TreeWAS – [N80.6] Endometriosis in cutaneous scar

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
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.709	0.291	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.664	0.335	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.643	0.357	0.000
rs7852296 lBF = `1.12641` Chr`9` : `126,352,218`	0.607	0.393	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.605	0.395	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.596	0.404	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.580	0.420	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.557	0.442	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	0.443	0.557
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.489	0.510	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.466	0.534	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.466	0.534	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.464	0.536	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.461	0.538	0.000
rs1537377 lBF = `0.536796` Chr`9` : `22,169,700`	0.403	0.597	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.391	0.609	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.384	0.616	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.366	0.634	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.350	0.650	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.334	0.665	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.328	0.672	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.314	0.685	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.306	0.693	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.291	0.709	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.284	0.716	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.255	0.745	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.235	0.765	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.235	0.765	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.224	0.775	0.001
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.224	0.776	0.000
rs1075654 lBF = `23.1554` Chr`9` : `136,928,276`	0.175	0.825	0.000
rs944961 lBF = `0.153842` Chr`9` : `122,572,896`	0.175	0.825	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.167	0.833	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.152	0.847	0.001
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.137	0.863	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.135	0.865	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.130	0.869	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.123	0.876	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.118	0.881	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.117	0.883	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.105	0.895	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.100	0.900	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.085	0.913	0.002
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.084	0.916	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.081	0.918	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.081	0.918	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.072	0.927	0.000
rs10819643 lBF = `-0.0143786` Chr`9` : `102,037,970`	0.000	0.931	0.069
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.069	0.931	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.063	0.936	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.061	0.939	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.058	0.941	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.055	0.945	0.000
rs861189 lBF = `-0.0358512` Chr`9` : `22,185,252`	0.050	0.950	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.043	0.957	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.040	0.960	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.035	0.965	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.034	0.966	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.033	0.967	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.030	0.970	0.000
rs10979182 lBF = `-0.00918733` Chr`9` : `110,817,020`	0.000	0.970	0.030
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.029	0.970	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.029	0.971	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.028	0.972	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.025	0.975	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.023	0.977	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.022	0.978	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.020	0.978	0.002
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	0.979	0.021
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.020	0.980	0.000
rs10961577 lBF = `0.0718727` Chr`9` : `14,562,314`	0.000	0.982	0.018
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.018	0.982	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.016	0.983	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.016	0.984	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.016	0.984	0.000
rs13294589 lBF = `0.255966` Chr`9` : `26,694,888`	0.016	0.984	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.015	0.985	0.000
rs767770 lBF = `-0.0116695` Chr`9` : `124,098,535`	0.000	0.985	0.015
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.001	0.986	0.013
