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. Author manuscript; available in PMC: 2013 May 8.
Published in final edited form as: Mamm Genome. 2010 Dec 19;22(0):178–196. doi: 10.1007/s00335-010-9311-5

Table 5. QTL Positional Candidate Genes.

Positional candidate genes are listed for each QTL by QTL name and trait affected (H, humerus; U, ulna; F, femur; T, tibia). The length of the pleiotropic QTL confidence interval (CI; given in bp), the number of genes in the confidence interval, and the number of polymorphisms between LG/J and SM/J that fall in the CI are listed. The genes of interest include genes from families known to contribute to skeletal growth or cellular morphology (see Results). Underlining indicates that a SNP was identified in the coding region of the gene, while boldface indicates the presence of an amino-acid changing mutation(s).

QTL Trait CI Genes SNPs Genes of Interest
Lbn1.2 UF 13,735,703 61 22,548 Rdh10
Lbn1.3 HFT 9,098,689 75 36,819
Lbn1.1a UFT 6,084,606 53 16,044 Atg9a, Chpf, Cul3, Ihh, Pax3
Lbn1.1a H 1,941,869 33 4,079 Rufy4, Tmbim1, Wnt10a, Wnt6
Lbn1.1b HFT 6,943,123 69 8,323 Akp5, Atg16l1, Cab39, Dner, Trip12
Lbn2.4 HUFT 666,122 5 1,161 6330527O06Rik, Pak7, Plcb4
Lbn2.1a UT 4,127,540 20 5,245 Fibin, Kif18a
Lbn2.1b T 1,087,635 4 1,886 Aven, Fmn1, Ryr3
Lbn2.1b HUF 1,581,121 8 2,696 Actc1, Aqr, Arhgap11a, Atpbd4, Gjd2, Scg5, Zfp770
Lbn2.1c HUFT 12,146,034 178 35,894 1500003O03Rik, Bmf, Capn3, Ccndbp1, Dnajc17, Mapkbp1, Meis2
Lbn2.3a HUFT 3,172,374 8 7,841 2310003L22Rik, Btbd3, Esf1, Ism1, Macrod2, Sel1l2, Sptlc3, Tasp1
Lbn2.3b HUFT 3,370,609 74 9,308 Bcl2l1, Gm1006, Kif3b, Rya3, Sox12
Lbn3.3 U 1,021,539 0 1,203
Lbn3.2a HUFT 6,918,457 180 2,980 Adamts14, Bnipl, Ecm1, Npr1, Snapin, Tnfaip8l2
Lbn4.1 HUFT 6,490,909 50 15,426 Insl5, Lepr, Leprot, Oma1
Lbn4.2 HUFT 4,844,329 101 25,700 Gmeb1, Map3k6, Matn1, Rcan3, Runx3
Lbn4.3 HUFT 9,312,256 13 18,282 Megf9, Tlr4, Tnfsf15, Tnfsf8
Lbn4.4 HFT 1,778,278 48 4,398 Cdc20
Lbn4.5 HFT 2,165,219 29 5,894 Snip1
Lbn6.2 UFT 3,663,784 20 10,087 1700023A16Rik, 1700034J05Rik, 2210417D09Rik, 4933424B01Rik, Arntl2, EG545893, Fgfr1op2, Itpr2, Klhdc5, Med21, Mrps35, Ppfibp1, Pthlh, Skt38l, Tm7sf3
Lbn6.2 H 1,132,711 15 31,262 Sox5
Lbn6.3 HUFT 1,956,305 20 537 Hdac11, Wnt7a
Lbn6.1a FT 3,344,981 24 7,316 Cadps2, Hyal4, Hyal5, Hyal6, Ing3, Spam1, Wnt16
Lbn7.1 HUFT 6,276,356 89 15,784 Hapln3, Mesdc1, Mesdc2, Mesp1, Mesp2, Rlbp1
Lbn7.3 HUFT 3,056,930 20 7,935 Adamts17, Chsy1, Igf1r
Lbn7.4 HUFT 8,808,703 93 6,125 Sox6
Lbn8.2 HU 1,709,669 21 950
Lbn8.1a HFT 1,197,007 9 496 Cilp2, Comp, Csgalnact1, Gdf1, Gdf15, Insl3, Jund
Lbn8.1a U 2,446,181 9 5,184
Lbn8.1b UF 4,608,981 23 18,965 Hapln4, Hhip
Lbn9.2 HUFT 3,806,152 31 4,574 Adam10, Aldh1a2, Bnip2
Lbn9.3 HUFT 5,433,606 50 40,323 Pcolce2, Rbp1, Rbp2, Sox14
Lbn10.1 HFT 2,980,044 33 6,438 Igf1, Timp3
Lbn10.2 UT 2,257,783 105 8,839 Cdk2, Gdf11, Hsd17b6, Itga7, Mmp19, Os9, Rdh1, Rdh5, Rdh7, Rdh9, Rdh16, Rdh19, Stat2, Stat6
Lbn11.1 HU 3,350,369 5 7,092 Egfr, Meis1
Lbn11.2 HUF 8,839,855 131 14,294 Adamts2, Col23a1, Flt4, Gdf9, Kif3a, Mapk9
Lbn11.2 T 3,886,126 74 9,493 Sap30l
Lbn12.1 HUFT 4,019,008 27 7,320 Mbip, Nfkbia, Nkx2-1, Nkx2-9, Pax9
Lbn12.2 U 2,241,976 10 5,557
Lbn12.3 HUFT 3,895,541 40 10,749 Cdkl1, Map4k5
Lbn12.4 HUFT 3,961,529 33 2,730 Esr2, Rdh11, Rdh12
Lbn12.5 T 4,642,071 63 1,352 Fos, Ltbp2, Pgf, Tgfb3
Lbn13.1 HUFT 5,458,185 35 7,926 Adamts6, Ccnb1, Rad17
Lbn14.1 HUFT 5,450,897 5 21,697 Diap3, Pcdh17, Pcdh20, Tdrd3
Lbn15.2 HUFT 3,169,700 15 7,953 Kif21a
Lbn15.3 HU 3,249,196 18 4,716 Col14a1, Has2
Lbn18.2 HFT 1,635,348 8 1,348
Lbn18.1a HUFT 5,391,984 35 10,052 Nr3c1
Lbn18.1b U 9,241,364 51 18,924 Atg12
Lbn19.1 HUFT 4,475,262 161 1,395 Atg2a, Bad, Capn1, Efemp2, Esrra, Fibp, Fosl1, Kat5, Ltbp3, Map3k11, Map4k2, Vegfb

