TreeWAS – [S64.4] Injury of digital nerve of other finger

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
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.812	0.188	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.791	0.209	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.786	0.214	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.777	0.223	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.769	0.231	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.742	0.258	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.736	0.264	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.727	0.273	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.693	0.307	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.684	0.316	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.671	0.329	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.661	0.339	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.658	0.342	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.652	0.347	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.624	0.376	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.606	0.393	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.581	0.419	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.569	0.430	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.564	0.436	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.562	0.438	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.561	0.438	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.558	0.442	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.552	0.448	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.551	0.449	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.550	0.449	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.548	0.452	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.541	0.459	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.536	0.464	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.532	0.468	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.525	0.475	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.519	0.481	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.519	0.481	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.513	0.487	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.510	0.490	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.506	0.494	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.499	0.501	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.491	0.509	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.489	0.511	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.477	0.523	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.476	0.524	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.467	0.532	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.463	0.537	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.458	0.542	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.455	0.545	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.451	0.549	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.449	0.551	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.439	0.560	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.439	0.561	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.434	0.566	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.430	0.570	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.424	0.576	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.424	0.576	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.424	0.576	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.424	0.576	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.417	0.583	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.410	0.590	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.408	0.592	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.407	0.593	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.404	0.596	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.398	0.602	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.395	0.605	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.391	0.609	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.388	0.612	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.388	0.612	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.387	0.612	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.381	0.619	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.381	0.619	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.377	0.623	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.370	0.629	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.366	0.634	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.365	0.635	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.361	0.639	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.361	0.639	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.354	0.646	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.343	0.656	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.332	0.668	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.324	0.676	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.319	0.680	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.318	0.682	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.317	0.683	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.312	0.687	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.308	0.692	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.302	0.698	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.295	0.705	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.295	0.705	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.274	0.726	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.272	0.728	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.262	0.738	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.260	0.740	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.260	0.740	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.257	0.743	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.255	0.744	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.250	0.750	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.248	0.752	0.001
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.246	0.754	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.246	0.754	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.246	0.754	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.236	0.764	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.235	0.764	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.231	0.769	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.221	0.778	0.001
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.219	0.781	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.215	0.784	0.001
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.215	0.784	0.001
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.215	0.784	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.215	0.784	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.215	0.784	0.001
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.209	0.791	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.208	0.791	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.204	0.796	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.199	0.801	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.198	0.801	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.186	0.814	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.181	0.819	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.177	0.822	0.001
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.170	0.830	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.167	0.832	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.167	0.833	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.145	0.854	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.145	0.855	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.141	0.858	0.001
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.140	0.859	0.001
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.134	0.865	0.001
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.131	0.869	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.129	0.870	0.001
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.128	0.871	0.001
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.123	0.877	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.117	0.882	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.117	0.882	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.115	0.884	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.112	0.887	0.001
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.112	0.887	0.001
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.110	0.890	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.107	0.892	0.001
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.107	0.893	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.107	0.893	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.103	0.897	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.099	0.901	0.001
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.093	0.907	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.092	0.908	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.089	0.910	0.001
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.076	0.922	0.003
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	0.928	0.072
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.071	0.929	0.001
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.070	0.929	0.001
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.070	0.930	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	0.931	0.069
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.064	0.936	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.057	0.943	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.057	0.943	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.048	0.952	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.044	0.955	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	0.957	0.043
