TreeWAS – [Z41.0] Hair transplant

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
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.704	0.296	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.702	0.298	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.683	0.317	0.000
rs7726354 lBF = `16.6785` Chr`5` : `56,256,483`	0.681	0.319	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.679	0.320	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.674	0.326	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.666	0.334	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.666	0.334	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.665	0.335	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.662	0.338	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.661	0.338	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.660	0.340	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.659	0.341	0.000
rs2229882 lBF = `21.8948` Chr`5` : `56,168,712`	0.658	0.342	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.657	0.343	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.655	0.344	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.653	0.346	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.650	0.350	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.649	0.351	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.645	0.355	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.643	0.357	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.640	0.360	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.639	0.360	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.638	0.362	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.635	0.365	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.634	0.366	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.634	0.366	0.000
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.632	0.368	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.629	0.371	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.626	0.374	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.624	0.376	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.624	0.376	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.620	0.380	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.618	0.382	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.617	0.383	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.616	0.383	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.616	0.384	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.614	0.386	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.611	0.389	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.610	0.390	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.609	0.390	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.608	0.392	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.607	0.393	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.606	0.394	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.606	0.394	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.605	0.395	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.603	0.397	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.603	0.397	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.603	0.397	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.603	0.397	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.602	0.398	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.601	0.399	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.600	0.400	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.599	0.400	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.599	0.401	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.599	0.401	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.598	0.402	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.597	0.403	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.596	0.404	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.596	0.404	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.596	0.404	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.596	0.404	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.594	0.406	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.594	0.406	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.593	0.406	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.593	0.407	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.593	0.407	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.592	0.408	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.592	0.408	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.590	0.410	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.589	0.411	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.588	0.412	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.587	0.413	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.587	0.413	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.586	0.414	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.586	0.414	0.000
rs150097632 lBF = `16.4138` Chr`21` : `40,688,518`	0.585	0.414	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.585	0.415	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.585	0.415	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.585	0.415	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.585	0.415	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.585	0.415	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.584	0.416	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.584	0.416	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.582	0.418	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.582	0.418	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.582	0.418	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.581	0.418	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.581	0.419	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.581	0.419	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.581	0.419	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.579	0.421	0.000
rs7516789 lBF = `13.6841` Chr`1` : `67,945,956`	0.578	0.421	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.578	0.421	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.578	0.422	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.578	0.422	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.576	0.423	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.576	0.423	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.576	0.424	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.575	0.425	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.574	0.426	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.574	0.426	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.574	0.426	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.573	0.426	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.573	0.427	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.573	0.427	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.573	0.427	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.573	0.427	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.573	0.427	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.572	0.428	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.572	0.428	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.570	0.430	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.570	0.430	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.570	0.430	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.569	0.430	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.569	0.431	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.569	0.431	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.567	0.433	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.567	0.433	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.567	0.433	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.567	0.433	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.566	0.434	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.566	0.434	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.566	0.434	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.566	0.434	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.565	0.434	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.565	0.434	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.564	0.436	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.564	0.436	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.564	0.436	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.564	0.436	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.563	0.436	0.000
rs7726414 lBF = `7.38602` Chr`5` : `133,431,834`	0.563	0.437	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.563	0.437	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.563	0.437	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.562	0.437	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.562	0.438	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.562	0.438	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.562	0.438	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.562	0.438	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.561	0.439	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.561	0.439	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.560	0.439	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.560	0.439	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.560	0.440	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.560	0.440	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.559	0.441	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.558	0.442	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.557	0.443	0.000
rs12067906 lBF = `4.52198` Chr`1` : `192,431,998`	0.557	0.443	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.556	0.443	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.556	0.444	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.555	0.444	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.555	0.445	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.555	0.445	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.554	0.446	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.554	0.446	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.554	0.446	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.554	0.446	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.554	0.446	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.553	0.447	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.553	0.447	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.553	0.447	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.552	0.448	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.551	0.449	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.550	0.450	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.550	0.450	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.550	0.450	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.550	0.450	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.549	0.450	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.549	0.450	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.549	0.450	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.549	0.451	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.548	0.451	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.547	0.452	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.547	0.453	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.546	0.454	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.546	0.454	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.545	0.455	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.545	0.455	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.544	0.455	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.544	0.456	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.544	0.456	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.544	0.456	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.543	0.456	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.543	0.457	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.543	0.457	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.542	0.457	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.541	0.459	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.541	0.459	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.541	0.459	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.540	0.459	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.540	0.460	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.540	0.460	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.540	0.460	0.000
rs10185178 lBF = `4.19488` Chr`2` : `171,356,274`	0.000	0.460	0.540
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.540	0.460	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.540	0.460	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.539	0.460	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.539	0.461	0.000
rs1017226 lBF = `12.4091` Chr`5` : `56,153,392`	0.539	0.461	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.539	0.461	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.538	0.461	0.000
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rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.490	0.509	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.490	0.509	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.490	0.510	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.489	0.510	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.489	0.510	0.000
rs78755503 lBF = `26.9163` Chr`5` : `115,756,616`	0.489	0.510	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.489	0.511	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.489	0.511	0.000
rs116869525 lBF = `4.44373` Chr`6` : `32,389,143`	0.489	0.511	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.489	0.511	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.488	0.511	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.488	0.512	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.488	0.512	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.488	0.512	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.488	0.512	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.488	0.512	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.487	0.512	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.487	0.512	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.487	0.513	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.487	0.513	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.487	0.513	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.487	0.513	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.487	0.513	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.486	0.513	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.486	0.513	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.486	0.513	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.486	0.514	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.486	0.514	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.486	0.514	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.485	0.515	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.485	0.515	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.485	0.515	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.485	0.515	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.485	0.515	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.515	0.485
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.485	0.515	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.484	0.516	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.484	0.516	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.484	0.516	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.484	0.516	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.484	0.516	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.483	0.516	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.483	0.516	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.483	0.516	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.483	0.516	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.483	0.517	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.483	0.517	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.483	0.517	0.000
rs10275663 lBF = `4.99211` Chr`7` : `50,797,685`	0.482	0.517	0.000
rs12109285 lBF = `4.39094` Chr`5` : `21,749,348`	0.482	0.517	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.482	0.518	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.482	0.518	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.482	0.518	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.482	0.518	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.482	0.518	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.482	0.518	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.482	0.518	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.481	0.518	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.481	0.519	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.481	0.519	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.481	0.519	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.481	0.519	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.481	0.519	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.481	0.519	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.480	0.519	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.480	0.519	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.480	0.520	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.480	0.520	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.480	0.520	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.480	0.520	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.480	0.520	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.480	0.520	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.479	0.520	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.479	0.520	0.000
rs117824799 lBF = `22.345` Chr`11` : `43,752,296`	0.479	0.521	0.000
rs189845032 lBF = `4.6421` Chr`5` : `66,373,884`	0.479	0.521	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.479	0.521	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.479	0.521	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.479	0.521	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.478	0.521	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.478	0.522	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.478	0.522	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.478	0.522	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.478	0.522	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.478	0.522	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.478	0.522	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.477	0.522	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.477	0.523	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.477	0.523	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.477	0.523	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.476	0.523	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.476	0.523	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.476	0.524	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.476	0.524	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.475	0.524	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

