TY  - JOUR
A1  - Iyengar, Sudha K.
A1  - Sedor, John R.
A1  - Freedman, Barry I.
A1  - Kao, W. H. Linda
A1  - Kretzler, Matthias
A1  - Keller, Benjamin J.
A1  - Abboud, Hanna E.
A1  - Adler, Sharon G.
A1  - Best, Lyle G.
A1  - Bowden, Donald W.
A1  - Burlock, Allison
A1  - Chen, Yii-Der Ida
A1  - Cole, Shelley A.
A1  - Comeau, Mary E.
A1  - Curtis, Jeffrey M.
A1  - Divers, Jasmin
A1  - Drechsler, Christiane
A1  - Duggirala, Ravi
A1  - Elston, Robert C.
A1  - Guo, Xiuqing
A1  - Huang, Huateng
A1  - Hoffmann, Michael Marcus
A1  - Howard, Barbara V.
A1  - Ipp, Eli
A1  - Kimmel, Paul L.
A1  - Klag, Michael J.
A1  - Knowler, William C.
A1  - Kohn, Orly F.
A1  - Leak, Tennille S.
A1  - Leehey, David J.
A1  - Li, Man
A1  - Malhotra, Alka
A1  - März, Winfried
A1  - Nair, Viji
A1  - Nelson, Robert G.
A1  - Nicholas, Susanne B.
A1  - O’Brien, Stephen J.
A1  - Pahl, Madeleine V.
A1  - Parekh, Rulan S.
A1  - Pezzolesi, Marcus G.
A1  - Rasooly, Rebekah S.
A1  - Rotimi, Charles N.
A1  - Rotter, Jerome I.
A1  - Schelling, Jeffrey R.
A1  - Seldin, Michael F.
A1  - Shah, Vallabh O.
A1  - Smiles, Adam M.
A1  - Smith, Michael W.
A1  - Taylor, Kent D.
A1  - Thameem, Farook
A1  - Thornley-Brown, Denyse P.
A1  - Truitt, Barbara J.
A1  - Wanner, Christoph
A1  - Weil, E. Jennifer
A1  - Winkler, Cheryl A.
A1  - Zager, Philip G.
A1  - Igo, Jr, Robert P.
A1  - Hanson, Robert L.
A1  - Langefeld, Carl D.
T1  - Genome-wide association and trans-ethnic meta-analysis for advanced diabetic kidney disease: Family Investigation of Nephropathy and Diabetes (FIND)
JF  - PLoS Genetics
N2  - Diabetic kidney disease (DKD) is the most common etiology of chronic kidney disease (CKD) in the industrialized world and accounts for much of the excess mortality in patients with diabetes mellitus. Approximately 45% of U.S. patients with incident end-stage kidney disease (ESKD) have DKD. Independent of glycemic control, DKD aggregates in families and has higher incidence rates in African, Mexican, and American Indian ancestral groups relative to European populations. The Family Investigation of Nephropathy and Diabetes (FIND) performed a genome-wide association study (GWAS) contrasting 6,197 unrelated individuals with advanced DKD with healthy and diabetic individuals lacking nephropathy of European American, African American, Mexican American, or American Indian ancestry. A large-scale replication and trans-ethnic meta-analysis included 7,539 additional European American, African American and American Indian DKD cases and non-nephropathy controls. Within ethnic group meta-analysis of discovery GWAS and replication set results identified genome-wide significant evidence for association between DKD and rs12523822 on chromosome 6q25.2 in American Indians (P = 5.74x10\(^{−9}\)). The strongest signal of association in the trans-ethnic meta-analysis was with a SNP in strong linkage disequilibrium with rs12523822 (rs955333; P = 1.31x10\(^{−8}\)), with directionally consistent results across ethnic groups. These 6q25.2 SNPs are located between the SCAF8 and CNKSR3 genes, a region with DKD relevant changes in gene expression and an eQTL with IPCEF1, a gene co-translated with CNKSR3. Several other SNPs demonstrated suggestive evidence of association with DKD, within and across populations. These data identify a novel DKD susceptibility locus with consistent directions of effect across diverse ancestral groups and provide insight into the genetic architecture of DKD.
KW  - diabetic kidney disease
KW  - genome-wide association study
KW  - Family Investigation of Nephropathy and Diabetes
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-180545
VL  - 11
IS  - 8
ER  - 
TY  - JOUR
A1  - Rayner, Christopher
A1  - Coleman, Jonathan R. I.