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.040	0.959	0.001
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.037	0.963	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.036	0.964	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.033	0.967	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.031	0.967	0.001
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.025	0.975	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.021	0.978	0.001
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.021	0.979	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.018	0.981	0.001
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.000	0.982	0.018
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.017	0.983	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	0.983	0.017
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	0.011	0.989	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	0.989	0.010
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.010	0.990	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.010	0.990	0.000
rs67175876 lBF = `9.17872` Chr`15` : `78,928,399`	0.000	0.991	0.009
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.991	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.008	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.992	0.008
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.008	0.992	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.007	0.993	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.007	0.993	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.006	0.993	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.006	0.994	0.000
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.005	0.995	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.005	0.995	0.000
rs4965272 lBF = `0.0640466` Chr`15` : `100,584,739`	0.005	0.995	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.005	0.995	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.004	0.996	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.004	0.996	0.000
rs2290203 lBF = `0.222692` Chr`15` : `91,512,067`	0.000	0.996	0.004
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.004	0.996	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.004	0.996	0.000
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.004	0.996	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.004	0.996	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.004	0.996	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.996	0.000
rs7173064 lBF = `-0.0402484` Chr`15` : `94,271,228`	0.004	0.996	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	0.996	0.004
rs1440372 lBF = `0.213928` Chr`15` : `67,033,151`	0.003	0.997	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.003	0.997	0.000
rs2444043 lBF = `0.0165355` Chr`15` : `55,534,342`	0.000	0.997	0.003
rs9920506 lBF = `6.44917` Chr`15` : `78,931,057`	0.000	0.997	0.003
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rs8042260 lBF = `23.6429` Chr`15` : `78,774,374`	0.000	0.999	0.001
rs12916801 lBF = `23.5612` Chr`15` : `78,769,130`	0.000	0.999	0.001
rs8043227 lBF = `23.5612` Chr`15` : `78,768,871`	0.000	0.999	0.001
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.001	0.999	0.000
rs2125623 lBF = `0.148037` Chr`15` : `31,829,707`	0.001	0.999	0.000
rs2123926 lBF = `-0.0542601` Chr`15` : `100,264,518`	0.001	0.999	0.000
rs12899351 lBF = `23.481` Chr`15` : `78,792,398`	0.000	0.999	0.001
rs13180 lBF = `20.7136` Chr`15` : `78,789,488`	0.001	0.999	0.000
rs13329271 lBF = `19.6438` Chr`15` : `78,914,230`	0.001	0.999	0.000
rs1504549 lBF = `23.3155` Chr`15` : `78,766,629`	0.000	0.999	0.001
rs36146269 lBF = `23.2878` Chr`15` : `78,779,510`	0.000	0.999	0.001
rs965604 lBF = `23.272` Chr`15` : `78,789,223`	0.000	0.999	0.001
rs4887059 lBF = `23.2298` Chr`15` : `78,782,095`	0.000	0.999	0.001
rs4362358 lBF = `23.1905` Chr`15` : `78,796,104`	0.000	0.999	0.001
rs12594711 lBF = `23.1532` Chr`15` : `78,793,921`	0.000	0.999	0.001
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.001	0.999	0.000
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.000	0.999	0.001
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.001	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	0.999	0.001
rs783540 lBF = `-0.00710796` Chr`15` : `83,254,708`	0.001	0.999	0.000
rs4299116 lBF = `23.1218` Chr`15` : `78,766,194`	0.000	0.999	0.001
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.001	0.999	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.001	0.999	0.000
rs1667394 lBF = `3.63476` Chr`15` : `28,530,182`	0.001	0.999	0.000
rs12905273 lBF = `0.118888` Chr`15` : `79,002,755`	0.000	0.999	0.001
rs2398162 lBF = `-0.00139307` Chr`15` : `96,830,550`	0.001	0.999	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	0.999	0.000
rs8042988 lBF = `-0.0853468` Chr`15` : `89,412,279`	0.000	0.999	0.001
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.000	0.999	0.001
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	0.999	0.001
rs9972327 lBF = `-0.0668034` Chr`15` : `90,630,892`	0.000	0.999	0.001
rs8042238 lBF = `21.0848` Chr`15` : `78,774,271`	0.001	0.999	0.000
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.001	0.999	0.000
rs7181447 lBF = `19.7385` Chr`15` : `78,814,567`	0.001	0.999	0.000
rs7181245 lBF = `19.7337` Chr`15` : `78,814,389`	0.001	0.999	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	0.999	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	0.999	0.000
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.001	0.999	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	0.999	0.001
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	0.999	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	0.999	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	0.999	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.001	0.999	0.000
rs12594515 lBF = `-0.0698809` Chr`15` : `45,985,071`	0.001	0.999	0.000
rs4262906 lBF = `-0.0971759` Chr`15` : `86,462,852`	0.001	0.999	0.000
rs12904234 lBF = `23.0302` Chr`15` : `78,779,384`	0.000	0.999	0.001
rs12903295 lBF = `23.0086` Chr`15` : `78,778,972`	0.000	0.999	0.001
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.001	0.999	0.000
rs12916300 lBF = `1.72274` Chr`15` : `28,410,491`	0.001	0.999	0.000
rs1436955 lBF = `-0.0710419` Chr`15` : `62,404,382`	0.000	0.999	0.001
rs3736485 lBF = `-0.10337` Chr`15` : `51,748,610`	0.001	0.999	0.000
rs12903285 lBF = `23.1095` Chr`15` : `78,778,953`	0.000	0.999	0.001
rs12592111 lBF = `20.7266` Chr`15` : `78,767,346`	0.000	0.999	0.001
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.001	0.999	0.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.001	0.999	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.001	0.999	0.000
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.001	0.999	0.000
rs8192477 lBF = `10.322` Chr`15` : `78,910,463`	0.001	0.999	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	0.999	0.001
rs4932194 lBF = `-0.0542618` Chr`15` : `89,245,239`	0.001	0.999	0.000
rs2467853 lBF = `-0.0789371` Chr`15` : `45,698,793`	0.000	0.999	0.001
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.001	0.999	0.000
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.001	0.999	0.000
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.001	0.999	0.000
rs7169584 lBF = `19.7428` Chr`15` : `78,822,660`	0.001	0.999	0.000
rs2036534 lBF = `19.5552` Chr`15` : `78,826,948`	0.001	0.999	0.000
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.001	0.999	0.000
rs12441354 lBF = `19.2446` Chr`15` : `78,821,016`	0.001	0.999	0.000
rs8192478 lBF = `9.51953` Chr`15` : `78,910,462`	0.001	0.999	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.000	0.999	0.001
rs2118405 lBF = `-0.00674688` Chr`15` : `96,975,868`	0.000	0.999	0.001
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	0.999	0.001
rs1062980 lBF = `21.6264` Chr`15` : `78,792,527`	0.000	0.999	0.000
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.001	0.999	0.000
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.001	0.999	0.000
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.001	0.999	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.999	0.000
rs607541 lBF = `0.0507299` Chr`15` : `45,934,869`	0.000	0.999	0.001
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.000	0.999	0.001
rs61996546 lBF = `-0.0681912` Chr`15` : `26,804,131`	0.000	0.999	0.001
rs2453533 lBF = `-0.0781824` Chr`15` : `45,641,225`	0.000	0.999	0.001
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.001	0.999	0.000
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.001	0.999	0.000
rs35212593 lBF = `18.8452` Chr`15` : `78,831,826`	0.001	0.999	0.000
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.001	0.999	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.001	0.999	0.000
rs12439240 lBF = `18.4763` Chr`15` : `78,829,091`	0.001	0.999	0.000
rs8042680 lBF = `1.52245` Chr`15` : `91,521,337`	0.000	0.999	0.001
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	0.999	0.001
rs12324870 lBF = `0.189277` Chr`15` : `78,995,801`	0.000	0.999	0.001
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	0.999	0.000
rs8027587 lBF = `-0.0443232` Chr`15` : `89,249,139`	0.001	0.999	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.001	0.999	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	0.999	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	0.999	0.001
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.001	0.999	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	0.999	0.000
rs1898111 lBF = `-0.015389` Chr`15` : `47,892,298`	0.000	0.999	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	0.999	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3537

