TreeWAS – [S64.0] Injury of ulnar nerve 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
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.898	0.102	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.845	0.155	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.844	0.156	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.833	0.167	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.824	0.176	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.818	0.182	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.803	0.197	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.797	0.203	0.000
rs1205863 lBF = `4.47119` Chr`6` : `11,943,526`	0.785	0.215	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.781	0.219	0.000
rs7769061 lBF = `5.03821` Chr`6` : `111,926,909`	0.770	0.230	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.766	0.234	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.764	0.236	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.760	0.240	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.759	0.241	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.757	0.243	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.756	0.244	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.755	0.245	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.752	0.248	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.749	0.251	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.747	0.253	0.000
rs45627239 lBF = `18.4326` Chr`6` : `30,921,141`	0.747	0.253	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.744	0.256	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.744	0.256	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.741	0.259	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.738	0.262	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.738	0.262	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.738	0.262	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.733	0.267	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.731	0.269	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.729	0.271	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.729	0.271	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.729	0.271	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.726	0.274	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.724	0.276	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.723	0.277	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.722	0.278	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.722	0.278	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.721	0.279	0.000
rs116187470 lBF = `4.21606` Chr`11` : `102,717,641`	0.721	0.279	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.721	0.279	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.719	0.281	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.718	0.282	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.718	0.282	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.718	0.282	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.718	0.282	0.000
rs6887317 lBF = `0.595863` Chr`5` : `11,371,047`	0.717	0.283	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.716	0.284	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.715	0.285	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.714	0.286	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.712	0.288	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.712	0.288	0.000
rs6801044 lBF = `0.897546` Chr`3` : `195,289,387`	0.000	0.288	0.711
rs13220896 lBF = `12.8209` Chr`6` : `31,369,662`	0.711	0.289	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.711	0.289	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.711	0.289	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.709	0.291	0.000
rs680753 lBF = `3.47044` Chr`11` : `102,711,581`	0.709	0.291	0.000
rs476762 lBF = `3.26344` Chr`11` : `102,710,707`	0.708	0.292	0.000
rs563096 lBF = `2.966` Chr`11` : `102,707,366`	0.708	0.292	0.000
rs605949 lBF = `2.966` Chr`11` : `102,705,747`	0.708	0.292	0.000
rs569444 lBF = `2.966` Chr`11` : `102,707,305`	0.708	0.292	0.000
rs593698 lBF = `2.96088` Chr`11` : `102,704,476`	0.708	0.292	0.000
rs646910 lBF = `2.95877` Chr`11` : `102,709,522`	0.708	0.292	0.000
rs646760 lBF = `2.95553` Chr`11` : `102,703,278`	0.708	0.292	0.000
rs566125 lBF = `3.22901` Chr`11` : `102,710,471`	0.707	0.293	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.706	0.294	0.000
rs6453218 lBF = `11.8766` Chr`5` : `75,712,103`	0.705	0.295	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.704	0.296	0.000
rs655403 lBF = `2.92377` Chr`11` : `102,708,507`	0.704	0.296	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.702	0.298	0.000
rs13214703 lBF = `151.316` Chr`6` : `27,941,387`	0.701	0.299	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.700	0.300	0.000
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.699	0.301	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.698	0.302	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.695	0.304	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.695	0.305	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.695	0.305	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.695	0.305	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.693	0.307	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.693	0.307	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.692	0.308	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.692	0.308	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.691	0.309	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.691	0.309	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.691	0.309	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.691	0.309	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.688	0.312	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.687	0.313	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.687	0.313	0.000
rs72850953 lBF = `8.10331` Chr`11` : `1,771,871`	0.687	0.313	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.687	0.313	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.687	0.313	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.686	0.314	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.685	0.315	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.684	0.316	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.684	0.316	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.683	0.317	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.682	0.318	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.680	0.320	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.679	0.321	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.678	0.322	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.678	0.322	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.678	0.322	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.677	0.322	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.677	0.323	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.676	0.324	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.676	0.324	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.675	0.325	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.675	0.325	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.674	0.326	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.674	0.326	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.673	0.327	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.673	0.327	0.000
rs112729487 lBF = `16.3862` Chr`6` : `31,390,610`	0.672	0.328	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.671	0.329	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.670	0.330	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.670	0.330	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.670	0.330	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.670	0.330	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.670	0.330	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.668	0.332	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.668	0.332	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.667	0.333	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.667	0.333	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.666	0.333	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.666	0.334	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.666	0.334	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.665	0.335	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.665	0.335	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.665	0.335	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.664	0.336	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.664	0.336	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.664	0.336	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.662	0.338	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.661	0.339	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.661	0.339	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.661	0.339	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.661	0.339	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.660	0.340	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.660	0.340	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.660	0.340	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.659	0.341	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.658	0.342	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.657	0.343	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.657	0.343	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.657	0.343	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.657	0.343	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.656	0.344	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.656	0.344	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.656	0.344	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.655	0.344	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.652	0.348	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.651	0.349	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.650	0.350	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.650	0.350	0.000
rs494963 lBF = `2.30768` Chr`11` : `102,715,826`	0.650	0.350	0.000
rs7366282 lBF = `1.05477` Chr`1` : `214,779,427`	0.650	0.350	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.650	0.350	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.649	0.351	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.649	0.351	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.649	0.351	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.648	0.352	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.648	0.352	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.647	0.353	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.647	0.353	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.646	0.353	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.646	0.354	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.646	0.354	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.644	0.355	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.644	0.356	0.000
