TreeWAS – [N95.9] Menopausal and perimenopausal disorder, unspecified

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
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.695	0.305	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.670	0.330	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.655	0.345	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.582	0.418	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.561	0.439	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.529	0.470	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.491	0.509	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.465	0.534	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.445	0.555	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.434	0.565	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.434	0.566	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.428	0.572	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.424	0.576	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.416	0.584	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.407	0.592	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.405	0.595	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.404	0.596	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.381	0.619	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.370	0.630	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.367	0.633	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.355	0.645	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.340	0.660	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.339	0.661	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.334	0.666	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.329	0.671	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.326	0.673	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.311	0.689	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.292	0.707	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.287	0.713	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.272	0.728	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.249	0.751	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.245	0.755	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.235	0.765	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.228	0.772	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.221	0.778	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.200	0.800	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.198	0.802	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.197	0.803	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.196	0.804	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.185	0.815	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.173	0.827	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.169	0.831	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.161	0.838	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.135	0.865	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.133	0.867	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.118	0.882	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.117	0.883	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.111	0.889	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.108	0.892	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.102	0.898	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.097	0.903	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.094	0.906	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.094	0.906	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.088	0.912	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.086	0.914	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.073	0.926	0.001
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.069	0.931	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.065	0.934	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.063	0.937	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.060	0.940	0.001
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.051	0.948	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.949	0.051
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.049	0.951	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.039	0.961	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.964	0.036
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.036	0.964	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.029	0.971	0.001
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.029	0.971	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.028	0.972	0.000
rs4875320 lBF = `-0.0133141` Chr`8` : `4,164,013`	0.027	0.973	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.026	0.974	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.023	0.977	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.016	0.978	0.006
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.016	0.984	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.014	0.985	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.012	0.988	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.012	0.988	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.011	0.989	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.010	0.989	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.010	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.009	0.991	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.009	0.991	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.008	0.991	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.008	0.992	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.007	0.993	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.007	0.993	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.007	0.993	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.007	0.993	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.006	0.993	0.000
rs7013415 lBF = `-0.0431174` Chr`8` : `73,038,451`	0.000	0.994	0.006
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.006	0.994	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.006	0.994	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.005	0.994	0.001
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.006	0.994	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.005	0.995	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.004	0.995	0.000
rs12541063 lBF = `-0.00270779` Chr`8` : `135,869,976`	0.000	0.996	0.004
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.000	0.996	0.004
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.004	0.996	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.004	0.996	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.001	0.996	0.003
