Published January 19, 2023 | Version v2
Dataset Open

Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations

  • 1. Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA
  • 2. Department of Biology, Loyola University Chicago, Chicago, IL, 60660, USA
  • 3. Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, 22908, USA
  • 4. Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
  • 5. Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, UC Denver Anschutz Medical Campus, Aurora, CO, 80045, USA
  • 6. Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
  • 7. The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
  • 8. Laboratory for Clinical Biochemistry Research, University of Vermont, Colchester, VT, 05446, USA
  • 9. Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
  • 10. Epidemiology Branch, Division of Cardiovascular Sciences, National Heart, Lung and Blood Institute, Bethesda, MD, 20892, USA
  • 11. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
  • 12. Section of Genetic Medicine, The University of Chicago, Chicago, IL, 60637, USA
  • 13. Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA; Department of Biology, Loyola University Chicago, Chicago, IL, 60660, USA

Description

This Zenodo file collection contains transcriptome prediction models built for PrediXcan, as well as concatenated raw results from S-PrediXcan. Files belong to the research paper "Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations" published at HGG Advances (2023, doi: 10.1016/j.xhgg.2023.100216). Please refer to the README file for a more detailed description.

Files

README.txt

Files (8.9 GB)

Name Size Download all
md5:e33621033d19d6a7c5548ea5b523cf9d
23.1 MB Download
md5:66a0392b34c46d8c8ec08677494d0bb5
29.0 MB Download
md5:c47522641774c0459f2b705e2638876a
3.5 MB Download
md5:f241e1284d84a1a41ccb0d2270fef469
1.2 MB Download
md5:afe4d26610731b8ba41f2a59c62118f0
1.5 MB Download
md5:8aff350176a7842d262d85567d3e5dfa
155.0 kB Download
md5:09138b806b656391f97444b9f79b59e6
1.7 MB Download
md5:075a1c0685adee4acae11bf48882a129
654.9 kB Download
md5:21970a75249ed78e08bf98e1d435fa53
22.3 MB Download
md5:c44250c93207e450ee80ae43de4920fa
159.0 MB Download
md5:8dc45228ec4237937e0ca6d255a70426
29.0 MB Download
md5:daf1e34199eb4dfcb2056a4d21e15b67
35.9 MB Download
md5:6b6759c2e7740156dc02ef168fe1f685
5.8 MB Download
md5:928486c472b8038f623412fa2d703227
1.8 MB Download
md5:d2133202dc5364a6f1edb0c7843ba10a
1.5 MB Download
md5:e9d4739a85a390535125b0dbfac5d160
192.5 kB Download
md5:1216dd12d47dcc2197b15c7738adca08
1.6 MB Download
md5:6e16872e5a9b96c8dce909010561b7b3
689.5 kB Download
md5:e88c198ffaa66782c46f942be7fb9b1f
95.5 MB Download
md5:561f2fcee2e3053f599447e46548b8df
743.1 MB Download
md5:0995ed595f3c88a3268acd898223ff6f
23.7 MB Download
md5:5a4276df5ba4828b4cd087b14a809021
30.3 MB Download
md5:f60077363a89939f3ef79aa3b49d346c
4.2 MB Download
md5:59859c2b7cc5b7cbe921842d49ebece2
1.4 MB Download
md5:22e22e4ab89e3c5327c56e8fea2ac77d
1.5 MB Download
md5:6cef4fc3a2fe8a8ead0307627fd97ac6
199.7 kB Download
md5:f908fe460b839bda298d6226f93aed93
1.7 MB Download
md5:8318b04d060d658d1d60cda5576296c9
845.4 kB Download
md5:9c58e270f3c89040a04bfc902569246c
24.0 MB Download
md5:f402783b9c8f14d710e64aa7ee444c4d
146.8 MB Download
md5:e6742c179f8a7e312d44ddfe04e6b54b
62.9 MB Download
md5:4b2d942bfc901fe5766ed9e7bfbc2111
113.7 MB Download
md5:3e250666925083cb4724ca51baef7188
14.4 MB Download
md5:f1c9949c1aaae024ab70c95da4d99697
7.3 MB Download
md5:477f87da1324199812f2a949ec421644
4.4 MB Download
md5:b9f46e8e4e7bcc9bd1d7b3d78c9a6c83
