Genome-wide scan and conditional analysis in bipolar disorder

Evidence for genomic interaction in the National Institute of Mental Health genetics initiative bipolar pedigrees

Melvin G. McInnis, Danielle M. Dick, Virginia L. Willour, Dimitrios Avramopoulos, Dean F. MacKinnon, Sylvia G. Simpson, James B. Potash, Howard Edenberg, Elizabeth S. Bowman, Francis J. McMahon, Carrie Smiley, Jennifer L. Chellis, Yuqing Huo, Tyra Diggs, Eric T. Meyer, Marvin Miller, Amy T. Matteini, N. Leela Rau, J. Raymond DePaulo, Elliot S. Gershon & 8 others Judith A. Badner, John P. Rice, Alison M. Goate, Sevilla D. Detera-Wadleigh, John Nurnberger, Theodore Reich, Peter P. Zandi, Tatiana Foroud

Research output: Contribution to journalArticle

67 Citations (Scopus)

Abstract

Background: In 1989 the National Institute of Mental Health began a collaborative effort to identify genes for bipolar disorder. The first 97 pedigrees showed evidence of linkage to chromosomes 1, 6, 7, 10, 16, and 22 (Nurnberger et al 1997). An additional 56 bipolar families have been genotyped, and the combined sample of 153 pedigrees studied. Methods: Three hierarchical affection status models were analyzed with 513 simple sequence repeat markers; 298 were common across all pedigrees. The primary analysis was a nonparametric genome-wide scan. We performed conditional analyses based on epistasis or heterogeneity for five regions. Results: One region, on 16p13, was significant at the genome-wide p < .05 level. Four additional chromosomal regions (20p12, 11p15, 6q24, and 10p12) showed nominally significant linkage findings (p ≤ .01). Conditional analysis assuming epistasis identified a significant increase in linkage at four regions. Families linked to 6q24 showed a significant increase in nonparametric logarithms of the odds (NPL) scores at 5q11 and 7q21. Epistasis also was observed between 20p12 and 13q21, and 16p13 and 9q21. Conclusions: The findings are presented in rank order of nominal significance. Several of these regions have been previously implicated in independent studies of either bipolar disorder or schizophrenia. The strongest finding is at 16p13 at D16S748 with an NPL of 3.3, there is evidence of epistasis between this locus and 9q21. Application of conditional analyses is potentially useful in larger sample collections to identify susceptibility genes of modest influence that may not be identified in a genome-wide scan aimed to identify single gene effects.

Original languageEnglish
Pages (from-to)1265-1273
Number of pages9
JournalBiological Psychiatry
Volume54
Issue number11
DOIs
StatePublished - Dec 1 2003

Fingerprint

National Institute of Mental Health (U.S.)
Pedigree
Bipolar Disorder
Genome
Genes
Chromosomes, Human, Pair 6
Chromosomes, Human, Pair 1
Microsatellite Repeats
Schizophrenia

Keywords

  • Bipolar disorder
  • Conditional analysis
  • Genetics
  • Linkage

ASJC Scopus subject areas

  • Biological Psychiatry

Cite this

Genome-wide scan and conditional analysis in bipolar disorder : Evidence for genomic interaction in the National Institute of Mental Health genetics initiative bipolar pedigrees. / McInnis, Melvin G.; Dick, Danielle M.; Willour, Virginia L.; Avramopoulos, Dimitrios; MacKinnon, Dean F.; Simpson, Sylvia G.; Potash, James B.; Edenberg, Howard; Bowman, Elizabeth S.; McMahon, Francis J.; Smiley, Carrie; Chellis, Jennifer L.; Huo, Yuqing; Diggs, Tyra; Meyer, Eric T.; Miller, Marvin; Matteini, Amy T.; Rau, N. Leela; DePaulo, J. Raymond; Gershon, Elliot S.; Badner, Judith A.; Rice, John P.; Goate, Alison M.; Detera-Wadleigh, Sevilla D.; Nurnberger, John; Reich, Theodore; Zandi, Peter P.; Foroud, Tatiana.

In: Biological Psychiatry, Vol. 54, No. 11, 01.12.2003, p. 1265-1273.

