TreeWAS – [C17.1] Jejunum

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
rs77644898 lBF = `5.78522` Chr`1` : `234,899,258`	0.739	0.261	0.000
rs7742654 lBF = `78.9886` Chr`6` : `32,271,443`	0.709	0.291	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.682	0.318	0.000
rs2151280 lBF = `148.877` Chr`9` : `22,034,719`	0.000	0.321	0.679
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.676	0.324	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.671	0.329	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.665	0.335	0.000
rs10965215 lBF = `149.273` Chr`9` : `22,029,445`	0.000	0.336	0.664
rs7751896 lBF = `75.8342` Chr`6` : `32,255,410`	0.663	0.337	0.000
rs6935269 lBF = `77.7504` Chr`6` : `32,260,350`	0.661	0.339	0.000
rs7767325 lBF = `77.4929` Chr`6` : `32,233,886`	0.661	0.339	0.000
rs1474055 lBF = `2.74414` Chr`2` : `169,110,394`	0.660	0.340	0.000
rs6909427 lBF = `79.0866` Chr`6` : `32,268,701`	0.659	0.341	0.000
rs2102808 lBF = `2.65746` Chr`2` : `169,117,025`	0.659	0.341	0.000
rs3096681 lBF = `77.0179` Chr`6` : `32,235,177`	0.659	0.341	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.659	0.341	0.000
rs3749966 lBF = `76.6498` Chr`6` : `32,261,507`	0.658	0.342	0.000
rs3115553 lBF = `75.8613` Chr`6` : `32,245,827`	0.657	0.343	0.000
rs1038903 lBF = `0.900745` Chr`4` : `28,752,054`	0.656	0.344	0.000
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.655	0.345	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.655	0.345	0.000
rs3115569 lBF = `76.7928` Chr`6` : `32,224,139`	0.655	0.345	0.000
rs3130340 lBF = `76.5037` Chr`6` : `32,244,627`	0.654	0.346	0.000
rs62556547 lBF = `41.6654` Chr`9` : `22,019,156`	0.654	0.346	0.000
rs2157719 lBF = `171.627` Chr`9` : `22,033,366`	0.653	0.347	0.000
rs9268055 lBF = `76.1528` Chr`6` : `32,230,608`	0.651	0.349	0.000
rs3132928 lBF = `75.6443` Chr`6` : `32,234,015`	0.651	0.349	0.000
rs3864302 lBF = `77.5578` Chr`6` : `32,278,792`	0.650	0.350	0.000
rs1063192 lBF = `160.304` Chr`9` : `22,003,367`	0.648	0.352	0.000
rs3096673 lBF = `78.873` Chr`6` : `32,238,013`	0.648	0.352	0.000
rs3115560 lBF = `76.4939` Chr`6` : `32,236,142`	0.647	0.353	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.647	0.353	0.000
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.000	0.354	0.646
rs9268213 lBF = `86.1367` Chr`6` : `32,282,081`	0.646	0.354	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.646	0.354	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.644	0.355	0.000
rs6915455 lBF = `82.932` Chr`6` : `32,283,494`	0.640	0.360	0.000
rs3115563 lBF = `76.6493` Chr`6` : `32,233,638`	0.640	0.360	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.640	0.360	0.000
rs9268167 lBF = `87.3034` Chr`6` : `32,272,437`	0.635	0.365	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.634	0.366	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.633	0.367	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.633	0.367	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.633	0.367	0.000
rs1018433 lBF = `85.4992` Chr`6` : `32,281,510`	0.632	0.368	0.000
rs6934429 lBF = `84.5686` Chr`6` : `32,279,622`	0.632	0.368	0.000
rs17411949 lBF = `4.20269` Chr`3` : `140,099,693`	0.631	0.369	0.000
rs6909790 lBF = `83.6247` Chr`6` : `32,282,979`	0.630	0.370	0.000
rs7874604 lBF = `150.563` Chr`9` : `22,054,690`	0.000	0.374	0.626
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.625	0.374	0.000
rs12069336 lBF = `13.4724` Chr`1` : `162,129,334`	0.624	0.376	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.623	0.376	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.623	0.377	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.623	0.377	0.000
rs9461908 lBF = `53.4251` Chr`6` : `33,736,082`	0.622	0.378	0.000
rs61901649 lBF = `7.32545` Chr`11` : `59,340,013`	0.621	0.379	0.000
rs3864300 lBF = `83.9992` Chr`6` : `32,271,807`	0.619	0.381	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.618	0.382	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	0.618	0.382	0.000
rs915895 lBF = `208.157` Chr`6` : `32,190,217`	0.617	0.383	0.000
rs17439722 lBF = `11.9801` Chr`7` : `116,780,178`	0.617	0.383	0.000
rs6457536 lBF = `82.0453` Chr`6` : `32,273,765`	0.616	0.384	0.000
rs1158656 lBF = `5.87082` Chr`5` : `173,213,637`	0.615	0.384	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.614	0.385	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.612	0.388	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.611	0.389	0.000
rs11601321 lBF = `4.40566` Chr`11` : `125,193,596`	0.609	0.391	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.608	0.392	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.608	0.392	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.608	0.392	0.000
rs1018430 lBF = `76.6565` Chr`6` : `32,281,688`	0.607	0.393	0.000
rs9268135 lBF = `85.8206` Chr`6` : `32,255,230`	0.606	0.394	0.000
rs1018434 lBF = `86.6385` Chr`6` : `32,281,360`	0.606	0.394	0.000
rs204993 lBF = `249.805` Chr`6` : `32,155,581`	0.605	0.395	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.605	0.395	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.605	0.395	0.000
rs3129943 lBF = `105.956` Chr`6` : `32,338,695`	0.604	0.396	0.000
rs9268165 lBF = `78.52` Chr`6` : `32,272,327`	0.603	0.397	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.602	0.398	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.601	0.399	0.000
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	0.601	0.399	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.599	0.400	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.597	0.402	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.597	0.403	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.596	0.404	0.000
rs17211510 lBF = `186.894` Chr`6` : `32,602,430`	0.000	0.404	0.596
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.594	0.405	0.000
rs915894 lBF = `219.818` Chr`6` : `32,190,390`	0.594	0.405	0.000
rs78442748 lBF = `5.95674` Chr`2` : `62,105,986`	0.594	0.406	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.594	0.406	0.000
rs3129937 lBF = `115.647` Chr`6` : `32,336,364`	0.594	0.406	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.593	0.406	0.000
rs443198 lBF = `204.432` Chr`6` : `32,190,406`	0.593	0.407	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.592	0.408	0.000
rs3129926 lBF = `114.929` Chr`6` : `32,333,480`	0.591	0.409	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.589	0.411	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.589	0.411	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.588	0.412	0.000
