TreeWAS – [D31.4] Ciliary body

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
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.513	0.486	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.513	0.487	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.509	0.491	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.505	0.494	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.505	0.495	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.502	0.498	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.499	0.500	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.496	0.504	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.476	0.524	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.473	0.526	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.473	0.527	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.466	0.534	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.465	0.535	0.000
rs192692653 lBF = `2.44667` Chr`14` : `52,384,486`	0.450	0.549	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.434	0.566	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.431	0.569	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.429	0.571	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.425	0.574	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.424	0.575	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.424	0.575	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.409	0.591	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.399	0.601	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.389	0.611	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.375	0.624	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.359	0.641	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.358	0.642	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.351	0.649	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.335	0.665	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.306	0.694	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.304	0.695	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.299	0.701	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.290	0.709	0.000
rs117911949 lBF = `0.377711` Chr`14` : `72,016,789`	0.286	0.714	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.285	0.714	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.283	0.717	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.278	0.722	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.254	0.746	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.227	0.773	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.222	0.778	0.000
rs80221072 lBF = `0.96065` Chr`14` : `33,795,591`	0.221	0.779	0.000
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.221	0.779	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.219	0.781	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.218	0.782	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.213	0.787	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.206	0.794	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.205	0.795	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.203	0.796	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.199	0.801	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.196	0.804	0.000
rs150511909 lBF = `0.288513` Chr`14` : `97,908,686`	0.173	0.827	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.165	0.835	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.162	0.837	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.157	0.843	0.001
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.150	0.850	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.144	0.856	0.000
rs144190017 lBF = `0.182292` Chr`14` : `25,893,032`	0.143	0.856	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.864	0.135
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.128	0.871	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.108	0.892	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.098	0.901	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.097	0.903	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.096	0.903	0.001
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.090	0.909	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.089	0.911	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.082	0.918	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.081	0.919	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.079	0.920	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.077	0.923	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.075	0.925	0.000
rs186152940 lBF = `0.126532` Chr`14` : `46,476,984`	0.074	0.926	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.067	0.933	0.000