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.013	0.987	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.012	0.987	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.012	0.988	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.010	0.990	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.009	0.990	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.009	0.991	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.009	0.991	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.009	0.991	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.008	0.991	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.008	0.991	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.008	0.992	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.007	0.993	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.007	0.993	0.000
rs16924016 lBF = `0.0976692` Chr`9` : `100,511,331`	0.007	0.993	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.006	0.993	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.006	0.993	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.006	0.994	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.006	0.994	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.006	0.994	0.000
rs7869190 lBF = `0.0175485` Chr`9` : `5,551,945`	0.000	0.994	0.006
rs79156074 lBF = `0.076147` Chr`9` : `16,000,235`	0.000	0.994	0.006
rs7027071 lBF = `-0.0325208` Chr`9` : `126,305,042`	0.006	0.994	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.006	0.994	0.000
rs817300 lBF = `0.0661919` Chr`9` : `98,380,222`	0.005	0.994	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.005	0.994	0.000
rs3731257 lBF = `90.8856` Chr`9` : `21,966,221`	0.000	0.995	0.005
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.005	0.995	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.005	0.995	0.000
rs10980921 lBF = `-0.0418995` Chr`9` : `114,279,912`	0.005	0.995	0.000
rs10123671 lBF = `-0.085821` Chr`9` : `29,161,218`	0.000	0.995	0.005
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.004	0.995	0.000
rs4877691 lBF = `-0.0770265` Chr`9` : `84,982,398`	0.004	0.996	0.000
rs10818854 lBF = `0.00070567` Chr`9` : `126,446,778`	0.004	0.996	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.004	0.996	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.004	0.996	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.003	0.996	0.001
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.004	0.996	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.004	0.996	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.004	0.996	0.000
rs13295552 lBF = `0.233886` Chr`9` : `84,522,749`	0.004	0.996	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.003	0.996	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.003	0.997	0.000
rs523340 lBF = `-0.046508` Chr`9` : `111,854,246`	0.003	0.997	0.000
rs144649413 lBF = `-0.0365211` Chr`9` : `106,369,944`	0.003	0.997	0.000
rs10990032 lBF = `-0.0105511` Chr`9` : `105,116,201`	0.000	0.997	0.003
rs12003072 lBF = `0.013909` Chr`9` : `86,771,161`	0.000	0.997	0.003
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.001	0.997	0.002
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.003	0.997	0.000
rs7030480 lBF = `-0.0527074` Chr`9` : `71,655,595`	0.003	0.997	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.003	0.997	0.000
rs7849270 lBF = `0.180582` Chr`9` : `131,874,641`	0.000	0.997	0.003
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.003	0.997	0.000
rs12555078 lBF = `0.0495429` Chr`9` : `76,157,700`	0.003	0.997	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.002	0.997	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.002	0.997	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.002	0.997	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.002	0.997	0.001
rs1575972 lBF = `0.147061` Chr`9` : `22,301,092`	0.000	0.997	0.002
rs142965926 lBF = `0.0469266` Chr`9` : `136,618,128`	0.002	0.997	0.000
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.002	0.998	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.001	0.998	0.002
rs117000167 lBF = `0.00350061` Chr`9` : `124,678,821`	0.002	0.998	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.000	0.998	0.002
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.002	0.998	0.000
rs540885 lBF = `12.7552` Chr`9` : `15,294,596`	0.000	0.998	0.002
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.002	0.998	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.002	0.998	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.000	0.998	0.002
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.002	0.998	0.000
rs7042370 lBF = `-0.0990923` Chr`9` : `12,785,073`	0.002	0.998	0.000
rs36206051 lBF = `0.102509` Chr`9` : `90,207,626`	0.000	0.998	0.002
rs7873730 lBF = `-0.0353081` Chr`9` : `114,303,679`	0.002	0.998	0.000
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.001	0.998	0.000
rs17266958 lBF = `-0.0318511` Chr`9` : `83,265,249`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.001	0.998	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.001	0.998	0.000
rs7029201 lBF = `-0.0733152` Chr`9` : `23,358,081`	0.000	0.998	0.001
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.001	0.998	0.000
rs10908907 lBF = `-0.0622742` Chr`9` : `92,249,584`	0.000	0.998	0.001
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.001	0.998	0.000
rs1333051 lBF = `15.4246` Chr`9` : `22,136,489`	0.000	0.998	0.001
rs10991437 lBF = `-0.0258699` Chr`9` : `107,735,920`	0.000	0.998	0.001
rs643531 lBF = `11.8826` Chr`9` : `15,296,034`	0.001	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.998	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.001	0.999	0.000
rs12553324 lBF = `-0.0713288` Chr`9` : `23,347,865`	0.000	0.999	0.001