rs10965219 lBF = `150.789` Chr`9` : `22,053,687`	0.000	0.412	0.588
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.588	0.412	0.000
rs3129924 lBF = `114.495` Chr`6` : `32,333,299`	0.588	0.412	0.000
rs2143462 lBF = `111.792` Chr`6` : `32,335,204`	0.588	0.412	0.000
rs2143461 lBF = `117.85` Chr`6` : `32,335,347`	0.587	0.413	0.000
rs35242582 lBF = `194.11` Chr`6` : `32,600,057`	0.000	0.413	0.587
rs56308049 lBF = `5.33128` Chr`18` : `27,976,836`	0.587	0.413	0.000
rs2273565 lBF = `6.83534` Chr`6` : `27,222,974`	0.586	0.414	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.586	0.414	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.586	0.414	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.586	0.414	0.000
rs3129939 lBF = `115.58` Chr`6` : `32,336,766`	0.586	0.414	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.585	0.414	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.585	0.415	0.000
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.000	0.415	0.585
rs1633096 lBF = `97.5333` Chr`6` : `29,707,267`	0.585	0.415	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.584	0.416	0.000
rs9917256 lBF = `2.8234` Chr`2` : `169,143,035`	0.583	0.417	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.582	0.417	0.000
rs9268231 lBF = `109.419` Chr`6` : `32,287,754`	0.582	0.418	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.582	0.418	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.582	0.418	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.581	0.419	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.581	0.419	0.000
rs77923412 lBF = `11.2716` Chr`3` : `101,886,745`	0.580	0.419	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.580	0.420	0.000
rs9268125 lBF = `86.2747` Chr`6` : `32,252,678`	0.580	0.420	0.000
rs9257182 lBF = `117.786` Chr`6` : `28,754,817`	0.579	0.420	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.579	0.421	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.579	0.421	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.579	0.421	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.578	0.422	0.000
rs7341328 lBF = `77.795` Chr`6` : `32,275,194`	0.578	0.422	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.577	0.423	0.000
rs9468508 lBF = `23.4669` Chr`6` : `29,253,756`	0.577	0.423	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.577	0.423	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.576	0.424	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.576	0.424	0.000
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.576	0.424	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.576	0.424	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.575	0.425	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.575	0.425	0.000
rs9268220 lBF = `115.296` Chr`6` : `32,284,340`	0.575	0.425	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.575	0.425	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.574	0.426	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.574	0.426	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.574	0.426	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.574	0.426	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.574	0.426	0.000
rs5030965 lBF = `7.66452` Chr`6` : `27,216,699`	0.574	0.426	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.573	0.427	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.573	0.427	0.000
rs7946859 lBF = `7.10019` Chr`11` : `60,640,227`	0.000	0.427	0.573
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.572	0.428	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.572	0.428	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.572	0.428	0.000
rs72948168 lBF = `6.34748` Chr`2` : `159,761,508`	0.572	0.428	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.571	0.428	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.571	0.429	0.000
rs116485796 lBF = `8.88422` Chr`3` : `133,612,103`	0.571	0.429	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.571	0.429	0.000
rs28732201 lBF = `63.8841` Chr`6` : `32,350,454`	0.570	0.429	0.000
rs116394723 lBF = `5.07504` Chr`5` : `39,341,009`	0.570	0.429	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.570	0.430	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.570	0.430	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.570	0.430	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.000	0.430	0.570
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.570	0.430	0.000
rs57142672 lBF = `2.05332` Chr`1` : `17,744,536`	0.569	0.430	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.569	0.430	0.000
rs28895243 lBF = `68.4375` Chr`6` : `32,443,799`	0.569	0.431	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.569	0.431	0.000
rs28732236 lBF = `68.0491` Chr`6` : `32,430,976`	0.569	0.431	0.000
rs564398 lBF = `152.203` Chr`9` : `22,029,547`	0.569	0.431	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.569	0.431	0.000
rs11758636 lBF = `6.63593` Chr`6` : `27,229,561`	0.568	0.431	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.568	0.432	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.568	0.432	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.568	0.432	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.568	0.432	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.568	0.432	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.567	0.433	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.566	0.434	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.566	0.434	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.566	0.434	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.566	0.434	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.566	0.434	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.566	0.434	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.565	0.434	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.565	0.435	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.565	0.435	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.564	0.435	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.564	0.435	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.564	0.436	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.564	0.436	0.000
rs111834747 lBF = `248.946` Chr`6` : `32,492,866`	0.564	0.436	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.564	0.436	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.563	0.436	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.563	0.437	0.000
