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Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference. / Meng, Xiangrui; Navoly, Georgina; Giannakopoulou, Olga; Levey, Daniel F.; Koller, Dora; Pathak, Gita A.; Koen, Nastassja; Lin, Kuang; Adams, Mark J.; Rentería, Miguel E.; Feng, Yanzhe; Gaziano, J. Michael; Stein, Dan J.; Zar, Heather J.; Campbell, Megan L.; van Heel, David A.; Trivedi, Bhavi; Finer, Sarah; McQuillin, Andrew; Bass, Nick; Chundru, V. Kartik; Martin, Hilary C.; Huang, Qin Qin; Valkovskaya, Maria; Chu, Chia Yi; Kanjira, Susan; Kuo, Po Hsiu; Chen, Hsi Chung; Tsai, Shih Jen; Liu, Yu Li; Kendler, Kenneth S.; Peterson, Roseann E.; Cai, Na; Fang, Yu; Sen, Srijan; Scott, Laura J.; Burmeister, Margit; Loos, Ruth J.F.; Preuss, Michael H.; Actkins, Ky’Era E.V.; Davis, Lea K.; Uddin, Monica; Wani, Agaz H.; Wildman, Derek E.; Aiello, Allison E.; Ursano, Robert J.; Kessler, Ronald C.; Kanai, Masahiro; Okada, Yukinori; Sakaue, Saori; Rabinowitz, Jill A.; Maher, Brion S.; Uhl, George; Eaton, William; Cruz-Fuentes, Carlos S.; Martinez-Levy, Gabriela A.; Campos, Adrian I.; Millwood, Iona Y.; Chen, Zhengming; Li, Liming; Wassertheil-Smoller, Sylvia; Jiang, Yunxuan; Tian, Chao; Martin, Nicholas G.; Mitchell, Brittany L.; Byrne, Enda M.; Awasthi, Swapnil; Coleman, Jonathan R.I.; Ripke, Stephan; Sofer, Tamar; Walters, Robin G.; McIntosh, Andrew M.; Polimanti, Renato; Dunn, Erin C.; Stein, Murray B.; Gelernter, Joel; Lewis, Cathryn M.; Kuchenbaecker, Karoline.
In:
Nature Genetics, Vol. 56, No. 2, 2024, p. 222–233.
Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Meng, X, Navoly, G, Giannakopoulou, O, Levey, DF, Koller, D, Pathak, GA, Koen, N, Lin, K, Adams, MJ, Rentería, ME, Feng, Y, Gaziano, JM, Stein, DJ, Zar, HJ, Campbell, ML, van Heel, DA, Trivedi, B, Finer, S, McQuillin, A, Bass, N, Chundru, VK, Martin, HC, Huang, QQ, Valkovskaya, M, Chu, CY, Kanjira, S, Kuo, PH, Chen, HC, Tsai, SJ, Liu, YL, Kendler, KS, Peterson, RE, Cai, N, Fang, Y, Sen, S, Scott, LJ, Burmeister, M
, Loos, RJF, Preuss, MH, Actkins, KEEV, Davis, LK, Uddin, M, Wani, AH, Wildman, DE, Aiello, AE, Ursano, RJ, Kessler, RC, Kanai, M, Okada, Y, Sakaue, S, Rabinowitz, JA, Maher, BS, Uhl, G, Eaton, W, Cruz-Fuentes, CS, Martinez-Levy, GA, Campos, AI, Millwood, IY, Chen, Z, Li, L, Wassertheil-Smoller, S, Jiang, Y, Tian, C, Martin, NG, Mitchell, BL, Byrne, EM, Awasthi, S, Coleman, JRI, Ripke, S, Sofer, T, Walters, RG, McIntosh, AM, Polimanti, R, Dunn, EC, Stein, MB, Gelernter, J, Lewis, CM & Kuchenbaecker, K 2024, '
Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference',
Nature Genetics, vol. 56, no. 2, pp. 222–233.
https://doi.org/10.1038/s41588-023-01596-4APA
Meng, X., Navoly, G., Giannakopoulou, O., Levey, D. F., Koller, D., Pathak, G. A., Koen, N., Lin, K., Adams, M. J., Rentería, M. E., Feng, Y., Gaziano, J. M., Stein, D. J., Zar, H. J., Campbell, M. L., van Heel, D. A., Trivedi, B., Finer, S., McQuillin, A., ... Kuchenbaecker, K. (2024).
Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.
Nature Genetics,
56(2), 222–233.
https://doi.org/10.1038/s41588-023-01596-4Vancouver
Meng X, Navoly G, Giannakopoulou O, Levey DF, Koller D, Pathak GA et al.
Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.