rs3731239 lBF = `69.4018` Chr`9` : `21,974,218`	0.001	0.999	0.000
rs4837752 lBF = `0.307963` Chr`9` : `123,056,637`	0.000	0.999	0.001
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.000	0.999	0.001
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.001	0.999	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.001	0.999	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.999	0.000
rs436582 lBF = `-0.024077` Chr`9` : `118,956,668`	0.001	0.999	0.000
rs41313321 lBF = `-0.0398379` Chr`9` : `131,051,316`	0.001	0.999	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.001	0.999	0.001
rs12346945 lBF = `0.0003603` Chr`9` : `98,844,059`	0.001	0.999	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.001	0.999	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.001	0.999	0.000
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.001	0.999	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.001	0.999	0.000
rs13294439 lBF = `-0.0740927` Chr`9` : `23,358,875`	0.000	0.999	0.001
rs16933006 lBF = `-0.0394332` Chr`9` : `15,335,914`	0.000	0.999	0.001
rs7020996 lBF = `17.892` Chr`9` : `22,129,579`	0.000	0.999	0.001
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.001	0.999	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.001	0.999	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.001	0.999	0.000
rs4841895 lBF = `-0.0603263` Chr`9` : `137,424,042`	0.000	0.999	0.001
rs888219 lBF = `-0.0944461` Chr`9` : `128,929,023`	0.000	0.999	0.001
rs11144688 lBF = `0.00352942` Chr`9` : `78,542,286`	0.000	0.999	0.001
rs2075064 lBF = `0.176135` Chr`9` : `126,783,847`	0.000	0.999	0.001
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.001	0.999	0.000
rs114241027 lBF = `0.00030213` Chr`9` : `12,802,823`	0.001	0.999	0.000
rs76695314 lBF = `0.00021739` Chr`9` : `30,912,925`	0.001	0.999	0.000
rs17785420 lBF = `0.00018714` Chr`9` : `30,920,638`	0.001	0.999	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.001	0.999	0.000
rs148861184 lBF = `0.00012183` Chr`9` : `30,975,637`	0.001	0.999	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.001	0.999	0.000
rs186132788 lBF = `0.00025167` Chr`9` : `79,082,712`	0.000	0.999	0.001
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rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.000	1.000	0.000
rs914605 lBF = `14.0956` Chr`9` : `20,742,963`	0.000	1.000	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	1.000	0.000
rs649057 lBF = `0.130024` Chr`9` : `102,234,323`	0.000	1.000	0.000
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.000	1.000	0.000
rs6476030 lBF = `0.00137645` Chr`9` : `289,061`	0.000	1.000	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.000	1.000	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.000	1.000	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.000	1.000	0.000
rs10983320 lBF = `5.13841` Chr`9` : `119,483,689`	0.000	1.000	0.000
rs117347249 lBF = `0.0164813` Chr`9` : `81,368,654`	0.000	1.000	0.000
rs10813766 lBF = `-0.0519954` Chr`9` : `331,490`	0.000	1.000	0.000
rs1536482 lBF = `-0.0882092` Chr`9` : `137,440,528`	0.000	1.000	0.000
rs3132306 lBF = `-0.0890675` Chr`9` : `137,440,212`	0.000	1.000	0.000
rs10781380 lBF = `-0.10469` Chr`9` : `79,408,144`	0.000	1.000	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.000	1.000	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.000	1.000	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.000	1.000	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.000	1.000	0.000
rs694796 lBF = `6.80057` Chr`9` : `6,132,621`	0.000	1.000	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	0.000	1.000	0.000
rs17637172 lBF = `0.0235876` Chr`9` : `122,223,958`	0.000	1.000	0.000
rs4742269 lBF = `-0.00745633` Chr`9` : `6,849,317`	0.000	1.000	0.000
rs10965890 lBF = `-0.0240333` Chr`9` : `23,516,288`	0.000	1.000	0.000
rs72700966 lBF = `-0.0322007` Chr`9` : `10,505,224`	0.000	1.000	0.000
rs10511779 lBF = `-0.0394314` Chr`9` : `26,725,702`	0.000	1.000	0.000
rs28447319 lBF = `-0.0538554` Chr`9` : `33,218,922`	0.000	1.000	0.000
rs10759102 lBF = `-0.101463` Chr`9` : `9,910,123`	0.000	1.000	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.000	1.000	0.000
rs343476 lBF = `9.40989` Chr`9` : `6,072,597`	0.000	1.000	0.000
rs343496 lBF = `9.22521` Chr`9` : `6,068,077`	0.000	1.000	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.000	1.000	0.000
rs340921 lBF = `8.26787` Chr`9` : `6,090,160`	0.000	1.000	0.000
rs4977754 lBF = `7.24733` Chr`9` : `22,062,012`	0.000	1.000	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.000	1.000	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.000	1.000	0.000
rs11554257 lBF = `1.93799` Chr`9` : `117,605,070`	0.000	1.000	0.000
rs12379034 lBF = `0.109707` Chr`9` : `123,162,666`	0.000	1.000	0.000
rs2210430 lBF = `0.0966713` Chr`9` : `25,501,297`	0.000	1.000	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	1.000	0.000
rs961831 lBF = `0.0355171` Chr`9` : `22,362,104`	0.000	1.000	0.000
rs514024 lBF = `0.0337033` Chr`9` : `130,504,070`	0.000	1.000	0.000
rs294845 lBF = `0.0295763` Chr`9` : `10,139,580`	0.000	1.000	0.000
rs7020651 lBF = `-0.060618` Chr`9` : `22,972,837`	0.000	1.000	0.000
rs2007126 lBF = `-0.0611801` Chr`9` : `132,684,007`	0.000	1.000	0.000
rs10973956 lBF = `-0.0712329` Chr`9` : `38,645,055`	0.000	1.000	0.000
rs2769967 lBF = `-0.083725` Chr`9` : `81,889,358`	0.000	1.000	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.000	1.000	0.000
rs471364 lBF = `12.2964` Chr`9` : `15,289,578`	0.000	1.000	0.000
rs383182 lBF = `4.20337` Chr`9` : `76,115,818`	0.000	1.000	0.000