rs62263033 lBF = `4.70416` Chr`3` : `48,370,424`	0.644	0.356	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.643	0.357	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.643	0.357	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.643	0.357	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.643	0.357	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.642	0.358	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.642	0.358	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.642	0.358	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.641	0.359	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.641	0.359	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.640	0.359	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.640	0.360	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.640	0.360	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.639	0.361	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.639	0.361	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.638	0.362	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.638	0.362	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.637	0.363	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.637	0.363	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.637	0.363	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.636	0.364	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.636	0.364	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.636	0.364	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.636	0.364	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.635	0.365	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.635	0.365	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.634	0.366	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.633	0.367	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.633	0.367	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.633	0.367	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.633	0.367	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.633	0.367	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.632	0.368	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.632	0.368	0.000
rs17576670 lBF = `2.56905` Chr`2` : `62,817,019`	0.632	0.368	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.632	0.368	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.631	0.369	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.631	0.369	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.630	0.370	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.630	0.370	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.630	0.370	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.630	0.370	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.630	0.370	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.630	0.370	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.629	0.370	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.629	0.371	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.629	0.371	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.627	0.373	0.000
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rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.624	0.376	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.624	0.376	0.000
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rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.624	0.376	0.000
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rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.623	0.377	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.623	0.377	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.623	0.377	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.623	0.377	0.000
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rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.621	0.378	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.621	0.379	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.620	0.380	0.000
rs3850370 lBF = `2.26745` Chr`14` : `78,534,906`	0.620	0.380	0.000
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rs41527949 lBF = `5.62004` Chr`3` : `97,728,775`	0.618	0.382	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.618	0.382	0.000
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rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.618	0.382	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.617	0.382	0.000
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rs72981683 lBF = `3.40708` Chr`11` : `102,722,614`	0.614	0.386	0.000
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rs72981684 lBF = `3.49192` Chr`11` : `102,724,211`	0.613	0.387	0.000
rs72981680 lBF = `3.48351` Chr`11` : `102,721,859`	0.612	0.387	0.000
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rs737693 lBF = `3.47867` Chr`11` : `102,726,142`	0.612	0.388	0.000
rs72981675 lBF = `3.47992` Chr`11` : `102,721,251`	0.612	0.388	0.000
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rs72983513 lBF = `3.46329` Chr`11` : `102,728,985`	0.612	0.388	0.000
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rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.610	0.390	0.000
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rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.608	0.392	0.000
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rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.606	0.394	0.000
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rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.603	0.397	0.000
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rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.594	0.405	0.000
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rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.582	0.418	0.000
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rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.572	0.428	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.571	0.429	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.571	0.429	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.571	0.429	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.570	0.429	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.570	0.429	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.570	0.430	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.570	0.430	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.570	0.430	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.570	0.430	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.569	0.431	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.569	0.431	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.569	0.431	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.569	0.431	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.568	0.432	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.568	0.432	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.568	0.432	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.568	0.432	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.568	0.432	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.568	0.432	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.567	0.432	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.567	0.432	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.567	0.433	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.567	0.433	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.567	0.433	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.566	0.433	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.566	0.434	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.566	0.434	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.566	0.434	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.566	0.434	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.565	0.434	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.565	0.435	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.565	0.435	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.565	0.435	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.565	0.435	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.565	0.435	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.565	0.435	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.564	0.436	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.564	0.436	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.564	0.436	0.000
rs61819372 lBF = `13.7361` Chr`1` : `114,072,110`	0.564	0.436	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.564	0.436	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.564	0.436	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.564	0.436	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.563	0.437	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.563	0.437	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.562	0.438	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.562	0.438	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.562	0.438	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.562	0.438	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.561	0.439	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.561	0.439	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.561	0.439	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.561	0.439	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.561	0.439	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.560	0.439	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.560	0.440	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.560	0.440	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.560	0.440	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.560	0.440	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.560	0.440	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.560	0.440	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.559	0.441	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.559	0.441	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.559	0.441	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.559	0.441	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.559	0.441	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.558	0.442	0.000
rs78889204 lBF = `11.4029` Chr`3` : `36,863,059`	0.558	0.442	0.000
rs75376680 lBF = `19.3682` Chr`3` : `18,052,434`	0.558	0.442	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.558	0.442	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.557	0.443	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.557	0.443	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.557	0.443	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.557	0.443	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.557	0.443	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.556	0.443	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.556	0.444	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.556	0.444	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.556	0.444	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.556	0.444	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.556	0.444	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.556	0.444	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.556	0.444	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.555	0.445	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.555	0.445	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.555	0.445	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.555	0.445	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.555	0.445	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.554	0.445	0.000
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	0.554	0.445	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.554	0.446	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.554	0.446	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.554	0.446	0.000
rs115219852 lBF = `0.860198` Chr`2` : `61,651,528`	0.554	0.446	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.554	0.446	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

