Literature DB >> 23715300

Family-based association of an ANK3 haplotype with bipolar disorder in Latino populations.

S D Gonzalez, C Xu, M E Ramirez, J M Zavala, R Armas, S A Contreras, J Contreras, A Dassori, R J Leach, D Flores, A Jerez, H Raventós, A Ontiveros, H Nicolini, M Escamilla.   

Abstract

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Year:  2013        PMID: 23715300      PMCID: PMC3669926          DOI: 10.1038/tp.2013.40

Source DB:  PubMed          Journal:  Transl Psychiatry        ISSN: 2158-3188            Impact factor:   6.222


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Over the past several years, genome-wide association studies (GWAS) have successfully identified genetic loci strongly associated with bipolar disorder (BP).[1, 2, 3] Some of the most consistent findings have been in variants located in the ANK3 (ankyrin-G) gene located on chromosome 10q. Schultz et al.[4] found that BP risk alleles in ANK3, rs9804190 and rs10994336, contributed independently to BP with no significant marker–marker interaction. Subsequent association studies support the ANK3 association in other populations of primarily European or Asian ancestries.[5, 6] To date, no studies have been reported that focus in Latino populations. To evaluate the role of ANK3 in the Latino population, we have designed a family-based association study to evaluate single-nucleotide polymorphisms (SNPs) spanning the ANK3 gene, including GWAS-significant SNPs rs9804190 and rs10994336, in 215 Latino pedigrees with reported ancestry from Mexico or Central America. Inclusion criteria required a proband with a bipolar disorder type I (BPI) diagnosis with at least one sibling with a clinical diagnosis of BPI or schizoaffective bipolar disorder (SABP), and a minimum of two additional first-degree relatives willing to participate. Additional family members with a history of affective or psychotic disorders were included when possible. The sample consisted of 157 case–parent trios and 258 affected subjects with one parent genotyped. All study participants were diagnosed using Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV criteria using a best-estimation consensus procedure as previously described.[7] Of the 929 individuals in this study, 466 were diagnosed with BPI and 16 were diagnosed with SABP. DNA was isolated from lymphoblastoid cell lines. SNP selection covering the ANK3 gene was based on a tagging SNP approach (r2⩾0.9) using the SNPbrowser software version 4.0.1 (Life Technologies Corporation, Carlsbad, CA, USA). Known BP risk variants in ANK3, rs9804190 and rs10994336, were included in the panel as well as additional proximal SNPs to these known variants. A total of 38 SNPs were genotyped using a custom-designed Illumina GoldenGate SNP assay (Illumina, San Diego, CA, USA). After assessment of quality control, a total of 36 SNPs for 213 pedigrees (913 individuals) were retained for statistical analysis. Analyses of individual SNPs and haplotypes were completed with the Family Based Association Test (FBAT) version 2.0.3,[8] using an additive genetic model (Table 1). We were unable to replicate associations of the BP risk variants rs9804190 and rs10994336 in our dataset. To thoroughly test the loci identified by the two individual SNPs previously reported to be associated with BP, Haploview version 4.2 (http://www.broadinstitute.org/haploview/haploview)[9] was used to visualize linkage disequilibrium (LD) relationships between all genotyped variants (36 SNPs) within and surrounding the ANK3 region and to construct LD blocks following the D′ method described by Gabriel et al.[10] Five SNPs were found to be in high LD with rs10994336. SNPs rs1380455 and rs3808943 were nominally associated with BP; however, the associations did not meet the Bonferroni threshold of significance (P=0.008). No other genotyped SNPs were in high LD with the rs9804190 risk allele and were therefore dropped from further analysis. Haplotype analyses were performed on the six-locus haploblock encompassing the rs10994336 BP risk variant. The TCCTTT haplotype showed an over-transmission in BP, which was statistically significant after permutation test with 10 000 simulations. Interestingly, the rs10994336 (T) BP risk allele was also present in the TCCTT haplotype showing increased risk (Z=2.266, permuted P=0.035). The whole marker permutation test was also significant (P=0.022).
Table 1

Family-based association tests for ANK3 variants and haplotypes under additive model

MarkerOver-transmittedAllele frequencyZ-scoreP-valueAdjusted P-valuea
rs1380455T0.7282.1080.0350.193
rs16914968T0.0761.6430.1000.470
rs1551684C0.9141.1110.2670.844
rs3808942T0.7450.0940.9251.000
rs3808943T0.3112.4300.0150.087
rs10994336T0.3101.9390.0530.276
 
 
 
 
 
 
Haplotype
Informative families
Haplotype frequency
Z-score
P-value
Permutation P-valueb
TCCTTT1030.3152.2660.0230.035*
GCCTCC1110.279−1.5720.1160.126
TCCCCC1000.247−0.5650.5720.552
TCTTCC430.070−0.7780.4360.396
TTCTCC390.0691.7370.0820.079

Abbreviation: ANK3, ankyrin-G.

Bonferroni-adjusted P-values.

P-values derived from 10 000 permutations; *denotes statistical significance.

