TreeWAS – [C49.5] Connective and soft tissue of pelvis

Variant effects

Click on a variant to see its association results.

Download this figure in format

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
rs10069690 lBF = `39.1405` Chr`5` : `1,279,790`	0.737	0.262	0.001
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.730	0.270	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.727	0.273	0.000
rs72709458 lBF = `44.6062` Chr`5` : `1,283,755`	0.724	0.276	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.720	0.280	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.719	0.281	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.711	0.289	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.701	0.299	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.691	0.309	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.686	0.314	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.327	0.673
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.671	0.329	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.667	0.332	0.000
rs1853092 lBF = `13.3769` Chr`20` : `2,304,376`	0.657	0.343	0.000
rs10509168 lBF = `9.52928` Chr`10` : `64,257,828`	0.657	0.343	0.000
rs9276556 lBF = `47.6167` Chr`6` : `32,723,233`	0.653	0.347	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.646	0.354	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.644	0.356	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.638	0.362	0.000
rs9276555 lBF = `47.5727` Chr`6` : `32,722,754`	0.635	0.365	0.000
rs17229494 lBF = `5.20366` Chr`21` : `38,928,100`	0.634	0.366	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.626	0.374	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.622	0.378	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.000	0.383	0.617
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.613	0.387	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.612	0.388	0.000
rs77644898 lBF = `5.78522` Chr`1` : `234,899,258`	0.612	0.388	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.609	0.390	0.000
rs2395256 lBF = `171.011` Chr`6` : `32,728,588`	0.603	0.397	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.601	0.399	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.599	0.401	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.597	0.403	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.597	0.403	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.595	0.405	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.594	0.406	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.593	0.406	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.593	0.407	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.592	0.408	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.591	0.409	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.590	0.409	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.589	0.410	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.589	0.411	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.589	0.411	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.585	0.415	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.585	0.415	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.585	0.415	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.584	0.416	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.584	0.416	0.000
rs13016963 lBF = `27.0109` Chr`2` : `202,162,811`	0.000	0.417	0.583
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.582	0.418	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.581	0.418	0.000
rs2242652 lBF = `35.8732` Chr`5` : `1,280,028`	0.578	0.421	0.001
rs75893551 lBF = `10.605` Chr`11` : `107,090,471`	0.578	0.422	0.000
rs9276607 lBF = `45.6467` Chr`6` : `32,737,257`	0.578	0.422	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.576	0.423	0.000
rs7726159 lBF = `37.189` Chr`5` : `1,282,319`	0.576	0.424	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.576	0.424	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.575	0.425	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.572	0.428	0.000
rs2853676 lBF = `19.1781` Chr`5` : `1,288,547`	0.572	0.428	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.570	0.429	0.000
rs11601321 lBF = `4.40566` Chr`11` : `125,193,596`	0.570	0.429	0.000
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.569	0.431	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.568	0.431	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.567	0.433	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.567	0.433	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.567	0.433	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.565	0.435	0.000
rs6903823 lBF = `89.9101` Chr`6` : `28,322,296`	0.564	0.436	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.560	0.440	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.557	0.442	0.000
rs9276558 lBF = `162.631` Chr`6` : `32,724,061`	0.557	0.443	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.554	0.446	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.554	0.446	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.553	0.447	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.553	0.447	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.553	0.447	0.000
rs61901649 lBF = `7.32545` Chr`11` : `59,340,013`	0.550	0.450	0.000
rs34026679 lBF = `10.6117` Chr`21` : `27,248,814`	0.549	0.451	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.548	0.451	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.547	0.452	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.546	0.454	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.546	0.454	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.543	0.457	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.541	0.458	0.000
rs9275660 lBF = `44.9982` Chr`6` : `32,686,196`	0.541	0.459	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.538	0.462	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.538	0.462	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.537	0.463	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.537	0.463	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.536	0.464	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.535	0.465	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.535	0.465	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.534	0.466	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.534	0.466	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.534	0.466	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.533	0.467	0.000
rs6921919 lBF = `92.1777` Chr`6` : `28,325,201`	0.533	0.467	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.532	0.467	0.000
rs56131013 lBF = `87.9877` Chr`6` : `28,320,677`	0.531	0.469	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.531	0.469	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.530	0.470	0.000
rs56207248 lBF = `6.58472` Chr`2` : `25,065,986`	0.530	0.470	0.000
rs6922111 lBF = `93.7796` Chr`6` : `28,325,308`	0.530	0.470	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.529	0.471	0.000
rs6903652 lBF = `89.1572` Chr`6` : `28,322,120`	0.528	0.472	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.527	0.473	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.527	0.473	0.000
rs9276351 lBF = `43.5023` Chr`6` : `32,706,416`	0.527	0.473	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.527	0.473	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.526	0.474	0.000
rs72960692 lBF = `13.056` Chr`1` : `43,467,276`	0.526	0.474	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.525	0.475	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.525	0.475	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.524	0.475	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.524	0.475	0.000
rs2858884 lBF = `41.3957` Chr`6` : `32,700,083`	0.524	0.476	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.524	0.476	0.000
rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.524	0.476	0.000
rs2859090 lBF = `49.2713` Chr`6` : `32,700,833`	0.524	0.476	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.524	0.476	0.000