rs28732233 lBF = `67.2768` Chr`6` : `32,427,699`	0.563	0.437	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.563	0.437	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.563	0.437	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.563	0.437	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.563	0.437	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.562	0.437	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.562	0.438	0.000
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rs615552 lBF = `132.45` Chr`9` : `22,026,077`	0.522	0.478	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.522	0.478	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.522	0.478	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.521	0.478	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.521	0.479	0.000
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	0.521	0.479	0.000
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.521	0.479	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.521	0.479	0.000
rs2232423 lBF = `201.397` Chr`6` : `28,366,151`	0.520	0.479	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.520	0.480	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.520	0.480	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.520	0.480	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.520	0.480	0.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.520	0.480	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.520	0.480	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.519	0.480	0.000
rs13198474 lBF = `116.097` Chr`6` : `25,874,423`	0.519	0.481	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.518	0.481	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.518	0.481	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.518	0.482	0.000
rs2517862 lBF = `169.608` Chr`6` : `29,821,937`	0.518	0.482	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.518	0.482	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.518	0.482	0.000
rs9268923 lBF = `248.283` Chr`6` : `32,432,835`	0.518	0.482	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.516	0.484	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.515	0.485	0.000
rs1559873 lBF = `85.3626` Chr`6` : `32,243,129`	0.515	0.485	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.515	0.485	0.000
rs204999 lBF = `225.279` Chr`6` : `32,109,979`	0.514	0.485	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.514	0.486	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.514	0.486	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.514	0.486	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.514	0.486	0.000
rs111461772 lBF = `26.9073` Chr`6` : `33,373,953`	0.514	0.486	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.514	0.486	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.514	0.486	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.514	0.486	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.514	0.486	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.514	0.486	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.514	0.486	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.514	0.486	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.514	0.486	0.000
rs76086850 lBF = `17.5203` Chr`6` : `152,508,097`	0.514	0.486	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.514	0.486	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.514	0.486	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.514	0.486	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.514	0.486	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.514	0.486	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.514	0.486	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.514	0.486	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.514	0.486	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.514	0.486	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.514	0.486	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.514	0.486	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.514	0.486	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.514	0.486	0.000
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.514	0.486	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.513	0.486	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.513	0.486	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.513	0.486	0.000
rs7545047 lBF = `5.30446` Chr`1` : `162,191,103`	0.513	0.486	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.513	0.486	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.513	0.486	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.513	0.486	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.513	0.487	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.513	0.487	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.513	0.487	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.513	0.487	0.000
rs72960692 lBF = `13.056` Chr`1` : `43,467,276`	0.513	0.487	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.513	0.487	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.513	0.487	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.513	0.487	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.513	0.487	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.513	0.487	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.513	0.487	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.513	0.487	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.513	0.487	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.513	0.487	0.000
rs17612576 lBF = `440.731` Chr`6` : `32,615,458`	0.000	0.487	0.513
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.513	0.487	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.513	0.487	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.513	0.487	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.513	0.487	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.513	0.487	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.513	0.487	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.513	0.487	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.513	0.487	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.513	0.487	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.513	0.487	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.513	0.487	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.513	0.487	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.513	0.487	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.512	0.487	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 X0027