0.2802

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2477

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9940

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9915

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9718

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9710

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9429

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9360

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9323

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9285

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9248

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9170

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9164

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9164

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9150

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9150

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9014

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8999

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8992

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8912

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8909

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8894

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8823

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8801

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8778

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8759

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8744

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8735

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8698

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8666

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8645

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8612

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8599

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8580

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8532

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8524

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8519

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8518

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8481

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8344

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8308

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8243

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8216

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8212

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8199

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8141

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8120

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8114

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8112

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8062

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8032

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8003

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7968

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7963

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7871

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7848

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7731

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7694

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7653

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7647

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7581

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7535

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7441

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7415

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7411

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7335

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7334

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7267

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7234

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7223

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7155

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7150

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7149

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7144

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7107

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7094

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7089

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7088

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7036

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7023

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7005

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6918

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6874

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6858

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6851

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6850

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6847

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6840

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6786

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6776

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6768

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6761

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6746

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6743

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6726

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6723

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6701

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6701

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6692

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6684

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6647

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6634

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6577

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6571

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6571

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6567

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6559

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6539

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6499

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6481

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6452

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6424

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6387

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6371

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6344

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6330

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6302

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6246

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6230

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6219

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6158

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6140

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6133

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6124

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6105

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6069

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5905

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5887

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5855

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5805

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5791

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5771

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5674

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5665

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5623

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5612

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5606

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5474

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5472

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5470

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5421

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5407

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5349

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5349

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5346

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5251

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5220

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5178

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5113

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4844

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4826

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4706

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4694

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4653

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4585

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4567

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4567

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4509

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4500

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4379

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4366

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4305

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4226

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4155

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4132

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4058

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4023

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3942

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3687

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3558

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3547

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3544

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3540

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3494

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3379

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3377

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3250

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3230

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2687

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2663

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2578

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2472

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2278

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2275

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.1860

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1815

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1781

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1778

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1768

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1763

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1611

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1539

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1487

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1404

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1373

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1260

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1211

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.1083

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0880

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0658

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0649

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0521

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0516

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`)