TreeWAS – [M54.87] Other dorsalgia (Lumbosacral region)

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
rs7559850 lBF = `6.25029` Chr`2` : `69,648,520`	0.734	0.266	0.000
rs6546509 lBF = `8.67406` Chr`2` : `69,602,633`	0.732	0.268	0.000
rs6546511 lBF = `8.68057` Chr`2` : `69,615,295`	0.731	0.269	0.000
rs10221903 lBF = `5.99013` Chr`2` : `69,679,500`	0.723	0.277	0.000
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.648	0.352	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.637	0.363	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.632	0.367	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.610	0.390	0.000
rs10506458 lBF = `2.80462` Chr`12` : `63,445,092`	0.608	0.392	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.606	0.394	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.605	0.395	0.000
rs61772626 lBF = `10.1601` Chr`1` : `57,015,668`	0.599	0.401	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.595	0.404	0.000
rs78371551 lBF = `5.54553` Chr`2` : `12,631,328`	0.588	0.412	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.584	0.415	0.000
rs4590689 lBF = `6.35595` Chr`1` : `103,264,964`	0.000	0.416	0.584
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.581	0.419	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.580	0.420	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.570	0.429	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.568	0.431	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.568	0.432	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.566	0.433	0.000
rs72819097 lBF = `6.00972` Chr`2` : `78,461,082`	0.564	0.436	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.563	0.437	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.563	0.437	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.561	0.439	0.000
rs72819068 lBF = `7.79831` Chr`2` : `78,414,284`	0.561	0.439	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.559	0.441	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.558	0.442	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.557	0.443	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.555	0.445	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.554	0.445	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.554	0.446	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.553	0.447	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.552	0.448	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.551	0.448	0.000
rs12316797 lBF = `1.37316` Chr`12` : `43,160,744`	0.551	0.449	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.550	0.450	0.000
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.550	0.450	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.549	0.451	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.549	0.451	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.549	0.451	0.000
rs9469913 lBF = `16.491` Chr`6` : `34,827,085`	0.547	0.453	0.000
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.546	0.454	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.544	0.456	0.000
rs34509109 lBF = `14.2252` Chr`7` : `108,364,500`	0.544	0.456	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.543	0.457	0.000
rs8005334 lBF = `6.47865` Chr`14` : `79,563,654`	0.543	0.457	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.542	0.457	0.000
rs379440 lBF = `2.52889` Chr`5` : `111,693,371`	0.541	0.459	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.539	0.461	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.539	0.461	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.537	0.462	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.537	0.463	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.537	0.463	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.536	0.463	0.000
rs7729458 lBF = `5.89518` Chr`5` : `2,799,100`	0.535	0.465	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.533	0.466	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.533	0.467	0.000
rs13126505 lBF = `11.7035` Chr`4` : `102,865,304`	0.529	0.471	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.524	0.476	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.524	0.476	0.000
rs11773624 lBF = `6.07296` Chr`7` : `12,023,864`	0.524	0.476	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.524	0.476	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.522	0.477	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.521	0.479	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.520	0.480	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.519	0.481	0.000
rs34333163 lBF = `18.6428` Chr`4` : `103,283,117`	0.518	0.482	0.000
rs56198862 lBF = `5.18995` Chr`1` : `41,172,312`	0.516	0.484	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.516	0.484	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.515	0.484	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.515	0.485	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.515	0.485	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.515	0.485	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.514	0.486	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.514	0.486	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.514	0.486	0.000
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.514	0.486	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.514	0.486	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.514	0.486	0.000
rs35037499 lBF = `17.3291` Chr`1` : `79,616,733`	0.514	0.486	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.514	0.486	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.514	0.486	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.514	0.486	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.514	0.486	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.514	0.486	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.514	0.486	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.514	0.486	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.514	0.486	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.514	0.486	0.000
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.514	0.486	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.514	0.486	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.514	0.486	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.514	0.486	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.514	0.486	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.514	0.486	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.514	0.486	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.514	0.486	0.000
rs74880545 lBF = `7.69301` Chr`21` : `29,997,493`	0.514	0.486	0.000
rs2814982 lBF = `11.8908` Chr`6` : `34,546,560`	0.513	0.486	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.513	0.486	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.513	0.486	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.513	0.486	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.513	0.486	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.513	0.486	0.000
rs17564083 lBF = `5.59903` Chr`14` : `29,967,193`	0.513	0.486	0.000
rs76138999 lBF = `6.4088` Chr`5` : `102,029,219`	0.513	0.486	0.000
rs191655746 lBF = `3.59071` Chr`2` : `80,794,915`	0.513	0.486	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.513	0.486	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.513	0.486	0.000
rs117907111 lBF = `10.1965` Chr`11` : `85,235,298`	0.513	0.486	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.513	0.486	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.513	0.486	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.513	0.487	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.513	0.487	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.513	0.487	0.000
rs3806175 lBF = `11.6012` Chr`1` : `87,793,730`	0.513	0.487	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.513	0.487	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.513	0.487	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.513	0.487	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.513	0.487	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.513	0.487	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.513	0.487	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.513	0.487	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.513	0.487	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.513	0.487	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.513	0.487	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.513	0.487	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.513	0.487	0.000
rs3831366 lBF = `12.5792` Chr`1` : `1,334,052`	0.512	0.487	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.512	0.487	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.512	0.487	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.512	0.487	0.000
rs115352742 lBF = `19.2314` Chr`5` : `133,828,896`	0.512	0.487	0.000
rs9310385 lBF = `12.836` Chr`3` : `11,611,146`	0.512	0.488	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.512	0.488	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.512	0.488	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.512	0.488	0.000
rs34026679 lBF = `10.6117` Chr`21` : `27,248,814`	0.512	0.488	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.512	0.488	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.512	0.488	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.512	0.488	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.512	0.488	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.512	0.488	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.512	0.488	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.512	0.488	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.512	0.488	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.512	0.488	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.512	0.488	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.512	0.488	0.000
