TreeWAS – [R26.2] Difficulty in walking, not elsewhere classified

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
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.905	0.095	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.879	0.121	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.836	0.164	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.832	0.168	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.817	0.183	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.814	0.186	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.813	0.187	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.804	0.196	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.804	0.196	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.782	0.218	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.780	0.220	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.776	0.224	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.773	0.227	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.767	0.233	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.762	0.238	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.761	0.239	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.760	0.240	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.760	0.240	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.759	0.241	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.758	0.242	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.756	0.244	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.754	0.246	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.754	0.246	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.753	0.247	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.752	0.248	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.752	0.248	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.751	0.249	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.749	0.250	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.749	0.251	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.749	0.251	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.748	0.252	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.746	0.254	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.742	0.258	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.741	0.259	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.741	0.259	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.737	0.262	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.736	0.264	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.736	0.264	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.733	0.267	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.732	0.268	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.729	0.271	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.726	0.274	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.720	0.280	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.720	0.280	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.717	0.283	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.717	0.283	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.716	0.284	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.712	0.288	0.000
rs9295990 lBF = `22.3458` Chr`6` : `31,386,019`	0.000	0.291	0.709
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.707	0.293	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.707	0.293	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.293	0.706
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.706	0.294	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.705	0.295	0.000
rs2516472 lBF = `23.2465` Chr`6` : `31,394,700`	0.000	0.295	0.705
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.703	0.297	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.703	0.297	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.701	0.299	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.700	0.300	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.698	0.302	0.000
rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.696	0.304	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.695	0.305	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.694	0.305	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.694	0.306	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.694	0.306	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.693	0.307	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.693	0.307	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.689	0.311	0.000
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.689	0.311	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.689	0.311	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.689	0.311	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.689	0.311	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.687	0.312	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.687	0.313	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.686	0.314	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.684	0.316	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.681	0.319	0.000
rs78535563 lBF = `12.3274` Chr`6` : `12,397,127`	0.681	0.319	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.678	0.321	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.678	0.322	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.678	0.322	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.676	0.324	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.676	0.324	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.675	0.325	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.675	0.325	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.675	0.325	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.674	0.326	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.674	0.326	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.674	0.326	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.674	0.326	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.673	0.327	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.672	0.327	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.672	0.328	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.671	0.329	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.670	0.330	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.669	0.330	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.669	0.331	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.668	0.332	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.668	0.332	0.000
rs2524276 lBF = `26.0024` Chr`6` : `31,408,265`	0.000	0.332	0.668
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.667	0.333	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.667	0.333	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.666	0.334	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.666	0.334	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.666	0.334	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.666	0.334	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.665	0.335	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.664	0.336	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.664	0.336	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.664	0.336	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.663	0.337	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.662	0.338	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.662	0.338	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.661	0.339	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.660	0.340	0.000
rs2596457 lBF = `23.1597` Chr`6` : `31,418,022`	0.000	0.340	0.660
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.659	0.341	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.659	0.341	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.658	0.341	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.658	0.342	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.658	0.342	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.657	0.343	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.657	0.343	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.656	0.343	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.656	0.343	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.654	0.346	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.653	0.347	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.653	0.347	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.653	0.347	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.652	0.348	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.651	0.349	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.651	0.349	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.651	0.349	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.651	0.349	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.650	0.350	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.650	0.350	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.650	0.350	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.649	0.351	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.649	0.351	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.649	0.351	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.648	0.352	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.647	0.353	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.647	0.353	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.647	0.353	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.646	0.354	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.646	0.354	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.645	0.354	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.645	0.355	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.644	0.356	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.644	0.356	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.643	0.357	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.643	0.357	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.642	0.358	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.642	0.358	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.641	0.359	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.639	0.361	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.638	0.361	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.637	0.363	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.636	0.364	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.636	0.364	0.000
rs76860700 lBF = `35.4858` Chr`1` : `168,705,216`	0.635	0.365	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.634	0.366	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.633	0.367	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.633	0.367	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.631	0.369	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.631	0.369	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.631	0.369	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.629	0.371	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.629	0.371	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.629	0.371	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.628	0.372	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.628	0.372	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.628	0.372	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.628	0.372	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.628	0.372	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.627	0.373	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.627	0.373	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.627	0.373	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.627	0.373	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.627	0.373	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.627	0.373	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.626	0.374	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.625	0.375	0.000
rs62262721 lBF = `9.29228` Chr`3` : `49,768,927`	0.625	0.375	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.625	0.375	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.624	0.376	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.624	0.376	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.622	0.377	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.622	0.378	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.622	0.378	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.621	0.379	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.621	0.379	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.621	0.379	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.618	0.382	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.618	0.382	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.617	0.382	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.617	0.383	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.617	0.383	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.616	0.384	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.615	0.384	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.615	0.385	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.615	0.385	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.615	0.385	0.000
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rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.539	0.461	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.539	0.461	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.538	0.462	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.535	0.465	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.534	0.465	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.534	0.466	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.534	0.466	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.532	0.467	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.532	0.468	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.532	0.468	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.532	0.468	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.532	0.468	0.000
rs2523536 lBF = `10.2024` Chr`6` : `31,336,000`	0.000	0.468	0.532
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.531	0.469	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.531	0.469	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.531	0.469	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.531	0.469	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.531	0.469	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.530	0.470	0.000
rs3750082 lBF = `3.32379` Chr`7` : `32,919,927`	0.529	0.471	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.527	0.473	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.527	0.473	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.526	0.473	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.526	0.474	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.526	0.474	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.526	0.474	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.525	0.475	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.525	0.475	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.525	0.475	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.524	0.476	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.524	0.476	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.524	0.476	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.524	0.476	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.523	0.476	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.523	0.476	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.523	0.477	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.523	0.477	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.523	0.477	0.000
rs183120114 lBF = `17.345` Chr`6` : `31,352,678`	0.523	0.477	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.522	0.477	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.522	0.477	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.521	0.478	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.521	0.478	0.000
rs79682748 lBF = `17.0173` Chr`1` : `66,989,719`	0.521	0.479	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.521	0.479	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.520	0.479	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.520	0.480	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.519	0.481	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.518	0.482	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.518	0.482	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.518	0.482	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.517	0.483	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.517	0.483	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.516	0.484	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.516	0.484	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.516	0.484	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.516	0.484	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.515	0.484	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.515	0.485	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.515	0.485	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.515	0.485	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.515	0.485	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.514	0.485	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.514	0.486	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.514	0.486	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.513	0.486	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.513	0.487	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.512	0.487	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.512	0.488	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.512	0.488	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.512	0.488	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.512	0.488	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.511	0.489	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.511	0.489	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.510	0.489	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.510	0.490	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.510	0.490	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.510	0.490	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.510	0.490	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.509	0.491	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.509	0.491	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.509	0.491	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.508	0.492	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.508	0.492	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.508	0.492	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.508	0.492	0.000
rs55961051 lBF = `7.1427` Chr`1` : `21,098,816`	0.508	0.492	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.507	0.492	0.000
rs11751494 lBF = `31.4605` Chr`6` : `33,804,669`	0.507	0.492	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.507	0.493	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.506	0.494	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.506	0.494	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.505	0.494	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.505	0.495	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.505	0.495	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.505	0.495	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5424

