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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, CL29 14
Chiodini, BD29 24
Sham, P14 2
Lewis, CM29
Abkevich, V11
Adeyemo, AA13
De Andrade, M10
Arya, R15
Berenson, GS6
Blangero, J19
Boehnke, M20
Borecki, IB18
Chagnon, YC9
Chen, W6
Comuzzie, AG19
Deng, HW27 28 26
Duggirala, R19
Feitosa, MF18
Froguel, P5
Hanson, RL3
Hebebrand, J22
HuezoDias, P2
Kissebah, AH25
Li, W16
Luke, A4
Martin, LJ21
Nash, M2
Öhman, M8 12
Palmer, LJ7 17
Peltonen, L8 1
Perola, M8
Price, RA16
Redline, S23
Srinivasan, SR6
Stern, MP15
Stone, S11
Stringham, H20
Turner, S10
Wijmenga, C12
Collier, DA14 2 2
 
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
2012 Impact Factor: 3.922
2012 SCImago Journal Rankings: 1.716
 
DOIhttp://dx.doi.org/10.1038/oby.2007.269
 
ISI Accession Number IDWOS:000250110900013
 
ReferencesReferences in Scopus
 
DC FieldValue
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
2012 Impact Factor: 3.922
2012 SCImago Journal Rankings: 1.716
 
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
 
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Author Affiliations
  1. Massachusetts Institute of Technology
  2. King's College London
  3. National Institute of Diabetes and Digestive and Kidney Diseases
  4. Loyola University Medical Center
  5. Hammersmith Hospital
  6. Tulane Center for Cardiovascular Health
  7. Western Australian Institute for Medical Research
  8. Helsingin Yliopisto
  9. Université Laval
  10. Mayo Clinic
  11. Myriad Genetics, Inc.
  12. Universitair Medisch Centrum Groningen
  13. Howard University
  14. MRC Social, Genetic and Developmental Psychiatry Research Centre
  15. University of Texas Health Science Center at San Antonio
  16. University of Pennsylvania
  17. Kansanterveyslaitos
  18. Washington University in St. Louis School of Medicine
  19. Southwest Foundation for Biomedical Research
  20. University of Michigan School of Public Health
  21. University of Cincinnati College of Medicine
  22. Universität Duisburg-Essen
  23. Case Western Reserve University
  24. Istituto di Ricerche Farmacologiche Mario Negri
  25. Medical College of Wisconsin
  26. Hunan Normal University
  27. Creighton University Medical Center
  28. Xi'an Jiaotong University
  29. Guy's Hospital