Article: Meta-analysis of genome-wide linkage studies in BMI and obesity

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TitleMeta-analysis of genome-wide linkage studies in BMI and obesity
AuthorsSaunders, CL3
Chiodini, BD3 23
Sham, P3
Lewis, CM3
Abkevich, V11
Adeyemo, AA13
De Andrade, M8
Arya, R6
Berenson, GS7
Blangero, J16
Boehnke, M27
Borecki, IB5
Chagnon, YC10
Chen, W7
Comuzzie, AG16
Deng, HW22 25 26
Duggirala, R16
Feitosa, MF5
Froguel, P17
Hanson, RL1
Hebebrand, J20
HuezoDias, P3
Kissebah, AH24
Li, W15
Luke, A4
Martin, LJ19
Nash, M3
Öhman, M9 12
Palmer, LJ14 18
Peltonen, L2 9
Perola, M9
Price, RA15
Redline, S21
Srinivasan, SR7
Stern, MP6
Stone, S11
Stringham, H27
Turner, S8
Wijmenga, C12
Collier, DA3
KeywordsAdiposity
Diabetes
Genetics
Hypertension
Meta-analysis
Issue Date2007
PublisherNorth American Association for the Study of Obesity. The Journal's web site is located at http://www.obesityresearch.org
CitationObesity, 2007, v. 15 n. 9, p. 2263-2275 [How to Cite?]
DOI: http://dx.doi.org/10.1038/oby.2007.269
AbstractObjective: The objective was to provide an overall assessment of genetic linkage data of BMI and BMI-defined obesity using a nonparametric genome scan meta-analysis. Research Methods and Procedures: We identified 37 published studies containing data on over 31,000 individuals from more than >10,000 families and obtained genome-wide logarithm of the odds (LOD) scores, non-parametric linkage (NPL) scores, or maximum likelihood scores (MLS). BMI was analyzed in a pooled set of all studies, as a subgroup of 10 studies that used BMI-defined obesity, and for subgroups ascertained through type 2 diabetes, hypertension, or subjects of European ancestry. Results: Bins at chromosome 13q13.2- q33.1, 12q23-q24.3 achieved suggestive evidence of linkage to BMI in the pooled analysis and samples ascertained for hypertension. Nominal evidence of linkage to these regions and suggestive evidence for 11q13.3-22.3 were also observed for BMI-defined obesity. The FTO obesity gene locus at 16q12.2 also showed nominal evidence for linkage. However, overall distribution of summed rank p values <0.05 is not different from that expected by chance. The strongest evidence was obtained in the families ascertained for hypertension at 9q31.1-qter and 12p11.21-q23 (p < 0.01). Conclusion: Despite having substantial statistical power, we did not unequivocally implicate specific loci for BMI or obesity. This may be because genes influencing adiposity are of very small effect, with substantial genetic heterogeneity and variable dependence on environmental factors. However, the observation that the FTO gene maps to one of the highest ranking bins for obesity is interesting and, while not a validation of this approach, indicates that other potential loci identified in this study should be investigated further. Copyright © 2007 NAASO.
ISSN1930-7381
2011 Impact Factor: 4.284
2011 SCImago Journal Rankings: 0.362
DOIhttp://dx.doi.org/10.1038/oby.2007.269
ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorSaunders, CL
dc.contributor.authorChiodini, BD
dc.contributor.authorSham, P
dc.contributor.authorLewis, CM
dc.contributor.authorAbkevich, V
dc.contributor.authorAdeyemo, AA
dc.contributor.authorDe Andrade, M
dc.contributor.authorArya, R
dc.contributor.authorBerenson, GS
dc.contributor.authorBlangero, J
dc.contributor.authorBoehnke, M
dc.contributor.authorBorecki, IB
dc.contributor.authorChagnon, YC
dc.contributor.authorChen, W
dc.contributor.authorComuzzie, AG
dc.contributor.authorDeng, HW
dc.contributor.authorDuggirala, R
dc.contributor.authorFeitosa, MF
dc.contributor.authorFroguel, P
dc.contributor.authorHanson, RL
dc.contributor.authorHebebrand, J
dc.contributor.authorHuezoDias, P
dc.contributor.authorKissebah, AH
dc.contributor.authorLi, W
dc.contributor.authorLuke, A
dc.contributor.authorMartin, LJ
dc.contributor.authorNash, M
dc.contributor.authorÖhman, M
dc.contributor.authorPalmer, LJ
dc.contributor.authorPeltonen, L
dc.contributor.authorPerola, M
dc.contributor.authorPrice, RA
dc.contributor.authorRedline, S
dc.contributor.authorSrinivasan, SR
dc.contributor.authorStern, MP