788.6 kB Download
md5:7ee608c8766f9ec9e87b3f87a9ce18fd
4.9 MB Download
md5:6ca589349a513230c135d7a9c5155358
1.7 MB Download
md5:5cf48ea429f089ae657fff4518bd9912
137.4 MB Download
md5:97827cfd4a10c81e092069771da0f598
1.3 GB Download
md5:b400345bb086043b59c3c4a449891aae
37.9 MB Download
md5:b69792b9199c1f231d780cc70f5f8aae
44.5 MB Download
md5:f105bf296e952b5c94f43df3468c893d
6.1 MB Download
md5:a84c71078f454b87000caedf815a813d
1.4 MB Download
md5:ba7fff4acc4c3abd0af49c4b4f3a3146
4.4 MB Download
md5:83e63206673425e9f542383b7add8299
550.8 kB Download
md5:999ae51de5e395bed766c089c140da30
4.4 MB Download
md5:4f2229304c7370ce03097a260c62d4de
1.0 MB Download
md5:8c189b09dff23dcb1379b90dc85e115b
82.8 MB Download
md5:f3d5a15ae384f0d88bdf07f9b1db407a
468.8 MB Download
md5:426ca9ec927e6d598fb797a3f7f1ca13
59.2 MB Download
md5:b814bed20102cad1e20e2753844da3c6
88.5 MB Download
md5:8f8e76ef4067e9d9d0a19152e2ecbccd
14.1 MB Download
md5:eee4ed3956c6d301a429480ae16c0719
5.2 MB Download
md5:8a0ef0d134120cc8b17a5a56bbc07fd7
4.4 MB Download
md5:6992bf474e9f2f152ccc585fb3bad5f1
751.8 kB Download
md5:c1d70d3cdcc8f52ef6f93edddb13935d
4.5 MB Download
md5:1c5d5387c9c8f21e1f74782ffc976fc3
1.4 MB Download
md5:8f802f515079e80d6b5a9ebd569b36bc
178.8 MB Download
md5:e5ce4db29c93e524b0aadc2e2d214bb1
1.3 GB Download
md5:17794d468b4a95f406737adda27664e1
59.3 MB Download
md5:78ef909fa8213767149f8462c4653c03
78.9 MB Download
md5:08f8bc635e5a8a0c3bdd73810902430d
13.5 MB Download
md5:062bbd987b8c875bd76b9bc1f0d715de
4.4 MB Download
md5:971bc7ee0fe55c1f753c3a8be7cc5e93
4.4 MB Download
md5:5035452b750c104e64b9f2dcd3c5b480
737.7 kB Download
md5:8c356db9184d85ff475bfe8489c213ba
4.9 MB Download
md5:32caa153d2426ad41dba11e3288109b8
1.6 MB Download
md5:9d9ceadcd5a265573dc37f0e7474446a
139.3 MB Download
md5:3493c35c480c2b38bb6a52236c88b553
1.0 GB Download
md5:896d07a3b3558a5681360020d9de76b5
1.9 kB Preview Download
md5:eb4f04cb66072d744031bfb6fa776822
739.4 MB Download
md5:0cd63a695b6acec7d04fe3589faf2fa8
24.0 MB Download
md5:9cccc29ad5fec3550fa405aeac118f2a
30.0 MB Download
md5:6dba928c268e34a5f308a65deebb79e8
3.3 MB Download
md5:d481e27fea9e65d9e30a15892c343da3
1.1 MB Download
md5:2167f2247b693974c2bd30d0628880cb
1.6 MB Download
md5:3d46a71702933baf5f2e22d555ace41a
161.8 kB Download
md5:c322e528051ce63164821abdca90f95f
1.8 MB Download
md5:5ed436eae6adca299129ad9b4cd16f74
736.1 kB Download
md5:515cacab6db1340af670295d3164788b
20.5 MB Download
md5:89f7bc5ba6f3528e8e2ee5e074aad0d2
131.8 MB Download
md5:88a8b158d6e01f98ffee02230bdf255e
31.5 MB Download
md5:4565682170553151824fd26a7084fc58
39.0 MB Download
md5:471866c8d4a95c4d7f09bc437d342e88
6.3 MB Download
md5:36b959991012575b4ed5ecb8a440d7f8
1.9 MB Download
md5:30324c02aa71a2282dd187e6c9e9aad4
1.6 MB Download
md5:f98b22eb8c3cfd95d67ca700088613fb
207.9 kB Download
md5:4c7b2a02fa2d7aff605bcf4d93deebea
1.7 MB Download
md5:3298eabe58ac65437d49ed97ee9ab24b
824.9 kB Download
md5:8e8d33e57d0ff6d920a3bbf1f790a733
106.0 MB Download
md5:8871acba7f8a1f7a12251594ba12fa69
829.4 MB Download
md5:824cf318521f94ac744670d190f6a2e2
24.7 MB Download
md5:de601b6fb2d401b83e55350a602ecb0f
31.3 MB Download
md5:b498e11f965957c1335d8586520cfb6c
4.1 MB Download
md5:0640a753e77bab6a59992d8036b84428
1.3 MB Download
md5:1761253c3b75b8ad660eb29a0c11bad9
1.6 MB Download
md5:7b95e67cc2e247b22d08aaf6e34ec5fc
203.1 kB Download
md5:de7d047d757087eae21adfabede15b5b
1.8 MB Download
md5:d4662da3fbd52c20e105bb9c87181da9
935.4 kB Download
md5:65ce1a01aa8b1edac6d7903fca3673dc
28.2 MB Download
md5:4e7afd38c18786d1aa8fc2587e8f4207
159.7 MB Download