3 |
| IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-2 | 5.43e-4 |
| IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-3 | 3.95e-3 |
| IHPS | Infantile hypertrophic pyloric stenosis | ETC | Fadista | 2018 | NA | 4438 | 1.00e-4 | 2.03e-2 |
| Medication use | Medication use (antidepressants) | ETC | Wu Y | 2019 | 33,757 | 270,405 | 5.00e-2 | 1.26e-2 |
| Medication use | Medication use (antidepressants) | ETC | Wu Y | 2019 | 33,757 | 270,405 | 1.00e-2 | 2.64e-2 |
| Medication use | Medication use (antiglaucoma preparations and miotics) | ETC | Wu Y | 2019 | 5,215 | 95,653 | 1.00e-3 | 4.79e-2 |
| CKD | Chronic kidney disease | ETC | Wuttke M | 2019 | 64,164 | 561,055 | 5.00e-2 | 4.47e-2 |
| Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-3 | 2.68e-2 |
| Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-4 | 9.98e-4 |
| Diverticular disease | Diverticular disease | ETC | Schafmayer C | 2019 | 31,964 | 419,135 | 1.00e-5 | 6.28e-4 |
| Longevity | Longevity (age >90th survival percentile) | ETC | Deelen J | 2019 | 11,262 | 25,483 | 1.00e-2 | 1.62e-2 |
| Longevity | Longevity (age >90th survival percentile) | ETC | Deelen J | 2019 | 11,262 | 25,483 | 1.00e-3 | 2.59e-2 |
| same-sex sexual behaviour | same-sex sexual behaviour Female | ETC | Ganna A | 2019 | NA | 220,170 | 1.00e-3 | 2.37e-2 |
| Asthma | Asthma | ETC | Zhu Z | 2019 | 46,802 | 347,481 | 1.00e-4 | 2.98e-2 |
| Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 379,501 | 1.00e-4 | 1.25e-2 |
| Waist to hip ratio | Waist-to-hip ratio adjusted for BMI | ETC | Pulit SL | 2019 | NA | 315,284 | 1.00e-2 | 4.11e-2 |
| Waist to hip ratio | Waist-hip ratio | ETC | Pulit SL | 2019 | NA | 381,152 | 1.00e-2 | 4.26e-2 |
| Eosinophilic granulomatosis | Eosinophilic granulomatosis with polyangiitis (MPO-ANCA positive) | ETC | Lyons PA | 2019 | 159 | 6,688 | 1.00e-3 | 3.10e-2 |
| Left ventricular | Left ventricular mass to end-diastolic volume ratio | ETC | Aung N | 2019 | NA | 16,884 | 1.00e-5 | 1.88e-2 |
| Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-4 | 1.55e-2 |
| Intraocular pressure | Intraocular pressure | ETC | Bonnemaijer PWM | 2019 | NA | 31,269 | 1.00e-5 | 8.26e-4 |
| Temporale asymmetry | Planum temporale asymmetry index | ETC | Carrion-Castillo A | 2020 | NA | 18,049 | 1.00e-2 | 4.89e-2 |
| C-X-C chmokine | C-X-C motif chemokine 10 levels | ETC | Enroth S | 2014 | NA | 653 | 5.00e-2 | 3.38e-2 |
| Glaucoma (MTAG) | Glaucoma (multi-trait analysis) | ETC | Craig JE | 2020 | 119,318 | 232,378 | 1.00e-5 | 1.07e-2 |
| Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-3 | 1.94e-2 |
| Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-4 | 4.89e-2 |
| Snoring | Snoring adjusted BMI | ETC | Campos AI | 2020 | 151,836 | 255,230 | 1.00e-5 | 3.12e-2 |
| Snoring | Snoring Female | ETC | Campos AI | 2020 | 61,792 | 156,554 | 1.00e-2 | 1.37e-2 |
| Retinal detachment | Retinal detachment or retinal break | ETC | Boutin TS | 2020 | 6148 | 59546 | 1.00e-4 | 1.53e-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.