rs16875528 lBF = `3.20941` Chr`4` : `24,308,079`	0.512	0.488	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.511	0.488	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.511	0.488	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.511	0.488	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.511	0.488	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.511	0.488	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.511	0.488	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.511	0.488	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.511	0.489	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.511	0.489	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.511	0.489	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.511	0.489	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.511	0.489	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.511	0.489	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.511	0.489	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.511	0.489	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.511	0.489	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.511	0.489	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.511	0.489	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.511	0.489	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.511	0.489	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.510	0.489	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.510	0.489	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.510	0.489	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.510	0.489	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.510	0.489	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.510	0.489	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.490	0.510
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.510	0.490	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.510	0.490	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.510	0.490	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.510	0.490	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.510	0.490	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.510	0.490	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.510	0.490	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.510	0.490	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.510	0.490	0.000
rs17033506 lBF = `6.61563` Chr`3` : `35,639,826`	0.510	0.490	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.510	0.490	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.510	0.490	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.510	0.490	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.510	0.490	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.510	0.490	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.510	0.490	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.509	0.490	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.509	0.490	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.509	0.490	0.000
rs116485796 lBF = `8.88422` Chr`3` : `133,612,103`	0.509	0.490	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.509	0.491	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.509	0.491	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.509	0.491	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.509	0.491	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.509	0.491	0.000
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rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.492	0.507	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.492	0.508	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.492	0.508	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.492	0.508	0.000
rs111969884 lBF = `19.4433` Chr`6` : `12,904,138`	0.492	0.508	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.492	0.508	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.492	0.508	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.492	0.508	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.492	0.508	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.491	0.509	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.491	0.509	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.491	0.509	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.491	0.509	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.491	0.509	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.491	0.509	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.491	0.509	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	0.491	0.509	0.000
rs117064875 lBF = `12.0836` Chr`11` : `28,313,112`	0.490	0.509	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.490	0.509	0.000
rs147786325 lBF = `1.81622` Chr`3` : `70,725,902`	0.490	0.509	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.490	0.509	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.490	0.509	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.490	0.510	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.490	0.510	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.490	0.510	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.489	0.510	0.000
rs17130931 lBF = `5.74152` Chr`1` : `90,387,054`	0.489	0.510	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.489	0.511	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.489	0.511	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.489	0.511	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.488	0.511	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.488	0.512	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.488	0.512	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.488	0.512	0.000
rs5030965 lBF = `7.66452` Chr`6` : `27,216,699`	0.488	0.512	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.488	0.512	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.488	0.512	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.487	0.512	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.487	0.512	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.487	0.513	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.487	0.513	0.000
rs41527949 lBF = `5.62004` Chr`3` : `97,728,775`	0.487	0.513	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.487	0.513	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.487	0.513	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.486	0.513	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.486	0.514	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.486	0.514	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.486	0.514	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.486	0.514	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.486	0.514	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.486	0.514	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.485	0.514	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.485	0.515	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.485	0.515	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.485	0.515	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.484	0.515	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.484	0.515	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.484	0.515	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.484	0.516	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.484	0.516	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.484	0.516	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.484	0.516	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.484	0.516	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.484	0.516	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.484	0.516	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.484	0.516	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.483	0.516	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.483	0.516	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.483	0.516	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.483	0.517	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.483	0.517	0.000
rs980952 lBF = `1.45621` Chr`11` : `41,225,954`	0.483	0.517	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.483	0.517	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.483	0.517	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.482	0.517	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.482	0.517	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.482	0.518	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.482	0.518	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.481	0.518	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.481	0.518	0.000
rs2862035 lBF = `1.4402` Chr`11` : `41,225,433`	0.481	0.518	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.481	0.518	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.481	0.519	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.481	0.519	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.481	0.519	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.481	0.519	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.481	0.519	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.481	0.519	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.481	0.519	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.481	0.519	0.000
rs77135516 lBF = `13.8756` Chr`1` : `229,994,958`	0.480	0.519	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.480	0.519	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.480	0.520	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.480	0.520	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.7512

