TreeWAS – [S66.2] Injury of extensor muscle and tendon of thumb at wrist and hand level

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
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.946	0.054	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.906	0.094	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.888	0.112	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.884	0.116	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.880	0.120	0.000
rs1555967 lBF = `2.33405` Chr`6` : `51,159,995`	0.877	0.123	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.876	0.124	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.866	0.134	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.862	0.138	0.000
rs34406675 lBF = `23.4153` Chr`2` : `144,301,488`	0.858	0.141	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.843	0.157	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.841	0.159	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.841	0.159	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.835	0.165	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.834	0.166	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.829	0.171	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.825	0.175	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.825	0.175	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.822	0.178	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.818	0.181	0.000
rs6801044 lBF = `0.897546` Chr`3` : `195,289,387`	0.000	0.183	0.817
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.807	0.193	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.806	0.194	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.804	0.196	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.801	0.199	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.799	0.201	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.796	0.204	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.790	0.210	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.789	0.211	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.788	0.212	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.787	0.213	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.786	0.214	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.786	0.214	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.784	0.216	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.783	0.217	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.782	0.217	0.000
rs6453218 lBF = `11.8766` Chr`5` : `75,712,103`	0.782	0.218	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.781	0.219	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.781	0.219	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.779	0.221	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.778	0.222	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.777	0.223	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.776	0.224	0.000
rs6779678 lBF = `12.6162` Chr`3` : `149,225,903`	0.774	0.226	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.773	0.227	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.773	0.227	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.771	0.229	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.769	0.231	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.768	0.232	0.000
rs12515737 lBF = `5.78667` Chr`5` : `80,231,611`	0.767	0.233	0.000
rs114101798 lBF = `17.9738` Chr`3` : `135,286,950`	0.765	0.235	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.765	0.235	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.762	0.238	0.000
rs2251824 lBF = `33.847` Chr`6` : `31,511,857`	0.762	0.238	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.761	0.239	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.761	0.239	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.758	0.242	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.757	0.243	0.000
rs2523503 lBF = `34.5631` Chr`6` : `31,513,559`	0.757	0.243	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.757	0.243	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.756	0.244	0.000
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.755	0.245	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.754	0.246	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.753	0.247	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.753	0.247	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.752	0.248	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.751	0.249	0.000
rs78165376 lBF = `8.53544` Chr`3` : `177,552,699`	0.747	0.253	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.745	0.255	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.744	0.256	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.744	0.256	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.743	0.257	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.742	0.258	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.741	0.259	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.741	0.259	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.741	0.259	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.740	0.260	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.740	0.260	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.739	0.260	0.000
rs34454471 lBF = `18.9993` Chr`11` : `64,607,670`	0.739	0.261	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.739	0.261	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.738	0.262	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.738	0.262	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.737	0.263	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.737	0.263	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.737	0.263	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.737	0.263	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.737	0.263	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.736	0.264	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.736	0.264	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.736	0.264	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.735	0.265	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.735	0.265	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.734	0.266	0.000
rs13214703 lBF = `151.316` Chr`6` : `27,941,387`	0.734	0.266	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.733	0.267	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.733	0.267	0.000
rs7554182 lBF = `3.02734` Chr`1` : `182,021,283`	0.732	0.268	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.731	0.269	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.731	0.269	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.731	0.269	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.730	0.270	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.729	0.271	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.729	0.271	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.728	0.272	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.728	0.272	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.727	0.273	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.726	0.274	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.726	0.274	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.726	0.274	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.725	0.274	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.725	0.275	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.725	0.275	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.723	0.276	0.000
rs2523506 lBF = `32.8524` Chr`6` : `31,509,967`	0.723	0.277	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.723	0.277	0.000
rs9309413 lBF = `1.3917` Chr`2` : `68,570,772`	0.000	0.277	0.723
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.722	0.278	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.721	0.279	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.721	0.279	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.721	0.279	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.721	0.279	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.721	0.279	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.719	0.281	0.000
rs112833835 lBF = `14.7107` Chr`1` : `225,084,059`	0.719	0.281	0.000
rs61819881 lBF = `13.5132` Chr`1` : `209,460,628`	0.718	0.282	0.000
rs115219852 lBF = `0.860198` Chr`2` : `61,651,528`	0.717	0.283	0.000
rs2259435 lBF = `31.1222` Chr`6` : `31,496,915`	0.716	0.284	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.716	0.284	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.715	0.285	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.715	0.285	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.715	0.285	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.714	0.285	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.714	0.286	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.713	0.287	0.000
rs45627239 lBF = `18.4326` Chr`6` : `30,921,141`	0.712	0.288	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.712	0.288	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.712	0.288	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.711	0.289	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.710	0.290	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.709	0.291	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.709	0.291	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.707	0.293	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.705	0.295	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.704	0.296	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.703	0.297	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.702	0.298	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.699	0.301	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.699	0.301	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.699	0.301	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.698	0.302	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.698	0.302	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.696	0.304	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	0.696	0.304	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.696	0.304	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.696	0.304	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.696	0.304	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.696	0.304	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.696	0.304	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.695	0.305	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.695	0.305	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.693	0.307	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.693	0.307	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.693	0.307	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.692	0.308	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.691	0.309	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.691	0.309	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.691	0.309	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.691	0.309	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.690	0.310	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.690	0.310	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.690	0.310	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.689	0.311	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.689	0.311	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.689	0.311	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.688	0.312	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.688	0.312	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.687	0.313	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.687	0.313	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.687	0.313	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.686	0.314	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.686	0.314	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.684	0.316	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.683	0.317	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.683	0.317	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.683	0.317	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.683	0.317	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.682	0.318	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.682	0.318	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.680	0.320	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.680	0.320	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.680	0.320	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.679	0.321	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.678	0.322	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.678	0.322	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.677	0.323	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.675	0.325	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.675	0.325	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.674	0.326	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.674	0.326	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.674	0.326	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.672	0.328	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.672	0.328	0.000
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rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.607	0.393	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.607	0.393	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.607	0.393	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.607	0.393	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.607	0.393	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.606	0.394	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.606	0.394	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.605	0.395	0.000
rs181660893 lBF = `3.37336` Chr`2` : `82,026,934`	0.605	0.395	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.604	0.395	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.604	0.396	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.604	0.396	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.604	0.396	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.603	0.397	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.603	0.397	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.603	0.397	0.000
rs80215559 lBF = `40.8472` Chr`6` : `25,918,225`	0.603	0.397	0.000
rs7634487 lBF = `11.5118` Chr`3` : `21,580,556`	0.603	0.397	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.603	0.397	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.602	0.398	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.602	0.398	0.000
rs60123959 lBF = `5.86843` Chr`2` : `237,477,938`	0.602	0.398	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.602	0.398	0.000
rs75598744 lBF = `3.85923` Chr`2` : `82,016,463`	0.602	0.398	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.602	0.398	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.601	0.399	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.600	0.400	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.600	0.400	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.600	0.400	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.600	0.400	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.600	0.400	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.599	0.401	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.599	0.401	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.599	0.401	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.598	0.402	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.598	0.402	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.597	0.402	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.597	0.403	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.597	0.403	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.596	0.403	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.595	0.405	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.595	0.405	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.595	0.405	0.000
rs61823177 lBF = `17.368` Chr`1` : `159,815,357`	0.595	0.405	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.595	0.405	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.594	0.405	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.594	0.406	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.594	0.406	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.594	0.406	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.594	0.406	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.593	0.407	0.000
rs2229092 lBF = `13.1652` Chr`6` : `31,540,757`	0.592	0.408	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.591	0.408	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.591	0.409	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.591	0.409	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.591	0.409	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.591	0.409	0.000
rs9266340 lBF = `17.9247` Chr`6` : `31,331,306`	0.590	0.410	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.590	0.410	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.590	0.410	0.000
rs73176713 lBF = `14.4642` Chr`3` : `174,685,918`	0.590	0.410	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.590	0.410	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.590	0.410	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.589	0.411	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.589	0.411	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.589	0.411	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.589	0.411	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.589	0.411	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.589	0.411	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.588	0.412	0.000
rs201435717 lBF = `2.48587` Chr`6` : `122,793,700`	0.588	0.412	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.587	0.413	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.587	0.413	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.587	0.413	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.587	0.413	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.587	0.413	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.586	0.413	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.586	0.414	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.586	0.414	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.586	0.414	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.585	0.415	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.585	0.415	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.585	0.415	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.585	0.415	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.584	0.415	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.584	0.416	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.584	0.416	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.584	0.416	0.000
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.584	0.416	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.584	0.416	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.584	0.416	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.584	0.416	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.584	0.416	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.583	0.416	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.584	0.416	0.000
rs7769061 lBF = `5.03821` Chr`6` : `111,926,909`	0.583	0.416	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