Nature Genetics. 2024;56(2):222–233.
https://doi.org/10.1038/s41588-023-01596-4Author
Meng, Xiangrui ; Navoly, Georgina ; Giannakopoulou, Olga ; Levey, Daniel F. ; Koller, Dora ; Pathak, Gita A. ; Koen, Nastassja ; Lin, Kuang ; Adams, Mark J. ; Rentería, Miguel E. ; Feng, Yanzhe ; Gaziano, J. Michael ; Stein, Dan J. ; Zar, Heather J. ; Campbell, Megan L. ; van Heel, David A. ; Trivedi, Bhavi ; Finer, Sarah ; McQuillin, Andrew ; Bass, Nick ; Chundru, V. Kartik ; Martin, Hilary C. ; Huang, Qin Qin ; Valkovskaya, Maria ; Chu, Chia Yi ; Kanjira, Susan ; Kuo, Po Hsiu ; Chen, Hsi Chung ; Tsai, Shih Jen ; Liu, Yu Li ; Kendler, Kenneth S. ; Peterson, Roseann E. ; Cai, Na ; Fang, Yu ; Sen, Srijan ; Scott, Laura J. ; Burmeister, Margit ; Loos, Ruth J.F. ; Preuss, Michael H. ; Actkins, Ky’Era E.V. ; Davis, Lea K. ; Uddin, Monica ; Wani, Agaz H. ; Wildman, Derek E. ; Aiello, Allison E. ; Ursano, Robert J. ; Kessler, Ronald C. ; Kanai, Masahiro ; Okada, Yukinori ; Sakaue, Saori ; Rabinowitz, Jill A. ; Maher, Brion S. ; Uhl, George ; Eaton, William ; Cruz-Fuentes, Carlos S. ; Martinez-Levy, Gabriela A. ; Campos, Adrian I. ; Millwood, Iona Y. ; Chen, Zhengming ; Li, Liming ; Wassertheil-Smoller, Sylvia ; Jiang, Yunxuan ; Tian, Chao ; Martin, Nicholas G. ; Mitchell, Brittany L. ; Byrne, Enda M. ; Awasthi, Swapnil ; Coleman, Jonathan R.I. ; Ripke, Stephan ; Sofer, Tamar ; Walters, Robin G. ; McIntosh, Andrew M. ; Polimanti, Renato ; Dunn, Erin C. ; Stein, Murray B. ; Gelernter, Joel ; Lewis, Cathryn M. ; Kuchenbaecker, Karoline. / Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference. In: Nature Genetics. 2024 ; Vol. 56, No. 2. pp. 222–233.
Bibtex
@article{bb77a3d8298f4eb0a7e5921a65d26cfc,
title = "Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference",
abstract = "Most genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 cohorts with 88,316 MD cases and 902,757 controls to previously reported data. This analysis used a range of measures to define MD and included samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latin American participants (32%). The multi-ancestry GWAS identified 53 significantly associated novel loci. For loci from GWAS in European ancestry samples, fewer than expected were transferable to other ancestry groups. Fine mapping benefited from additional sample diversity. A transcriptome-wide association study identified 205 significantly associated novel genes. These findings suggest that, for MD, increasing ancestral and global diversity in genetic studies may be particularly important to ensure discovery of core genes and inform about transferability of findings.",
author = "Xiangrui Meng and Georgina Navoly and Olga Giannakopoulou and Levey, {Daniel F.} and Dora Koller and Pathak, {Gita A.} and Nastassja Koen and Kuang Lin and Adams, {Mark J.} and Renter{\'i}a, {Miguel E.} and Yanzhe Feng and Gaziano, {J. Michael} and Stein, {Dan J.} and Zar, {Heather J.} and Campbell, {Megan L.} and {van Heel}, {David A.} and Bhavi Trivedi and Sarah Finer and Andrew McQuillin and Nick Bass and Chundru, {V. Kartik} and Martin, {Hilary C.} and Huang, {Qin Qin} and Maria Valkovskaya and Chu, {Chia Yi} and Susan Kanjira and Kuo, {Po Hsiu} and Chen, {Hsi Chung} and Tsai, {Shih Jen} and Liu, {Yu Li} and Kendler, {Kenneth S.} and Peterson, {Roseann E.} and Na Cai and Yu Fang and Srijan Sen and Scott, {Laura J.} and Margit Burmeister and Loos, {Ruth J.F.} and Preuss, {Michael H.} and Actkins, {Ky{\textquoteright}Era E.V.} and Davis, {Lea K.} and Monica Uddin and Wani, {Agaz H.} and Wildman, {Derek E.} and Aiello, {Allison E.} and Ursano, {Robert J.} and Kessler, {Ronald C.} and Masahiro Kanai and Yukinori Okada and Saori Sakaue and Rabinowitz, {Jill A.} and Maher, {Brion S.} and George Uhl and William Eaton and Cruz-Fuentes, {Carlos S.} and Martinez-Levy, {Gabriela A.} and Campos, {Adrian I.} and Millwood, {Iona Y.} and Zhengming Chen and Liming Li and Sylvia Wassertheil-Smoller and Yunxuan Jiang and Chao Tian and Martin, {Nicholas G.} and Mitchell, {Brittany L.} and Byrne, {Enda M.} and Swapnil Awasthi and Coleman, {Jonathan R.I.} and Stephan Ripke and Tamar Sofer and Walters, {Robin G.} and McIntosh, {Andrew M.} and Renato Polimanti and Dunn, {Erin C.} and Stein, {Murray B.} and Joel Gelernter and Lewis, {Cathryn M.} and Karoline Kuchenbaecker",
note = "Publisher Copyright: {\textcopyright} 2024, The Author(s).",
year = "2024",
doi = "10.1038/s41588-023-01596-4",
language = "English",
volume = "56",
pages = "222–233",
journal = "Nature Genetics",
issn = "1061-4036",
publisher = "nature publishing group",
number = "2",
}
RIS
TY - JOUR
T1 - Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference
AU - Meng, Xiangrui
AU - Navoly, Georgina
AU - Giannakopoulou, Olga
AU - Levey, Daniel F.