Interestingly, while we expected to identify QTL with confidence intervals of ~0.5 F2 cM, actual confidence intervals averaged ~1.7 F2 cM (corresponding to ~4.5 Mb). In terms of physical distances, the confidence intervals ranged from 14 Mb for the largest QTL (Lbn1.2) to 0.6 Mb for the smallest QTL (Lbn2.4), with about half of the QTL having confidence intervals between 2 and 5 Mb (see Table 5). There are several possible reasons for the apparent lack of increased resolution between the F9-10 and F34 generations. First, as opposed to the previous studies on which the 0.5 F2 cM estimate was based, the parental generation (F33) was not included in the mapping population because it was not subject to the same dietary treatments. As discussed in the previous studies, familial autocorrelation inflated QTL peak size and this did impact how confidence intervals were set in earlier generations. While all F34 individuals are related and thus subject to familial autocorrelation, the absence of the parental generation should have decreased QTL peak inflation relative to previous generations. A second possibility is that some QTL are caused by multiple linked genomic elements. While several of the QTL reported above have short confidence intervals with few (≥ 10) or no candidate genes (Lbn2.1b, Lbn2.3a, Lbn2.4, Lbn3.3, Lbn8.1a, Lbn11.1, Lbn12.2, Lbn14.1, and Lbn18.2), the majority have between 20 and 70 candidate genes (listed in Table 5). The absence of most of the known major endochondral ossification regulators within the confidence intervals supports the idea that genes controlling normal cellular processes such as metabolism, motility, or cell division have a measurable cumulative effect on cellular dynamics. Given the nature of bone elongation via the growth plate, this finding is not unreasonable.