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. 2018 Dec;21(12):1656-1669.
doi: 10.1038/s41593-018-0275-1. Epub 2018 Nov 26.

Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

Raymond K Walters  1   2 Renato Polimanti  3 Emma C Johnson  4 Jeanette N McClintick  5 Mark J Adams  6 Amy E Adkins  7 Fazil Aliev  8 Silviu-Alin Bacanu  9 Anthony Batzler  10 Sarah Bertelsen  11 Joanna M Biernacka  12 Tim B Bigdeli  13 Li-Shiun Chen  4 Toni-Kim Clarke  6 Yi-Ling Chou  4 Franziska Degenhardt  14 Anna R Docherty  15 Alexis C Edwards  16 Pierre Fontanillas  17 Jerome C Foo  18 Louis Fox  4 Josef Frank  18 Ina Giegling  19 Scott Gordon  20 Laura M Hack  21 Annette M Hartmann  19 Sarah M Hartz  4 Stefanie Heilmann-Heimbach  14 Stefan Herms  14   22 Colin Hodgkinson  23 Per Hoffmann  14   22 Jouke Jan Hottenga  24 Martin A Kennedy  25 Mervi Alanne-Kinnunen  26 Bettina Konte  19 Jari Lahti  27   28 Marius Lahti-Pulkkinen  28 Dongbing Lai  29 Lannie Ligthart  24 Anu Loukola  26 Brion S Maher  30 Hamdi Mbarek  24 Andrew M McIntosh  31 Matthew B McQueen  32 Jacquelyn L Meyers  33 Yuri Milaneschi  34 Teemu Palviainen  26 John F Pearson  35 Roseann E Peterson  16 Samuli Ripatti  1   2   26   36 Euijung Ryu  37 Nancy L Saccone  38 Jessica E Salvatore  8   16 Sandra Sanchez-Roige  39 Melanie Schwandt  40 Richard Sherva  41 Fabian Streit  18 Jana Strohmaier  18 Nathaniel Thomas  7 Jen-Chyong Wang  11 Bradley T Webb  9 Robbee Wedow  1   2   42   43 Leah Wetherill  29 Amanda G Wills  44 23andMe Research TeamJason D Boardman  45 Danfeng Chen  2 Doo-Sup Choi  46 William E Copeland  47 Robert C Culverhouse  48 Norbert Dahmen  49 Louisa Degenhardt  50 Benjamin W Domingue  51 Sarah L Elson  17 Mark A Frye  52 Wolfgang Gäbel  53 Caroline Hayward  54 Marcus Ising  55 Margaret Keyes  56 Falk Kiefer  57 John Kramer  58 Samuel Kuperman  58 Susanne Lucae  55 Michael T Lynskey  59 Wolfgang Maier  60 Karl Mann  57 Satu Männistö  61 Bertram Müller-Myhsok  62 Alison D Murray  63 John I Nurnberger  29   64 Aarno Palotie  1   2   26   65 Ulrich Preuss  19   66 Katri Räikkönen  28 Maureen D Reynolds  67 Monika Ridinger  68 Norbert Scherbaum  69 Marc A Schuckit  39 Michael Soyka  70   71 Jens Treutlein  18 Stephanie Witt  18 Norbert Wodarz  72 Peter Zill  71 Daniel E Adkins  15   73 Joseph M Boden  25 Dorret I Boomsma  24 Laura J Bierut  4 Sandra A Brown  39   74 Kathleen K Bucholz  4 Sven Cichon  22 E Jane Costello  47 Harriet de Wit  75 Nancy Diazgranados  75 Danielle M Dick  7   76 Johan G Eriksson  77 Lindsay A Farrer  41   78 Tatiana M Foroud  29 Nathan A Gillespie  16 Alison M Goate  11 David Goldman  23   40 Richard A Grucza  4 Dana B Hancock  79 Kathleen Mullan Harris  80 Andrew C Heath  4 Victor Hesselbrock  81 John K Hewitt  82 Christian J Hopfer  83 John Horwood  25 William Iacono  56 Eric O Johnson  84 Jaakko A Kaprio  26   36 Victor M Karpyak  52 Kenneth S Kendler  9 Henry R Kranzler  85 Kenneth Krauter  86 Paul Lichtenstein  87 Penelope A Lind  20 Matt McGue  56 James MacKillop  88 Pamela A F Madden  4 Hermine H Maes  89 Patrik Magnusson  87 Nicholas G Martin  20 Sarah E Medland  20 Grant W Montgomery  90 Elliot C Nelson  4 Markus M Nöthen  91 Abraham A Palmer  39   92 Nancy L Pedersen  87 Brenda W J H Penninx  34 Bernice Porjesz  33 John P Rice  4 Marcella Rietschel  18 Brien P Riley  9 Richard Rose  93 Dan Rujescu  19 Pei-Hong Shen  23 Judy Silberg  16 Michael C Stallings  82 Ralph E Tarter  67 Michael M Vanyukov  67 Scott Vrieze  56 Tamara L Wall  39 John B Whitfield  20 Hongyu Zhao  94 Benjamin M Neale  1   2 Joel Gelernter  95 Howard J Edenberg  96   97 Arpana Agrawal  98
Collaborators, Affiliations

Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

Raymond K Walters et al. Nat Neurosci. 2018 Dec.

Abstract

Liability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest genome-wide association study to date of DSM-IV-diagnosed AD. Genome-wide data on 14,904 individuals with AD and 37,944 controls from 28 case-control and family-based studies were meta-analyzed, stratified by genetic ancestry (European, n = 46,568; African, n = 6,280). Independent, genome-wide significant effects of different ADH1B variants were identified in European (rs1229984; P = 9.8 × 10-13) and African ancestries (rs2066702; P = 2.2 × 10-9). Significant genetic correlations were observed with 17 phenotypes, including schizophrenia, attention deficit-hyperactivity disorder, depression, and use of cigarettes and cannabis. The genetic underpinnings of AD only partially overlap with those for alcohol consumption, underscoring the genetic distinction between pathological and nonpathological drinking behaviors.

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Figures

Figure 1:
Figure 1:. Manhattan plot of discovery trans-ancestral meta-analysis showing strong evidence for rs1229984 in ADH1B.
Results from the discovery meta-analysis of all cohorts (Ncase=14,904, Ncontrol=37,944) for association of genome-wide SNPs with AD under a fixed effects meta-analysis weighted by effective sample size. Dashed red reference line indicates genome-wide significance after correction for multiple testing (p < 5E-8).
Figure 2:
Figure 2:. Regional plots for the ADH1B locus (rs1229984) in the trans-ancestral discovery, African-American (AA), and European (EU), meta-analyses.
Results of fixed effects meta-analysis with effective sample size weights for the ADH1B locus in (A) all cohorts (Ncase=14,904, Ncontrol=37,944); (B) AA cohorts (Ncase=3,335, Ncontrol=2,945); and (C) EU cohorts (Ncase=11,569, Ncontrol=34,999). Red reference line indicates the genome-wide significance threshold after correction for multiple testing within each analysis (p < 5E-8). Within ancestry, colored points reflect the degree of LD (pairwise r2) to the index variant (indicated by a purple diamond) in 1000 Genomes Project reference data for individuals of (B) African or (C) European ancestry, respectively. LD structures in the two ancestries differ, so for the trans-ancestral sample (A) LD is not given, indicted by gray points. Two-tailed tests used for all analyses.
Figure 3:
Figure 3:. Genetic correlations between 45 traits and alcohol dependence in Europeans.
Genetic correlation results from LD score regression (LDSR) with the meta-analysis of AD in unrelated EU individuals (Ncase=10,206, Ncontrol=28,480). After Bonferroni correction, significant correlations are observed with 17 traits and disorders (p < 1.1E-3; bold), with nominally significant results for 8 additional traits and disorders (p < .05; italics) based on two-tailed tests of the estimated genetic correlation with block jackknife standard errors. Error bars indicate 95% confidence intervals, with arrows indicating intervals extending above 1 or below −1. Vertical gray reference line corresponds to the null hypothesis of no genetic correlation with AD. Phenotypes are organized by research domain.

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