TreeWAS – [Z80.8] Family history of malignant neoplasm of other organs or systems

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
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.799	0.201	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.784	0.216	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.732	0.268	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.725	0.275	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.721	0.279	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.700	0.300	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.673	0.327	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.642	0.358	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.637	0.363	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.629	0.371	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.623	0.377	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.621	0.379	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.611	0.389	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.595	0.405	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.590	0.409	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.584	0.416	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.581	0.419	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.539	0.461	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.535	0.465	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.530	0.470	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.498	0.502	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.497	0.502	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.496	0.504	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.494	0.506	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.491	0.508	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.454	0.546	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.453	0.547	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.449	0.551	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.435	0.564	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.421	0.579	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.421	0.579	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.413	0.587	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.408	0.592	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.383	0.617	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.380	0.620	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.357	0.642	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.349	0.650	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.349	0.651	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.332	0.667	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.330	0.670	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.328	0.672	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.325	0.674	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.315	0.685	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.306	0.693	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.302	0.697	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.284	0.716	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.274	0.726	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.271	0.729	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.267	0.733	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.243	0.756	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.242	0.758	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.238	0.762	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.238	0.762	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.228	0.771	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.216	0.783	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.206	0.793	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.204	0.796	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.194	0.806	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.192	0.807	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.183	0.817	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.182	0.818	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.174	0.825	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.173	0.827	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.171	0.829	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.167	0.833	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.156	0.844	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.147	0.853	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.146	0.854	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.146	0.854	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.140	0.860	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.134	0.866	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.125	0.875	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.121	0.879	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.115	0.885	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.113	0.887	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.111	0.889	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.100	0.900	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.096	0.904	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.081	0.918	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.078	0.922	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.057	0.943	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.055	0.945	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.053	0.947	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.052	0.948	0.000
rs3789867 lBF = `2.17607` Chr`9` : `117,875,688`	0.049	0.951	0.000
rs3789868 lBF = `2.21391` Chr`9` : `117,875,681`	0.049	0.951	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.048	0.951	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.042	0.958	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.036	0.964	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.036	0.964	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.033	0.967	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.030	0.970	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.976	0.024
