TreeWAS – [M80.0] Postmenopausal osteoporosis with pathological fracture

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs2518568 lBF = `6.95938` Chr`1` : `159,092,667`	0.868	0.132	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.843	0.157	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.829	0.171	0.000
rs72798117 lBF = `5.28699` Chr`5` : `107,325,940`	0.814	0.186	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.794	0.206	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.785	0.215	0.000
rs2765220 lBF = `145.929` Chr`6` : `28,769,671`	0.784	0.216	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.782	0.218	0.000
rs1841972 lBF = `5.58229` Chr`5` : `121,796,138`	0.779	0.221	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.775	0.225	0.000
rs209181 lBF = `143.701` Chr`6` : `28,792,477`	0.770	0.230	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.763	0.237	0.000
rs17496332 lBF = `5.12119` Chr`1` : `107,546,375`	0.761	0.239	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.756	0.244	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.754	0.245	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.752	0.248	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.750	0.250	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.747	0.253	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.747	0.253	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.747	0.253	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.742	0.258	0.000
rs1107160 lBF = `16.6018` Chr`6` : `28,671,422`	0.740	0.260	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.736	0.264	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.732	0.268	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.729	0.271	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.727	0.273	0.000
rs9257182 lBF = `117.786` Chr`6` : `28,754,817`	0.727	0.273	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.726	0.274	0.000
rs3129683 lBF = `143.965` Chr`6` : `29,286,670`	0.726	0.274	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.726	0.274	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.722	0.278	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.722	0.278	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.720	0.280	0.000
rs11752591 lBF = `9.67572` Chr`6` : `91,507,965`	0.719	0.281	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.718	0.281	0.000
rs6901325 lBF = `11.8063` Chr`6` : `28,675,630`	0.718	0.282	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.717	0.283	0.000
rs2335077 lBF = `7.4893` Chr`1` : `107,573,565`	0.716	0.284	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.715	0.285	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.714	0.286	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.714	0.286	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.710	0.290	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.709	0.291	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.707	0.293	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.707	0.293	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.706	0.293	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.705	0.295	0.000
rs17398081 lBF = `15.3638` Chr`6` : `28,724,852`	0.704	0.296	0.000
rs4148876 lBF = `32.3961` Chr`6` : `32,796,793`	0.704	0.296	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.703	0.297	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.703	0.297	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.703	0.297	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.700	0.300	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.700	0.300	0.000
rs10046456 lBF = `6.50753` Chr`6` : `151,125,251`	0.700	0.300	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.699	0.301	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.699	0.301	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.699	0.301	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.698	0.302	0.000
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.698	0.302	0.000
rs77611086 lBF = `14.008` Chr`5` : `170,553,290`	0.698	0.302	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.696	0.304	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.695	0.305	0.000
rs9948 lBF = `1.28624` Chr`2` : `97,500,800`	0.690	0.310	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.689	0.311	0.000
rs12038826 lBF = `1.35613` Chr`1` : `230,922,951`	0.689	0.311	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.689	0.311	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.682	0.318	0.000
rs9491891 lBF = `4.23462` Chr`6` : `128,277,151`	0.681	0.319	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.681	0.319	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.680	0.320	0.000
rs1110446 lBF = `126.145` Chr`6` : `30,070,937`	0.680	0.320	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.676	0.324	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.676	0.324	0.000
rs1531046 lBF = `5.49776` Chr`2` : `84,550,396`	0.676	0.324	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.676	0.324	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.676	0.324	0.000
rs9468508 lBF = `23.4669` Chr`6` : `29,253,756`	0.675	0.325	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.673	0.327	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.671	0.329	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.670	0.330	0.000
rs2240071 lBF = `127.159` Chr`6` : `30,070,932`	0.668	0.332	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.668	0.332	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.666	0.334	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.665	0.335	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.664	0.336	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.664	0.336	0.000
rs34333163 lBF = `18.6428` Chr`4` : `103,283,117`	0.662	0.338	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.661	0.339	0.000
rs3817964 lBF = `26.9743` Chr`6` : `32,367,997`	0.660	0.340	0.000
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.659	0.341	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.657	0.343	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.656	0.344	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.654	0.345	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.654	0.346	0.000
rs77386029 lBF = `19.4286` Chr`6` : `24,998,665`	0.654	0.346	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.652	0.348	0.000
rs73185805 lBF = `2.62597` Chr`21` : `28,141,810`	0.651	0.349	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.651	0.349	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.651	0.349	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.649	0.351	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.649	0.351	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.647	0.353	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.647	0.353	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.646	0.354	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.645	0.355	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.643	0.357	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.643	0.357	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.643	0.357	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.641	0.359	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.640	0.360	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.639	0.361	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.639	0.361	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.638	0.362	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.636	0.363	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.636	0.364	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.636	0.364	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.635	0.364	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.634	0.366	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.634	0.366	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.634	0.366	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.633	0.366	0.000
rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.633	0.367	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.633	0.367	0.000
rs3094604 lBF = `328.7` Chr`6` : `31,434,111`	0.632	0.368	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.632	0.368	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.631	0.369	0.000
rs7634487 lBF = `11.5118` Chr`3` : `21,580,556`	0.630	0.370	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.630	0.370	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.629	0.371	0.000
rs41277200 lBF = `10.0757` Chr`1` : `216,051,125`	0.629	0.371	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.628	0.372	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.628	0.372	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.628	0.372	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.627	0.373	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.627	0.373	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.627	0.373	0.000
rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.626	0.374	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.626	0.374	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.626	0.374	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.626	0.374	0.000
rs9268500 lBF = `35.1497` Chr`6` : `32,376,517`	0.625	0.375	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.625	0.375	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.625	0.375	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.624	0.376	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.624	0.376	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.624	0.376	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.624	0.376	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.623	0.377	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.623	0.377	0.000
rs3763305 lBF = `35.2118` Chr`6` : `32,369,488`	0.623	0.377	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.622	0.378	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.622	0.378	0.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.621	0.379	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.621	0.379	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.620	0.380	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.620	0.380	0.000