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.004	0.996	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.000	0.996	0.003
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.003	0.996	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.003	0.997	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.003	0.997	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.003	0.997	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.000	0.997	0.003
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.003	0.997	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.003	0.997	0.000
rs7813489 lBF = `9.06018` Chr`8` : `25,749,405`	0.000	0.997	0.003
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.003	0.997	0.000
rs7007076 lBF = `-0.0491761` Chr`8` : `124,730,029`	0.000	0.997	0.003
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.002	0.997	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.002	0.998	0.001
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.002	0.998	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.002	0.998	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.998	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.002	0.998	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.002	0.998	0.001
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs1042992 lBF = `-0.0604619` Chr`8` : `26,269,191`	0.002	0.998	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.002	0.998	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.002	0.998	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.998	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.001	0.998	0.000
rs7006527 lBF = `21.6364` Chr`8` : `101,024,505`	0.000	0.998	0.002
rs2640806 lBF = `-0.0792365` Chr`8` : `97,369,634`	0.001	0.998	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.001	0.999	0.000
rs7826660 lBF = `5.40669` Chr`8` : `8,379,107`	0.001	0.999	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.001	0.999	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.001	0.999	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.001	0.999	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.999	0.001
rs1469039 lBF = `-0.0366272` Chr`8` : `140,651,779`	0.000	0.999	0.001
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.001	0.999	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.001	0.999	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.000	0.999	0.001
rs7818948 lBF = `21.8594` Chr`8` : `101,062,888`	0.000	0.999	0.001
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.999	0.001
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.001	0.999	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.001	0.999	0.000
rs804280 lBF = `0.196526` Chr`8` : `11,612,698`	0.001	0.999	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.001	0.999	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.001	0.999	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.001	0.999	0.000
rs11994034 lBF = `0.00002044` Chr`8` : `73,070,735`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs5029317 lBF = `-0.0208752` Chr`8` : `129,126,853`	0.001	0.999	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.001	0.999	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.001	0.999	0.000
rs10503779 lBF = `14.6968` Chr`8` : `25,743,428`	0.000	0.999	0.001
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.001	0.999	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.001	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.001
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs4735692 lBF = `-0.00154777` Chr`8` : `76,615,663`	0.000	0.999	0.001
rs4243849 lBF = `-0.0656984` Chr`8` : `136,713,137`	0.001	0.999	0.000
rs10101158 lBF = `-0.123915` Chr`8` : `142,881,966`	0.001	0.999	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.000	0.999	0.001
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.000	0.999	0.001
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
rs190951784 lBF = `0.00003382` Chr`8` : `25,131,523`	0.001	0.999	0.000
rs73318770 lBF = `0.00000446` Chr`8` : `74,362,915`	0.001	0.999	0.000
rs183191361 lBF = `0` Chr`8` : `76,083,247`	0.001	0.999	0.001
rs79781504 lBF = `0` Chr`8` : `84,750,057`	0.001	0.999	0.001
rs116041037 lBF = `0` Chr`8` : `128,131,809`	0.001	0.999	0.001
rs187636186 lBF = `0` Chr`8` : `73,002,468`	0.001	0.999	0.001
rs182115318 lBF = `0` Chr`8` : `25,128,723`	0.001	0.999	0.001
rs16902104 lBF = `0` Chr`8` : `128,340,908`	0.001	0.999	0.001
rs182302106 lBF = `0` Chr`8` : `1,455,175`	0.001	0.999	0.001
rs141395649 lBF = `0` Chr`8` : `6,498,690`	0.001	0.999	0.001
rs114252942 lBF = `0` Chr`8` : `6,202,964`	0.001	0.999	0.001
rs116129203 lBF = `0` Chr`8` : `6,779,323`	0.001	0.999	0.001
rs114258913 lBF = `0` Chr`8` : `93,525,403`	0.001	0.999	0.001
rs144424757 lBF = `0` Chr`8` : `12,929,793`	0.001	0.999	0.001
rs150435906 lBF = `0` Chr`8` : `66,864,338`	0.001	0.999	0.001
rs4128527 lBF = `0` Chr`8` : `72,682,693`	0.001	0.999	0.001
rs11989122 lBF = `0` Chr`8` : `118,827,839`	0.001	0.999	0.001
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rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs330071 lBF = `6.69881` Chr`8` : `9,159,895`	0.000	1.000	0.000
rs6985109 lBF = `5.33563` Chr`8` : `10,761,585`	0.000	1.000	0.000
rs11786541 lBF = `3.50621` Chr`8` : `9,789,549`	0.000	1.000	0.000
rs800586 lBF = `0.947739` Chr`8` : `116,813,905`	0.000	1.000	0.000
rs10956445 lBF = `0.167391` Chr`8` : `129,787,976`	0.000	1.000	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	1.000	0.000
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	1.000	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	1.000	0.000
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.000	1.000	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.000	1.000	0.000
rs285406 lBF = `0.0521819` Chr`8` : `87,025,013`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs201466262 lBF = `-0.00045314` Chr`8` : `52,407,936`	0.000	1.000	0.000
rs4733781 lBF = `-0.00271699` Chr`8` : `131,296,767`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs6993270 lBF = `-0.0124426` Chr`8` : `120,941,716`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs1835740 lBF = `-0.018685` Chr`8` : `98,166,913`	0.000	1.000	0.000
rs12542166 lBF = `-0.03426` Chr`8` : `122,982,838`	0.000	1.000	0.000
rs7822058 lBF = `-0.0416773` Chr`8` : `53,684,861`	0.000	1.000	0.000
rs11166629 lBF = `-0.0444364` Chr`8` : `135,636,964`	0.000	1.000	0.000
rs1504749 lBF = `-0.055441` Chr`8` : `55,310,711`	0.000	1.000	0.000
rs4295627 lBF = `-0.0634004` Chr`8` : `130,685,457`	0.000	1.000	0.000
rs6468442 lBF = `-0.0719252` Chr`8` : `37,686,749`	0.000	1.000	0.000