Research output: Contribution to journalArticle

McInnis, MG, Dick, DM, Willour, VL, Avramopoulos, D, MacKinnon, DF, Simpson, SG, Potash, JB, Edenberg, H, Bowman, ES, McMahon, FJ, Smiley, C, Chellis, JL, Huo, Y, Diggs, T, Meyer, ET, Miller, M, Matteini, AT, Rau, NL, DePaulo, JR, Gershon, ES, Badner, JA, Rice, JP, Goate, AM, Detera-Wadleigh, SD, Nurnberger, J, Reich, T, Zandi, PP & Foroud, T 2003, 'Genome-wide scan and conditional analysis in bipolar disorder: Evidence for genomic interaction in the National Institute of Mental Health genetics initiative bipolar pedigrees', Biological Psychiatry, vol. 54, no. 11, pp. 1265-1273. https://doi.org/10.1016/j.biopsych.2003.08.001
McInnis, Melvin G. ; Dick, Danielle M. ; Willour, Virginia L. ; Avramopoulos, Dimitrios ; MacKinnon, Dean F. ; Simpson, Sylvia G. ; Potash, James B. ; Edenberg, Howard ; Bowman, Elizabeth S. ; McMahon, Francis J. ; Smiley, Carrie ; Chellis, Jennifer L. ; Huo, Yuqing ; Diggs, Tyra ; Meyer, Eric T. ; Miller, Marvin ; Matteini, Amy T. ; Rau, N. Leela ; DePaulo, J. Raymond ; Gershon, Elliot S. ; Badner, Judith A. ; Rice, John P. ; Goate, Alison M. ; Detera-Wadleigh, Sevilla D. ; Nurnberger, John ; Reich, Theodore ; Zandi, Peter P. ; Foroud, Tatiana. / Genome-wide scan and conditional analysis in bipolar disorder : Evidence for genomic interaction in the National Institute of Mental Health genetics initiative bipolar pedigrees. In: Biological Psychiatry. 2003 ; Vol. 54, No. 11. pp. 1265-1273.
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T2 - Evidence for genomic interaction in the National Institute of Mental Health genetics initiative bipolar pedigrees

AU - McInnis, Melvin G.

AU - Dick, Danielle M.

AU - Willour, Virginia L.

AU - Avramopoulos, Dimitrios

AU - MacKinnon, Dean F.

AU - Simpson, Sylvia G.

AU - Potash, James B.

AU - Edenberg, Howard

AU - Bowman, Elizabeth S.

AU - McMahon, Francis J.

AU - Smiley, Carrie

AU - Chellis, Jennifer L.

AU - Huo, Yuqing

AU - Diggs, Tyra

AU - Meyer, Eric T.

AU - Miller, Marvin

AU - Matteini, Amy T.

AU - Rau, N. Leela

AU - DePaulo, J. Raymond

AU - Gershon, Elliot S.

AU - Badner, Judith A.

AU - Rice, John P.

AU - Goate, Alison M.

AU - Detera-Wadleigh, Sevilla D.

AU - Nurnberger, John

AU - Reich, Theodore

AU - Zandi, Peter P.

AU - Foroud, Tatiana

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N2 - Background: In 1989 the National Institute of Mental Health began a collaborative effort to identify genes for bipolar disorder. The first 97 pedigrees showed evidence of linkage to chromosomes 1, 6, 7, 10, 16, and 22 (Nurnberger et al 1997). An additional 56 bipolar families have been genotyped, and the combined sample of 153 pedigrees studied. Methods: Three hierarchical affection status models were analyzed with 513 simple sequence repeat markers; 298 were common across all pedigrees. The primary analysis was a nonparametric genome-wide scan. We performed conditional analyses based on epistasis or heterogeneity for five regions. Results: One region, on 16p13, was significant at the genome-wide p < .05 level. Four additional chromosomal regions (20p12, 11p15, 6q24, and 10p12) showed nominally significant linkage findings (p ≤ .01). Conditional analysis assuming epistasis identified a significant increase in linkage at four regions. Families linked to 6q24 showed a significant increase in nonparametric logarithms of the odds (NPL) scores at 5q11 and 7q21. Epistasis also was observed between 20p12 and 13q21, and 16p13 and 9q21. Conclusions: The findings are presented in rank order of nominal significance. Several of these regions have been previously implicated in independent studies of either bipolar disorder or schizophrenia. The strongest finding is at 16p13 at D16S748 with an NPL of 3.3, there is evidence of epistasis between this locus and 9q21. Application of conditional analyses is potentially useful in larger sample collections to identify susceptibility genes of modest influence that may not be identified in a genome-wide scan aimed to identify single gene effects.

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