TreeWAS – [E05] Thyrotoxicosis [hyperthyroidism]

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.976	0.024	0.000
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.972	0.028	0.000
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.972	0.028	0.000
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.862	0.138	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.831	0.169	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.822	0.178	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.814	0.186	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.788	0.212	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.763	0.237	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.743	0.257	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.741	0.259	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.727	0.273	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.692	0.308	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.692	0.308	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.689	0.311	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.688	0.312	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.685	0.315	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.685	0.315	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.672	0.328	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.629	0.371	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.605	0.395	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.585	0.415	0.000
rs3813579 lBF = `2.92185` Chr`16` : `79,749,276`	0.567	0.433	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.567	0.433	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.564	0.436	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.561	0.439	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.553	0.446	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.552	0.448	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.547	0.453	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.542	0.458	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.541	0.459	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.533	0.467	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.528	0.472	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.523	0.477	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.477	0.523
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.511	0.489	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.499	0.501	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.495	0.505	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.489	0.511	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.477	0.523	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.472	0.528	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.469	0.531	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.465	0.535	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.462	0.538	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.444	0.556	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.427	0.573	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.423	0.576	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.422	0.577	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.417	0.583	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.397	0.603	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.387	0.612	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.387	0.613	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.380	0.620	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.378	0.622	0.000
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.000	0.630	0.370
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.368	0.631	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.364	0.636	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.361	0.638	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.359	0.641	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.350	0.650	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.348	0.651	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.347	0.653	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.340	0.659	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.335	0.665	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.333	0.667	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.333	0.667	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.325	0.675	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.317	0.683	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.313	0.687	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.311	0.689	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.307	0.693	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.302	0.698	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.301	0.699	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.298	0.702	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.292	0.708	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.286	0.714	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.283	0.717	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.279	0.721	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.268	0.732	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.265	0.735	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.264	0.736	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.252	0.748	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.242	0.758	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.240	0.760	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.239	0.761	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.233	0.767	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.220	0.779	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.211	0.789	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.209	0.790	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.207	0.793	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.205	0.795	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.205	0.795	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.204	0.796	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.202	0.797	0.001
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.202	0.797	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.197	0.802	0.001
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.192	0.808	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.187	0.812	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.184	0.816	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.179	0.821	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.176	0.824	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.176	0.824	0.001
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	0.000	0.824	0.176
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.172	0.828	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.171	0.828	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.171	0.829	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.163	0.837	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.158	0.842	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.157	0.843	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.151	0.849	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.151	0.849	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.150	0.849	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.148	0.852	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.144	0.856	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.144	0.856	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.142	0.858	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.142	0.858	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.138	0.861	0.000
rs924135 lBF = `0.189171` Chr`16` : `16,123,459`	0.000	0.866	0.134
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.133	0.867	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.131	0.869	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.130	0.870	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.129	0.870	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.126	0.874	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.122	0.878	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.118	0.881	0.001
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.114	0.886	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.113	0.887	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.109	0.891	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.109	0.891	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.104	0.896	0.000
rs246234 lBF = `0.0893087` Chr`16` : `16,128,742`	0.000	0.899	0.101
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.000	0.900	0.100
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.097	0.902	0.001
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.095	0.905	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.089	0.910	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.083	0.917	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.080	0.920	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.079	0.921	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.078	0.922	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.077	0.922	0.001
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.073	0.926	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.072	0.927	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.068	0.931	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.067	0.933	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.064	0.936	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.063	0.937	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.062	0.937	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.062	0.938	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.060	0.939	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.059	0.940	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.057	0.943	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.055	0.945	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.054	0.946	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.050	0.950	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.049	0.951	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.048	0.952	0.000
rs367569 lBF = `0.26583` Chr`16` : `11,365,500`	0.000	0.955	0.045
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.044	0.956	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.041	0.958	0.001
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.040	0.959	0.001
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.040	0.959	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.961	0.039
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	0.000	0.962	0.038
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.038	0.962	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	0.962	0.038
rs34792 lBF = `0.0928523` Chr`16` : `15,587,497`	0.000	0.962	0.038
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.038	0.962	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.037	0.963	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.034	0.966	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.033	0.967	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.030	0.970	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.029	0.971	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.028	0.972	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.025	0.975	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.025	0.975	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.024	0.976	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.024	0.976	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.024	0.976	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.023	0.976	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.023	0.977	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.022	0.978	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.022	0.978	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	0.022	0.978	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.022	0.978	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.021	0.979	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	0.021	0.979	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	0.021	0.979	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	0.021	0.979	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.020	0.980	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.020	0.980	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	0.980	0.020
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.019	0.981	0.000
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	0.981	0.019
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.018	0.981	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.018	0.982	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.018	0.982	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.017	0.983	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.017	0.983	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.017	0.983	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.017	0.983	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.016	0.984	0.000
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rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.999	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	0.999	0.000
rs9933429 lBF = `0.544349` Chr`16` : `26,170,940`	0.000	1.000	0.000
rs35320143 lBF = `0.138708` Chr`16` : `66,638,245`	0.000	1.000	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	1.000	0.000
rs560947 lBF = `-0.0903424` Chr`16` : `3,185,737`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs3136202 lBF = `-0.121136` Chr`16` : `14,038,174`	0.000	1.000	0.000
rs26528 lBF = `0.611624` Chr`16` : `28,517,709`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs500492 lBF = `0.00241029` Chr`16` : `1,050,877`	0.000	1.000	0.000
rs8192935 lBF = `-0.0293905` Chr`16` : `55,861,794`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.000	1.000	0.000
rs13329835 lBF = `-0.0402402` Chr`16` : `80,650,805`	0.000	1.000	0.000
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.000	1.000	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.000	1.000	0.000
rs1122794 lBF = `-0.0813802` Chr`16` : `309,155`	0.000	1.000	0.000
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	1.000	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	1.000	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	1.000	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs1397142 lBF = `0.222403` Chr`16` : `9,343,347`	0.000	1.000	0.000
rs12927205 lBF = `0.0509957` Chr`16` : `72,025,077`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.000	1.000	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	1.000	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	1.000	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs4087296 lBF = `-0.00751085` Chr`16` : `82,377,781`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.000	1.000	0.000
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	1.000	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	1.000	0.000
rs8051149 lBF = `0.170541` Chr`16` : `87,878,822`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	1.000	0.000
rs1136001 lBF = `0.0202838` Chr`16` : `15,131,974`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.000	1.000	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.000	1.000	0.000
rs12597084 lBF = `-0.0936541` Chr`16` : `5,819,620`	0.000	1.000	0.000
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	0.000	1.000	0.000
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.000	1.000	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.000	1.000	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.000	1.000	0.000
rs2217332 lBF = `-0.0641653` Chr`16` : `56,969,148`	0.000	1.000	0.000
rs7193230 lBF = `-0.0987956` Chr`16` : `76,318,542`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs2240255 lBF = `-0.0360385` Chr`16` : `74,772,798`	0.000	1.000	0.000
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.000	1.000	0.000
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.000	1.000	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.9909