0.5222

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4847

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7167

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7102

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6999

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6929

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6914

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6740

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6711

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6664

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6591

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6465

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6127

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5737

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5660

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5650

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5607

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5552

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5523

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5503

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5474

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5465

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5458

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5451

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5415

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5246

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5206

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5186

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5034

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5028

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4916

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4580

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4557

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4554

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4450

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4432

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4429

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4411

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4264

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4258

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4251

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4228

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4221

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4216

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4173

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4168

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4126

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4059

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4024

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3986

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3962

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3917

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3910

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3888

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3846

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3831

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3812

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3787

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3665

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3541

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3515

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3513

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3506

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3462

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3442

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3425

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3386

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3367

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3363

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3362

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3337

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3331

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3326

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3321

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3315

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3314

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3290

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3265

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3250

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3237

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3221

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3220

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3203

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3141

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3137

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3120

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3102

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3088

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3072

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3059

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3055

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3051

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3046

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3037

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3032

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3030

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3028

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3027

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3026

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3023

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3015

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3014

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3012

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3011

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3010

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3006

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3006

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3004

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3003

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3000

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2997

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2997

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2997

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2995

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2995

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2995

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2995

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2995

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2993

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2985

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2983

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2972

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2960

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2931

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2914

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2907

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2900

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2878

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2668

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2592

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2222

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2205

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2184

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2113

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2086

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2073

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2020

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1980

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1952

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1872

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1797

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1636

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1583

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1568

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1520

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1478

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1301

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1238

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1185

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1155

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1105

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1098

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1040

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0959

Cluster X0291

log Bayes Factor = 303.055

contains 4 variants

0.0806

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0765

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0698

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0590

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0522

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`)