rs182491339 lBF = `0.10278` Chr`14` : `66,049,929`	0.066	0.933	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.065	0.935	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.064	0.936	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.062	0.937	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.062	0.938	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.058	0.941	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.057	0.943	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.056	0.944	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.055	0.944	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.054	0.945	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.050	0.949	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.042	0.957	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.038	0.962	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.038	0.962	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.037	0.963	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.037	0.963	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.037	0.963	0.000
rs12587252 lBF = `0.5067` Chr`14` : `81,405,922`	0.035	0.964	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.034	0.966	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.032	0.968	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.032	0.968	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.032	0.968	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.029	0.971	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.028	0.972	0.000
rs183755958 lBF = `0.0427294` Chr`14` : `52,307,478`	0.025	0.975	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.022	0.978	0.000
rs76745467 lBF = `0.113511` Chr`14` : `69,426,389`	0.021	0.979	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.021	0.979	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.020	0.979	0.000
rs148071215 lBF = `0.123842` Chr`14` : `83,272,653`	0.019	0.981	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.018	0.981	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.018	0.982	0.000
rs186116546 lBF = `0.0301833` Chr`14` : `65,986,176`	0.017	0.982	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.016	0.983	0.000
rs78171731 lBF = `9.24022` Chr`14` : `30,189,605`	0.015	0.985	0.000
rs58262369 lBF = `0.0229117` Chr`14` : `64,693,912`	0.015	0.985	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.014	0.986	0.000
rs117672662 lBF = `0.032178` Chr`14` : `69,425,467`	0.014	0.986	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.014	0.986	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.013	0.987	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.013	0.987	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.012	0.987	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.011	0.989	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.009	0.990	0.001
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.009	0.990	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.009	0.990	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.009	0.991	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.009	0.991	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.009	0.991	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.009	0.991	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.008	0.992	0.000
rs11627967 lBF = `0.353752` Chr`14` : `33,769,912`	0.008	0.992	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.008	0.992	0.000
rs1955873 lBF = `0.0340051` Chr`14` : `26,042,994`	0.000	0.993	0.007
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.006	0.994	0.000
rs1998848 lBF = `0.0282524` Chr`14` : `21,492,229`	0.006	0.994	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.006	0.994	0.000
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.006	0.994	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.005	0.995	0.000
rs17175227 lBF = `0.0727778` Chr`14` : `70,502,050`	0.005	0.995	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.005	0.995	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.005	0.995	0.000
rs6573333 lBF = `0.106706` Chr`14` : `61,308,337`	0.000	0.995	0.004
rs6576086 lBF = `0.00570964` Chr`14` : `105,873,144`	0.000	0.995	0.004
rs11623713 lBF = `0.147314` Chr`14` : `99,240,316`	0.001	0.996	0.003
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.004	0.996	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.004	0.996	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.004	0.996	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.003	0.996	0.000
rs74731421 lBF = `0.938135` Chr`14` : `38,210,286`	0.003	0.996	0.000
rs12435940 lBF = `0.0218966` Chr`14` : `26,021,985`	0.000	0.996	0.003
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.003	0.997	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.003	0.997	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.003	0.997	0.000
rs12898084 lBF = `1.78487` Chr`14` : `56,253,404`	0.003	0.997	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.003	0.997	0.000
rs76513344 lBF = `0.00295873` Chr`14` : `63,047,683`	0.002	0.997	0.000
rs185449237 lBF = `0.00377806` Chr`14` : `47,199,333`	0.002	0.997	0.000
rs8016620 lBF = `0.00254963` Chr`14` : `97,393,685`	0.002	0.997	0.000
rs148114321 lBF = `0.639906` Chr`14` : `36,213,442`	0.002	0.997	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.002	0.997	0.000
