TreeWAS – [D35] Benign neoplasm of other and unspecified endocrine glands

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
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.908	0.092	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.906	0.094	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.831	0.169	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.825	0.175	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.820	0.180	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.789	0.211	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.783	0.217	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.773	0.227	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.761	0.239	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.714	0.286	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.710	0.290	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.695	0.305	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.664	0.336	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.654	0.346	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.651	0.349	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.646	0.354	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.629	0.371	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.618	0.382	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.611	0.389	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.565	0.434	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.540	0.460	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.496	0.504	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.481	0.519	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.479	0.521	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.477	0.522	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.477	0.523	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.466	0.534	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.465	0.534	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.434	0.566	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.424	0.576	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.418	0.582	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.413	0.587	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.412	0.588	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.391	0.609	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.389	0.611	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.387	0.613	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.374	0.626	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.356	0.644	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.333	0.667	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.328	0.672	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.315	0.684	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.314	0.686	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.295	0.705	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.279	0.721	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.272	0.727	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.269	0.731	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.256	0.744	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.234	0.766	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.195	0.805	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.187	0.813	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.166	0.834	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.163	0.836	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.150	0.850	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.140	0.860	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.139	0.861	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.137	0.863	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.134	0.866	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.131	0.869	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.129	0.871	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.123	0.876	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.099	0.901	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.098	0.902	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.094	0.906	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.094	0.906	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.088	0.912	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.074	0.926	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.066	0.934	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.064	0.936	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.060	0.940	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.053	0.946	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.053	0.947	0.001
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.053	0.947	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.052	0.948	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.048	0.951	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.048	0.952	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.046	0.954	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.041	0.958	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.040	0.960	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.039	0.960	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.039	0.960	0.001
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.034	0.963	0.003
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.036	0.964	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.035	0.964	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.035	0.965	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.033	0.967	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.031	0.969	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.024	0.970	0.006
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.027	0.972	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.026	0.974	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.025	0.975	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.021	0.979	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.020	0.979	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.017	0.983	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.017	0.983	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.016	0.984	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.015	0.984	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.015	0.985	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.015	0.985	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.015	0.985	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.013	0.987	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	0.988	0.012
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.010	0.990	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.010	0.990	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.990	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.008	0.992	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.008	0.992	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.008	0.992	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.007	0.992	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.007	0.993	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.007	0.993	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.007	0.993	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.001	0.993	0.006
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.006	0.994	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.006	0.994	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.006	0.994	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.006	0.994	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.005	0.995	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.005	0.995	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.005	0.995	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.005	0.995	0.000
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.000	0.995	0.005
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.004	0.996	0.001
rs6496074 lBF = `-0.123248` Chr`15` : `95,511,837`	0.004	0.996	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.004	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.996	0.004
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.004	0.996	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.004	0.996	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.996	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.004	0.996	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.003	0.997	0.000
rs933769 lBF = `-0.0799509` Chr`15` : `96,052,742`	0.003	0.997	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.003	0.997	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.002	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.000	0.998	0.002
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.002	0.998	0.000
rs12902137 lBF = `0.116481` Chr`15` : `24,924,663`	0.000	0.998	0.002
rs420017 lBF = `-0.0779226` Chr`15` : `89,617,081`	0.000	0.998	0.002
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.002	0.998	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.002	0.998	0.000
rs744910 lBF = `0.45769` Chr`15` : `67,446,785`	0.000	0.998	0.002
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.000	0.998	0.002
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.002	0.998	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	0.998	0.002
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.001	0.998	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.001	0.998	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.001	0.998	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	0.999	0.001
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.000	0.999	0.001
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.000	0.999	0.001
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	0.001	0.999	0.000
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.001	0.999	0.000
rs2404602 lBF = `0.25324` Chr`15` : `77,030,792`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs2412475 lBF = `0.0764129` Chr`15` : `40,334,576`	0.000	0.999	0.001
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.001	0.999	0.000
rs4533267 lBF = `0.0106736` Chr`15` : `100,786,271`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
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rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.000	1.000	0.000
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs950776 lBF = `0.199223` Chr`15` : `78,926,018`	0.000	1.000	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	1.000	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	1.000	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	1.000	0.000
rs1823874 lBF = `-0.0604683` Chr`15` : `100,357,435`	0.000	1.000	0.000
rs7177026 lBF = `-0.0870655` Chr`15` : `79,927,594`	0.000	1.000	0.000
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	1.000	0.000
rs17294280 lBF = `9.90458` Chr`15` : `67,468,285`	0.000	1.000	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs12915708 lBF = `-0.0366806` Chr`15` : `51,048,602`	0.000	1.000	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	1.000	0.000
rs4965593 lBF = `-0.0671532` Chr`15` : `100,758,385`	0.000	1.000	0.000
rs1439620 lBF = `-0.0717355` Chr`15` : `93,429,646`	0.000	1.000	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	1.000	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.000	1.000	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.000	1.000	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	1.000	0.000
rs8024939 lBF = `5.37334` Chr`15` : `79,049,237`	0.000	1.000	0.000
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	0.000	1.000	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	1.000	0.000
rs8037790 lBF = `0.0814415` Chr`15` : `92,542,831`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.000	1.000	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	1.000	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	1.000	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	1.000	0.000
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.000	1.000	0.000
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	1.000	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs11857380 lBF = `-0.057484` Chr`15` : `58,712,203`	0.000	1.000	0.000
rs448720 lBF = `-0.0685717` Chr`15` : `68,198,911`	0.000	1.000	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	1.000	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	1.000	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs11857532 lBF = `3.34895` Chr`15` : `78,968,268`	0.000	1.000	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	1.000	0.000
rs6496044 lBF = `0.396601` Chr`15` : `86,067,306`	0.000	1.000	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	1.000	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs7182874 lBF = `0.0441147` Chr`15` : `101,865,472`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	1.000	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.000	1.000	0.000
rs8027587 lBF = `-0.0443232` Chr`15` : `89,249,139`	0.000	1.000	0.000
rs12438945 lBF = `-0.0479188` Chr`15` : `55,226,570`	0.000	1.000	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.000	1.000	0.000
rs61996546 lBF = `-0.0681912` Chr`15` : `26,804,131`	0.000	1.000	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.000	1.000	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.000	1.000	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	1.000	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	1.000	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.000	1.000	0.000
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.000	1.000	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.000	1.000	0.000
rs67175876 lBF = `9.17872` Chr`15` : `78,928,399`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs17612678 lBF = `-0.0232809` Chr`15` : `93,815,129`	0.000	1.000	0.000
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	1.000	0.000
rs339969 lBF = `-0.0469999` Chr`15` : `60,883,281`	0.000	1.000	0.000
rs7182385 lBF = `-0.127416` Chr`15` : `85,435,076`	0.000	1.000	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.000	1.000	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	1.000	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.000	1.000	0.000
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	1.000	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	1.000	0.000
rs11855415 lBF = `0.257241` Chr`15` : `101,875,123`	0.000	1.000	0.000
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.9769

