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Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

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Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder. / de Jong, Simone; Diniz, Mateus Jose Abdalla; Saloma, Andiara et al.
I: Communications Biology, Bind 1, Nr. 1, 163, 2018.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

Harvard

de Jong, S, Diniz, MJA, Saloma, A, Gadelha, A, Santoro, ML, Ota, VK, Noto, C, Curtis, C, Newhouse, SJ, Patel, H, Hall, LS, O Reilly, PF, Belangero, SI, Bressan, RA, Breen, G & Major Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium (Per Qvist, Preben Bo Mortensen, Henriette Nørmølle Buttenschøn, Jane Hvarregaard Christensen, Jakob Grove, members of -) 2018, 'Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder', Communications Biology, bind 1, nr. 1, 163. https://doi.org/10.1038/s42003-018-0155-y

APA

de Jong, S., Diniz, M. J. A., Saloma, A., Gadelha, A., Santoro, M. L., Ota, V. K., Noto, C., Curtis, C., Newhouse, S. J., Patel, H., Hall, L. S., O Reilly, P. F., Belangero, S. I., Bressan, R. A., Breen, G., & Major Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium (Per Qvist, Preben Bo Mortensen, Henriette Nørmølle Buttenschøn, Jane Hvarregaard Christensen, Jakob Grove, members of -) (2018). Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder. Communications Biology, 1(1), artikel 163. https://doi.org/10.1038/s42003-018-0155-y

CBE

de Jong S, Diniz MJA, Saloma A, Gadelha A, Santoro ML, Ota VK, Noto C, Curtis C, Newhouse SJ, Patel H, et al. 2018. Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder. Communications Biology. 1(1):Article 163. https://doi.org/10.1038/s42003-018-0155-y

MLA

de Jong, Simone et al. "Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder". Communications Biology. 2018. 1(1). https://doi.org/10.1038/s42003-018-0155-y

Vancouver

de Jong S, Diniz MJA, Saloma A, Gadelha A, Santoro ML, Ota VK et al. Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder. Communications Biology. 2018;1(1):163. doi: 10.1038/s42003-018-0155-y

Author

de Jong, Simone ; Diniz, Mateus Jose Abdalla ; Saloma, Andiara et al. / Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder. I: Communications Biology. 2018 ; Bind 1, Nr. 1.

Bibtex

@article{f8ff8d9805154128991719748987f779,
title = "Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder",
abstract = "Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generations. This may explain the observation of anticipation in mood disorders, whereby onset is earlier and the severity increases over the generations of a family. Joint analyses of rare and common variation may be a powerful way to understand the familial genetics of psychiatric disorders.",
keywords = "AGE, ANTICIPATION, ASSOCIATION, ONSET, PLINK, SAMPLE, SCHIZOPHRENIA",
author = "{de Jong}, Simone and Diniz, {Mateus Jose Abdalla} and Andiara Saloma and Ary Gadelha and Santoro, {Marcos L} and Ota, {Vanessa K} and Cristiano Noto and Charles Curtis and Newhouse, {Stephen J} and Hamel Patel and Hall, {Lynsey S} and {O Reilly}, {Paul F} and Belangero, {Sintia I} and Bressan, {Rodrigo A} and Gerome Breen and {Major Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium (Per Qvist and Preben Bo Mortensen, members of-)} and Mortensen, {Preben Bo} and Per Qvist and Buttensch{\o}n, {Henriette N{\o}rm{\o}lle} and Christensen, {Jane Hvarregaard} and Jakob Grove",
year = "2018",
doi = "10.1038/s42003-018-0155-y",
language = "English",
volume = "1",
journal = "Communications Biology",
issn = "2399-3642",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder

AU - de Jong, Simone

AU - Diniz, Mateus Jose Abdalla

AU - Saloma, Andiara

AU - Gadelha, Ary

AU - Santoro, Marcos L

AU - Ota, Vanessa K

AU - Noto, Cristiano

AU - Curtis, Charles

AU - Newhouse, Stephen J

AU - Patel, Hamel

AU - Hall, Lynsey S

AU - O Reilly, Paul F

AU - Belangero, Sintia I

AU - Bressan, Rodrigo A

AU - Breen, Gerome

AU - Major Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium (Per Qvist and Preben Bo Mortensen, members of-)

AU - Mortensen, Preben Bo

AU - Qvist, Per

AU - Buttenschøn, Henriette Nørmølle

AU - Christensen, Jane Hvarregaard

AU - Grove, Jakob

PY - 2018

Y1 - 2018

N2 - Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generations. This may explain the observation of anticipation in mood disorders, whereby onset is earlier and the severity increases over the generations of a family. Joint analyses of rare and common variation may be a powerful way to understand the familial genetics of psychiatric disorders.

AB - Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generations. This may explain the observation of anticipation in mood disorders, whereby onset is earlier and the severity increases over the generations of a family. Joint analyses of rare and common variation may be a powerful way to understand the familial genetics of psychiatric disorders.

KW - AGE

KW - ANTICIPATION

KW - ASSOCIATION

KW - ONSET

KW - PLINK

KW - SAMPLE

KW - SCHIZOPHRENIA

U2 - 10.1038/s42003-018-0155-y

DO - 10.1038/s42003-018-0155-y

M3 - Journal article

C2 - 30320231

VL - 1

JO - Communications Biology

JF - Communications Biology

SN - 2399-3642

IS - 1

M1 - 163

ER -