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.002	0.998	0.000
rs4900022 lBF = `-0.00005395` Chr`14` : `90,615,513`	0.002	0.998	0.000
rs117167774 lBF = `-0.00757823` Chr`14` : `48,823,885`	0.002	0.998	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.002	0.998	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.002	0.998	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.001	0.998	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.001	0.998	0.000
rs57602116 lBF = `0.0008998` Chr`14` : `95,283,220`	0.001	0.999	0.000
rs10162376 lBF = `0.00098877` Chr`14` : `81,030,493`	0.001	0.999	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.001	0.999	0.000
rs191926782 lBF = `0.00081724` Chr`14` : `85,956,171`	0.001	0.999	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.001	0.999	0.000
rs115169421 lBF = `0.00090948` Chr`14` : `96,093,847`	0.001	0.999	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.001	0.999	0.000
rs3783782 lBF = `0.0923372` Chr`14` : `61,940,675`	0.001	0.999	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.001	0.999	0.000
rs17807815 lBF = `0.567103` Chr`14` : `92,556,055`	0.001	0.999	0.000
rs146750542 lBF = `0.00058545` Chr`14` : `32,500,171`	0.001	0.999	0.000
rs4904670 lBF = `0.00098541` Chr`14` : `90,770,210`	0.000	0.999	0.001
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.001	0.999	0.000
rs28489712 lBF = `0.00036831` Chr`14` : `55,483,786`	0.001	0.999	0.000
rs2143963 lBF = `0.00021584` Chr`14` : `54,723,923`	0.001	0.999	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.001	0.999	0.000
rs139134142 lBF = `0.00018876` Chr`14` : `92,069,489`	0.001	0.999	0.000
rs1741439 lBF = `0.00003122` Chr`14` : `92,702,596`	0.001	0.999	0.000
rs7141210 lBF = `0` Chr`14` : `101,182,470`	0.001	0.999	0.001
rs55643152 lBF = `0` Chr`14` : `50,486,791`	0.001	0.999	0.001
rs192253363 lBF = `0` Chr`14` : `85,973,400`	0.001	0.999	0.001
rs74492808 lBF = `0` Chr`14` : `28,591,883`	0.001	0.999	0.001
rs10139550 lBF = `0` Chr`14` : `100,145,710`	0.001	0.999	0.001
rs7147503 lBF = `0` Chr`14` : `101,539,384`	0.001	0.999	0.001
rs192522312 lBF = `0` Chr`14` : `47,082,471`	0.001	0.999	0.001
rs8012283 lBF = `0` Chr`14` : `51,234,160`	0.001	0.999	0.001
rs181902743 lBF = `0` Chr`14` : `81,130,189`	0.001	0.999	0.001
rs4905994 lBF = `0` Chr`14` : `101,154,072`	0.001	0.999	0.001
rs79503702 lBF = `0` Chr`14` : `50,206,170`	0.001	0.999	0.001
rs140660435 lBF = `0` Chr`14` : `84,292,263`	0.001	0.999	0.001
rs190971703 lBF = `0` Chr`14` : `28,543,476`	0.001	0.999	0.001
rs2400749 lBF = `0` Chr`14` : `100,037,018`	0.001	0.999	0.001
rs1950626 lBF = `0` Chr`14` : `101,373,973`	0.001	0.999	0.001
rs17122693 lBF = `0` Chr`14` : `51,084,235`	0.001	0.999	0.001
rs149065551 lBF = `0` Chr`14` : `89,542,621`	0.001	0.999	0.001
rs6575793 lBF = `0` Chr`14` : `101,032,217`	0.001	0.999	0.001
rs1530947 lBF = `0` Chr`14` : `49,951,350`	0.001	0.999	0.001
rs1959536 lBF = `0` Chr`14` : `51,446,771`	0.001	0.999	0.001
rs2664299 lBF = `0` Chr`14` : `99,742,187`	0.001	0.999	0.001
rs941576 lBF = `0` Chr`14` : `101,306,045`	0.001	0.999	0.001
rs1265879 lBF = `0` Chr`14` : `50,877,983`	0.001	0.999	0.001
rs190480000 lBF = `0` Chr`14` : `82,031,121`	0.001	0.999	0.001
rs116335274 lBF = `0` Chr`14` : `28,614,388`	0.001	0.999	0.001
rs7157599 lBF = `0` Chr`14` : `100,625,902`	0.001	0.999	0.001
rs8008758 lBF = `0` Chr`14` : `101,690,045`	0.001	0.999	0.001
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rs2402444 lBF = `0.955774` Chr`14` : `94,765,672`	0.000	0.999	0.000
rs709400 lBF = `0.89509` Chr`14` : `104,149,475`	0.000	0.999	0.000
rs2039485 lBF = `0.250338` Chr`14` : `32,353,250`	0.000	0.999	0.000
rs7160685 lBF = `0.219288` Chr`14` : `93,223,990`	0.000	0.999	0.000
rs7155279 lBF = `0.060255` Chr`14` : `92,485,881`	0.000	0.999	0.000
rs17127713 lBF = `0.0575476` Chr`14` : `55,122,918`	0.000	0.999	0.000
rs3783938 lBF = `0.0404748` Chr`14` : `81,594,380`	0.000	0.999	0.000
rs2899832 lBF = `0.0137671` Chr`14` : `35,740,941`	0.000	0.999	0.000
rs1958581 lBF = `0.0051135` Chr`14` : `34,801,599`	0.000	0.999	0.000
rs10134944 lBF = `-0.0110375` Chr`14` : `58,119,196`	0.000	0.999	0.000
rs17094273 lBF = `-0.0178062` Chr`14` : `97,103,807`	0.000	0.999	0.000
rs36563 lBF = `-0.0187868` Chr`14` : `71,352,648`	0.000	0.999	0.000
rs7152623 lBF = `-0.0312203` Chr`14` : `98,588,321`	0.000	0.999	0.000
rs8192917 lBF = `-0.0376975` Chr`14` : `25,102,160`	0.000	0.999	0.000
rs3783637 lBF = `-0.0379375` Chr`14` : `55,348,118`	0.000	0.999	0.000
rs2803904 lBF = `-0.0555828` Chr`14` : `38,641,706`	0.000	0.999	0.000
rs12050161 lBF = `-0.0594686` Chr`14` : `69,360,631`	0.000	0.999	0.000
rs12896399 lBF = `-0.06867` Chr`14` : `92,773,663`	0.000	0.999	0.000
rs67478160 lBF = `-0.0789103` Chr`14` : `104,290,674`	0.000	0.999	0.000
rs1465788 lBF = `-0.0894039` Chr`14` : `69,263,599`	0.000	0.999	0.000
