Let $a,b,c,d$ be fixed and in a small neighborhood of $0$, so the series $$f(n) = \sum_{k=0}^\infty\frac{\Gamma (a+k+n+1) \Gamma (b+3 k+n+1)}{\Gamma (c+k+2) \Gamma (d+3 k+2 n+2)}$$ converges, the title is special case $a=b=c=d=0$.
Question: What is the leading asymptotic of $f(n)$ as $n\to \infty$, with general $a,b,c,d$ near $0$.
The expression of $f(n)$ is a hypergeometric series and can be converted into an integral form, then a similar analysis like here should be feasible. But this approach is quite complicated, I'm looking for alternative solutions. Thank you very much.
If you simplify the hypergeometric function $$f(n)=\frac{\sqrt \pi}{4^{n-1} }\,\frac{\Gamma (n-2)}{\Gamma \left(n-\frac{1}{2}\right)} \,(A-1)$$ where $$A=\, _4F_3\left(\frac{n-2}{3},\frac{n-1}{3},\frac {n}{3},n;\frac{2 n-1}{3},\frac{2n+1}{3},\frac{2 n}{3};1\right)$$ which is not the most pleasant to work.
A bit of numerical analysis shows that $$\log\Bigg(\frac {f(n)}{4 \sqrt \pi}\Bigg)=a+b \,n +c \log(n)$$
A quick and dirty linear regression gives $(R^2=0.9999954)$
$$\begin{array}{|llll} \hline \text{} & \text{Estimate} & \text{Std Error} & \text{Confidence Interval} \\ a & -1.35909 & 0.05189 & \{-1.46811,-1.25006\} \\ b & -1.13160 & 0.00264 & \{-1.13715,-1.12605\} \\ c & -1.16383 & 0.03442 & \{-1.23615,-1.09151\} \\ \end{array}$$
Using the $ISC$ to produce "nice" numbers $$a \sim -\frac{3+e^{\frac{1}{\pi }}}{5-e^{\gamma }}$$ for an absolute error of $7.33\times 10^{-8}$.
$$b \sim -\frac{3 \left(2+\Gamma \left(\frac{11}{24}\right)\right)}{1+3 \pi }$$ for an absolute error of $1.35\times 10^{-8}$.
$$c \sim -\frac {e-\zeta (5) } {e^{\frac{1}{e}} }$$ for an absolute error of $1.70\times 10^{-7}$.