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

TitleMeta-analysis of genome-wide linkage studies in BMI and obesity
Authors
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
Citation
Obesity, 2007, v. 15 n. 9, p. 2263-2275 How to Cite?
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.
Persistent Identifierhttp://hdl.handle.net/10722/81550
ISSN
2014 Impact Factor: 3.734
2014 SCImago Journal Rankings: 1.698
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorSaunders, CLen_HK
dc.contributor.authorChiodini, BDen_HK
dc.contributor.authorSham, Pen_HK
dc.contributor.authorLewis, CMen_HK
dc.contributor.authorAbkevich, Ven_HK
dc.contributor.authorAdeyemo, AAen_HK
dc.contributor.authorDe Andrade, Men_HK
dc.contributor.authorArya, Ren_HK
dc.contributor.authorBerenson, GSen_HK
dc.contributor.authorBlangero, Jen_HK
dc.contributor.authorBoehnke, Men_HK
dc.contributor.authorBorecki, IBen_HK
dc.contributor.authorChagnon, YCen_HK
dc.contributor.authorChen, Wen_HK
dc.contributor.authorComuzzie, AGen_HK
dc.contributor.authorDeng, HWen_HK
dc.contributor.authorDuggirala, Ren_HK
dc.contributor.authorFeitosa, MFen_HK
dc.contributor.authorFroguel, Pen_HK
dc.contributor.authorHanson, RLen_HK
dc.contributor.authorHebebrand, Jen_HK
dc.contributor.authorHuezoDias, Pen_HK
dc.contributor.authorKissebah, AHen_HK
dc.contributor.authorLi, Wen_HK
dc.contributor.authorLuke, Aen_HK
dc.contributor.authorMartin, LJen_HK
dc.contributor.authorNash, Men_HK
dc.contributor.authorÖhman, Men_HK
dc.contributor.authorPalmer, LJen_HK
dc.contributor.authorPeltonen, Len_HK
dc.contributor.authorPerola, Men_HK
dc.contributor.authorPrice, RAen_HK
dc.contributor.authorRedline, Sen_HK
dc.contributor.authorSrinivasan, SRen_HK
dc.contributor.authorStern, MPen_HK
dc.contributor.authorStone, Sen_HK
dc.contributor.authorStringham, Hen_HK
dc.contributor.authorTurner, Sen_HK
dc.contributor.authorWijmenga, Cen_HK
dc.contributor.authorCollier, DAen_HK
dc.date.accessioned2010-09-06T08:19:09Z-
dc.date.available2010-09-06T08:19:09Z-
dc.date.issued2007en_HK
dc.identifier.citationObesity, 2007, v. 15 n. 9, p. 2263-2275en_HK
dc.identifier.issn1930-7381en_HK
dc.identifier.urihttp://hdl.handle.net/10722/81550-
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.en_HK
dc.languageengen_HK
dc.publisherNorth American Association for the Study of Obesity. The Journal's web site is located at http://www.obesityresearch.orgen_HK
dc.relation.ispartofObesityen_HK
dc.subjectAdiposityen_HK
dc.subjectDiabetesen_HK
dc.subjectGeneticsen_HK
dc.subjectHypertensionen_HK
dc.subjectMeta-analysisen_HK
dc.titleMeta-analysis of genome-wide linkage studies in BMI and obesityen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1930-7381&volume=15&spage=2263&epage=2275&date=2007&atitle=Meta-analysis+of+genome-wide+linkage+studies+in+BMI+and+obesity.en_HK
dc.identifier.emailSham, P: pcsham@hku.hken_HK
dc.identifier.authoritySham, P=rp00459en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1038/oby.2007.269en_HK
dc.identifier.pmid17890495en_HK
dc.identifier.scopuseid_2-s2.0-35548952185en_HK
dc.identifier.hkuros151611en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-35548952185&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume15en_HK
dc.identifier.issue9en_HK
dc.identifier.spage2263en_HK
dc.identifier.epage2275en_HK
dc.identifier.isiWOS:000250110900013-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridSaunders, CL=55222903500en_HK
dc.identifier.scopusauthoridChiodini, BD=6602426970en_HK
dc.identifier.scopusauthoridSham, P=34573429300en_HK
dc.identifier.scopusauthoridLewis, CM=7402975073en_HK
dc.identifier.scopusauthoridAbkevich, V=16737785100en_HK
dc.identifier.scopusauthoridAdeyemo, AA=7006809819en_HK
dc.identifier.scopusauthoridDe Andrade, M=18334300400en_HK
dc.identifier.scopusauthoridArya, R=7006824904en_HK
dc.identifier.scopusauthoridBerenson, GS=36049233300en_HK
dc.identifier.scopusauthoridBlangero, J=7006574110en_HK
dc.identifier.scopusauthoridBoehnke, M=7005423657en_HK
dc.identifier.scopusauthoridBorecki, IB=7006776577en_HK
dc.identifier.scopusauthoridChagnon, YC=7006553900en_HK
dc.identifier.scopusauthoridChen, W=14051466700en_HK
dc.identifier.scopusauthoridComuzzie, AG=7007136898en_HK
dc.identifier.scopusauthoridDeng, HW=34568563000en_HK
dc.identifier.scopusauthoridDuggirala, R=7004588861en_HK
dc.identifier.scopusauthoridFeitosa, MF=16189126100en_HK
dc.identifier.scopusauthoridFroguel, P=7102250232en_HK
dc.identifier.scopusauthoridHanson, RL=7401746098en_HK
dc.identifier.scopusauthoridHebebrand, J=21645697400en_HK
dc.identifier.scopusauthoridHuezoDias, P=36484768000en_HK
dc.identifier.scopusauthoridKissebah, AH=7005532454en_HK
dc.identifier.scopusauthoridLi, W=23993021700en_HK
dc.identifier.scopusauthoridLuke, A=7004429379en_HK
dc.identifier.scopusauthoridMartin, LJ=55382763200en_HK
dc.identifier.scopusauthoridNash, M=8771626900en_HK
dc.identifier.scopusauthoridÖhman, M=7006125253en_HK
dc.identifier.scopusauthoridPalmer, LJ=7202347641en_HK
dc.identifier.scopusauthoridPeltonen, L=36051313500en_HK
dc.identifier.scopusauthoridPerola, M=7003719630en_HK
dc.identifier.scopusauthoridPrice, RA=7403298913en_HK
dc.identifier.scopusauthoridRedline, S=7006679493en_HK
dc.identifier.scopusauthoridSrinivasan, SR=36049303700en_HK
dc.identifier.scopusauthoridStern, MP=7401697460en_HK
dc.identifier.scopusauthoridStone, S=7202245449en_HK
dc.identifier.scopusauthoridStringham, H=6603239955en_HK
dc.identifier.scopusauthoridTurner, S=7402275413en_HK
dc.identifier.scopusauthoridWijmenga, C=7005273061en_HK
dc.identifier.scopusauthoridCollier, DA=26642980600en_HK

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