0.2975

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2046

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9856

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9802

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9755

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9752

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9747

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9671

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9652

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9587

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9563

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9511

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9464

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9444

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9440

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9438

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9395

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9356

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9337

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9220

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9182

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9035

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8978

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8934

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8904

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8844

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8700

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8679

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8626

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8590

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8511

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8234

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8227

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8190

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8077

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8051

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8050

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8034

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7982

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7951

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7883

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7874

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7873

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7733

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7645

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7643

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7574

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7538

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7395

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7371

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7361

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7278

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7175

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7117

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7068

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7056

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7045

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7028

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7021

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6973

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6945

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6881

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6875

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6836

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6811

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6751

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6742

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6686

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6678

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6639

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6633

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6609

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6600

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6470

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6431

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6337

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6116

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6004

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5977

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5931

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5899

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5819

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5819

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5792

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5766

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5713

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5683

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5673

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5655

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5611

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.5545

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5510

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5427

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5341

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5316

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5309

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5307

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5275

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5244

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5239

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5026

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5007

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4990

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4972

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4972

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4950

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4947

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4900

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4885

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4734

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4677

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4497

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4493

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4452

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4425

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4395

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4325

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4302

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4260

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4111

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4008

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3698

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3681

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3624

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3565

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3540

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3529

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3480

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3456

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3448

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3340

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3243

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3241

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3229

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2703

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2481

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2463

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2395

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2381

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2334

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2227

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2202

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2136

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2114

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1909

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1830

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1812

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1549

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1471

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1400

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1372

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1352

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1343

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1275

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1254

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1252

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1233

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1214

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1205

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1193

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1176

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1161

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1113

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1021

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0847

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0747

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0698

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0657

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0627

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0618

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0616

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0609

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0597

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0567

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0552

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0544

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0527

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0517

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`)