rs12589282 lBF = `-0.0979387` Chr`14` : `22,937,656`	0.000	0.999	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.000	0.999	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.000	0.999	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.000	0.999	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.000	0.999	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.000	0.999	0.000
rs33912345 lBF = `2.91634` Chr`14` : `60,976,537`	0.000	0.999	0.000
rs10483727 lBF = `2.90653` Chr`14` : `61,072,875`	0.000	0.999	0.000
rs78807545 lBF = `1.66568` Chr`14` : `97,541,630`	0.000	0.999	0.000
rs8020941 lBF = `1.5323` Chr`14` : `97,533,362`	0.000	0.999	0.000
rs699363 lBF = `0.173027` Chr`14` : `72,692,493`	0.000	0.999	0.000
rs4901977 lBF = `0.151587` Chr`14` : `60,789,176`	0.000	0.999	0.000
rs10132280 lBF = `0.150928` Chr`14` : `25,928,179`	0.000	0.999	0.000
rs73276024 lBF = `0.11509` Chr`14` : `56,356,921`	0.000	0.999	0.000
rs7153648 lBF = `0.0975812` Chr`14` : `61,122,526`	0.000	0.999	0.000
rs2681735 lBF = `0.066513` Chr`14` : `72,812,525`	0.000	0.999	0.000
rs17799178 lBF = `0.057419` Chr`14` : `90,605,436`	0.000	0.999	0.000
rs10498514 lBF = `0.0521203` Chr`14` : `64,899,055`	0.000	0.999	0.000
rs1959122 lBF = `0.0516474` Chr`14` : `82,337,665`	0.000	0.999	0.000
rs6576132 lBF = `0.0344887` Chr`14` : `28,728,111`	0.000	0.999	0.000
rs115102486 lBF = `0.0223896` Chr`14` : `95,764,564`	0.000	0.999	0.000
rs35099116 lBF = `0.0144685` Chr`14` : `98,897,384`	0.000	0.999	0.000
rs116002988 lBF = `0.00796389` Chr`14` : `99,457,437`	0.000	0.999	0.000
rs10220309 lBF = `0.00640147` Chr`14` : `80,587,141`	0.000	0.999	0.000
rs35209784 lBF = `0.00609035` Chr`14` : `59,751,830`	0.000	0.999	0.000
rs75575287 lBF = `0.00419909` Chr`14` : `73,222,829`	0.000	0.999	0.000
rs76752037 lBF = `0.00388596` Chr`14` : `105,728,197`	0.000	0.999	0.000
rs79578553 lBF = `0.00155831` Chr`14` : `61,595,747`	0.000	0.999	0.000
rs80073712 lBF = `-0.0061084` Chr`14` : `21,207,775`	0.000	0.999	0.000
rs118166657 lBF = `-0.00663862` Chr`14` : `64,047,262`	0.000	0.999	0.000
rs55995849 lBF = `-0.00697345` Chr`14` : `37,783,090`	0.000	0.999	0.000
rs111803315 lBF = `-0.00872891` Chr`14` : `59,965,293`	0.000	0.999	0.000
rs718545 lBF = `-0.00884296` Chr`14` : `30,489,623`	0.000	0.999	0.000
rs862946 lBF = `-0.0100431` Chr`14` : `26,488,467`	0.000	0.999	0.000
rs1316298 lBF = `-0.0104322` Chr`14` : `52,365,774`	0.000	0.999	0.000
rs2877649 lBF = `-0.0161482` Chr`14` : `24,954,002`	0.000	0.999	0.000
rs4900384 lBF = `-0.0170528` Chr`14` : `98,498,951`	0.000	0.999	0.000
rs11158026 lBF = `-0.0190821` Chr`14` : `55,348,869`	0.000	0.999	0.000
rs3811345 lBF = `-0.0386343` Chr`14` : `96,389,331`	0.000	0.999	0.000
rs1006973 lBF = `-0.0437442` Chr`14` : `52,077,089`	0.000	0.999	0.000
rs12436436 lBF = `-0.0517485` Chr`14` : `24,381,515`	0.000	0.999	0.000
rs12885454 lBF = `-0.0550644` Chr`14` : `29,736,838`	0.000	0.999	0.000
rs4901847 lBF = `-0.0833988` Chr`14` : `58,559,241`	0.000	0.999	0.000
rs10142203 lBF = `-0.10264` Chr`14` : `51,704,790`	0.000	0.999	0.000
rs7140150 lBF = `-0.109488` Chr`14` : `52,010,799`	0.000	0.999	0.000
rs7350721 lBF = `-0.119201` Chr`14` : `56,333,513`	0.000	0.999	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.000	1.000	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.000	1.000	0.000
rs8005334 lBF = `6.47865` Chr`14` : `79,563,654`	0.000	1.000	0.000
rs7151526 lBF = `4.71892` Chr`14` : `94,863,636`	0.000	1.000	0.000
rs55808324 lBF = `0.930699` Chr`14` : `88,444,752`	0.000	1.000	0.000
rs116909374 lBF = `0.909579` Chr`14` : `36,738,361`	0.000	1.000	0.000
rs7140285 lBF = `0.872006` Chr`14` : `88,462,988`	0.000	1.000	0.000
rs17111530 lBF = `0.778096` Chr`14` : `81,598,912`	0.000	1.000	0.000
rs1987778 lBF = `0.594574` Chr`14` : `71,715,863`	0.000	1.000	0.000
rs11622887 lBF = `0.565548` Chr`14` : `95,942,447`	0.000	1.000	0.000
rs17793829 lBF = `0.507042` Chr`14` : `91,022,185`	0.000	1.000	0.000
rs67366981 lBF = `0.400552` Chr`14` : `77,703,964`	0.000	1.000	0.000
rs12590437 lBF = `0.314604` Chr`14` : `38,447,092`	0.000	1.000	0.000
rs34310550 lBF = `0.169665` Chr`14` : `38,912,395`	0.000	1.000	0.000
rs10151686 lBF = `0.169654` Chr`14` : `30,466,466`	0.000	1.000	0.000
rs17100926 lBF = `0.161915` Chr`14` : `72,194,401`	0.000	1.000	0.000
rs11624704 lBF = `0.132674` Chr`14` : `78,786,077`	0.000	1.000	0.000
rs57561811 lBF = `0.0781139` Chr`14` : `61,572,178`	0.000	1.000	0.000
rs1508945 lBF = `0.0681269` Chr`14` : `58,034,570`	0.000	1.000	0.000
rs84044 lBF = `0.0616679` Chr`14` : `75,916,464`	0.000	1.000	0.000
rs12436663 lBF = `0.0452172` Chr`14` : `35,639,120`	0.000	1.000	0.000
rs55951657 lBF = `0.0422951` Chr`14` : `74,074,732`	0.000	1.000	0.000
rs8021963 lBF = `0.0406131` Chr`14` : `90,298,275`	0.000	1.000	0.000
rs11625461 lBF = `0.040507` Chr`14` : `52,403,684`	0.000	1.000	0.000
rs2582532 lBF = `0.0391405` Chr`14` : `105,392,837`	0.000	1.000	0.000
rs1756650 lBF = `0.0386228` Chr`14` : `87,741,025`	0.000	1.000	0.000
rs17106852 lBF = `0.0377967` Chr`14` : `38,038,468`	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