Non-adjusted P-values <0.05 are in bold.

In closing, we attempted to validate in nearly 1000 Latinos the significant ANK3 variants associated with BP identified in populations of predominantly European ancestry. The associations between previous reported genetic variants of ANK3 (rs9804190 and rs10994336) and risk of BP were not significant in individual SNP analysis on our population. However, a six-locus ANK3 haplotype encompassing the rs10994336 risk allele was significantly associated with BP. This suggests that the rs10994336 risk allele associated with BP in European and Asian ancestry populations is also part of a more specific haplotype associated with BP in Latino populations. Targeted sequencing within these haploblock regions will be helpful in identifying the true functional variants in ANK3 that underlie BP. These results provide additional evidence that ANK3 is associated with BP and provide the first evidence that variations in this gene might have a role in the pathogenesis of this disorder in the Latino population.
  10 in total

1.  The structure of haplotype blocks in the human genome.

Authors:  Stacey B Gabriel; Stephen F Schaffner; Huy Nguyen; Jamie M Moore; Jessica Roy; Brendan Blumenstiel; John Higgins; Matthew DeFelice; Amy Lochner; Maura Faggart; Shau Neen Liu-Cordero; Charles Rotimi; Adebowale Adeyemo; Richard Cooper; Ryk Ward; Eric S Lander; Mark J Daly; David Altshuler
Journal:  Science       Date:  2002-05-23       Impact factor: 47.728

2.  Haploview: analysis and visualization of LD and haplotype maps.

Authors:  J C Barrett; B Fry; J Maller; M J Daly
Journal:  Bioinformatics       Date:  2004-08-05       Impact factor: 6.937

Review 3.  Family-based methods for linkage and association analysis.

Authors:  Nan M Laird; Christoph Lange
Journal:  Adv Genet       Date:  2008       Impact factor: 1.944

4.  Suggestive evidence for association between L-type voltage-gated calcium channel (CACNA1C) gene haplotypes and bipolar disorder in Latinos: a family-based association study.

Authors:  Suzanne Gonzalez; Chun Xu; Mercedes Ramirez; Juan Zavala; Regina Armas; Salvador A Contreras; Javier Contreras; Albana Dassori; Robin J Leach; Deborah Flores; Alvaro Jerez; Henriette Raventós; Alfonso Ontiveros; Humberto Nicolini; Michael Escamilla
Journal:  Bipolar Disord       Date:  2013-03       Impact factor: 6.744

5.  Genome-wide association study meta-analysis of European and Asian-ancestry samples identifies three novel loci associated with bipolar disorder.

Authors:  D T Chen; X Jiang; N Akula; Y Y Shugart; J R Wendland; C J M Steele; L Kassem; J-H Park; N Chatterjee; S Jamain; A Cheng; M Leboyer; P Muglia; T G Schulze; S Cichon; M M Nöthen; M Rietschel; F J McMahon; A Farmer; P McGuffin; I Craig; C Lewis; G Hosang; S Cohen-Woods; J B Vincent; J L Kennedy; J Strauss
Journal:  Mol Psychiatry       Date:  2011-12-20       Impact factor: 15.992

6.  Association analysis of ANK3 gene variants in nordic bipolar disorder and schizophrenia case-control samples.

Authors:  Martin Tesli; Pernille Koefoed; Lavinia Athanasiu; Morten Mattingsdal; Omar Gustafsson; Ingrid Agartz; Lars M Rimol; Andrew Brown; Katrine V Wirgenes; Lisa-Lena Smorr; Anna K Kähler; Thomas Werge; Ole Mors; Erling Mellerup; Erik G Jönsson; Ingrid Melle; Gunnar Morken; Srdjan Djurovic; Ole A Andreassen
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2011-10-03       Impact factor: 3.568

7.  Genome-wide association and meta-analysis of bipolar disorder in individuals of European ancestry.

Authors:  Laura J Scott; Pierandrea Muglia; Xiangyang Q Kong; Weihua Guan; Matthew Flickinger; Ruchi Upmanyu; Federica Tozzi; Jun Z Li; Margit Burmeister; Devin Absher; Robert C Thompson; Clyde Francks; Fan Meng; Athos Antoniades; Audrey M Southwick; Alan F Schatzberg; William E Bunney; Jack D Barchas; Edward G Jones; Richard Day; Keith Matthews; Peter McGuffin; John S Strauss; James L Kennedy; Lefkos Middleton; Allen D Roses; Stanley J Watson; John B Vincent; Richard M Myers; Ann E Farmer; Huda Akil; Daniel K Burns; Michael Boehnke
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-28       Impact factor: 11.205

8.  Two variants in Ankyrin 3 (ANK3) are independent genetic risk factors for bipolar disorder.

Authors:  T G Schulze; S D Detera-Wadleigh; N Akula; A Gupta; L Kassem; J Steele; J Pearl; J Strohmaier; R Breuer; M Schwarz; P Propping; M M Nöthen; S Cichon; J Schumacher; M Rietschel; F J McMahon
Journal:  Mol Psychiatry       Date:  2008-12-16       Impact factor: 15.992

9.  A genome-wide association study implicates diacylglycerol kinase eta (DGKH) and several other genes in the etiology of bipolar disorder.