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5226

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0867

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0804

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

1.0000

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

1.0000

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

1.0000

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9995

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9975

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9896

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9873

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.9839

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9805

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9782

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9740

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9678

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9646

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9534

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9424

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9396

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9145

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9104

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9075

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8962

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8882

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8774

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8439

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8276

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8112

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8102

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7945

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7894

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7878

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7759

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7721

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7720

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7621

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7584

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7576

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7411

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7319

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7237

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7222

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7170

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7164

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6819

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6789

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6604

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6591

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6526

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6391

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6386

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6349

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6163

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6085

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6027

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5997

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5965

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5954

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5875

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5702

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5662

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5410

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5267

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5222

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4974

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4950

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4879

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4693

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4533

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4336

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4335

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4298

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4255

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3952

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3710

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3690

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3500

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3390

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3330

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3313

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3214

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3187

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3172

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3152

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3072

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3038

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2986

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2960

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2944

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2936

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2897

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2889

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2880

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2868

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2740

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2653

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2644

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2642

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2566

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2557

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2547

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2508

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2443

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2428

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2361

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2347

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2304

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2289

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2262

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2262

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2217

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2214

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2150

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2080

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2069

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2066

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2007

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1936

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1934

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1739

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1733

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1731

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1715

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1701

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1696

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1676

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1656

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1639

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1626

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1609

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1609

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1586

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1583

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1570

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1539

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1526

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1469

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1415

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1410

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1383

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1365

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1362

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1330

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1319

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1304

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1298

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1294

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1293

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1277

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1276

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1221

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1218

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1191

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1159

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1092

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1066

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1050

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1021

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0989

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0963

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0956

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0950

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0949

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0910

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0899

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0893

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0876

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0844

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0812

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0782

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0755

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0752

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0728

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.0683

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0681

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0643

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0603

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0591

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0583

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0575

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0562

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0540

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0525

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0511

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Parent term	E00-E07 Disorders of thyroid gland
Nested terms	E05.0 Thyrotoxicosis with diffuse goitre E05.1 Thyrotoxicosis with toxic single thyroid nodule E05.2 Thyrotoxicosis with toxic multinodular goitre E05.3 Thyrotoxicosis from ectopic thyroid tissue E05.4 Thyrotoxicosis factitia E05.5 Thyroid crisis or storm E05.8 Other thyrotoxicosis E05.9 Thyrotoxicosis, unspecified

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)