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1108

Cluster X0116

log Bayes Factor = 12.7289

contains 3 variants

0.0828

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9993

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9991

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9986

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9983

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9979

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9941

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9918

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9893

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9888

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9854

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9833

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9824

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9820

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9772

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9771

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9749

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9675

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9673

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9634

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9630

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9622

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9413

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9384

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9353

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9262

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9102

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9094

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8961

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8911

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8835

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8762

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8744

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8639

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8547

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8541

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8529

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8446

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8439

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8360

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8358

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8341

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8272

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8237

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8211

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8085

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7955

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7890

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7604

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7492

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7407

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7172

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7130

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7057

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7031

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6931

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6867

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6745

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6734

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6586

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6546

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6503

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6479

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6475

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6336

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6323

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6245

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5891

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5625

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.5619

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5539

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5536

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5393

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5258

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5204

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5130

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5109

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5040

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4931

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4910

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4767

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4752

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4689

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4470

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4466

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4439

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4357

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4341

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3983

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3855

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3842

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3631

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3625

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3464

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3199

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3152

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3141

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3061

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2893

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2784

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2657

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2290

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2252

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2245

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2203

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2177

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2165

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1986

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1887

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1808

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1763

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1706

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1688

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1597

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1401

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1400

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1359

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1332

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1304

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1161

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1136

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1054

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1042

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0968

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0895

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0882

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0882

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0880

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0851

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0837

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0757

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0737

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0732

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0713

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0675

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0666

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0665

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0661

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0608

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0563

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0559

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0549

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	D10-D36 Benign neoplasms
Nested terms	D35.0 Adrenal gland D35.1 Parathyroid gland D35.2 Pituitary gland D35.3 Craniopharyngeal duct D35.4 Pineal gland D35.5 Carotid body D35.6 Aortic body and other paraganglia D35.7 Other specified endocrine glands D35.8 Pluriglandular involvement D35.9 Endocrine gland, 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`)