Authors:  A E Baum; N Akula; M Cabanero; I Cardona; W Corona; B Klemens; T G Schulze; S Cichon; M Rietschel; M M Nöthen; A Georgi; J Schumacher; M Schwarz; R Abou Jamra; S Höfels; P Propping; J Satagopan; S D Detera-Wadleigh; J Hardy; F J McMahon
Journal:  Mol Psychiatry       Date:  2007-05-08       Impact factor: 15.992

10.  Collaborative genome-wide association analysis supports a role for ANK3 and CACNA1C in bipolar disorder.

Authors:  Manuel A R Ferreira; Michael C O'Donovan; Yan A Meng; Ian R Jones; Douglas M Ruderfer; Lisa Jones; Jinbo Fan; George Kirov; Roy H Perlis; Elaine K Green; Jordan W Smoller; Detelina Grozeva; Jennifer Stone; Ivan Nikolov; Kimberly Chambert; Marian L Hamshere; Vishwajit L Nimgaonkar; Valentina Moskvina; Michael E Thase; Sian Caesar; Gary S Sachs; Jennifer Franklin; Katherine Gordon-Smith; Kristin G Ardlie; Stacey B Gabriel; Christine Fraser; Brendan Blumenstiel; Matthew Defelice; Gerome Breen; Michael Gill; Derek W Morris; Amanda Elkin; Walter J Muir; Kevin A McGhee; Richard Williamson; Donald J MacIntyre; Alan W MacLean; Clair David St; Michelle Robinson; Margaret Van Beck; Ana C P Pereira; Radhika Kandaswamy; Andrew McQuillin; David A Collier; Nicholas J Bass; Allan H Young; Jacob Lawrence; I Nicol Ferrier; Adebayo Anjorin; Anne Farmer; David Curtis; Edward M Scolnick; Peter McGuffin; Mark J Daly; Aiden P Corvin; Peter A Holmans; Douglas H Blackwood; Hugh M Gurling; Michael J Owen; Shaun M Purcell; Pamela Sklar; Nick Craddock
Journal:  Nat Genet       Date:  2008-09       Impact factor: 38.330

  10 in total
  5 in total

1.  Association of CACNA1C with bipolar disorder among the Pakistani population.

Authors:  Madiha Khalid; Terri M Driessen; Jong Seo Lee; Leon Tejwani; Asad Rasool; Muhammad Saqlain; Pakeeza Arzoo Shiaq; Muhammad Hanif; Amber Nawaz; Andrew T DeWan; Ghazala Kaukab Raja; Janghoo Lim
Journal:  Gene       Date:  2018-04-22       Impact factor: 3.688

Review 2.  Genetic substrates of bipolar disorder risk in Latino families.

Authors:  Michael Escamilla; Camille Merhi
Journal:  Mol Psychiatry       Date:  2022-08-10       Impact factor: 13.437

3.  Analysis of ANK3 and CACNA1C variants identified in bipolar disorder whole genome sequence data.

Authors:  Alessia Fiorentino; Niamh Louise O'Brien; Devin Paul Locke; Andrew McQuillin; Alexandra Jarram; Adebayo Anjorin; Radhika Kandaswamy; David Curtis; Robert Alan Blizard; Hugh Malcolm Douglas Gurling
Journal:  Bipolar Disord       Date:  2014-04-10       Impact factor: 6.744

4.  Independent replications and integrative analyses confirm TRANK1 as a susceptibility gene for bipolar disorder.

Authors:  Wenqiang Li; Xin Cai; Hui-Juan Li; Meng Song; Chu-Yi Zhang; Yongfeng Yang; Luwen Zhang; Lijuan Zhao; Weipeng Liu; Lu Wang; Minglong Shao; Yan Zhang; Chen Zhang; Jun Cai; Dong-Sheng Zhou; Xingxing Li; Li Hui; Qiu-Fang Jia; Na Qu; Bao-Liang Zhong; Shu-Fang Zhang; Jing Chen; Bin Xia; Yi Li; Xueqin Song; Weixing Fan; Wei Tang; Wenxin Tang; Jinsong Tang; Xiaogang Chen; Weihua Yue; Dai Zhang; Yiru Fang; Xiao Xiao; Ming Li; Luxian Lv; Hong Chang
Journal:  Neuropsychopharmacology       Date:  2020-08-13       Impact factor: 7.853

5.  Replication of genome-wide association study (GWAS) susceptibility loci in a Latino bipolar disorder cohort.

Authors:  Suzanne Gonzalez; Jayanta Gupta; Erika Villa; Indika Mallawaarachchi; Marco Rodriguez; Mercedes Ramirez; Juan Zavala; Regina Armas; Albana Dassori; Javier Contreras; Deborah Flores; Alvaro Jerez; Alfonso Ontiveros; Humberto Nicolini; Michael Escamilla
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  5 in total

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