title: Meta-analysis of genome-wide scans for blood pressure in African American and Nigerian samples. The National Heart, Lung, and Blood Institute GeneLink Project.
abstract: BACKGROUND
  In many genetic studies of complex traits, sample sizes are often too small to detect linkages of low-to-moderate effects. However, the combined linkage evidence across several studies can be synthesized using meta-analysis with the aim of providing more definitive support of linkage.
  
  
  METHODS
  In the current study using the National Heart, Lung, and Blood Institute (NHLBI) GeneLink Project, a meta-analysis based on a modification of Fisher's method of pooling P values was used to investigate linkage for systolic blood pressure (SBP) and diastolic blood pressure (DBP) values across three studies involving African American and Nigerian families (HyperGEN, Health, Risk Factors, Exercise Training and Genetics [HERITAGE], and Genetics of Hypertension in Blacks).
  
  
  RESULTS
  The meta results suggest two regions (2p and 7p) provide enhanced linkage evidence compared with the individual study results. The maximal meta Lod score of 2.9 on 2p14-p13.1 (64-78 cM) represented approximately 1-Lod unit increase over the respective individual study scores. This general region has been implicated previously involving primarily families of white ethnicity and provides confirmatory evidence that this QTL is common across ethnic groups. The second finding at 7p21.3-p15.3 (8-25 cM) provided a meta Lod of 3.5. Although region was implicated primarily in the Nigerian subjects the low-level but consistent support involving the African American families (individual Lod score of 1.0) suggests a novel QTL with respect to BP variation in individuals of black ethnicity.
  
  
  CONCLUSIONS
  Follow-up studies involving positional cloning efforts of the combined families showing linkage evidence in these regions (particularly 2p) may be warranted to verify these findings and identify the genes and causative variants.
authors.affiliation: Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA.
authors.forename: Treva
authors.initials: T
authors.lastname: Rice
authors.forename: Richard S
authors.initials: RS
authors.lastname: Cooper
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Wu
authors.forename: Claude
authors.initials: C
authors.lastname: Bouchard
authors.forename: Tuomo
authors.initials: T
authors.lastname: Rankinen
authors.forename: D C
authors.initials: DC
authors.lastname: Rao
authors.forename: Cashell E
authors.initials: CE
authors.lastname: Jaquish
authors.forename: Richard R
authors.initials: RR
authors.lastname: Fabsitz
authors.forename: Michael A
authors.initials: MA
authors.lastname: Province
mesh_terms: D000293:Adolescent; D000328:Adult; D001741:Black or African American / Q000235:genetics*; D000368:Aged; D000369:Aged, 80 and over; D044383:Black People / Q000235:genetics*; D001794:Blood Pressure / Q000235:genetics*; D005260:Female; D015894:Genome, Human; D006801:Humans; D006973:Hypertension / Q000235:genetics; D008297:Male; D008875:Middle Aged; D009549:Nigeria / Q000208:ethnology