TreeWAS – [M80.00] Postmenopausal osteoporosis with pathological fracture (Multiple sites)

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
rs2518568 lBF = `6.95938` Chr`1` : `159,092,667`	0.816	0.184	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.785	0.215	0.000
rs72798117 lBF = `5.28699` Chr`5` : `107,325,940`	0.766	0.234	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.745	0.255	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.732	0.268	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.700	0.300	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.688	0.312	0.000
rs2765220 lBF = `145.929` Chr`6` : `28,769,671`	0.686	0.314	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.685	0.315	0.000
rs209181 lBF = `143.701` Chr`6` : `28,792,477`	0.679	0.321	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.674	0.326	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.672	0.328	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.671	0.329	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.668	0.332	0.000
rs1841972 lBF = `5.58229` Chr`5` : `121,796,138`	0.665	0.335	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.661	0.339	0.000
rs9257182 lBF = `117.786` Chr`6` : `28,754,817`	0.659	0.341	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.658	0.342	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.657	0.343	0.000
rs17496332 lBF = `5.12119` Chr`1` : `107,546,375`	0.652	0.348	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.645	0.355	0.000
rs1107160 lBF = `16.6018` Chr`6` : `28,671,422`	0.638	0.362	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.637	0.363	0.000
rs1110446 lBF = `126.145` Chr`6` : `30,070,937`	0.637	0.363	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.634	0.366	0.000
rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.631	0.369	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.630	0.370	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.629	0.371	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.626	0.374	0.000
rs2240071 lBF = `127.159` Chr`6` : `30,070,932`	0.626	0.374	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.618	0.382	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.618	0.382	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.616	0.384	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.614	0.386	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.614	0.386	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.611	0.389	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.609	0.391	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.608	0.392	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.608	0.392	0.000
rs17398081 lBF = `15.3638` Chr`6` : `28,724,852`	0.607	0.392	0.000
rs6901325 lBF = `11.8063` Chr`6` : `28,675,630`	0.607	0.393	0.000
rs12038826 lBF = `1.35613` Chr`1` : `230,922,951`	0.604	0.396	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.604	0.396	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.603	0.397	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.597	0.403	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.594	0.406	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.593	0.406	0.000
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.593	0.407	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.591	0.409	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.591	0.409	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.590	0.410	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.590	0.410	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.589	0.411	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.588	0.411	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.586	0.414	0.000
rs9491891 lBF = `4.23462` Chr`6` : `128,277,151`	0.586	0.414	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.583	0.417	0.000
rs9468508 lBF = `23.4669` Chr`6` : `29,253,756`	0.582	0.418	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.581	0.419	0.000
rs4148876 lBF = `32.3961` Chr`6` : `32,796,793`	0.580	0.420	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.579	0.421	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.579	0.421	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.579	0.421	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.578	0.422	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.577	0.423	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.576	0.424	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.572	0.428	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.572	0.428	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.572	0.428	0.000
rs2335077 lBF = `7.4893` Chr`1` : `107,573,565`	0.571	0.429	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.567	0.433	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.566	0.433	0.000
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.566	0.434	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.557	0.443	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.555	0.444	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.554	0.445	0.000
rs73185805 lBF = `2.62597` Chr`21` : `28,141,810`	0.554	0.446	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.554	0.446	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.551	0.448	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.551	0.449	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.542	0.458	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.540	0.460	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.537	0.463	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.537	0.463	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.536	0.464	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.535	0.465	0.000
rs1108052 lBF = `123.517` Chr`6` : `30,069,795`	0.535	0.465	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.533	0.467	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.533	0.467	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.533	0.467	0.000
rs36103239 lBF = `71.5921` Chr`6` : `28,586,282`	0.533	0.467	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.532	0.468	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.532	0.468	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.532	0.468	0.000
rs7634487 lBF = `11.5118` Chr`3` : `21,580,556`	0.532	0.468	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.531	0.469	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.531	0.469	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.530	0.470	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	0.529	0.471	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.529	0.471	0.000
rs41277200 lBF = `10.0757` Chr`1` : `216,051,125`	0.529	0.471	0.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.528	0.471	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.528	0.471	0.000
rs34333163 lBF = `18.6428` Chr`4` : `103,283,117`	0.527	0.473	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.527	0.473	0.000
rs1264702 lBF = `125.644` Chr`6` : `30,065,575`	0.527	0.473	0.000
rs9948 lBF = `1.28624` Chr`2` : `97,500,800`	0.527	0.473	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.527	0.473	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.527	0.473	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.526	0.474	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.524	0.476	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.523	0.476	0.000
rs10046456 lBF = `6.50753` Chr`6` : `151,125,251`	0.522	0.478	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.521	0.478	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.520	0.480	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.520	0.480	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.520	0.480	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.517	0.483	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.516	0.484	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.516	0.484	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.515	0.485	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.515	0.485	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.515	0.485	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.515	0.485	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.515	0.485	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.515	0.485	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.513	0.487	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.513	0.487	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.513	0.487	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.512	0.488	0.000