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2766

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9946

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9935

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9921

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9856

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9793

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9607

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9582

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9580

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9333

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9326

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9208

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9169

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9164

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9088

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9024

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8954

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8861

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8797

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8690

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8365

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8334

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8279

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8202

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8130

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7979

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7923

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7757

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7709

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7668

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7654

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7614

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7562

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7477

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7447

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7350

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7330

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7294

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7278

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7260

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7115

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7099

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6879

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6810

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6804

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6593

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6565

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6478

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6386

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6374

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6337

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6298

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6233

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5936

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5934

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5756

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5642

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5523

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5422

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5411

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5402

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5389

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5343

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5325

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5320

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5275

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5149

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5079

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5066

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.5035

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4977

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4856

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4825

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4814

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4562

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4436

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4302

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4074

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3987

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3975

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3799

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3492

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3360

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3354

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3323

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3205

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.3089

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3076

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3061

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2926

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2875

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2872

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2794

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2762

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2643

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2620

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2608

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2602

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2576

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2549

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2449

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2291

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2260

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2244

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2205

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2194

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2056

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1994

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1943

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1855

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1848

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1809

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1783

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1748

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1737

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1628

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1574

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1517

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1470

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1468

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1392

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1371

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1366

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1350

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1346

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1344

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1335

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1324

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1137

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1135

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1115

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1063

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1058

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1039

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0921

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0906

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0868

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0818

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0790

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0770

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0770

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0752

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0742

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0737

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0678

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0674

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0659

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0652

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0612

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0593

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0544

Cluster X0150

log Bayes Factor = 861.091

contains 26 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`)