A1  - Purves, Kirstin L.
A1  - Hodsoll, John
A1  - Goldsmith, Kimberley
A1  - Alpers, Georg W.
A1  - Andersson, Evelyn
A1  - Arolt, Volker
A1  - Boberg, Julia
A1  - Bögels, Susan
A1  - Creswell, Cathy
A1  - Cooper, Peter
A1  - Curtis, Charles
A1  - Deckert, Jürgen
A1  - Domschke, Katharina
A1  - El Alaoui, Samir
A1  - Fehm, Lydia
A1  - Fydrich, Thomas
A1  - Gerlach, Alexander L.
A1  - Grocholewski, Anja
A1  - Hahlweg, Kurt
A1  - Hamm, Alfons
A1  - Hedman, Erik
A1  - Heiervang, Einar R.
A1  - Hudson, Jennifer L.
A1  - Jöhren, Peter
A1  - Keers, Robert
A1  - Kircher, Tilo
A1  - Lang, Thomas
A1  - Lavebratt, Catharina
A1  - Lee, Sang-hyuck
A1  - Lester, Kathryn J.
A1  - Lindefors, Nils
A1  - Margraf, Jürgen
A1  - Nauta, Maaike
A1  - Pané-Farré, Christiane A.
A1  - Pauli, Paul
A1  - Rapee, Ronald M.
A1  - Reif, Andreas
A1  - Rief, Winfried
A1  - Roberts, Susanna
A1  - Schalling, Martin
A1  - Schneider, Silvia
A1  - Silverman, Wendy K.
A1  - Ströhle, Andreas
A1  - Teismann, Tobias
A1  - Thastum, Mikael
A1  - Wannemüller, Andre
A1  - Weber, Heike
A1  - Wittchen, Hans-Ulrich
A1  - Wolf, Christiane
A1  - Rück, Christian
A1  - Breen, Gerome
A1  - Eley, Thalia C.
T1  - A genome-wide association meta-analysis of prognostic outcomes following cognitive behavioural therapy in individuals with anxiety and depressive disorders
JF  - Translational Psychiatry
N2  - Major depressive disorder and the anxiety disorders are highly prevalent, disabling and moderately heritable. Depression and anxiety are also highly comorbid and have a strong genetic correlation (r(g) approximate to 1). Cognitive behavioural therapy is a leading evidence-based treatment but has variable outcomes. Currently, there are no strong predictors of outcome. Therapygenetics research aims to identify genetic predictors of prognosis following therapy. We performed genome-wide association meta-analyses of symptoms following cognitive behavioural therapy in adults with anxiety disorders (n = 972), adults with major depressive disorder (n = 832) and children with anxiety disorders (n = 920; meta-analysis n = 2724). We (h(SNP)(2)) and polygenic scoring was used to examine genetic associations between therapy outcomes and psychopathology, personality and estimated the variance in therapy outcomes that could be explained by common genetic variants learning. No single nucleotide polymorphisms were strongly associated with treatment outcomes. No significant estimate of h(SNP)(2) could be obtained, suggesting the heritability of therapy outcome is smaller than our analysis was powered to detect. Polygenic scoring failed to detect genetic overlap between therapy outcome and psychopathology, personality or learning. This study is the largest therapygenetics study to date. Results are consistent with previous, similarly powered genome-wide association studies of complex traits.
KW  - Human behaviour
KW  - Personalized medicine
KW  - Prognostic markers
KW  - Psychiatric disorders
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-225048
VL  - 9
IS  - 150
ER  - 
TY  - JOUR
A1  - de Jong, Simone
A1  - Diniz, Mateus Jose Abdalla
A1  - Saloma, Andiara
A1  - Gadelha, Ary
A1  - Santoro, Marcos L.
A1  - Ota, Vanessa K.
A1  - Noto, Cristiano
A1  - Curtis, Charles
A1  - Newhouse, Stephen J.
A1  - Patel, Hamel
A1  - Hall, Lynsey S.
A1  - O'Reilly, Paul F.
A1  - Belangero, Sintia I.
A1  - Bressan, Rodrigo A.
A1  - Breen, Gerome
T1  - Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder
JF  - Communications Biology
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.
KW  - bipolar disorder
KW  - depression
KW  - genetic association study
KW  - genetic linkage study
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-223622
VL  - 1
ER  -