rs9461908 lBF = `53.4251` Chr`6` : `33,736,082`	0.523	0.476	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.523	0.477	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.523	0.477	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.522	0.478	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.522	0.478	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.522	0.478	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.522	0.478	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.522	0.478	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.521	0.479	0.000
rs17301128 lBF = `90.5348` Chr`6` : `28,308,034`	0.521	0.479	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.521	0.479	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.520	0.480	0.000
rs7725218 lBF = `34.4239` Chr`5` : `1,282,414`	0.519	0.481	0.000
rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.519	0.481	0.000
rs4849887 lBF = `3.59808` Chr`2` : `121,245,122`	0.518	0.482	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.518	0.482	0.000
rs6912584 lBF = `87.9417` Chr`6` : `28,309,590`	0.518	0.482	0.000
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.517	0.483	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.516	0.484	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.516	0.484	0.000
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.516	0.484	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.516	0.484	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.000	0.485	0.515
rs9391997 lBF = `28.785` Chr`6` : `409,119`	0.515	0.485	0.000
rs9275686 lBF = `40.9298` Chr`6` : `32,687,570`	0.515	0.485	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.514	0.486	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.513	0.487	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.513	0.487	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.512	0.487	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.512	0.488	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.512	0.488	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.512	0.488	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.511	0.488	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.511	0.489	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.511	0.489	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.509	0.490	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.509	0.491	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.509	0.491	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.508	0.491	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.508	0.491	0.000
rs2853677 lBF = `56.6519` Chr`5` : `1,287,194`	0.508	0.491	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.508	0.492	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.507	0.493	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.507	0.493	0.000
rs1012621 lBF = `9.74089` Chr`20` : `2,306,312`	0.000	0.493	0.507
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.506	0.494	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.506	0.494	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.505	0.494	0.000
rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.505	0.494	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.505	0.494	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.505	0.495	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.505	0.495	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.505	0.495	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.505	0.495	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.505	0.495	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.504	0.496	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.504	0.496	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.503	0.497	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.503	0.497	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.503	0.497	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.501	0.498	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.501	0.499	0.000
rs10493807 lBF = `10.1493` Chr`1` : `88,622,731`	0.501	0.499	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.500	0.500	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.500	0.500	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.499	0.500	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.499	0.500	0.000
rs9275659 lBF = `44.8216` Chr`6` : `32,686,103`	0.499	0.500	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.499	0.501	0.000
rs1687727 lBF = `8.86611` Chr`10` : `27,895,339`	0.499	0.501	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.498	0.502	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.497	0.503	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.497	0.503	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.496	0.504	0.000
rs3213485 lBF = `169.673` Chr`6` : `32,724,719`	0.496	0.504	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.495	0.505	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.495	0.505	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.495	0.505	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.494	0.505	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.494	0.506	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.494	0.506	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.494	0.506	0.000
rs55834529 lBF = `176.219` Chr`6` : `27,072,542`	0.493	0.507	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.492	0.507	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.492	0.508	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.492	0.508	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.492	0.508	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.492	0.508	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.491	0.508	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.491	0.509	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.491	0.509	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.490	0.509	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.490	0.510	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.490	0.510	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.489	0.511	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.488	0.512	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.488	0.512	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.488	0.512	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.488	0.512	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.487	0.513	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.487	0.513	0.000
rs538867 lBF = `1.14952` Chr`3` : `39,513,278`	0.487	0.513	0.000
rs2859078 lBF = `41.525` Chr`6` : `32,702,449`	0.487	0.513	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.487	0.513	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.487	0.513	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.486	0.513	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.486	0.514	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.486	0.514	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.486	0.514	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.486	0.514	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.486	0.514	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.485	0.515	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.484	0.515	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.484	0.515	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.484	0.515	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.484	0.516	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.484	0.516	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.483	0.516	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.483	0.517	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.482	0.518	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.482	0.518	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.481	0.518	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.481	0.518	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.481	0.519	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.480	0.519	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.480	0.520	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.480	0.520	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.480	0.520	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.480	0.520	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.480	0.520	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.480	0.520	0.000