rs241439 lBF = `96.0758` Chr`6` : `32,797,537`	0.511	0.488	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.511	0.489	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.511	0.489	0.000
rs1264697 lBF = `126.609` Chr`6` : `30,067,568`	0.511	0.489	0.000
rs400547 lBF = `5.30378` Chr`6` : `31,702,710`	0.511	0.489	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.510	0.490	0.000
rs1264703 lBF = `126.619` Chr`6` : `30,065,416`	0.509	0.491	0.000
rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.508	0.491	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.508	0.492	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.507	0.493	0.000
rs2523557 lBF = `89.8237` Chr`6` : `31,331,257`	0.506	0.494	0.000
rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.506	0.494	0.000
rs1531046 lBF = `5.49776` Chr`2` : `84,550,396`	0.505	0.495	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.505	0.495	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.503	0.497	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.503	0.497	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.502	0.498	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.501	0.499	0.000
rs1633096 lBF = `97.5333` Chr`6` : `29,707,267`	0.501	0.499	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.500	0.500	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.499	0.500	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.499	0.501	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.499	0.501	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.498	0.502	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.498	0.502	0.000
rs3130048 lBF = `290.421` Chr`6` : `31,613,739`	0.497	0.503	0.000
rs1264695 lBF = `122.611` Chr`6` : `30,067,892`	0.496	0.504	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.496	0.504	0.000
rs74880545 lBF = `7.69301` Chr`21` : `29,997,493`	0.496	0.504	0.000
rs75908454 lBF = `2.22788` Chr`6` : `169,970,623`	0.495	0.505	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.495	0.505	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.494	0.506	0.000
rs4129843 lBF = `8.18025` Chr`1` : `215,987,222`	0.494	0.506	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.492	0.508	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.491	0.509	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.491	0.509	0.000
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.489	0.511	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.489	0.511	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.488	0.512	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.487	0.513	0.000
rs1736915 lBF = `79.3983` Chr`6` : `29,704,316`	0.487	0.513	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.487	0.513	0.000
rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.487	0.513	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.486	0.514	0.000
rs115360810 lBF = `28.1258` Chr`6` : `32,796,310`	0.486	0.514	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.486	0.514	0.000
rs241438 lBF = `109.368` Chr`6` : `32,797,620`	0.486	0.514	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.485	0.515	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.485	0.515	0.000
rs56032526 lBF = `8.64126` Chr`1` : `216,011,361`	0.484	0.516	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.484	0.516	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.484	0.516	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.483	0.517	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.483	0.517	0.000
rs4452638 lBF = `132.117` Chr`6` : `27,229,265`	0.483	0.517	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.483	0.517	0.000
rs17665462 lBF = `11.2129` Chr`3` : `117,325,769`	0.482	0.518	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.482	0.518	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.481	0.519	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.481	0.519	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.480	0.520	0.000
rs10203166 lBF = `2.87971` Chr`2` : `59,789,705`	0.479	0.520	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.479	0.521	0.000
rs145433814 lBF = `4.12345` Chr`2` : `60,126,311`	0.479	0.521	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.479	0.521	0.000
rs2524005 lBF = `110.105` Chr`6` : `29,899,677`	0.479	0.521	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.479	0.521	0.000
rs28780087 lBF = `50.2342` Chr`6` : `30,109,773`	0.478	0.522	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.478	0.522	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.478	0.522	0.000
rs28780089 lBF = `50.8465` Chr`6` : `30,115,946`	0.476	0.524	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.476	0.524	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.476	0.524	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.474	0.526	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.473	0.526	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.473	0.527	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.473	0.527	0.000
rs76010824 lBF = `0.505777` Chr`3` : `67,442,642`	0.472	0.528	0.000
rs10495783 lBF = `5.03744` Chr`2` : `33,401,632`	0.472	0.528	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.470	0.530	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.470	0.530	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.470	0.530	0.000
rs9468487 lBF = `19.8045` Chr`6` : `29,107,052`	0.469	0.531	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.469	0.531	0.000
rs3806175 lBF = `11.6012` Chr`1` : `87,793,730`	0.469	0.531	0.000
rs77386029 lBF = `19.4286` Chr`6` : `24,998,665`	0.469	0.531	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.469	0.531	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.468	0.532	0.000
rs3817964 lBF = `26.9743` Chr`6` : `32,367,997`	0.468	0.532	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.466	0.534	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.466	0.534	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.466	0.534	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.466	0.534	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.466	0.534	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.465	0.535	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.465	0.535	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.465	0.535	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.464	0.536	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.464	0.536	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.462	0.538	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.462	0.538	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.462	0.538	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.461	0.539	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.461	0.539	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.461	0.539	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.460	0.540	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.460	0.540	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.460	0.540	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.459	0.541	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.459	0.541	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.459	0.541	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.458	0.541	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.458	0.542	0.000
rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.457	0.543	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.457	0.543	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.457	0.543	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.457	0.543	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.457	0.543	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.456	0.544	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.456	0.544	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.456	0.544	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.456	0.544	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.456	0.544	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.456	0.544	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.456	0.544	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.456	0.544	0.000
rs9257794 lBF = `85.5688` Chr`6` : `29,335,661`	0.456	0.544	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.455	0.545	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.455	0.545	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.454	0.546	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.454	0.546	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.453	0.546	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.453	0.547	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.453	0.547	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.452	0.548	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.452	0.548	0.000
rs17130931 lBF = `5.74152` Chr`1` : `90,387,054`	0.451	0.548	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.451	0.548	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.450	0.550	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.450	0.550	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.450	0.550	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.450	0.550	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.450	0.550	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.450	0.550	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.449	0.550	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.449	0.551	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.449	0.551	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.449	0.551	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.449	0.551	0.000
rs3128987 lBF = `321.492` Chr`6` : `31,434,198`	0.448	0.551	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.448	0.552	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.448	0.552	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.448	0.552	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.448	0.552	0.000
rs77149735 lBF = `4.50866` Chr`1` : `243,555,105`	0.447	0.553	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.447	0.553	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.447	0.553	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.447	0.553	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.447	0.553	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.447	0.553	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.447	0.553	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.446	0.554	0.000
rs147686985 lBF = `6.61696` Chr`3` : `166,728,917`	0.446	0.554	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.446	0.554	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.446	0.554	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.446	0.554	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.445	0.555	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.445	0.555	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.445	0.555	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.445	0.555	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.445	0.555	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.445	0.555	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.444	0.555	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.444	0.556	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.444	0.556	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.444	0.556	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.443	0.557	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.443	0.557	0.000
rs9267798 lBF = `25.63` Chr`6` : `32,044,834`	0.442	0.558	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.442	0.558	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.442	0.558	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.442	0.558	0.000
rs1628578 lBF = `85.1639` Chr`6` : `29,695,502`	0.442	0.558	0.000
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.442	0.558	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.441	0.558	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.441	0.559	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.440	0.559	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.440	0.560	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.440	0.560	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.440	0.560	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.439	0.561	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.438	0.562	0.000
rs11677466 lBF = `0.96201` Chr`2` : `232,982,257`	0.438	0.562	0.000
rs45592033 lBF = `19.2031` Chr`6` : `32,162,559`	0.437	0.562	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.437	0.563	0.000
rs3132390 lBF = `206.328` Chr`6` : `28,832,788`	0.437	0.563	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.437	0.563	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.437	0.563	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.436	0.564	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.436	0.564	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.436	0.564	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.436	0.564	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.435	0.564	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.435	0.564	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.435	0.565	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.435	0.565	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.435	0.565	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.435	0.565	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.434	0.565	0.000
rs3094228 lBF = `155.879` Chr`6` : `31,429,927`	0.434	0.565	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.434	0.566	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.434	0.566	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.434	0.566	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.433	0.566	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.433	0.566	0.000
rs9268500 lBF = `35.1497` Chr`6` : `32,376,517`	0.433	0.567	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.433	0.567	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.433	0.567	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.432	0.568	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.432	0.568	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.432	0.568	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.432	0.568	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.431	0.568	0.000
rs3763305 lBF = `35.2118` Chr`6` : `32,369,488`	0.431	0.569	0.000
rs2523476 lBF = `8.49322` Chr`6` : `31,361,424`	0.000	0.569	0.431
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.431	0.569	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.430	0.569	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.430	0.570	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.430	0.570	0.000
rs4151672 lBF = `15.5949` Chr`6` : `31,919,830`	0.429	0.571	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.429	0.571	0.000
rs13219354 lBF = `133.323` Chr`6` : `27,185,664`	0.429	0.571	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.429	0.571	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.428	0.571	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.428	0.572	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.428	0.572	0.000
rs2524277 lBF = `19.2656` Chr`6` : `31,407,579`	0.000	0.572	0.427
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.427	0.573	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.427	0.573	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.427	0.573	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.427	0.573	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.427	0.573	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.427	0.573	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.426	0.574	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.426	0.574	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.426	0.574	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.426	0.574	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.425	0.575	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.425	0.575	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.425	0.575	0.000