dc.contributor.authorStone, S
dc.contributor.authorStringham, H
dc.contributor.authorTurner, S
dc.contributor.authorWijmenga, C
dc.contributor.authorCollier, DA
dc.date.accessioned2010-09-06T08:19:09Z
dc.date.available2010-09-06T08:19:09Z
dc.date.issued2007
dc.description.abstractObjective: The objective was to provide an overall assessment of genetic linkage data of BMI and BMI-defined obesity using a nonparametric genome scan meta-analysis. Research Methods and Procedures: We identified 37 published studies containing data on over 31,000 individuals from more than >10,000 families and obtained genome-wide logarithm of the odds (LOD) scores, non-parametric linkage (NPL) scores, or maximum likelihood scores (MLS). BMI was analyzed in a pooled set of all studies, as a subgroup of 10 studies that used BMI-defined obesity, and for subgroups ascertained through type 2 diabetes, hypertension, or subjects of European ancestry. Results: Bins at chromosome 13q13.2- q33.1, 12q23-q24.3 achieved suggestive evidence of linkage to BMI in the pooled analysis and samples ascertained for hypertension. Nominal evidence of linkage to these regions and suggestive evidence for 11q13.3-22.3 were also observed for BMI-defined obesity. The FTO obesity gene locus at 16q12.2 also showed nominal evidence for linkage. However, overall distribution of summed rank p values <0.05 is not different from that expected by chance. The strongest evidence was obtained in the families ascertained for hypertension at 9q31.1-qter and 12p11.21-q23 (p < 0.01). Conclusion: Despite having substantial statistical power, we did not unequivocally implicate specific loci for BMI or obesity. This may be because genes influencing adiposity are of very small effect, with substantial genetic heterogeneity and variable dependence on environmental factors. However, the observation that the FTO gene maps to one of the highest ranking bins for obesity is interesting and, while not a validation of this approach, indicates that other potential loci identified in this study should be investigated further. Copyright © 2007 NAASO.
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationObesity, 2007, v. 15 n. 9, p. 2263-2275 [How to Cite?]
DOI: http://dx.doi.org/10.1038/oby.2007.269
dc.identifier.doihttp://dx.doi.org/10.1038/oby.2007.269
dc.identifier.epage2275
dc.identifier.hkuros151611
dc.identifier.isiWOS:000250110900013
dc.identifier.issn1930-7381
2011 Impact Factor: 4.284
2011 SCImago Journal Rankings: 0.362
dc.identifier.issue9
dc.identifier.openurl
dc.identifier.pmid17890495
dc.identifier.scopuseid_2-s2.0-35548952185
dc.identifier.spage2263
dc.identifier.urihttp://hdl.handle.net/10722/81550
dc.identifier.volume15
dc.languageeng
dc.publisherNorth American Association for the Study of Obesity. The Journal's web site is located at http://www.obesityresearch.org
dc.publisher.placeUnited States
dc.relation.ispartofObesity
dc.relation.referencesReferences in Scopus
dc.subjectAdiposity
dc.subjectDiabetes
dc.subjectGenetics
dc.subjectHypertension
dc.subjectMeta-analysis
dc.titleMeta-analysis of genome-wide linkage studies in BMI and obesity
dc.typeArticle
Author Affiliations
  1. National Institute of Diabetes and Digestive and Kidney Diseases
  2. Massachusetts Institute of Technology
  3. King's College London
  4. Loyola University Medical Center
  5. University of Washington School of Medicine
  6. University of Texas System
  7. Tulane Center for Cardiovascular Health
  8. Mayo Clinic
  9. Helsingin Yliopisto
  10. Université Laval
  11. Myriad Genetics, Inc.
  12. Universitair Medisch Centrum Groningen
  13. Howard University
  14. Kansanterveyslaitos
  15. University of Pennsylvania
  16. Southwest Foundation for Biomedical Research
  17. Imperial College London
  18. University of Western Australia
  19. University of Cincinnati College of Medicine
  20. Universität Duisburg-Essen
  21. Case Western Reserve University
  22. Hunan Normal University
  23. Istituto di Ricerche Farmacologiche Mario Negri
  24. Medical College of Wisconsin
  25. Creighton University Medical Center
  26. Xi'an Jiaotong University
  27. University of Michigan