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2396

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9985

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9982

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9956

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9949

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9865

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9846

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9781

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9776

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9715

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9632

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9624

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9525

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9521

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9470

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9467

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9443

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9416

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9316

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9185

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9145

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9111

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9083

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9078

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9061

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9017

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8936

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8910

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8871

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8761

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8707

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8684

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8674

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8621

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8584

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8570

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8538

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8535

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8535

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8510

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8476

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8437

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8411

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8379

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8349

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8320

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8244

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8207

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8171

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8148

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8141

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8108

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8102

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8059

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7931

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7907

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7848

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7840

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7768

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7739

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7672

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7573

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7552

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7523

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7482

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7433

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7419

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7284

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7284

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7221

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7129

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7102

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7101

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7085

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7078

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7012

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7007

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6989

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6904

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6784

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6775

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6743

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6719

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6695

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6610

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6532

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6525

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6517

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6493

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6361

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6219

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6195

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6109

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5858

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5811

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5733

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5702

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5471

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5391

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5360

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5332

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5307

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5282

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5271

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5082

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5070

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5056

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4930

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4811

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4394

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4394

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4367

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4330

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4290

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4239

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4133

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4099

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4020

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3983

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3977

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3591

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3371

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3340

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3160

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3131

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2666

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2659

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2653

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2376

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2337

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2334

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2313

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1866

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1648

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1622

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1470

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1444

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1291

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1274

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1245

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1209

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1197

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1157

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1054

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1037

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0770

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0704

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0699

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0694

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0663

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0655

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0654

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0578

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0549

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0541

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0521

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`)