rs116660070 lBF = `17.3726` Chr`3` : `19,939,758`	0.424	0.575	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.424	0.576	0.000
rs16894197 lBF = `73.6741` Chr`6` : `28,648,271`	0.424	0.576	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.424	0.576	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.423	0.577	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.423	0.577	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.423	0.577	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.422	0.577	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.422	0.577	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.422	0.577	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.422	0.578	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.422	0.578	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.422	0.578	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.422	0.578	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.421	0.579	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.421	0.579	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.421	0.579	0.000
rs13063872 lBF = `1.31572` Chr`3` : `71,464,335`	0.421	0.579	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.420	0.579	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.420	0.579	0.000
rs1481012 lBF = `25.0033` Chr`4` : `89,039,082`	0.420	0.580	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.420	0.580	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.420	0.580	0.000
rs9378249 lBF = `48.8892` Chr`6` : `31,327,701`	0.420	0.580	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.419	0.580	0.000
rs34406675 lBF = `23.4153` Chr`2` : `144,301,488`	0.419	0.581	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.419	0.581	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.419	0.581	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.419	0.581	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.419	0.581	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.419	0.581	0.000
rs17790731 lBF = `6.01635` Chr`5` : `94,983,529`	0.419	0.581	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.418	0.581	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.418	0.582	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.418	0.582	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.418	0.582	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.418	0.582	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.418	0.582	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.418	0.582	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.417	0.583	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.417	0.583	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.417	0.583	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.417	0.583	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.416	0.584	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.416	0.584	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.416	0.584	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.416	0.584	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.415	0.585	0.000
rs62263033 lBF = `4.70416` Chr`3` : `48,370,424`	0.415	0.585	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.415	0.585	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.414	0.585	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.415	0.585	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.414	0.586	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.414	0.586	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.414	0.586	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.414	0.586	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.414	0.586	0.000
rs3828923 lBF = `31.9633` Chr`6` : `29,590,715`	0.414	0.586	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.413	0.587	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.413	0.587	0.000
rs1245371 lBF = `83.0847` Chr`6` : `30,038,352`	0.413	0.587	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.413	0.587	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.413	0.587	0.000
rs4151669 lBF = `17.2055` Chr`6` : `31,915,144`	0.412	0.588	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.411	0.588	0.000
rs1233579 lBF = `197.386` Chr`6` : `28,712,663`	0.411	0.588	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.411	0.589	0.000
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.411	0.589	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.411	0.589	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.411	0.589	0.000
rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.411	0.589	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.411	0.589	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.411	0.589	0.000
rs2263323 lBF = `51.4038` Chr`6` : `31,401,466`	0.410	0.589	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.410	0.590	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.410	0.590	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.410	0.590	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.410	0.590	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.409	0.590	0.000
rs12215963 lBF = `20.8881` Chr`6` : `31,138,619`	0.409	0.590	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.409	0.590	0.000
rs1634714 lBF = `80.1762` Chr`6` : `30,951,561`	0.409	0.590	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.409	0.591	0.000
rs3095267 lBF = `105.681` Chr`6` : `29,607,046`	0.409	0.591	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.408	0.591	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.408	0.591	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.408	0.592	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.408	0.592	0.000
rs12524487 lBF = `43.9884` Chr`6` : `31,354,238`	0.408	0.592	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.408	0.592	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.408	0.592	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.407	0.593	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.407	0.593	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.407	0.593	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.406	0.593	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.406	0.593	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.406	0.593	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.406	0.594	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.406	0.594	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.406	0.594	0.000
rs116079955 lBF = `12.0849` Chr`5` : `127,696,604`	0.406	0.594	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.406	0.594	0.000
rs55834529 lBF = `176.219` Chr`6` : `27,072,542`	0.405	0.595	0.000
rs6934993 lBF = `86.6871` Chr`6` : `29,337,500`	0.405	0.595	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.405	0.595	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.405	0.595	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.405	0.595	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.404	0.595	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.404	0.595	0.000
rs1605834 lBF = `0.667956` Chr`2` : `22,576,100`	0.404	0.595	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.404	0.596	0.000
rs2524084 lBF = `215.728` Chr`6` : `31,241,639`	0.404	0.596	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.404	0.596	0.000
rs1679153 lBF = `6.7364` Chr`3` : `138,151,971`	0.404	0.596	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.404	0.596	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.404	0.596	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.404	0.596	0.000
rs7744212 lBF = `15.9284` Chr`6` : `112,275,639`	0.403	0.596	0.000
rs10480 lBF = `12.2881` Chr`1` : `150,280,546`	0.403	0.596	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.403	0.596	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 X0312

