TreeWAS – [R27.0] Ataxia, unspecified

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
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.822	0.178	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.782	0.218	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.677	0.323	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.633	0.367	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.619	0.381	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.593	0.407	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.592	0.408	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.573	0.427	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.572	0.428	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.563	0.436	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.563	0.437	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.553	0.447	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.533	0.467	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.523	0.477	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.518	0.482	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.517	0.483	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.510	0.490	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.502	0.498	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.497	0.503	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.482	0.517	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.470	0.529	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.469	0.530	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.469	0.531	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.463	0.537	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.461	0.538	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.450	0.550	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.448	0.552	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.446	0.554	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.445	0.555	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.431	0.569	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.431	0.569	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.410	0.590	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.407	0.593	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.403	0.597	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.398	0.601	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.389	0.610	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.389	0.610	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.382	0.618	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.379	0.621	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.371	0.629	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.351	0.649	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.321	0.679	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.317	0.683	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.315	0.685	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.311	0.689	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.302	0.697	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.302	0.697	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.299	0.701	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.295	0.704	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.290	0.709	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.269	0.730	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.265	0.735	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.262	0.738	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.260	0.739	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.254	0.745	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.253	0.747	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.247	0.753	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.244	0.756	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.228	0.772	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.219	0.781	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.192	0.808	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.185	0.814	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.185	0.815	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.173	0.826	0.001
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.146	0.854	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.140	0.860	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.130	0.870	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.129	0.871	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.122	0.878	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.121	0.878	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.117	0.883	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.112	0.888	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.108	0.892	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.104	0.896	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.104	0.896	0.001
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.102	0.898	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.087	0.913	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.079	0.921	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.075	0.924	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.069	0.930	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.069	0.931	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.057	0.943	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.056	0.944	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.054	0.946	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.046	0.954	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.037	0.962	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.037	0.963	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.037	0.963	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.036	0.964	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.034	0.966	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.034	0.966	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.026	0.974	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.026	0.974	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.025	0.975	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.017	0.983	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.017	0.983	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.016	0.984	0.000
rs12148488 lBF = `-0.0718633` Chr`15` : `75,382,542`	0.000	0.986	0.014
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.011	0.988	0.001
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.988	0.011
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.011	0.989	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.989	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.011	0.989	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.008	0.992	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.007	0.992	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.007	0.993	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.007	0.993	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.006	0.994	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.006	0.994	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.005	0.994	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	0.994	0.006
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.005	0.994	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.005	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.005	0.995	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.005	0.995	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.005	0.995	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.005	0.995	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.004	0.995	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.000	0.996	0.004
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.004	0.996	0.000
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.004	0.996	0.000
rs6495122 lBF = `1.14806` Chr`15` : `75,125,645`	0.004	0.996	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.004	0.996	0.000
rs1823874 lBF = `-0.0604683` Chr`15` : `100,357,435`	0.000	0.996	0.004
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.000	0.996	0.004
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.004	0.996	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	0.996	0.004
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.003	0.997	0.000
rs10520045 lBF = `0.0447628` Chr`15` : `36,313,965`	0.000	0.997	0.003
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.000	0.997	0.003
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.003	0.997	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.000	0.997	0.003
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.000	0.998	0.002
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.002	0.998	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.002	0.998	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.002	0.998	0.000
rs8033165 lBF = `0.0130614` Chr`15` : `29,006,093`	0.000	0.998	0.002
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.998	0.000
rs8027587 lBF = `-0.0443232` Chr`15` : `89,249,139`	0.002	0.998	0.000
rs2120019 lBF = `0.0398977` Chr`15` : `75,334,184`	0.000	0.998	0.002
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.002	0.998	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.000	0.998	0.002
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs1897031 lBF = `-0.0132897` Chr`15` : `54,341,465`	0.002	0.998	0.000
rs4932194 lBF = `-0.0542618` Chr`15` : `89,245,239`	0.002	0.998	0.000
rs2018860 lBF = `-0.105359` Chr`15` : `99,258,710`	0.002	0.998	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	0.998	0.002
rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	0.002	0.998	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	0.998	0.002
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	0.998	0.002
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.002	0.998	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	0.998	0.002
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	0.998	0.002
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.002	0.998	0.000
rs7164335 lBF = `-0.0545827` Chr`15` : `68,715,032`	0.000	0.998	0.002
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.000	0.998	0.002
rs1394125 lBF = `0.0167156` Chr`15` : `76,158,983`	0.000	0.998	0.002
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	0.998	0.002
rs2444043 lBF = `0.0165355` Chr`15` : `55,534,342`	0.000	0.998	0.002
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.002	0.998	0.000
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.002	0.998	0.000
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.000	0.998	0.002
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.001	0.998	0.000
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	0.998	0.002
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.002	0.998	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.002	0.998	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.998	0.001
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.001	0.998	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	0.999	0.001
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.001	0.999	0.000
rs17439560 lBF = `-0.016614` Chr`15` : `37,449,619`	0.000	0.999	0.001
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.001	0.999	0.000
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	0.999	0.001
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.000	0.999	0.001
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.001	0.999	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.999	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.001	0.999	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.001	0.999	0.000
rs1370156 lBF = `0.654635` Chr`15` : `34,984,883`	0.000	0.999	0.001
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.001	0.999	0.000
rs35343117 lBF = `2.22504` Chr`15` : `86,079,115`	0.001	0.999	0.000
rs3743200 lBF = `0.0151092` Chr`15` : `79,274,046`	0.001	0.999	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.000	0.999	0.001
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs12902137 lBF = `0.116481` Chr`15` : `24,924,663`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	0.999	0.001
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	0.999	0.001
rs12915845 lBF = `0.271243` Chr`15` : `89,042,467`	0.001	0.999	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.001	0.999	0.000
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rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.001	0.999	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	0.999	0.000
rs9972327 lBF = `-0.0668034` Chr`15` : `90,630,892`	0.001	0.999	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.001	0.999	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.000	0.999	0.001
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	0.999	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.999	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	0.999	0.001
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	0.999	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.000	0.999	0.001
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	0.999	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.001	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.999	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	0.999	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	0.999	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	0.999	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.001	0.999	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.001	0.999	0.000
rs8042849 lBF = `34.3643` Chr`15` : `78,817,929`	0.001	0.999	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.001	0.999	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	0.999	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	0.999	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.001	0.999	0.000
rs12913538 lBF = `-0.00548122` Chr`15` : `62,899,160`	0.001	0.999	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	0.999	0.001
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.001	0.999	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	0.999	0.001
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	0.999	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	0.999	0.001
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.001	0.999	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.000	0.999	0.001
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.001	0.999	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.000	0.999	0.000
rs2627323 lBF = `6.78206` Chr`15` : `81,021,383`	0.001	0.999	0.000
rs8042680 lBF = `1.52245` Chr`15` : `91,521,337`	0.001	0.999	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.000	0.999	0.001
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	0.999	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.999	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	0.999	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.000	0.999	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.000	0.999	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.000	0.999	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	0.999	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	0.999	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	0.999	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.001	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	0.999	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	0.999	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.999	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	0.999	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	0.999	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.001	0.999	0.000
rs1439620 lBF = `-0.0717355` Chr`15` : `93,429,646`	0.000	0.999	0.001
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.000	0.999	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.000	0.999	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.000	0.999	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.000	0.999	0.000
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.001	0.999	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	0.999	0.000
rs10152811 lBF = `0.0544045` Chr`15` : `86,854,590`	0.000	0.999	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	0.999	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	0.999	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	0.999	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.000	0.999	0.000
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.000	0.999	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	0.999	0.000
rs17636733 lBF = `-0.0629164` Chr`15` : `25,912,339`	0.001	0.999	0.000
rs2229116 lBF = `-0.0968471` Chr`15` : `33,905,410`	0.000	0.999	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	0.999	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.000	0.999	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.000	0.999	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.000	0.999	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	0.999	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	0.999	0.000
rs11857176 lBF = `0.705823` Chr`15` : `78,164,706`	0.000	0.999	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	0.999	0.000
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	0.000	0.999	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	0.999	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	0.999	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.999	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	0.999	0.000
rs7359257 lBF = `-0.0122994` Chr`15` : `67,702,907`	0.000	0.999	0.000
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.000	0.999	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	0.999	0.000
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.000	0.999	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	0.999	0.000
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	0.999	0.000
rs11071720 lBF = `-0.070091` Chr`15` : `63,341,996`	0.000	0.999	0.000
rs8030136 lBF = `-0.0708881` Chr`15` : `25,022,988`	0.000	0.999	0.000
rs11072783 lBF = `11.6644` Chr`15` : `78,965,966`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs2404602 lBF = `0.25324` Chr`15` : `77,030,792`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	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