rs2006165 lBF = `170.284` Chr`6` : `32,728,787`	0.479	0.521	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.479	0.521	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.479	0.521	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.479	0.521	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.479	0.521	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.479	0.521	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.478	0.521	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.478	0.522	0.000
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.000	0.522	0.478
rs12123821 lBF = `14.5195` Chr`1` : `152,179,152`	0.478	0.522	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.478	0.522	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.478	0.522	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.478	0.522	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.478	0.522	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.477	0.523	0.000
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.477	0.523	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.477	0.523	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.477	0.523	0.000
rs1060575 lBF = `10.7686` Chr`1` : `67,236,097`	0.476	0.524	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.476	0.524	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.476	0.524	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.475	0.524	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.475	0.524	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.475	0.524	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.475	0.524	0.000
rs112996116 lBF = `5.48142` Chr`3` : `132,260,187`	0.475	0.525	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.475	0.525	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.474	0.525	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.475	0.525	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.474	0.526	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.474	0.526	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.474	0.526	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.474	0.526	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.474	0.526	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.473	0.526	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.473	0.526	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.473	0.527	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.473	0.527	0.000
rs7772827 lBF = `79.203` Chr`6` : `28,301,143`	0.473	0.527	0.000
rs11230874 lBF = `4.32584` Chr`11` : `61,795,586`	0.473	0.527	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	0.473	0.527	0.000
rs12000445 lBF = `0.912959` Chr`9` : `23,426,271`	0.473	0.527	0.000
rs1119211 lBF = `88.6883` Chr`6` : `28,309,136`	0.472	0.528	0.000
rs56308049 lBF = `5.33128` Chr`18` : `27,976,836`	0.472	0.528	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.472	0.528	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.471	0.528	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.471	0.528	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.471	0.529	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.471	0.529	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.470	0.529	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.470	0.529	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.470	0.530	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.470	0.530	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.470	0.530	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.470	0.530	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.470	0.530	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.469	0.531	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.469	0.531	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.469	0.531	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.468	0.531	0.000
rs6928849 lBF = `5.07809` Chr`6` : `167,001,024`	0.468	0.531	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.468	0.531	0.000
rs9274253 lBF = `235.721` Chr`6` : `32,631,348`	0.468	0.532	0.000
rs61271866 lBF = `80.5256` Chr`9` : `21,997,015`	0.468	0.532	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.468	0.532	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.468	0.532	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.468	0.532	0.000
rs10181532 lBF = `9.15061` Chr`2` : `18,430,432`	0.467	0.532	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.467	0.532	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.467	0.533	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.467	0.533	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.467	0.533	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.467	0.533	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.466	0.534	0.000
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.466	0.534	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.466	0.534	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.466	0.534	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.466	0.534	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.465	0.534	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.465	0.534	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.465	0.535	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.465	0.535	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.465	0.535	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.465	0.535	0.000
rs57142672 lBF = `2.05332` Chr`1` : `17,744,536`	0.465	0.535	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.465	0.535	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.465	0.535	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.465	0.535	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.465	0.535	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.464	0.536	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.464	0.536	0.000
rs6916062 lBF = `69.9973` Chr`6` : `32,219,041`	0.464	0.536	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.464	0.536	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.464	0.536	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.464	0.536	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.464	0.536	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.464	0.536	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.463	0.536	0.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.463	0.536	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.463	0.536	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.463	0.537	0.000
rs2213572 lBF = `171.23` Chr`6` : `32,719,804`	0.463	0.537	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.463	0.537	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.463	0.537	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.463	0.537	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.463	0.537	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.463	0.537	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.463	0.537	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.463	0.537	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.462	0.538	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.462	0.538	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.461	0.538	0.000
rs2859071 lBF = `156.153` Chr`6` : `32,703,366`	0.462	0.538	0.000
rs9276490 lBF = `169.999` Chr`6` : `32,718,681`	0.462	0.538	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.461	0.539	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.461	0.539	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.461	0.539	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.461	0.539	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.461	0.539	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.461	0.539	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.461	0.539	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.461	0.539	0.000
rs9393714 lBF = `136.87` Chr`6` : `26,373,740`	0.461	0.539	0.000
rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.460	0.539	0.000
rs6903608 lBF = `251.273` Chr`6` : `32,428,285`	0.000	0.540	0.460
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.460	0.540	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.460	0.540	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.460	0.540	0.000
rs6902257 lBF = `8.36538` Chr`6` : `81,481,354`	0.460	0.540	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.459	0.540	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.459	0.540	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.459	0.541	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.459	0.541	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.459	0.541	0.000
rs6713543 lBF = `5.72841` Chr`2` : `1,635,176`	0.459	0.541	0.000
rs67340775 lBF = `199.939` Chr`6` : `28,304,384`	0.459	0.541	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.458	0.541	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.458	0.542	0.000
rs9468508 lBF = `23.4669` Chr`6` : `29,253,756`	0.458	0.542	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.458	0.542	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.457	0.542	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.457	0.543	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.457	0.543	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.457	0.543	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.457	0.543	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.456	0.543	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.456	0.543	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.456	0.543	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.456	0.544	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.456	0.544	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.456	0.544	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.456	0.544	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.456	0.544	0.000
Affx-21291542 lBF = `12.1623` Chr`3` : `141,344,672`	0.456	0.544	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.455	0.545	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.454	0.545	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.454	0.546	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.454	0.546	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.454	0.546	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.453	0.547	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.453	0.547	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.453	0.547	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.452	0.548	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.452	0.548	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.452	0.548	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.452	0.548	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.452	0.548	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.451	0.548	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.451	0.548	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.451	0.548	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.451	0.549	0.000
rs1408272 lBF = `43.5505` Chr`6` : `25,842,951`	0.451	0.549	0.000
rs12176317 lBF = `138.293` Chr`6` : `26,372,786`	0.451	0.549	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.451	0.549	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.451	0.549	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.450	0.549	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.450	0.550	0.000
rs6453218 lBF = `11.8766` Chr`5` : `75,712,103`	0.450	0.550	0.000
rs13198716 lBF = `173.951` Chr`6` : `26,582,035`	0.450	0.550	0.000
rs1370967 lBF = `2.26392` Chr`5` : `110,539,392`	0.450	0.550	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.450	0.550	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.450	0.550	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.449	0.551	0.000
rs17132883 lBF = `3.40941` Chr`5` : `110,502,429`	0.449	0.551	0.000
rs9276357 lBF = `44.734` Chr`6` : `32,706,559`	0.449	0.551	0.000
rs7726414 lBF = `7.38602` Chr`5` : `133,431,834`	0.449	0.551	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.448	0.552	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.448	0.552	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.448	0.552	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.448	0.552	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.448	0.552	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.448	0.552	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.447	0.553	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.447	0.553	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.447	0.553	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.447	0.553	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.447	0.553	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.447	0.553	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.447	0.553	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.447	0.553	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.446	0.554	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.446	0.554	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.446	0.554	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.446	0.554	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.446	0.554	0.000
rs1023448 lBF = `170.7` Chr`6` : `32,728,191`	0.446	0.554	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.446	0.554	0.000
rs6927022 lBF = `550.507` Chr`6` : `32,612,397`	0.446	0.554	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.446	0.554	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.446	0.554	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.446	0.554	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.445	0.554	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.445	0.554	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.445	0.554	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.444	0.556	0.000
rs79019069 lBF = `4.63997` Chr`3` : `148,481,023`	0.444	0.556	0.000
rs2213571 lBF = `169.161` Chr`6` : `32,719,937`	0.444	0.556	0.000
rs13217619 lBF = `199.852` Chr`6` : `28,306,671`	0.444	0.556	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.443	0.556	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.443	0.556	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.443	0.556	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.443	0.556	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.443	0.557	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.443	0.557	0.000
rs4388254 lBF = `6.9552` Chr`5` : `133,428,601`	0.443	0.557	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.443	0.557	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.443	0.557	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.443	0.557	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.442	0.558	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.442	0.558	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.442	0.558	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.442	0.558	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.442	0.558	0.000
rs73045695 lBF = `7.26665` Chr`3` : `177,547,836`	0.442	0.558	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.442	0.558	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.442	0.558	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.442	0.558	0.000
rs10931936 lBF = `43.6499` Chr`2` : `202,143,928`	0.442	0.558	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.442	0.558	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.441	0.558	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.441	0.558	0.000
rs2232423 lBF = `201.397` Chr`6` : `28,366,151`	0.441	0.558	0.000
rs77923412 lBF = `11.2716` Chr`3` : `101,886,745`	0.441	0.558	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.441	0.558	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.441	0.559	0.000
rs76485124 lBF = `10.1523` Chr`5` : `56,060,400`	0.441	0.559	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.441	0.559	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.441	0.559	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.3759