0.5164

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1364

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7127

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7091

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6961

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6892

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6823

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6786

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6774

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6749

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6714

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6681

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6634

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6575

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6565

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6527

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6517

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6453

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6427

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6403

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6370

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6277

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6274

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6198

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6168

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6009

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5962

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5958

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5922

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5864

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5860

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5858

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5856

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5736

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5734

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5722

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5716

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5694

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5691

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5669

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5653

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5631

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5624

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5603

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5583

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5576

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5509

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5447

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5398

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5372

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5358

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5237

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5216

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5184

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5140

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5140

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5140

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5140

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5140

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5139

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5139

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5139

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5138

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5138

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5138

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5138

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5136

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5135

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5120

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5119

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5118

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5115

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5097

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5082

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5059

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5057

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5037

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5021

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4954

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4927

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4927

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4854

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4847

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4845

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4775

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4748

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4711

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4693

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4625

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4618

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4594

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4504

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4495

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4476

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4461

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4331

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3789

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3724

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3666

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3620

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3478

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3367

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3364

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3253

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3204

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3136

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3049

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2865

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2772

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2533

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2312

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2174

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2169

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.2159

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2137

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2127

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2021

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1986

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1900

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1564

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1497

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0964

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0933

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0918

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0776

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0767

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0710

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0679

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0671

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0612

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0593

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0589

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0531

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0522

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0515

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`)