log Bayes Factor = 25.8087

contains 2 variants

0.5566

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4928

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.2502

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2425

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.0938

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9701

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9386

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8493

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8452

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8140

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8108

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7598

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7569

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7212

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7168

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7167

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7167

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7164

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7161

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7160

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7160

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7155

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7131

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7120

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7106

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7098

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7088

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7068

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7056

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7052

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7022

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7007

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6991

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6988

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6976

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6974

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6970

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6903

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6898

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6883

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6880

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6863

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6858

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6850

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6849

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6819

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6798

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6740

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6687

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6685

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6678

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6663

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6644

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6637

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6585

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6570

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6565

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6563

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6560

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6538

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6537

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6530

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6520

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6510

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6452

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6430

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6428

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6340

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6336

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6330

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6328

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6318

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6283

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6280

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6277

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6269

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6234

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6222

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6216

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6209

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6204

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6196

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6193

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6170

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6165

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6155

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6144

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6133

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6108

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6093

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6066

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6062

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6059

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5992

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5988

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5946

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5898

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5884

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5857

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5855

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5850

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5807

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5796

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5792

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5762

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5756

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5703

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5697

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5695

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5665

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5646

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5643

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5638

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5603

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5544

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5489

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5475

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5376

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.5232

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5195

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5159

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5140

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5140

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5140

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5140

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5139

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5139

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5138

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5137

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5137

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5135

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5133

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5128

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5124

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5114

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5102

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5091

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5076

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5072

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5056

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4999

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4931

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4897

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4856

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4848

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4823

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4714

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4553

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4516

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4470

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4334

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4272

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.4229

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4212

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4141

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4047

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4028

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4020

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3983

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.3904

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3895

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3814

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3810

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3742

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3655

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3638

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3634

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3621

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3492

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3311

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3297

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2972

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2963

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2947

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2922

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2864

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2727

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2607

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2403

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2032

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1731

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1630

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1610

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1344

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1126

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0964

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.0852

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`)