rs2523557 lBF = `89.8237` Chr`6` : `31,331,257`	0.619	0.380	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.619	0.381	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.619	0.381	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.619	0.381	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.619	0.381	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.618	0.382	0.000
rs241439 lBF = `96.0758` Chr`6` : `32,797,537`	0.618	0.382	0.000
rs115360810 lBF = `28.1258` Chr`6` : `32,796,310`	0.617	0.383	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.617	0.383	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.616	0.384	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.616	0.384	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.615	0.385	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.614	0.385	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.614	0.385	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.613	0.387	0.000
rs36103239 lBF = `71.5921` Chr`6` : `28,586,282`	0.613	0.387	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.612	0.388	0.000
rs75908454 lBF = `2.22788` Chr`6` : `169,970,623`	0.612	0.388	0.000
rs2857595 lBF = `92.5025` Chr`6` : `31,568,469`	0.611	0.389	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.610	0.390	0.000
rs4129843 lBF = `8.18025` Chr`1` : `215,987,222`	0.610	0.390	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.608	0.392	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.608	0.392	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.608	0.392	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.606	0.394	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.605	0.394	0.000
rs10490871 lBF = `6.36422` Chr`3` : `35,667,761`	0.605	0.395	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.605	0.395	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.605	0.395	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.604	0.396	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.604	0.396	0.000
rs10203166 lBF = `2.87971` Chr`2` : `59,789,705`	0.603	0.397	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.603	0.397	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.602	0.398	0.000
rs2524084 lBF = `215.728` Chr`6` : `31,241,639`	0.602	0.398	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.601	0.399	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.601	0.399	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.600	0.400	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.599	0.401	0.000
rs17130931 lBF = `5.74152` Chr`1` : `90,387,054`	0.599	0.401	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.598	0.402	0.000
rs56032526 lBF = `8.64126` Chr`1` : `216,011,361`	0.598	0.402	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.598	0.402	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.596	0.404	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.596	0.404	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.596	0.404	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.596	0.404	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.596	0.404	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.596	0.404	0.000
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rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.590	0.410	0.000
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rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.585	0.415	0.000
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rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.585	0.415	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.585	0.415	0.000
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rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.584	0.416	0.000
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rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.582	0.418	0.000
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rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.581	0.419	0.000
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rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.551	0.449	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.551	0.449	0.000
rs12524487 lBF = `43.9884` Chr`6` : `31,354,238`	0.551	0.449	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.550	0.449	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.550	0.450	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.550	0.450	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.550	0.450	0.000
rs3806175 lBF = `11.6012` Chr`1` : `87,793,730`	0.550	0.450	0.000
rs2596466 lBF = `50.0976` Chr`6` : `31,405,617`	0.550	0.450	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.549	0.451	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.548	0.451	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.548	0.452	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.548	0.452	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.548	0.452	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.548	0.452	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.548	0.452	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.548	0.452	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.547	0.452	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.547	0.453	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.547	0.453	0.000
rs2524280 lBF = `49.9065` Chr`6` : `31,416,990`	0.547	0.453	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.547	0.453	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.546	0.453	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.546	0.454	0.000
rs77292666 lBF = `7.58228` Chr`21` : `33,214,050`	0.546	0.454	0.000
rs17227203 lBF = `5.66998` Chr`21` : `36,415,707`	0.546	0.454	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.546	0.454	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.546	0.454	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.545	0.454	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.545	0.455	0.000
rs3749981 lBF = `57.4317` Chr`6` : `32,862,682`	0.545	0.455	0.000
rs2516424 lBF = `237.207` Chr`6` : `31,448,315`	0.545	0.455	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.544	0.455	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.544	0.456	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.544	0.456	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.544	0.456	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.544	0.456	0.000
rs56286522 lBF = `14.5169` Chr`1` : `99,517,636`	0.544	0.456	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.544	0.456	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.544	0.456	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.544	0.456	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.543	0.457	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.543	0.457	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.543	0.457	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.543	0.457	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.543	0.457	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.543	0.457	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.543	0.457	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.543	0.457	0.000
rs1679153 lBF = `6.7364` Chr`3` : `138,151,971`	0.542	0.458	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.542	0.458	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.542	0.458	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.541	0.459	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.541	0.459	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.541	0.459	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.541	0.459	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.541	0.459	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.540	0.460	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.540	0.460	0.000
rs3132390 lBF = `206.328` Chr`6` : `28,832,788`	0.540	0.460	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.540	0.460	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.540	0.460	0.000
rs1736915 lBF = `79.3983` Chr`6` : `29,704,316`	0.540	0.460	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.540	0.460	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.539	0.461	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.539	0.461	0.000
rs147686985 lBF = `6.61696` Chr`3` : `166,728,917`	0.539	0.461	0.000
rs62263033 lBF = `4.70416` Chr`3` : `48,370,424`	0.539	0.461	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.539	0.461	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.539	0.461	0.000
rs3129924 lBF = `114.495` Chr`6` : `32,333,299`	0.538	0.461	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.538	0.462	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.538	0.462	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.538	0.462	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.537	0.462	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.537	0.463	0.000
rs1264695 lBF = `122.611` Chr`6` : `30,067,892`	0.537	0.463	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.537	0.463	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.537	0.463	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.536	0.463	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.536	0.463	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.536	0.464	0.000
rs28780087 lBF = `50.2342` Chr`6` : `30,109,773`	0.536	0.464	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.536	0.464	0.000
rs116043458 lBF = `29.8674` Chr`6` : `31,716,436`	0.536	0.464	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.536	0.464	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.536	0.464	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.536	0.464	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.536	0.464	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.535	0.464	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.535	0.465	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.535	0.465	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.535	0.465	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