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2685

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.1793

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0934

Cluster X0313

log Bayes Factor = 43.6275

contains 4 variants

0.0792

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9675

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9036

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8920

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.8781

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8764

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.8708

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8645

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8613

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8575

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8548

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8538

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8473

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8437

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8432

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8292

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8284

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8234

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8220

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8190

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8185

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8103

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8031

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7983

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7927

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7906

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7869

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7859

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7780

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7775

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7738

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7674

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7647

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7637

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7578

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7168

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7152

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7142

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7142

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7128

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7122

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7082

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7075

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7050

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7034

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7024

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7022

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7014

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6980

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6967

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6942

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6893

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6798

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6789

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6783

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6772

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6769

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6765

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6752

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6741

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6647

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6619

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6566

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6563

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6559

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6543

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6521

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6500

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6481

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6464

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6408

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6408

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6376

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6310

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6295

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6284

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6270

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6264

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6221

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6192

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6176

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6171

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6159

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.6154

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6154

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6136

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6122

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6109

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6094

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6091

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6083

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6073

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6032

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6000

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5996

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5988

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5972

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5966

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5955

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5939

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5938

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5901

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5895

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5885

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5833

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5787

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5765

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5758

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5744

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5703

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5685

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5664

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5654

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5653

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5650

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5599

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5559

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5549

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5504

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5483

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5469

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5430

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5397

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5384

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5363

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5289

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5284

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5278

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5211

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5209

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5208

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5201

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5168

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5152

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5092

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5086

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5075

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5057

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5044

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5024

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5019

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4991

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4964

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4947

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4939

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4919

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4913

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4906

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4903

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4863

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4826

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4820

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4772

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4771

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4747

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4716

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4707

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4706

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4688

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4687

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4679

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4668

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4664

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4651

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4622

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4618

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4602

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4583

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4550

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4544

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4524

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4517

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4491

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4479

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4478

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4454

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4440

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.4422

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4391

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4341

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4295

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4250

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4246

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4210

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4154

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4090

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4074

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4056

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4020

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3971

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3968

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.3942

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3861

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3785

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3777

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3750

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3749

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3746

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3618

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3592

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.3538

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.3536

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3450

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.3384

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3291

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.3139

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3109

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2699

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2472

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2430

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1808

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1290

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1059

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0817

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`)