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6967

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6792

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6367

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6316

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6305

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6272

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6236

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6227

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6217

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6172

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6163

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6156

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6139

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6128

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6106

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6073

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5977

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5927

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5910

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5872

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5823

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5819

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5811

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5768

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5679

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5667

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5664

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5616

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5508

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5480

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5403

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5206

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5203

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5183

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5140

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5140

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5140

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5140

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5140

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5140

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5140

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5140

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5140

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5140

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5140

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5140

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5140

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5140

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5140

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5140

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5140

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5140

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5140

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5140

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5139

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5139

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5139

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5139

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5139

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5139

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5138

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5138

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5138

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5138

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5137

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5137

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5137

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5137

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5136

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5136

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5135

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5135

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5133

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5133

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5131

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5130

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5129

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5127

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5126

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5114

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5105

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5102

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5098

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5093

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5088

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5079

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5077

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5077

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5054

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5045

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5035

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5032

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5014

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5014

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5001

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5000

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4993

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4988

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4981

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4974

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4971

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4962

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4957

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4956

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4950

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4948

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4890

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4858

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4805

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4803

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4751

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4739

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4724

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4640

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4629

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4618

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4533

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.4533

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4421

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4392

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4383

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.4338

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4319

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4315

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4284

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4240

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4231

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4145

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4073

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4057

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4010

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3896

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.3853

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3803

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3787

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3602

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3584

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3404

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3098

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2910

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2866

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2729

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2698

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2606

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2564

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2445

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2387

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2303

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2270

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2211

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2186

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2163

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2125

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2108

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1716

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1685

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1652

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1541

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1521

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1501

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1391

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1387

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1365

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1342

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1322

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1312

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1268

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1115

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1092

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1040

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0961

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0946

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.0941

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0730

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0703

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0698

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0672

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`)