Distinct genetic signatures for variability in total and free serum thyroxine levels in four sets of recombinant inbred mice

Sandra M. McLachlan, Lu Lu, Holly A. Aliesky, Robert Williams, Basil Rapoport

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

C3H/He and BALB/c mice have elevated serum thyroxine levels associated with low deiodinase type-1 activity whereas C57BL/6 (B6) mice have low thyroxine levels and elevated deiodinase type-1 activity. High-resolution genetic maps are available for four sets of recombinant inbred (RI) mice derived from B6 parents bred to C3H/He, BALB/c, DBA/2, or A strains. Total and free T4 (T-T4 and F-T4) levels in females from these RI sets (BXH, CXB, BXD, and AXBXA) were analyzed to test two hypotheses: first, serum T4 variability is linked to the deiodinase type-1 gene; second, because of their shared B6 parent, the RI sets will share linkages responsible for T-T4 or F-T4 variability. A number of chromosomes (Chr) and loci were linked to T-T4 (Chr 1, 4, 13, 11) or F-T4 (Chr 1, 6, 13, 18, 19). Linkage between T-T4 and Chr 4 was limited to CXB and BXH strains, but the locus was distinct from the deiodinase type-1 gene. Surprisingly, many linkages were unique providing "genetic signatures" for T-T4 or F-T4 in each set of RI mice. Indeed, the strongest linkage between T-T4 (or F-T4) and a Chr 2 locus (logarithm of the odds scores >4.4) was only observed in AXBXA strains. Some loci corresponded to genes/Chr associated in humans with variable TSH or T-T4 levels. Unlike inbred mice, human populations are extremely diverse. Consequently, our data suggest that the contributions of unique chromosomes/loci controlling T-T4 and F-T4 in distinct human subgroups are likely to be "buried" in genetic analyses of heterogeneous human populations.

Original languageEnglish (US)
Pages (from-to)1172-1179
Number of pages8
JournalEndocrinology
Volume152
Issue number3
DOIs
StatePublished - Mar 1 2011

Fingerprint

Thyroxine
Serum
Chromosomes, Human, Pair 4
Chromosomes
Chromosomes, Human, Pair 1
Genes
Chromosomes, Human, Pair 6
Chromosomes, Human, Pair 2
Population
iodothyronine deiodinase type I

All Science Journal Classification (ASJC) codes

  • Endocrinology

Cite this

Distinct genetic signatures for variability in total and free serum thyroxine levels in four sets of recombinant inbred mice. / McLachlan, Sandra M.; Lu, Lu; Aliesky, Holly A.; Williams, Robert; Rapoport, Basil.

In: Endocrinology, Vol. 152, No. 3, 01.03.2011, p. 1172-1179.

Research output: Contribution to journalArticle

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abstract = "C3H/He and BALB/c mice have elevated serum thyroxine levels associated with low deiodinase type-1 activity whereas C57BL/6 (B6) mice have low thyroxine levels and elevated deiodinase type-1 activity. High-resolution genetic maps are available for four sets of recombinant inbred (RI) mice derived from B6 parents bred to C3H/He, BALB/c, DBA/2, or A strains. Total and free T4 (T-T4 and F-T4) levels in females from these RI sets (BXH, CXB, BXD, and AXBXA) were analyzed to test two hypotheses: first, serum T4 variability is linked to the deiodinase type-1 gene; second, because of their shared B6 parent, the RI sets will share linkages responsible for T-T4 or F-T4 variability. A number of chromosomes (Chr) and loci were linked to T-T4 (Chr 1, 4, 13, 11) or F-T4 (Chr 1, 6, 13, 18, 19). Linkage between T-T4 and Chr 4 was limited to CXB and BXH strains, but the locus was distinct from the deiodinase type-1 gene. Surprisingly, many linkages were unique providing {"}genetic signatures{"} for T-T4 or F-T4 in each set of RI mice. Indeed, the strongest linkage between T-T4 (or F-T4) and a Chr 2 locus (logarithm of the odds scores >4.4) was only observed in AXBXA strains. Some loci corresponded to genes/Chr associated in humans with variable TSH or T-T4 levels. Unlike inbred mice, human populations are extremely diverse. Consequently, our data suggest that the contributions of unique chromosomes/loci controlling T-T4 and F-T4 in distinct human subgroups are likely to be {"}buried{"} in genetic analyses of heterogeneous human populations.",
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