rs11782824 lBF = `-0.0785949` Chr`8` : `38,781,040`	0.000	1.000	0.000
rs998731 lBF = `-0.0793837` Chr`8` : `81,095,395`	0.000	1.000	0.000
rs4276643 lBF = `-0.119684` Chr`8` : `27,803,599`	0.000	1.000	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.000	1.000	0.000
rs1447295 lBF = `15.7554` Chr`8` : `128,485,038`	0.000	1.000	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.000	1.000	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.000	1.000	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.000	1.000	0.000
rs1516971 lBF = `1.4255` Chr`8` : `129,542,100`	0.000	1.000	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.000	1.000	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.000	1.000	0.000
rs13259667 lBF = `0.487497` Chr`8` : `78,325,885`	0.000	1.000	0.000
rs7832232 lBF = `0.38776` Chr`8` : `38,469,303`	0.000	1.000	0.000
rs2722425 lBF = `0.210439` Chr`8` : `40,484,239`	0.000	1.000	0.000
rs2737229 lBF = `0.177448` Chr`8` : `116,648,565`	0.000	1.000	0.000
rs4355801 lBF = `0.157347` Chr`8` : `119,923,873`	0.000	1.000	0.000
rs4732812 lBF = `0.155874` Chr`8` : `27,923,388`	0.000	1.000	0.000
rs1903595 lBF = `0.0891305` Chr`8` : `14,389,481`	0.000	1.000	0.000
rs10108033 lBF = `0.0622048` Chr`8` : `132,330,716`	0.000	1.000	0.000
rs2936519 lBF = `0.0602152` Chr`8` : `6,639,240`	0.000	1.000	0.000
rs7812879 lBF = `0.0541953` Chr`8` : `11,340,181`	0.000	1.000	0.000
rs2254546 lBF = `0.049017` Chr`8` : `11,343,680`	0.000	1.000	0.000
rs284491 lBF = `0.0426404` Chr`8` : `105,958,633`	0.000	1.000	0.000
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.000	1.000	0.000
rs28455997 lBF = `0.0306551` Chr`8` : `3,076,959`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs1531590 lBF = `0.0152584` Chr`8` : `76,036,444`	0.000	1.000	0.000
rs56156301 lBF = `0.00794506` Chr`8` : `104,147,804`	0.000	1.000	0.000
rs4909801 lBF = `0.00751066` Chr`8` : `135,879,159`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	1.000	0.000
rs272594 lBF = `-0.0153296` Chr`8` : `81,470,120`	0.000	1.000	0.000
rs13272236 lBF = `-0.0471007` Chr`8` : `51,384,987`	0.000	1.000	0.000
rs1600249 lBF = `-0.0589275` Chr`8` : `11,359,638`	0.000	1.000	0.000
rs956225 lBF = `-0.0659505` Chr`8` : `122,909,687`	0.000	1.000	0.000
rs28834970 lBF = `-0.0720231` Chr`8` : `27,195,121`	0.000	1.000	0.000
rs12676170 lBF = `-0.0817959` Chr`8` : `15,197,417`	0.000	1.000	0.000
rs1693575 lBF = `-0.087782` Chr`8` : `101,682,777`	0.000	1.000	0.000
rs6469937 lBF = `-0.0880785` Chr`8` : `121,610,438`	0.000	1.000	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.000	1.000	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.000	1.000	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.000	1.000	0.000
rs11998678 lBF = `9.51692` Chr`8` : `11,830,150`	0.000	1.000	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.000	1.000	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.000	1.000	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.000	1.000	0.000
rs2071518 lBF = `4.45658` Chr`8` : `120,435,812`	0.000	1.000	0.000
rs2898261 lBF = `1.10657` Chr`8` : `10,958,539`	0.000	1.000	0.000
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.000	1.000	0.000
rs500816 lBF = `0.296843` Chr`8` : `20,803,103`	0.000	1.000	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs13281609 lBF = `0.0126291` Chr`8` : `115,324,068`	0.000	1.000	0.000
rs2360806 lBF = `0.00648987` Chr`8` : `53,125,734`	0.000	1.000	0.000
rs16936870 lBF = `0.00222212` Chr`8` : `71,189,342`	0.000	1.000	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	1.000	0.000
rs13340561 lBF = `-0.00345309` Chr`8` : `16,058,905`	0.000	1.000	0.000
rs196889 lBF = `-0.00893747` Chr`8` : `24,734,677`	0.000	1.000	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.000	1.000	0.000
rs13273088 lBF = `-0.0230254` Chr`8` : `70,493,974`	0.000	1.000	0.000
rs117025875 lBF = `-0.0256854` Chr`8` : `6,999,135`	0.000	1.000	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 X0268

log Bayes Factor = 213.591

contains 8 variants

0.8241

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8069

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7997

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7127

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7064

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7035

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7027

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6906

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6644

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6428

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6289

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6015

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5817

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5646

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5506

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5285

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4683

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4519

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4400

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4098

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4032

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3450

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3411

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2995

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2824

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.2645

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2515

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2416

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2410

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2323

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2177

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2113

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2032

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1955

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1742

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1481

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1325

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1216

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1113

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0956

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0818

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0712

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0693

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0616

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0585

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`)