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.023	0.977	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.019	0.981	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.019	0.981	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.017	0.983	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.017	0.983	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.017	0.983	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.014	0.985	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.014	0.986	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.014	0.986	0.001
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.014	0.986	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.011	0.988	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.011	0.989	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.010	0.990	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.009	0.991	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.009	0.991	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.009	0.991	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.009	0.991	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.008	0.992	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.008	0.992	0.000
rs7037266 lBF = `0.0637594` Chr`9` : `6,942,940`	0.000	0.992	0.008
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.007	0.992	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.992	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.007	0.993	0.000
rs7864204 lBF = `-0.0949985` Chr`9` : `71,229,179`	0.000	0.994	0.006
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.006	0.994	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.006	0.994	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.006	0.994	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.006	0.994	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.006	0.994	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.005	0.994	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.005	0.995	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.005	0.995	0.000
rs7023954 lBF = `12.2706` Chr`9` : `21,816,758`	0.000	0.995	0.005
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.005	0.995	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.005	0.995	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.005	0.995	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.004	0.996	0.001
rs7853970 lBF = `-0.0287689` Chr`9` : `86,715,566`	0.000	0.996	0.004
rs10815798 lBF = `-0.0859687` Chr`9` : `8,235,633`	0.004	0.996	0.000
rs11791652 lBF = `-0.0956194` Chr`9` : `91,602,796`	0.000	0.996	0.004
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.996	0.004
rs7043095 lBF = `-0.0974076` Chr`9` : `91,604,005`	0.000	0.996	0.004
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.004	0.996	0.000
rs944961 lBF = `0.153842` Chr`9` : `122,572,896`	0.004	0.996	0.000
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.001	0.996	0.003
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.000	0.997	0.003
rs7856367 lBF = `-0.0448927` Chr`9` : `124,942,544`	0.000	0.997	0.003
rs12003180 lBF = `2.87978` Chr`9` : `15,283,097`	0.000	0.997	0.003
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.003	0.997	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.003	0.997	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.003	0.997	0.000
rs2157719 lBF = `171.627` Chr`9` : `22,033,366`	0.000	0.997	0.003
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.003	0.997	0.000
rs471364 lBF = `12.2964` Chr`9` : `15,289,578`	0.000	0.997	0.003
rs1929494 lBF = `-0.0848632` Chr`9` : `104,236,774`	0.003	0.997	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.002	0.997	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.002	0.998	0.000
rs16934284 lBF = `-0.0651474` Chr`9` : `119,839,328`	0.002	0.998	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.998	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs10965153 lBF = `6.57407` Chr`9` : `21,834,210`	0.000	0.998	0.002
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.002	0.998	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.002	0.998	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.002	0.998	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.002	0.998	0.000
rs564398 lBF = `152.203` Chr`9` : `22,029,547`	0.000	0.998	0.002
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.002	0.998	0.000
rs4258076 lBF = `-0.079586` Chr`9` : `19,664,081`	0.000	0.998	0.002
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.002	0.998	0.000
rs1414253 lBF = `9.4812` Chr`9` : `21,755,630`	0.000	0.998	0.002
rs4743820 lBF = `0.00585076` Chr`9` : `93,928,416`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs10429475 lBF = `-0.0905281` Chr`9` : `121,125,746`	0.002	0.998	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.002	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs143639284 lBF = `0.00187276` Chr`9` : `5,140,958`	0.002	0.998	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.002	0.998	0.000
rs1412829 lBF = `154.353` Chr`9` : `22,043,926`	0.000	0.998	0.002
rs10757269 lBF = `323.969` Chr`9` : `22,072,264`	0.002	0.998	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.001	0.998	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.001	0.998	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.998	0.001
rs2506125 lBF = `2.46509` Chr`9` : `84,293,453`	0.000	0.998	0.002
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.001	0.998	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.001	0.998	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.001	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.001	0.999	0.000
rs10965235 lBF = `-0.00159282` Chr`9` : `22,115,105`	0.000	0.999	0.001
rs3025343 lBF = `5.75082` Chr`9` : `136,478,355`	0.000	0.999	0.001
rs739447 lBF = `6.23807` Chr`9` : `136,477,511`	0.000	0.999	0.001
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.001	0.999	0.000
rs4977756 lBF = `180.502` Chr`9` : `22,068,652`	0.000	0.999	0.001
rs113864525 lBF = `5.65687` Chr`9` : `136,473,053`	0.000	0.999	0.001
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.001	0.999	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.000	0.999	0.001
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	0.999	0.001
rs7020651 lBF = `-0.060618` Chr`9` : `22,972,837`	0.000	0.999	0.001
rs3904778 lBF = `-0.0629115` Chr`9` : `16,681,993`	0.001	0.999	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.001	0.999	0.000
rs7023329 lBF = `10.5956` Chr`9` : `21,816,528`	0.001	0.999	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.001	0.999	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.001	0.999	0.000