log Bayes Factor = 35.9944

contains 2 variants

0.2206

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9611

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9609

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9607

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9606

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9108

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8944

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.8858

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8786

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8719

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8511

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8478

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8472

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8465

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8458

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8378

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8310

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8289

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8286

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8224

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8178

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8050

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7984

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7954

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7754

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7704

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7603

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7584

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.7571

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7546

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7528

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7406

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7402

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7388

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7378

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7331

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7327

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7320

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7216

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7182

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7163

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7050

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7025

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7013

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6950

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6908

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6861

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6846

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.6833

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6811

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6805

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6793

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6788

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6771

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6761

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6749

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6704

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6692

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6608

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6589

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6574

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6468

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6447

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6419

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6405

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6402

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6393

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6329

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6326

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6314

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6310

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6226

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6219

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6208

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6181

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6180

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6133

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6128

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6117

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6036

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6035

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6020

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5987

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5961

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5957

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5943

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5932

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5885

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5873

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5847

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5847

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5821

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5796

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5789

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5768

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.5758

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5749

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5619

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5615

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5601

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5595

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5589

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5573

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5535

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.5534

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5433

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5421

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5416

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5408

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5402

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5379

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5337

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5325

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5307

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5192

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5110

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5107

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5094

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5068

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5044

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5021

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4992

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4973

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4971

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4907

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4878

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4871

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4852

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4846

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4846

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4804

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4750

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4721

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4650

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4645

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4590

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4580

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4546

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4510

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4488

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4480

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4457

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4386

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4326

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4319

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4277

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4241

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4236

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4108

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4102

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4084

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4081

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4072

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3971

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3863

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3834

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3777

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3765

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3758

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3757

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3732

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3712

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.3687

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3656

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3653

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3603

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3577

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3566

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3565

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3557

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3460

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3443

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3369

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3360

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3343

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3319

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3237

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3002

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2980

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2961

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2927

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2827

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2792

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2784

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2712

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2708

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2697

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2579

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2536

Cluster X0291

log Bayes Factor = 303.055

contains 4 variants

0.2527

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2488

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2484

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2452

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2415

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2413

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2266

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2212

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2201

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2096

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2077

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.1980

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1970

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.1890

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1795

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1679

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1604

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1547

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1376

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1240

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1177

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1082

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0946

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0916

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0889

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0855

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0827

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0771

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0766

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0690

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0655

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.0508

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`)