0.5569

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1841

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9977

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9961

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9891

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9809

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9790

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9732

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9726

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9718

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9717

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9662

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9597

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9563

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9486

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9447

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9344

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9294

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9285

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9241

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9230

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9228

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9155

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9127

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9099

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9053

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9042

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9024

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8896

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8870

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8833

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8782

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8762

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8624

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8495

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8456

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8413

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8350

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8301

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8163

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8141

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7969

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7871

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7837

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7821

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7821

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7719

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7675

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7642

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7565

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7543

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7519

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7467

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7465

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7354

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7328

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6846

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6745

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6389

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6283

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6237

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6104

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6102

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5933

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5929

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5852

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5738

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5666

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5656

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5557

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5451

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5422

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5407

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5401

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5332

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5184

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5084

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5042

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5031

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4895

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4887

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4842

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4840

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4817

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4763

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4760

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4755

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4747

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4678

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4457

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4393

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4356

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4354

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4271

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4217

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4068

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3996

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3967

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3963

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3812

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3705

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3701

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3577

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3553

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3544

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3506

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3492

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3480

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3463

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3417

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3406

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3309

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3221

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3214

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3161

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3067

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2807

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2505

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2456

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2297

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2295

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1903

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1753

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1724

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1632

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1602

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1574

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1510

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1443

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1408

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1361

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1253

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1240

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1154

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1055

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1037

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1015

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0902

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0849

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0848

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0816

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0798

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0657

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0593

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0548

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0544

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0544

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0529

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0516

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0504

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`)