0.3595

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9770

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9765

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9751

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9732

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9430

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9367

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9175

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9089

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9030

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9029

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9013

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8993

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8966

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.8963

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8949

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8942

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8899

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8896

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8856

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8840

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8774

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8648

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8576

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8573

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8546

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8536

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8504

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8455

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8436

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8433

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8423

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8375

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8344

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8329

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8300

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.8254

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8252

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8244

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8204

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8158

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8150

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8112

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8079

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8019

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.8007

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7979

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7969

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7940

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7914

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7913

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7910

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7823

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7799

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7758

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7701

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7659

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7657

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7645

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7635

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7623

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7612

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7585

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7581

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7550

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7534

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7532

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7466

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7428

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7418

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7410

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7408

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7376

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7374

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7364

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7312

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7305

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7297

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7287

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7285

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7260

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7257

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7254

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7250

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7224

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7224

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7220

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7213

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7182

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7169

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7129

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7123

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7036

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7028

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7026

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6974

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6966

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6963

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6952

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6939

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6919

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6916

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6914

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6878

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6874

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6871

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6850

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6830

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6795

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6782

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6758

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6744

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6732

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6632

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6615

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6608

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6607

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6527

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6518

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6478

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6468

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6446

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6381

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.6373

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6341

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6313

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.6296

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6295

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6260

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.6248

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6242

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6236

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6227

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6227

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6186

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6135

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6084

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6059

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6044

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6009

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6005

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5973

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5966

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5875

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5864

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5855

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5816

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5805

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5801

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5745

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5729

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5722

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5700

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5692

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5671

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5668

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5666

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5606

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5575

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5555

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5528

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.5509

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5507

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5390

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5290

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5267

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5249

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5197

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5159

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5126

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5003

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4989

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4917

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4878

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4831

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4828

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4822

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4801

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4793

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4733

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4729

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4707

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4559

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4514

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4507

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4417

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.4400

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4281

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4246

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4217

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4155

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3966

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3889

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.3868

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3814

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3774

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3751

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3694

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3690

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3541

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3429

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3370

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3301

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3080

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3026

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.2990

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2976

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2957

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2847

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2791

Cluster X0291

log Bayes Factor = 303.055

contains 4 variants

0.2626

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2618

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.2595

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.2593

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2567

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2549

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2366

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2343

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1983

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1699

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1691

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1681

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1615

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1554

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1391

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1357

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1241

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1206

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.1038

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0708

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0682

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.0633

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.0598

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`)