AU - Koller, Dora
AU - Pathak, Gita A.
AU - Koen, Nastassja
AU - Lin, Kuang
AU - Adams, Mark J.
AU - Rentería, Miguel E.
AU - Feng, Yanzhe
AU - Gaziano, J. Michael
AU - Stein, Dan J.
AU - Zar, Heather J.
AU - Campbell, Megan L.
AU - van Heel, David A.
AU - Trivedi, Bhavi
AU - Finer, Sarah
AU - McQuillin, Andrew
AU - Bass, Nick
AU - Chundru, V. Kartik
AU - Martin, Hilary C.
AU - Huang, Qin Qin
AU - Valkovskaya, Maria
AU - Chu, Chia Yi
AU - Kanjira, Susan
AU - Kuo, Po Hsiu
AU - Chen, Hsi Chung
AU - Tsai, Shih Jen
AU - Liu, Yu Li
AU - Kendler, Kenneth S.
AU - Peterson, Roseann E.
AU - Cai, Na
AU - Fang, Yu
AU - Sen, Srijan
AU - Scott, Laura J.
AU - Burmeister, Margit
AU - Loos, Ruth J.F.
AU - Preuss, Michael H.
AU - Actkins, Ky’Era E.V.
AU - Davis, Lea K.
AU - Uddin, Monica
AU - Wani, Agaz H.
AU - Wildman, Derek E.
AU - Aiello, Allison E.
AU - Ursano, Robert J.
AU - Kessler, Ronald C.
AU - Kanai, Masahiro
AU - Okada, Yukinori
AU - Sakaue, Saori
AU - Rabinowitz, Jill A.
AU - Maher, Brion S.
AU - Uhl, George
AU - Eaton, William
AU - Cruz-Fuentes, Carlos S.
AU - Martinez-Levy, Gabriela A.
AU - Campos, Adrian I.
AU - Millwood, Iona Y.
AU - Chen, Zhengming
AU - Li, Liming
AU - Wassertheil-Smoller, Sylvia
AU - Jiang, Yunxuan
AU - Tian, Chao
AU - Martin, Nicholas G.
AU - Mitchell, Brittany L.
AU - Byrne, Enda M.
AU - Awasthi, Swapnil
AU - Coleman, Jonathan R.I.
AU - Ripke, Stephan
AU - Sofer, Tamar
AU - Walters, Robin G.
AU - McIntosh, Andrew M.
AU - Polimanti, Renato
AU - Dunn, Erin C.
AU - Stein, Murray B.
AU - Gelernter, Joel
AU - Lewis, Cathryn M.
AU - Kuchenbaecker, Karoline
N1 - Publisher Copyright:
© 2024, The Author(s).
PY - 2024
Y1 - 2024
N2 - Most genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 cohorts with 88,316 MD cases and 902,757 controls to previously reported data. This analysis used a range of measures to define MD and included samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latin American participants (32%). The multi-ancestry GWAS identified 53 significantly associated novel loci. For loci from GWAS in European ancestry samples, fewer than expected were transferable to other ancestry groups. Fine mapping benefited from additional sample diversity. A transcriptome-wide association study identified 205 significantly associated novel genes. These findings suggest that, for MD, increasing ancestral and global diversity in genetic studies may be particularly important to ensure discovery of core genes and inform about transferability of findings.
AB - Most genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 cohorts with 88,316 MD cases and 902,757 controls to previously reported data. This analysis used a range of measures to define MD and included samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latin American participants (32%). The multi-ancestry GWAS identified 53 significantly associated novel loci. For loci from GWAS in European ancestry samples, fewer than expected were transferable to other ancestry groups. Fine mapping benefited from additional sample diversity. A transcriptome-wide association study identified 205 significantly associated novel genes. These findings suggest that, for MD, increasing ancestral and global diversity in genetic studies may be particularly important to ensure discovery of core genes and inform about transferability of findings.
U2 - 10.1038/s41588-023-01596-4
DO - 10.1038/s41588-023-01596-4
M3 - Journal article
C2 - 38177345
AN - SCOPUS:85181441322
VL - 56
SP - 222
EP - 233
JO - Nature Genetics
JF - Nature Genetics
SN - 1061-4036
IS - 2
ER -