rs2245641 lBF = `-0.0206232` Chr`9` : `15,309,928`	0.001	0.999	0.000
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs10989661 lBF = `-0.0175431` Chr`9` : `104,622,868`	0.000	0.999	0.001
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.001	0.999	0.000
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rs17425819 lBF = `15.7716` Chr`9` : `5,114,773`	0.000	1.000	0.000
rs7028759 lBF = `7.73393` Chr`9` : `100,677,883`	0.000	1.000	0.000
rs3025383 lBF = `0.664109` Chr`9` : `136,502,369`	0.000	1.000	0.000
rs17461620 lBF = `0.49764` Chr`9` : `88,963,008`	0.000	1.000	0.000
rs13288553 lBF = `0.122179` Chr`9` : `86,741,461`	0.000	1.000	0.000
rs7029145 lBF = `-0.00263039` Chr`9` : `27,882,653`	0.000	1.000	0.000
rs824248 lBF = `-0.00866318` Chr`9` : `28,772,700`	0.000	1.000	0.000
rs10979182 lBF = `-0.00918733` Chr`9` : `110,817,020`	0.000	1.000	0.000
rs75824829 lBF = `-0.0146663` Chr`9` : `138,268,602`	0.000	1.000	0.000
rs10818593 lBF = `-0.0430107` Chr`9` : `124,560,853`	0.000	1.000	0.000
rs717423 lBF = `-0.104788` Chr`9` : `3,844,061`	0.000	1.000	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.000	1.000	0.000
rs67199640 lBF = `6.01397` Chr`9` : `84,306,876`	0.000	1.000	0.000
rs60589809 lBF = `0.550744` Chr`9` : `92,937,726`	0.000	1.000	0.000
rs3095748 lBF = `0.206965` Chr`9` : `90,209,137`	0.000	1.000	0.000
rs12342373 lBF = `0.0855483` Chr`9` : `129,402,567`	0.000	1.000	0.000
rs3818638 lBF = `0.0405775` Chr`9` : `124,906,723`	0.000	1.000	0.000
rs118043898 lBF = `0.0258933` Chr`9` : `24,431,792`	0.000	1.000	0.000
rs10988449 lBF = `0.00172677` Chr`9` : `132,370,360`	0.000	1.000	0.000
rs12350534 lBF = `-0.0110918` Chr`9` : `89,558,064`	0.000	1.000	0.000
rs11103429 lBF = `-0.0322924` Chr`9` : `137,506,578`	0.000	1.000	0.000
rs10810865 lBF = `-0.0448681` Chr`9` : `17,895,105`	0.000	1.000	0.000
rs7866070 lBF = `-0.0667158` Chr`9` : `132,444,099`	0.000	1.000	0.000
rs10117734 lBF = `-0.0734668` Chr`9` : `4,404,786`	0.000	1.000	0.000
rs2095044 lBF = `42.5068` Chr`9` : `6,192,796`	0.000	1.000	0.000
rs3824433 lBF = `15.607` Chr`9` : `5,113,577`	0.000	1.000	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.000	1.000	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.000	1.000	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.000	1.000	0.000
rs10815381 lBF = `0.338114` Chr`9` : `6,226,289`	0.000	1.000	0.000
rs1575972 lBF = `0.147061` Chr`9` : `22,301,092`	0.000	1.000	0.000
rs1468758 lBF = `0.0109589` Chr`9` : `113,807,082`	0.000	1.000	0.000
rs10901212 lBF = `-0.0337652` Chr`9` : `135,647,021`	0.000	1.000	0.000
rs10758161 lBF = `-0.0411922` Chr`9` : `32,755,028`	0.000	1.000	0.000
rs7867155 lBF = `-0.0449526` Chr`9` : `98,827,814`	0.000	1.000	0.000
rs11141915 lBF = `-0.0525759` Chr`9` : `90,235,794`	0.000	1.000	0.000
rs2820914 lBF = `-0.0559393` Chr`9` : `7,195,408`	0.000	1.000	0.000
rs10987149 lBF = `-0.098129` Chr`9` : `128,857,851`	0.000	1.000	0.000
rs523096 lBF = `126.227` Chr`9` : `22,019,129`	0.000	1.000	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.000	1.000	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.000	1.000	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	0.000	1.000	0.000
rs9409154 lBF = `2.40589` Chr`9` : `118,202,716`	0.000	1.000	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.000	1.000	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	1.000	0.000
rs10760649 lBF = `-0.0501117` Chr`9` : `132,714,968`	0.000	1.000	0.000
rs2007126 lBF = `-0.0611801` Chr`9` : `132,684,007`	0.000	1.000	0.000
rs573687 lBF = `96.1061` Chr`9` : `22,011,642`	0.000	1.000	0.000
rs2153271 lBF = `19.067` Chr`9` : `16,864,521`	0.000	1.000	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.000	1.000	0.000
rs79987207 lBF = `5.41608` Chr`9` : `100,963,977`	0.000	1.000	0.000
rs11790131 lBF = `3.61426` Chr`9` : `19,469,846`	0.000	1.000	0.000
rs13292136 lBF = `0.235448` Chr`9` : `81,952,128`	0.000	1.000	0.000
rs62544595 lBF = `0.1588` Chr`9` : `27,135,718`	0.000	1.000	0.000
rs2210430 lBF = `0.0966713` Chr`9` : `25,501,297`	0.000	1.000	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.000	1.000	0.000
rs4979078 lBF = `-0.0336226` Chr`9` : `114,823,121`	0.000	1.000	0.000
rs113399772 lBF = `-0.037344` Chr`9` : `10,881,231`	0.000	1.000	0.000
rs12352894 lBF = `-0.0786911` Chr`9` : `38,197,384`	0.000	1.000	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.000	1.000	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.000	1.000	0.000
rs60244812 lBF = `0.477535` Chr`9` : `7,267,614`	0.000	1.000	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.000	1.000	0.000
rs2006996 lBF = `0.374558` Chr`9` : `117,592,638`	0.000	1.000	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.000	1.000	0.000
rs13295552 lBF = `0.233886` Chr`9` : `84,522,749`	0.000	1.000	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	1.000	0.000
rs3758354 lBF = `0.035668` Chr`9` : `75,764,565`	0.000	1.000	0.000
rs117347249 lBF = `0.0164813` Chr`9` : `81,368,654`	0.000	1.000	0.000
rs17481720 lBF = `0.0076358` Chr`9` : `131,889,294`	0.000	1.000	0.000
rs12554999 lBF = `0.00638703` Chr`9` : `82,042,491`	0.000	1.000	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	1.000	0.000
rs10958998 lBF = `-0.0155727` Chr`9` : `10,275,798`	0.000	1.000	0.000
rs9969783 lBF = `-0.067863` Chr`9` : `4,888,441`	0.000	1.000	0.000
rs9969804 lBF = `-0.081137` Chr`9` : `95,429,120`	0.000	1.000	0.000
rs11998763 lBF = `-0.0841169` Chr`9` : `1,787,687`	0.000	1.000	0.000
rs2839874 lBF = `-0.0886796` Chr`9` : `116,890,163`	0.000	1.000	0.000
rs7849782 lBF = `-0.105674` Chr`9` : `104,427,264`	0.000	1.000	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.000	1.000	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.000	1.000	0.000
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.000	1.000	0.000
rs291272 lBF = `0.0890106` Chr`9` : `10,043,014`	0.000	1.000	0.000
rs817300 lBF = `0.0661919` Chr`9` : `98,380,222`	0.000	1.000	0.000
rs12555078 lBF = `0.0495429` Chr`9` : `76,157,700`	0.000	1.000	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.000	1.000	0.000
rs8190569 lBF = `0.0301256` Chr`9` : `98,998,061`	0.000	1.000	0.000
rs10993160 lBF = `-0.0135773` Chr`9` : `97,068,926`	0.000	1.000	0.000
rs140348140 lBF = `-0.0260903` Chr`9` : `5,877,295`	0.000	1.000	0.000
rs10973956 lBF = `-0.0712329` Chr`9` : `38,645,055`	0.000	1.000	0.000
rs7043114 lBF = `-0.0800226` Chr`9` : `95,387,983`	0.000	1.000	0.000
rs2383024 lBF = `-0.101652` Chr`9` : `17,487,945`	0.000	1.000	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.000	1.000	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.000	1.000	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.000	1.000	0.000
rs1757945 lBF = `6.0069` Chr`9` : `81,339,569`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.6669

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3443

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9579

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9368

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9353

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9349

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9242

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9155

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9048

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9047

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9039

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9038

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9036

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8949

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8902

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8592

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8528

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8478

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8417

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8380

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8322

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8179

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8121

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8115

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8096

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8078

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7994

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7848

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7796

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7707

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7563

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7516

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7501

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7472

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7421

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7247

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7139

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7110

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7002

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6867

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6749

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6555

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6331

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6094

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6087

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6015

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6008

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5626

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5526

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5415

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5266

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5061

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4894

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4686

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4565

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4514

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4459

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4116

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3926

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3913

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3705

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3682

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3504

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3448

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3184

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3163

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2857

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2842

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2811

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2767

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2517

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2317

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2033

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1945

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1926

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1847

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1801

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1747

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1745

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1374

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1273

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1244

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1205

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1164

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1149

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1141

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1101

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1077

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1014

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0998

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0967

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0941

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0858

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0856

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0824

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0784

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0664

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0659

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0643

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0579

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0512

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.

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`)