rs12003180 lBF = `2.87978` Chr`9` : `15,283,097`	0.000	1.000	0.000
rs13300218 lBF = `1.03505` Chr`9` : `139,399,641`	0.000	1.000	0.000
rs60589809 lBF = `0.550744` Chr`9` : `92,937,726`	0.000	1.000	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	1.000	0.000
rs62544595 lBF = `0.1588` Chr`9` : `27,135,718`	0.000	1.000	0.000
rs77362122 lBF = `0.0738843` Chr`9` : `87,380,673`	0.000	1.000	0.000
rs12375901 lBF = `0.0451008` Chr`9` : `23,035,987`	0.000	1.000	0.000
rs148359873 lBF = `0.00976771` Chr`9` : `31,450,666`	0.000	1.000	0.000
rs16929097 lBF = `-0.0324599` Chr`9` : `12,521,826`	0.000	1.000	0.000
rs10982990 lBF = `-0.0404249` Chr`9` : `118,658,716`	0.000	1.000	0.000
rs6479527 lBF = `-0.0506203` Chr`9` : `96,858,411`	0.000	1.000	0.000
rs10961780 lBF = `-0.0541988` Chr`9` : `14,898,161`	0.000	1.000	0.000
rs11145465 lBF = `-0.0591354` Chr`9` : `71,766,593`	0.000	1.000	0.000
rs4401971 lBF = `-0.0818158` Chr`9` : `11,890,045`	0.000	1.000	0.000
rs294856 lBF = `-0.0887236` Chr`9` : `10,192,290`	0.000	1.000	0.000
rs2151280 lBF = `148.877` Chr`9` : `22,034,719`	0.000	1.000	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.000	1.000	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.000	1.000	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.000	1.000	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.000	1.000	0.000
rs8190560 lBF = `0.444887` Chr`9` : `99,002,185`	0.000	1.000	0.000
rs77922938 lBF = `0.314697` Chr`9` : `111,060,196`	0.000	1.000	0.000
rs13292136 lBF = `0.235448` Chr`9` : `81,952,128`	0.000	1.000	0.000
rs10988217 lBF = `0.101471` Chr`9` : `131,888,116`	0.000	1.000	0.000
rs12380424 lBF = `0.099035` Chr`9` : `131,403,221`	0.000	1.000	0.000
rs17774966 lBF = `0.0438255` Chr`9` : `25,551,357`	0.000	1.000	0.000
rs118106262 lBF = `0.0423095` Chr`9` : `8,658,954`	0.000	1.000	0.000
rs16925187 lBF = `0.00717` Chr`9` : `7,043,455`	0.000	1.000	0.000
rs16924631 lBF = `0.00615846` Chr`9` : `6,486,308`	0.000	1.000	0.000
rs7851437 lBF = `-0.00994799` Chr`9` : `28,395,332`	0.000	1.000	0.000
rs320209 lBF = `-0.0483587` Chr`9` : `104,944,755`	0.000	1.000	0.000
rs16934284 lBF = `-0.0651474` Chr`9` : `119,839,328`	0.000	1.000	0.000
rs6479272 lBF = `-0.0980827` Chr`9` : `99,097,527`	0.000	1.000	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.000	1.000	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.000	1.000	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.000	1.000	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.000	1.000	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.000	1.000	0.000
rs3842979 lBF = `3.15581` Chr`9` : `28,359,979`	0.000	1.000	0.000
rs755383 lBF = `0.812628` Chr`9` : `863,635`	0.000	1.000	0.000
rs17425572 lBF = `0.62179` Chr`9` : `88,006,338`	0.000	1.000	0.000
rs10120372 lBF = `0.237676` Chr`9` : `108,440,542`	0.000	1.000	0.000
rs10814247 lBF = `0.0487544` Chr`9` : `35,507,290`	0.000	1.000	0.000
rs12006166 lBF = `0.0273655` Chr`9` : `118,424,987`	0.000	1.000	0.000
rs3802457 lBF = `0.0160534` Chr`9` : `97,741,336`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.7169

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7132

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7120

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7057

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7037

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6978

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6941

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6893

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6668

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6631

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6489

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6363

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5811

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5811

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5644

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5499

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5384

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5347

Cluster X0027

log Bayes Factor = 25.8087

contains 2 variants

0.4701

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4508

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4203

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4080

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2718

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2381

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2008

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1996

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1892

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1585

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1536

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1521

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1370

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1366

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1354

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0985

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0949

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0944

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0882

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0761

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0724

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0588

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0548

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`)